{
"OpenAlex": {
"id": "https://openalex.org/A5005345378",
"orcid": "https://orcid.org/0000-0002-7374-1083",
"display_name": "Bruce K. Wylie",
"display_name_alternatives": [
"Bruce K. Wylie",
"B. Wylie",
"B. K. Wylie",
"B.K Wylie",
"Bruce Wylie",
"Bruce Kaile Wylie",
"Bruce Wylie, B.K. Wylie, B. K. Wylie, B. Wylie, BK Wylie"
],
"works_count": 206,
"cited_by_count": 9177,
"summary_stats": {
"2yr_mean_citedness": 4.5,
"h_index": 40,
"i10_index": 95
},
"ids": {
"openalex": "https://openalex.org/A5005345378",
"orcid": "https://orcid.org/0000-0002-7374-1083",
"scopus": "http://www.scopus.com/inward/authorDetails.url?authorID=7005861597&partnerID=MN8TOARS"
},
"affiliations": [
{
"institution": {
"id": "https://openalex.org/I1286329397",
"ror": "https://ror.org/035a68863",
"display_name": "United States Geological Survey",
"country_code": "US",
"type": "government",
"lineage": [
"https://openalex.org/I1286329397",
"https://openalex.org/I1335927249"
]
},
"years": [
2023,
2022,
2021,
2020,
2019,
2018,
2017,
2016,
2015,
2014
]
},
{
"institution": {
"id": "https://openalex.org/I22555787",
"ror": "https://ror.org/05ndpad60",
"display_name": "University of Sioux Falls",
"country_code": "US",
"type": "education",
"lineage": [
"https://openalex.org/I22555787"
]
},
"years": [
2019,
2018,
2017,
2016,
2015,
2013,
2012,
2011,
2010
]
},
{
"institution": {
"id": "https://openalex.org/I174659583",
"ror": "https://ror.org/03y54e085",
"display_name": "Ecological Society of America",
"country_code": "US",
"type": "nonprofit",
"lineage": [
"https://openalex.org/I174659583"
]
},
"years": [
2018
]
},
{
"institution": {
"id": "https://openalex.org/I4210131007",
"ror": "https://ror.org/02xe89706",
"display_name": "John Wiley & Sons (United States)",
"country_code": "US",
"type": "company",
"lineage": [
"https://openalex.org/I4210131007"
]
},
"years": [
2018
]
},
{
"institution": {
"id": "https://openalex.org/I149700789",
"ror": "https://ror.org/03a3qwm26",
"display_name": "Augustana University",
"country_code": "US",
"type": "education",
"lineage": [
"https://openalex.org/I149700789"
]
},
"years": [
2015,
1997,
1996
]
},
{
"institution": {
"id": "https://openalex.org/I695903724",
"ror": "https://ror.org/022ke2j41",
"display_name": "Electromagnetic Geoservices (Norway)",
"country_code": "NO",
"type": "company",
"lineage": [
"https://openalex.org/I695903724"
]
},
"years": [
2014
]
},
{
"institution": {
"id": "https://openalex.org/I880747138",
"ror": "https://ror.org/00zv91802",
"display_name": "Science Applications International Corporation (United States)",
"country_code": "US",
"type": "company",
"lineage": [
"https://openalex.org/I880747138"
]
},
"years": [
2007,
2004
]
},
{
"institution": {
"id": "https://openalex.org/I1306686416",
"ror": "https://ror.org/0354t7b78",
"display_name": "RTX (United States)",
"country_code": "US",
"type": "company",
"lineage": [
"https://openalex.org/I1306686416"
]
},
"years": [
2003,
2002,
2001
]
},
{
"institution": {
"id": "https://openalex.org/I4210145274",
"ror": "https://ror.org/03sqy6516",
"display_name": "Agricultural Research Service - Plains Area",
"country_code": "US",
"type": "government",
"lineage": [
"https://openalex.org/I1312222531",
"https://openalex.org/I1336096307",
"https://openalex.org/I4210145274"
]
},
"years": [
1995
]
},
{
"institution": {
"id": "https://openalex.org/I1336096307",
"ror": "https://ror.org/01na82s61",
"display_name": "United States Department of Agriculture",
"country_code": "US",
"type": "government",
"lineage": [
"https://openalex.org/I1336096307"
]
},
"years": [
1994
]
}
],
"last_known_institutions": [
{
"id": "https://openalex.org/I1286329397",
"ror": "https://ror.org/035a68863",
"display_name": "United States Geological Survey",
"country_code": "US",
"type": "government",
"lineage": [
"https://openalex.org/I1286329397",
"https://openalex.org/I1335927249"
]
}
],
"topics": [
{
"id": "https://openalex.org/T10111",
"display_name": "Remote Sensing in Vegetation Monitoring and Phenology",
"count": 48,
"subfield": {
"id": "https://openalex.org/subfields/2303",
"display_name": "Ecology"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11333",
"display_name": "Arctic Permafrost Dynamics and Climate Change",
"count": 47,
"subfield": {
"id": "https://openalex.org/subfields/1902",
"display_name": "Atmospheric Science"
},
"field": {
"id": "https://openalex.org/fields/19",
"display_name": "Earth and Planetary Sciences"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T13388",
"display_name": "Factors Affecting Sagebrush Ecosystems and Wildlife Conservation",
"count": 46,
"subfield": {
"id": "https://openalex.org/subfields/2303",
"display_name": "Ecology"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10266",
"display_name": "Global Forest Drought Response and Climate Change",
"count": 38,
"subfield": {
"id": "https://openalex.org/subfields/2306",
"display_name": "Global and Planetary Change"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11588",
"display_name": "Global Methane Emissions and Impacts",
"count": 33,
"subfield": {
"id": "https://openalex.org/subfields/2306",
"display_name": "Global and Planetary Change"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10555",
"display_name": "Impact of Climate Change on Forest Wildfires",
"count": 28,
"subfield": {
"id": "https://openalex.org/subfields/2306",
"display_name": "Global and Planetary Change"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10644",
"display_name": "Impacts of Climate Change on Glaciers and Water Availability",
"count": 25,
"subfield": {
"id": "https://openalex.org/subfields/1902",
"display_name": "Atmospheric Science"
},
"field": {
"id": "https://openalex.org/fields/19",
"display_name": "Earth and Planetary Sciences"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11164",
"display_name": "Mapping Forests with Lidar Remote Sensing",
"count": 23,
"subfield": {
"id": "https://openalex.org/subfields/2305",
"display_name": "Environmental Engineering"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10770",
"display_name": "Digital Soil Mapping Techniques",
"count": 14,
"subfield": {
"id": "https://openalex.org/subfields/2305",
"display_name": "Environmental Engineering"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T12003",
"display_name": "Development and Impacts of Bioenergy Crops",
"count": 12,
"subfield": {
"id": "https://openalex.org/subfields/1102",
"display_name": "Agronomy and Crop Science"
},
"field": {
"id": "https://openalex.org/fields/11",
"display_name": "Agricultural and Biological Sciences"
},
"domain": {
"id": "https://openalex.org/domains/1",
"display_name": "Life Sciences"
}
},
{
"id": "https://openalex.org/T13890",
"display_name": "Applications of Remote Sensing in Geoscience and Agriculture",
"count": 11,
"subfield": {
"id": "https://openalex.org/subfields/1902",
"display_name": "Atmospheric Science"
},
"field": {
"id": "https://openalex.org/fields/19",
"display_name": "Earth and Planetary Sciences"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10330",
"display_name": "Hydrological Modeling and Water Resource Management",
"count": 11,
"subfield": {
"id": "https://openalex.org/subfields/2312",
"display_name": "Water Science and Technology"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10017",
"display_name": "Climate Change and Paleoclimatology",
"count": 11,
"subfield": {
"id": "https://openalex.org/subfields/1902",
"display_name": "Atmospheric Science"
},
"field": {
"id": "https://openalex.org/fields/19",
"display_name": "Earth and Planetary Sciences"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10004",
"display_name": "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems",
"count": 10,
"subfield": {
"id": "https://openalex.org/subfields/1111",
"display_name": "Soil Science"
},
"field": {
"id": "https://openalex.org/fields/11",
"display_name": "Agricultural and Biological Sciences"
},
"domain": {
"id": "https://openalex.org/domains/1",
"display_name": "Life Sciences"
}
},
{
"id": "https://openalex.org/T10029",
"display_name": "Climate Change and Variability Research",
