Item talk:Q249860
From geokb
{
"USGS Publications Warehouse": {
"@context": "https://schema.org",
"@type": "Article",
"additionalType": "Journal Article",
"name": "A new approach for predicting drought-related vegetation stress: Integrating satellite, climate, and biophysical data over the U.S. central plains",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "USGS Publications Warehouse IndexID",
"value": "70031582",
"url": "https://pubs.usgs.gov/publication/70031582"
},
{
"@type": "PropertyValue",
"propertyID": "USGS Publications Warehouse Internal ID",
"value": 70031582
},
{
"@type": "PropertyValue",
"propertyID": "DOI",
"value": "10.1016/