"count": 10,
"subfield": {
"id": "https://openalex.org/subfields/2306",
"display_name": "Global and Planetary Change"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10005",
"display_name": "Biodiversity Conservation and Ecosystem Management",
"count": 10,
"subfield": {
"id": "https://openalex.org/subfields/2309",
"display_name": "Nature and Landscape Conservation"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T12091",
"display_name": "Carbon Dynamics in Peatland Ecosystems",
"count": 9,
"subfield": {
"id": "https://openalex.org/subfields/2303",
"display_name": "Ecology"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T12614",
"display_name": "Health and Well-being of Arctic Indigenous Peoples",
"count": 9,
"subfield": {
"id": "https://openalex.org/subfields/3600",
"display_name": "General Health Professions"
},
"field": {
"id": "https://openalex.org/fields/36",
"display_name": "Health Professions"
},
"domain": {
"id": "https://openalex.org/domains/4",
"display_name": "Health Sciences"
}
},
{
"id": "https://openalex.org/T10895",
"display_name": "Species Distribution Modeling and Climate Change Impacts",
"count": 9,
"subfield": {
"id": "https://openalex.org/subfields/2302",
"display_name": "Ecological Modeling"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10226",
"display_name": "Global Analysis of Ecosystem Services and Land Use",
"count": 8,
"subfield": {
"id": "https://openalex.org/subfields/2306",
"display_name": "Global and Planetary Change"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10889",
"display_name": "Soil Erosion and Agricultural Sustainability",
"count": 7,
"subfield": {
"id": "https://openalex.org/subfields/1111",
"display_name": "Soil Science"
},
"field": {
"id": "https://openalex.org/fields/11",
"display_name": "Agricultural and Biological Sciences"
},
"domain": {
"id": "https://openalex.org/domains/1",
"display_name": "Life Sciences"
}
},
{
"id": "https://openalex.org/T13193",
"display_name": "Geological Evolution of the Arctic Region",
"count": 7,
"subfield": {
"id": "https://openalex.org/subfields/1907",
"display_name": "Geology"
},
"field": {
"id": "https://openalex.org/fields/19",
"display_name": "Earth and Planetary Sciences"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T12118",
"display_name": "Optimization of Sustainable Biomass Supply Chains",
"count": 6,
"subfield": {
"id": "https://openalex.org/subfields/2211",
"display_name": "Mechanics of Materials"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10439",
"display_name": "Adaptation to Climate Change in Agriculture",
"count": 5,
"subfield": {
"id": "https://openalex.org/subfields/1105",
"display_name": "Ecology, Evolution, Behavior and Systematics"
},
"field": {
"id": "https://openalex.org/fields/11",
"display_name": "Agricultural and Biological Sciences"
},
"domain": {
"id": "https://openalex.org/domains/1",
"display_name": "Life Sciences"
}
},
{
"id": "https://openalex.org/T11760",
"display_name": "Impacts of Elevated CO2 and Ozone on Plant Physiology",
"count": 5,
"subfield": {
"id": "https://openalex.org/subfields/1110",
"display_name": "Plant Science"
},
"field": {
"id": "https://openalex.org/fields/11",
"display_name": "Agricultural and Biological Sciences"
},
"domain": {
"id": "https://openalex.org/domains/1",
"display_name": "Life Sciences"
}
}
],
"topic_share": [
{
"id": "https://openalex.org/T10111",
"display_name": "Remote Sensing in Vegetation Monitoring and Phenology",
"value": 0.0003365,
"subfield": {
"id": "https://openalex.org/subfields/2303",
"display_name": "Ecology"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11333",
"display_name": "Arctic Permafrost Dynamics and Climate Change",
"value": 0.0002787,
"subfield": {
"id": "https://openalex.org/subfields/1902",
"display_name": "Atmospheric Science"
},
"field": {
"id": "https://openalex.org/fields/19",
"display_name": "Earth and Planetary Sciences"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T13388",
"display_name": "Factors Affecting Sagebrush Ecosystems and Wildlife Conservation",
"value": 0.0002511,
"subfield": {
"id": "https://openalex.org/subfields/2303",
"display_name": "Ecology"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10266",
"display_name": "Global Forest Drought Response and Climate Change",
"value": 0.0001893,
"subfield": {
"id": "https://openalex.org/subfields/2306",
"display_name": "Global and Planetary Change"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10555",
"display_name": "Impact of Climate Change on Forest Wildfires",
"value": 0.000161,
"subfield": {
"id": "https://openalex.org/subfields/2306",
"display_name": "Global and Planetary Change"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10770",
"display_name": "Digital Soil Mapping Techniques",
"value": 0.0001397,
"subfield": {
"id": "https://openalex.org/subfields/2305",
"display_name": "Environmental Engineering"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T12003",
"display_name": "Development and Impacts of Bioenergy Crops",
"value": 0.0001349,
"subfield": {
"id": "https://openalex.org/subfields/1102",
"display_name": "Agronomy and Crop Science"
},
"field": {
"id": "https://openalex.org/fields/11",
"display_name": "Agricultural and Biological Sciences"
},
"domain": {
"id": "https://openalex.org/domains/1",
"display_name": "Life Sciences"
}
},
{
"id": "https://openalex.org/T11164",
"display_name": "Mapping Forests with Lidar Remote Sensing",
"value": 0.0001267,
"subfield": {
"id": "https://openalex.org/subfields/2305",
"display_name": "Environmental Engineering"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10644",
"display_name": "Impacts of Climate Change on Glaciers and Water Availability",
"value": 9.8e-05,
"subfield": {
"id": "https://openalex.org/subfields/1902",
"display_name": "Atmospheric Science"
},
"field": {
"id": "https://openalex.org/fields/19",
"display_name": "Earth and Planetary Sciences"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11588",
"display_name": "Global Methane Emissions and Impacts",
"value": 9.69e-05,
"subfield": {
"id": "https://openalex.org/subfields/2306",
"display_name": "Global and Planetary Change"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10439",
"display_name": "Adaptation to Climate Change in Agriculture",
"value": 8.1e-05,
"subfield": {
"id": "https://openalex.org/subfields/1105",
"display_name": "Ecology, Evolution, Behavior and Systematics"
},
"field": {
"id": "https://openalex.org/fields/11",
"display_name": "Agricultural and Biological Sciences"
},
"domain": {
"id": "https://openalex.org/domains/1",
"display_name": "Life Sciences"
}
},
{
"id": "https://openalex.org/T12091",
"display_name": "Carbon Dynamics in Peatland Ecosystems",
"value": 7.4e-05,
"subfield": {
"id": "https://openalex.org/subfields/2303",
"display_name": "Ecology"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T12118",
"display_name": "Optimization of Sustainable Biomass Supply Chains",
"value": 6.86e-05,
"subfield": {
"id": "https://openalex.org/subfields/2211",
"display_name": "Mechanics of Materials"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T12614",
"display_name": "Health and Well-being of Arctic Indigenous Peoples",
"value": 6.35e-05,
"subfield": {
"id": "https://openalex.org/subfields/3600",
"display_name": "General Health Professions"
},
"field": {
"id": "https://openalex.org/fields/36",
"display_name": "Health Professions"
},
"domain": {
"id": "https://openalex.org/domains/4",
"display_name": "Health Sciences"
}
},
{
"id": "https://openalex.org/T11760",
"display_name": "Impacts of Elevated CO2 and Ozone on Plant Physiology",
"value": 6.28e-05,
"subfield": {
"id": "https://openalex.org/subfields/1110",
"display_name": "Plant Science"
},
"field": {
"id": "https://openalex.org/fields/11",
"display_name": "Agricultural and Biological Sciences"
},
"domain": {
"id": "https://openalex.org/domains/1",
"display_name": "Life Sciences"
}
},
{
"id": "https://openalex.org/T11594",
"display_name": "Causes and Impacts of Climate Change Over Millennia",
"value": 5.17e-05,
"subfield": {
"id": "https://openalex.org/subfields/1902",
"display_name": "Atmospheric Science"
},
"field": {
"id": "https://openalex.org/fields/19",
"display_name": "Earth and Planetary Sciences"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10004",
"display_name": "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems",
"value": 4.71e-05,
"subfield": {
"id": "https://openalex.org/subfields/1111",
"display_name": "Soil Science"
},
"field": {
"id": "https://openalex.org/fields/11",
"display_name": "Agricultural and Biological Sciences"
},
"domain": {
"id": "https://openalex.org/domains/1",
"display_name": "Life Sciences"
}
},
{
"id": "https://openalex.org/T12822",
"display_name": "Biogeochemical Cycling of Turf Grasses in the United States",
"value": 4.7e-05,
"subfield": {
"id": "https://openalex.org/subfields/2304",
"display_name": "Environmental Chemistry"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T14215",
"display_name": "Laboratory Information Management Systems in Scientific Research",
"value": 4.04e-05,
"subfield": {
"id": "https://openalex.org/subfields/1710",
"display_name": "Information Systems"
},
"field": {
"id": "https://openalex.org/fields/17",
"display_name": "Computer Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10226",
"display_name": "Global Analysis of Ecosystem Services and Land Use",
"value": 4.04e-05,
"subfield": {
"id": "https://openalex.org/subfields/2306",
"display_name": "Global and Planetary Change"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10398",
"display_name": "Stable Isotope Analysis of Groundwater and Precipitation",
"value": 3.95e-05,
"subfield": {
"id": "https://openalex.org/subfields/1906",
"display_name": "Geochemistry and Petrology"
},
"field": {
"id": "https://openalex.org/fields/19",
"display_name": "Earth and Planetary Sciences"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11312",
"display_name": "Remote Sensing of Soil Moisture",
"value": 3.9e-05,
"subfield": {
"id": "https://openalex.org/subfields/2305",
"display_name": "Environmental Engineering"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T13890",
"display_name": "Applications of Remote Sensing in Geoscience and Agriculture",
"value": 3.84e-05,
"subfield": {
"id": "https://openalex.org/subfields/1902",
"display_name": "Atmospheric Science"
},
"field": {
"id": "https://openalex.org/fields/19",
"display_name": "Earth and Planetary Sciences"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10889",
"display_name": "Soil Erosion and Agricultural Sustainability",
"value": 3.61e-05,
"subfield": {
"id": "https://openalex.org/subfields/1111",
"display_name": "Soil Science"
},
"field": {
"id": "https://openalex.org/fields/11",
"display_name": "Agricultural and Biological Sciences"
},
"domain": {
"id": "https://openalex.org/domains/1",
"display_name": "Life Sciences"
}
},
{
"id": "https://openalex.org/T10029",
"display_name": "Climate Change and Variability Research",
"value": 3.45e-05,
"subfield": {
"id": "https://openalex.org/subfields/2306",
"display_name": "Global and Planetary Change"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
}
],
"x_concepts": [
{
"id": "https://openalex.org/C86803240",
"wikidata": "https://www.wikidata.org/wiki/Q420",
"display_name": "Biology",
"level": 0,
"score": 91.7
},
{
"id": "https://openalex.org/C18903297",
"wikidata": "https://www.wikidata.org/wiki/Q7150",
"display_name": "Ecology",
"level": 1,
"score": 89.3
},
{
"id": "https://openalex.org/C127313418",
"wikidata": "https://www.wikidata.org/wiki/Q1069",
"display_name": "Geology",
"level": 0,
"score": 87.9
},
{
"id": "https://openalex.org/C205649164",
"wikidata": "https://www.wikidata.org/wiki/Q1071",
"display_name": "Geography",
"level": 0,
"score": 86.9
},
{
"id": "https://openalex.org/C39432304",
"wikidata": "https://www.wikidata.org/wiki/Q188847",
"display_name": "Environmental science",
"level": 0,
"score": 85.9
},
{
"id": "https://openalex.org/C127413603",
"wikidata": "https://www.wikidata.org/wiki/Q11023",
"display_name": "Engineering",
"level": 0,
"score": 59.2
},
{
"id": "https://openalex.org/C111368507",
"wikidata": "https://www.wikidata.org/wiki/Q43518",
"display_name": "Oceanography",
"level": 1,
"score": 57.8
},
{
"id": "https://openalex.org/C121332964",
"wikidata": "https://www.wikidata.org/wiki/Q413",
"display_name": "Physics",
"level": 0,
"score": 50.5
},
{
"id": "https://openalex.org/C6557445",
"wikidata": "https://www.wikidata.org/wiki/Q173113",
"display_name": "Agronomy",
"level": 1,
"score": 46.1
},
{
"id": "https://openalex.org/C59822182",
"wikidata": "https://www.wikidata.org/wiki/Q441",
"display_name": "Botany",
"level": 1,
"score": 40.3
},
{
"id": "https://openalex.org/C132651083",
"wikidata": "https://www.wikidata.org/wiki/Q7942",
"display_name": "Climate change",
"level": 2,
"score": 38.8
},
{
"id": "https://openalex.org/C110872660",
"wikidata": "https://www.wikidata.org/wiki/Q37813",
"display_name": "Ecosystem",
"level": 2,
"score": 37.9
},
{
"id": "https://openalex.org/C62649853",
"wikidata": "https://www.wikidata.org/wiki/Q199687",
"display_name": "Remote sensing",
"level": 1,
"score": 36.4
},
{
"id": "https://openalex.org/C100970517",
"wikidata": "https://www.wikidata.org/wiki/Q52107",
"display_name": "Physical geography",
"level": 1,
"score": 33.5
},
{
"id": "https://openalex.org/C95457728",
"wikidata": "https://www.wikidata.org/wiki/Q309",
"display_name": "History",
"level": 0,
"score": 31.1
},
{
"id": "https://openalex.org/C166957645",
"wikidata": "https://www.wikidata.org/wiki/Q23498",
"display_name": "Archaeology",
"level": 1,
"score": 31.1
},
{
"id": "https://openalex.org/C151730666",
"wikidata": "https://www.wikidata.org/wiki/Q7205",
"display_name": "Paleontology",
"level": 1,
"score": 29.1
},
{
"id": "https://openalex.org/C41008148",
"wikidata": "https://www.wikidata.org/wiki/Q21198",
"display_name": "Computer science",
"level": 0,
"score": 28.6
},
{
"id": "https://openalex.org/C71924100",
"wikidata": "https://www.wikidata.org/wiki/Q11190",
"display_name": "Medicine",
"level": 0,
"score": 26.7
},
{
"id": "https://openalex.org/C185592680",
"wikidata": "https://www.wikidata.org/wiki/Q2329",
"display_name": "Chemistry",
"level": 0,
"score": 23.8
},
{
"id": "https://openalex.org/C142724271",
"wikidata": "https://www.wikidata.org/wiki/Q7208",
"display_name": "Pathology",
"level": 1,
"score": 23.3
},
{
"id": "https://openalex.org/C187320778",
"wikidata": "https://www.wikidata.org/wiki/Q1349130",
"display_name": "Geotechnical engineering",
"level": 1,
"score": 22.3
},
{
"id": "https://openalex.org/C2776133958",
"wikidata": "https://www.wikidata.org/wiki/Q7918366",
"display_name": "Vegetation (pathology)",
"level": 2,
"score": 21.8
},
{
"id": "https://openalex.org/C76886044",
"wikidata": "https://www.wikidata.org/wiki/Q2883300",
"display_name": "Hydrology (agriculture)",
"level": 2,
"score": 21.4
},
{
"id": "https://openalex.org/C97137747",
"wikidata": "https://www.wikidata.org/wiki/Q38112",
"display_name": "Forestry",
"level": 1,
"score": 20.4
}
],
"counts_by_year": [
{
"year": 2024,
"works_count": 0,
"cited_by_count": 271
},
{
"year": 2023,
"works_count": 1,
"cited_by_count": 459
},
{
"year": 2022,
"works_count": 1,
"cited_by_count": 537
},
{
"year": 2021,
"works_count": 3,
"cited_by_count": 653
},
{
"year": 2020,
"works_count": 5,
"cited_by_count": 572
},
{
"year": 2019,
"works_count": 7,
"cited_by_count": 585
},
{
"year": 2018,
"works_count": 9,
"cited_by_count": 503
},
{
"year": 2017,
"works_count": 22,
"cited_by_count": 501
},
{
"year": 2016,
"works_count": 12,
"cited_by_count": 485
},
{
"year": 2015,
"works_count": 15,
"cited_by_count": 531
},
{
"year": 2014,
"works_count": 14,
"cited_by_count": 496
},
{
"year": 2013,
"works_count": 15,
"cited_by_count": 552
},
{
"year": 2012,
"works_count": 12,
"cited_by_count": 490
}
],
"works_api_url": "https://api.openalex.org/works?filter=author.id:A5005345378",
"updated_date": "2024-08-20T08:25:11.583369",
"created_date": "2023-07-21",
"_id": "https://openalex.org/A5005345378"
},
"ORCID": {
"@context": "http://schema.org",
"@type": "Person",
"@id": "https://orcid.org/0000-0002-7374-1083",
"mainEntityOfPage": "https://orcid.org/0000-0002-7374-1083",
"name": "Bruce K. Wylie",
"givenName": "Bruce",
"familyName": "Wylie",
"alternateName": "Bruce Wylie, B.K. Wylie, B. K. Wylie, B. Wylie, BK Wylie",
"address": {
"addressCountry": "US",
"@type": "PostalAddress"
},
"alumniOf": [
{
"@type": "Organization",
"name": "New Mexico State University",
"alternateName": "Range",
"identifier": {
"@type": "PropertyValue",
"propertyID": "RINGGOLD",
"value": "4423"
}
},
{
"@type": "Organization",
"name": "University of Montana",
"alternateName": "Range Management",
"identifier": {
"@type": "PropertyValue",
"propertyID": "RINGGOLD",
"value": "307078"
}
}
],
"@reverse": {
"creator": [
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2022gl100285",
"name": "Rapid and Gradual Permafrost Thaw: A Tale of Two Sites",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2022gl100285"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs14010004",
"name": "Monitoring Climate Impacts on Annual Forage Production across U.S. Semi-Arid Grasslands",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs14010004"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2020av000298",
"name": "Rapid Monitoring of the Abundance and Spread of Exotic Annual Grasses in the Western United States Using Remote Sensing and Machine Learning",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2020av000298"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs12040725",
"name": "Characterizing Land Surface Phenology and Exotic Annual Grasses in Dryland Ecosystems Using Landsat and Sentinel-2 Data in Harmony",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs12040725"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs11182106",
"name": "Monitoring Drought Impact on Annual Forage Production in Semi-Arid Grasslands: A Case Study of Nebraska Sandhills",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs11182106"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1111/gcb.14279",
"name": "Spatiotemporal remote sensing of ecosystem change and causation across Alaska",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1111/gcb.14279"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs10050791",
"name": "Spatiotemporal Analysis of Landsat-8 and Sentinel-2 Data to Support Monitoring of Dryland Ecosystems",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs10050791"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.5066/p9ksr9z4",
"name": "Early estimates of herbaceous annual cover in the sagebrush ecosystem (May 1, 2018)",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.5066/p9ksr9z4"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs10030405",
"name": "Modeling Wildfire-Induced Permafrost Deformation in an Alaskan Boreal Forest Using InSAR Observations",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs10030405"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1080/01431161.2017.1384592",
"name": "Estimating carbon and showing impacts of drought using satellite data in regression-tree models",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1080/01431161.2017.1384592"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-85030463260"
}
],
"sameAs": "https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030463260&doi=10.1080%2f01431161.2017.1384592&partnerID=40&md5=0a735834e340378baa23f2c7487dcf6a"
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1111/gcbb.12468",
"name": "Integrating future scenario based crop expansion information and crop conditions to map switchgrass biofuel potential areas in the eastern Nebraska, USA",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1111/gcbb.12468"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.5194/tc-11-2943-2017",
"name": "In situ nuclear magnetic resonance response of permafrost and active layer soil in boreal and tundra ecosystems",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.5194/tc-11-2943-2017"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1080/15481603.2017.1382065",
"name": "Fusing MODIS with Landsat 8 data to downscale weekly normalized difference vegetation index estimates for central Great Basin rangelands, USA [IN PRESS]",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1080/15481603.2017.1382065"
}
},
{
"@type": "CreativeWork",
"name": "Adventures in the Bush: Africa to Alaska",
"identifier": {
"@type": "PropertyValue",
"propertyID": "asin",
"value": "b074m9jn8l"
},
"sameAs": "http://www.amazon.com/dp/b074m9jn8l"
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.5194/tc-2016-256",
"name": "<i>In situ</i> nuclear magnetic resonance response of permafrost and active layer soil in boreal and tundra ecosystems",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.5194/tc-2016-256"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.5194/tc-2016-256-supplement",
"name": "Supplementary material to "<i>In situ</i> nuclear magnetic resonance response of permafrost and active layer soil in boreal and tundra ecosystems"",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.5194/tc-2016-256-supplement"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.5066/f71j98qk",
"name": "A time series of herbaceous annual cover in the sagebrush ecosystem",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.5066/f71j98qk"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.5066/f7sj1htm",
"name": "Alaska moose habitat mapping",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.5066/f7sj1htm"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.5066/f7445jz9",
"name": "Early estimates of herbaceous annual cover in the sagebrush ecosystem (May 1, 2017)",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.5066/f7445jz9"
}
},
{
"@type": "CreativeWork",
"name": "Empirical estimates of ecological light-use efficiency of Great Plains grasslands derived from long-term flux-tower measurements"
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.5066/f7r20zvx",
"name": "Estimating downscaled eMODIS NDVI using Landsat 8 in the central Great Basin shrub steppe",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.5066/f7r20zvx"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1002/eap.1538",
"name": "Historical and projected trends in landscape drivers affecting carbon dynamics in Alaska [invited feature article]",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1002/eap.1538"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.5066/f7cr5s8m",
"name": "Mapping average GPP, RE, and NEP for 2000 to 2013 using satellite data integrated into regression-tree models in the conterminous United States",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.5066/f7cr5s8m"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1111/gcbb.12388",
"name": "Mapping marginal croplands suitable for cellulosic feedstock crops in the Great Plains, United States",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1111/gcbb.12388"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.5066/f7m32tnf",
"name": "Near-real-time herbaceous annual cover in the sagebrush ecosystem (June 19, 2017)",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.5066/f7m32tnf"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.rama.2017.06.007",
"name": "Productivity and CO2 exchange of Great Plains ecoregions. I. Shortgrass steppe\u2014Flux-tower estimates",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.rama.2017.06.007"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.5066/f7805146",
"name": "Switchgrass biofuel potential ensemble map for eastern Nebraska",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.5066/f7805146"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1080/2150704x.2016.1271469",
"name": "Temporal expansion of annual crop classification layers for the CONUS using the C5 decision tree classifier",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1080/2150704x.2016.1271469"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1002/ecy.1883",
"name": "The interacting roles of climate, soils, and plant production on soil microbial communities at a continental scale",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1002/ecy.1883"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs8110943",
"name": "An Optimal Sample Data Usage Strategy to Minimize Overfitting and Underfitting Effects in Regression Tree Models Based on Remotely-Sensed Data",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs8110943"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs8110944",
"name": "Grassland and Cropland Net Ecosystem Production of the U.S. Great Plains: Regression Tree Model Development and Comparative Analysis",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs8110944"
}
},
{
"@type": "CreativeWork",
"name": "Alaska carbon balance, in Baseline and projected future carbon storage and greenhouse-gas fluxes in ecosystems of Alaska"
},
{
"@type": "CreativeWork",
"name": "Executive Summary\u2014Baseline and projected future carbon storage and greenhouse-gas fluxes in ecosystems of Alaska, in Baseline and projected future carbon storage and greenhouse-gas fluxes in ecosystems of Alaska"
},
{
"@type": "CreativeWork",
"name": "Soil carbon and permafrost estimates and susceptibility to climate change in Alaska, in Baseline and projected future carbon storage and greenhouse-gas fluxes in ecosystems of Alaska"
},
{
"@type": "CreativeWork",
"name": "Terrestrial carbon modeling\u2014Baseline and projections in lowland ecosystems of Alaska, in Baseline and projected future carbon storage and greenhouse-gas fluxes in ecosystems of Alaska"
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1002/2015jf003781",
"name": "Evidence for nonuniform permafrost degradation after fire in boreal landscapes",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1002/2015jf003781"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.rama.2016.03.002",
"name": "Cheatgrass percent cover change\u2014Comparing recent estimates to climate-change-driven predictions in the Northern Great Basin",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.rama.2016.03.002"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.rala.2016.08.002",
"name": "Near-real-time cheatgrass percent cover in the Northern Great Basin, USA, 2015",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.rala.2016.08.002"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.ecolind.2015.06.019",
"name": "Using satellite vegetation and compound topographic indices to map highly erodible cropland buffers for cellulosic biofuel crop developments in eastern Nebraska, USA",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.ecolind.2015.06.019"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84936855209"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs71215825",
"name": "Application-Ready Expedited MODIS Data for Operational Land Surface Monitoring of Vegetation Condition",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs71215825"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.rse.2015.10.018",
"name": "Developing a 30-m grassland productivity estimation map for central Nebraska using 250-m MODIS and 30-m Landsat-8 observations",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.rse.2015.10.018"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.rse.2015.07.019",
"name": "Distribution of near-surface permafrost in Alaska: Estimates of present and future conditions",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.rse.2015.07.019"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84938068642"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs70403489",
"name": "Downscaling 250-m MODIS growing season NDVI Based on multiple-date landsat images and data mining approaches",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs70403489"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84937894744"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.rama.2014.12.005",
"name": "Mapping and monitoring cheatgrass dieoff in rangelands of the Northern Great Basin, USA",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84925936039"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.rama.2014.12.005"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1080/01431161.2015.1004764",
"name": "Spatially explicit estimation of aboveground boreal forest biomass in the Yukon River Basin, Alaska",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1080/01431161.2015.1004764"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84923382274"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1080/17538947.2013.860196",
"name": "The integration of geophysical and enhanced Moderate Resolution Imaging Spectroradiometer Normalized Difference Vegetation Index data into a rule-based, piecewise regression-tree model to estimate cheatgrass beginning of spring growth",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1080/17538947.2013.860196"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84921437553"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.14358/pers.80.6.537",
"name": "Annual crop type classification of the US great plains for 2000 to 2011",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84923552740"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.14358/pers.80.6.537"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.2111/rem-d-12-00185.1",
"name": "Detecting the influence of best management practices on vegetation near ephemeral streams with landsat data",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84893358074"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.2111/rem-d-12-00185.1"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.geoderma.2014.04.008",
"name": "Distribution and landscape controls of organic layer thickness and carbon within the Alaskan Yukon River Basin",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.geoderma.2014.04.008"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84899699705"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs6109145",
"name": "Effects of disturbance and climate change on ecosystem performance in the Yukon River basin boreal forest",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs6109145"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84923582917"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.ecolind.2014.09.013",
"name": "Estimating switchgrass productivity in the Great Plains using satellite vegetation index and site environmental variables",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84907517933"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.ecolind.2014.09.013"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.isprsjprs.2014.06.013",
"name": "Geostatistical estimation of signal-to-noise ratios for spectral vegetation indices",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.isprsjprs.2014.06.013"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84904600333"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.agrformet.2013.09.004",
"name": "Net ecosystem productivity of temperate grasslands in northern China: An upscaling study",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84884941202"
},
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000328666400007"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.agrformet.2013.09.004"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.2134/agronj2013.0270",
"name": "Productivity and Carbon Dioxide Exchange of Leguminous Crops: Estimates from Flux Tower Measurements",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84895724959"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.2134/agronj2013.0270"
},
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000336045700024"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1111/gcbb.12059",
"name": "Projecting future grassland productivity to assess the sustainability of potential biofuel feedstock areas in the Greater Platte River Basin",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000327901000004"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1111/gcbb.12059"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84889633250"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1002/2013jg002594",
"name": "Spatial variability and landscape controls of near-surface permafrost within the Alaskan Yukon River Basin",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84904630641"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1002/2013jg002594"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.agee.2012.09.017",
"name": "CO2 uptake and ecophysiological parameters of the grain crops of midcontinent North America: Estimates from flux tower measurements",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000315473000015"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.agee.2012.09.017"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84872033244"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.2111/rem-d-11-00153.1",
"name": "Detecting channel riparian vegetation response to best-management-practices implementation in ephemeral streams with the use of spot high-resolution visible imagery",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.2111/rem-d-11-00153.1"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84872961176"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1002/ppp.1775",
"name": "Extending Airborne Electromagnetic Surveys for Regional Active Layer and Permafrost Mapping with Remote Sensing and Ancillary Data, Yukon Flats Ecoregion, Central Alaska",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000323843700004"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1002/ppp.1775"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84883556431"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.ecolind.2013.06.028",
"name": "Influence of management and precipitation on carbon fluxes in great plains grasslands",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.ecolind.2013.06.028"
},
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000323860700062"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84880862663"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.2111/rem-d-12-00083.1",
"name": "Linking phenology and biomass productivity in south dakota mixed-grass prairie",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84884872755"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.2111/rem-d-12-00083.1"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1080/01431161.2012.742215",
"name": "MODIS-informed greenness responses to daytime land surface temperature fluctuations and wildfire disturbances in the Alaskan Yukon River Basin",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84870564249"
},
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000311557300018"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1080/01431161.2012.742215"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.ecolind.2012.05.024",
"name": "Mapping grassland productivity with 250-m eMODIS NDVI and SSURGO database over the Greater Platte River Basin, USA",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.ecolind.2012.05.024"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84863088470"
},
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000311059900004"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1080/01431161.2013.772311",
"name": "Monitoring the status of forests and rangelands in the Western United States using ecosystem performance anomalies",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1080/01431161.2013.772311"
},
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000315384500019"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84874592311"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.ecolind.2013.01.041",
"name": "NDVI saturation adjustment: A new approach for improving cropland performance estimates in the Greater Platte River Basin, USA",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.ecolind.2013.01.041"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84875188593"
},
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000318191800001"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.2111/rem-d-12-00099.1",
"name": "Optimal placement of off-stream water sources for ephemeral stream recovery",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.2111/rem-d-12-00099.1"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84880802192"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.14358/pers.79.2.175",
"name": "Towards integration of GLAS into a national fuel mapping program",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84873479585"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.14358/pers.79.2.175"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.rse.2012.02.020",
"name": "A multi-sensor lidar, multi-spectral and multi-angular approach for mapping canopy height in boreal forest regions",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.rse.2012.02.020"
},
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000305051700038"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84858729939"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2011gl050079",
"name": "Airborne electromagnetic imaging of discontinuous permafrost",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2011gl050079"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84863395395"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1080/01431161.2012.680617",
"name": "Crop classification modelling using remote sensing and environmental data in the Greater Platte River Basin, USA",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1080/01431161.2012.680617"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84860908231"
},
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000303587600007"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.2111/rem-d-11-00058.1",
"name": "Ecosystem performance monitoring of rangelands by integrating modeling and remote sensing",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84870221626"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.2111/rem-d-11-00058.1"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1080/01431161.2011.643507",
"name": "Establishing water body areal extent trends in interior Alaska from multi-temporal Landsat data",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000308397900006"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1080/01431161.2011.643507"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84857519683"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.jag.2012.03.019",
"name": "Estimating aboveground biomass in interior Alaska with Landsat data and field measurements",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84864514196"
},
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000306198900042"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.jag.2012.03.019"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.biombioe.2012.09.048",
"name": "Evaluation of carbon fluxes and trends (2000-2008) in the Greater Platte River Basin: A sustainability study for potential biofuel feedstock development",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84870673686"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.biombioe.2012.09.048"
},
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000314075900017"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1111/j.1757-1707.2011.01113.x",
"name": "Identifying grasslands suitable for cellulosic feedstock crops in the Greater Platte River Basin: dynamic modeling of ecosystem performance with 250 m eMODIS",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000297735100008"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1111/j.1757-1707.2011.01113.x"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84866500333"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1007/s10980-011-9699-7",
"name": "Mapping carbon flux uncertainty and selecting optimal locations for future flux towers in the Great Plains",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1007/s10980-011-9699-7"
},
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000300087500001"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84856427349"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3133/fs20123126",
"name": "Mapping grasslands suitable for cellulosic biofuels in the Greater Platte River Basin, United States",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3133/fs20123126"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3133/fs20123134",
"name": "Net Ecosystem Production (NEP) of the Great Plains, United States",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3133/fs20123134"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1007/s13157-011-0146-y",
"name": "Classifying the Hydrologic Function of Prairie Potholes with Remote Sensing and GIS",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000289288700012"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-79960010252"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1007/s13157-011-0146-y"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1080/01431161.2010.510811",
"name": "On the terminology of the spectral vegetation index (NIR - SWIR)/(NIR + SWIR)",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000298370800052"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1080/01431161.2010.510811"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-82055173070"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1080/01431161.2010.496471",
"name": "Response of spectral vegetation indices to soil moisture in grasslands and shrublands",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000298368800014"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-80053120165"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1080/01431161.2010.496471"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2010jg001504",
"name": "Upscaling carbon fluxes over the Great Plains grasslands: Sinks and sources",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-79551485352"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2010jg001504"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2011jg001832",
"name": "Upscaling carbon fluxes over the Great Plains grasslands: Sinks and sources (vol 116, G00J03, 2011)",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-80053599715"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2011jg001832"
},
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000295530800002"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.2134/agronj2010.0495",
"name": "Using Normalized Difference Vegetation Index to Estimate Carbon Fluxes from Small Rotationally Grazed Pastures",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000292637800002"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.2134/agronj2010.0495"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-79960680017"
}
]
},
{
"@type": "CreativeWork",
"name": "Multitemporal L- and C-band synthetic aperture radar to highlight differences in water status among boreal forest and wetland systems in the Yukon Flats, interior Alaska"
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.5589/m10-015",
"name": "A comparative analysis of three different MODIS NDVI datasets for Alaska and adjacent Canada",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.5589/m10-015"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-77956135947"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1080/01431161003667455",
"name": "A self-trained classification technique for producing 30 m percent-water maps from Landsat data",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-77951788882"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1080/01431161003667455"
},
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000277389300020"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.2111/08-232.1",
"name": "Climate-Driven Interannual Variability in Net Ecosystem Exchange in the Northern Great Plains Grasslands",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000274112700004"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.2111/08-232.1"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-79551498709"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs2081880",
"name": "Detecting Ecosystem Performance Anomalies for Land Management in the Upper Colorado River Basin Using Satellite Observations, Climate Data, and Ecosystem Models",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000208401800002"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-80051866145"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs2081880"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3133/ofr20101027",
"name": "Multitemporal L- and C-Band synthetic aperture radar to highlight differences in water status among boreal forest and wetland systems in the Yukon Flats, Interior Alaska",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3133/ofr20101027"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.14358/pers.75.11.1307",
"name": "Analysis of dynamic thresholds for the normalized difference water index",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-72449164909"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.14358/pers.75.11.1307"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1080/17538940802038366",
"name": "Integrating modelling and remote sensing to identify ecosystem performance anomalies in the boreal forest, Yukon River Basin, Alaska",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000270088300002"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1080/17538940802038366"
}
]
},
{
"@type": "CreativeWork",
"name": "Interactions among livestock grazing, vegetation type, and fire behavior in the Murphy Wildland Fire Complex in Idaho and Nevada, July 2007"
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3133/fs20083016",
"name": "Modeling and dynamic monitoring of ecosystem performance in the Yukon River Basin",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3133/fs20083016"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.rse.2006.09.017",
"name": "Adaptive data-driven models for estimating carbon fluxes in the Northern Great Plains",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.rse.2006.09.017"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-33846582392"
},
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000244353200001"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.rse.2006.08.012",
"name": "Evaluation and comparison of gross primary production estimates for the Northern Great Plains grasslands",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000243701500004"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.rse.2006.08.012"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-33845901509"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.2111/05-198r1.1",
"name": "Long-term dynamics of production, respiration, and net CO2 exchange in two sagebrush-steppe ecosystems",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-33845522062"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.2111/05-198r1.1"
}
]
},
{
"@type": "CreativeWork",
"name": "Range condition as input to water quality monitoring in the northern plains",
"identifier": {
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-84869029411"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1111/j.1466-822x.2005.00151.x",
"name": "Integration of CO2 flux and remotely-sensed data for primary production and ecosystem respiration analyses in the Northern Great Plains: Potential for quantitative spatial extrapolation",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-19344378874"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1111/j.1466-822x.2005.00151.x"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.14358/pers.70.7.829",
"name": "Development of a 2001 National Land-Cover Database for the United States",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-4143112403"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.14358/pers.70.7.829"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1007/s00267-003-9157-7",
"name": "Gross primary productivity of the true steppe in central Asia in relation to NDVI: Scaling up CO2 fluxes",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000203094700045"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1007/s00267-003-9157-7"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-19344378746"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1007/s00267-003-9156-8",
"name": "Intra-seasonal mapping of CO2 flux in rangelands of northern Kazakhstan at one-kilometer resolution",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000203094700044"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1007/s00267-003-9156-8"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-4344586448"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.5589/m02-098",
"name": "An approach for mapping large-area impervious surfaces: Synergistic use of Landsat-7 ETM+ and high spatial resolution imagery",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-0042961504"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.5589/m02-098"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/s0034-4257(03)00004-x",
"name": "Calibration of remotely sensed, coarse resolution NDVI to CO2 fluxes in a sagebrush-steppe ecosystem",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-0242500247"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/s0034-4257(03)00004-x"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1080/01431160110106113",
"name": "Derivation of a tasselled cap transformation based on Landsat 7 at-satellite reflectance",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:000174957600011"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1080/01431160110106113"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-0037140239"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/s0034-4257(01)00278-4",
"name": "Satellite mapping of surface biophysical parameters at the biome scale over the North American grasslands a case study",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/s0034-4257(01)00278-4"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-0036146872"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1109/igarss.2001.976766",
"name": "A Landsat 7 scene selection strategy for a national land cover database",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1109/igarss.2001.976766"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-0035575112"
}
]
},
{
"@type": "CreativeWork",
"name": "Completion of the 1990s National Land Cover Data set for the conterminous United States from Landsat thematic mapper data and ancillary data sources",
"identifier": {
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-0034983211"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/s0169-8095(01)00122-3",
"name": "Sky type discrimination using a ground-based sun photometer",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-0035652391"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/s0169-8095(01)00122-3"
}
]
},
{
"@type": "CreativeWork",
"name": "Comparison of satellite imagery interpretation using known association/alliance-level data",
"identifier": {
"@type": "PropertyValue",
"propertyID": "uri",
"value": "http://publication/gap8"
},
"sameAs": "http://pubs.er.usgs.gov/publication/gap8"
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/s0034-4257(98)00012-1",
"name": "An analysis of relationships among climate forcing and time-integrated NDVI of grasslands over the U.S. northern and central Great Plains",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-0032108709"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/s0034-4257(98)00012-1"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1890/1051-0761(1997)007[0059:ncacpa]2.0.co;2",
"name": "NDVI, C3 AND C4 production, and distributions in Great Plains grassland land cover classes",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-0030776026"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1890/1051-0761(1997)007[0059:ncacpa]2.0.co;2"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1080/10106049609354547",
"name": "Grassland canopy parameters and their relationships to remotely sensed vegetation indices in the Nebraska Sand Hills",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1080/10106049609354547"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-0007919901"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1109/igarss.1996.516992",
"name": "Subpixel spatiotemporal pattern analysis of remote sensing observations for predicting grassland ecological and biophysical parameters",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1109/igarss.1996.516992"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-0029699006"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/0169-7722(95)00072-0",
"name": "Identification and mitigation of nitrate leaching hot spots using NLEAP-GIS technology",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:a1995tq29900008"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-0029416306"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/0169-7722(95)00072-0"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1111/j.1752-1688.1995.tb04028.x",
"name": "Regional assessment of nleap NO3-N leaching indices",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1111/j.1752-1688.1995.tb04028.x"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.2307/4002804",
"name": "Satellite-based herbaceous biomass estimates in the pastoral zone of Niger",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.2307/4002804"
}
},
{
"@type": "CreativeWork",
"name": "Predicting spatial distributions of nitrate leaching in northeastern Colorado",
"identifier": {
"@type": "PropertyValue",
"propertyID": "uri",
"value": "http://content/49/3/288.short"
},
"sameAs": "http://www.jswconline.org/content/49/3/288.short"
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/0168-1923(94)90084-1",
"name": "Using climate/weather data with the NLEAP model to manage soil nitrogen",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "wosuid",
"value": "wos:a1994nt15800010"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-0028580953"
},
{
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/0168-1923(94)90084-1"
}
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1080/10106049209354355",
"name": "A satellite-based range assessment system for the Sahel of Africa",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1080/10106049209354355"
}
},
{
"@type": "CreativeWork",
"name": "Estimating herbage standing crop from rainfall data in Niger",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "uri",
"value": "http://stable/4002978"
},
{
"@type": "PropertyValue",
"propertyID": "uri",
"value": "http://index.php/jrm/article/view/8728"
}
],
"sameAs": [
"http://www.jstor.org/stable/4002978",
"https://journals.uair.arizona.edu/index.php/jrm/article/view/8728"
]
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1080/01431169108929726",
"name": "Satellite and ground-based pasture production assessment in Niger: 1986-1988",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1080/01431169108929726"
}
},
{
"@type": "CreativeWork",
"name": "AVHRR assessment of pastoral biomass in the Sahel of Niger",
"identifier": {
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-0024855570"
}
},
{
"@type": "CreativeWork",
"name": "Assessing annual changes in the Sahelian vegetation of Niger",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "uri",
"value": "http://AGCPapers/1989/Index.htm"
},
{
"@type": "PropertyValue",
"propertyID": "eid",
"value": "2-s2.0-0024927361"
}
],
"sameAs": "http://applied.geog.kent.edu/AGCPapers/1989/Index.htm"
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1080/10106048809354189",
"name": "Integrated NDVI images for Niger\u20141986-1987",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1080/10106048809354189"
}
}
]
},
"url": [
"https://www.researchgate.net/profile/Bruce_Wylie",
"https://impactstory.org/u/0000-0002-7374-1083"
],
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "Scopus Author ID",
"value": "7005861597"
},
{
"@type": "PropertyValue",
"propertyID": "ResearcherID",
"value": "H-3182-2014"
}
]
}
}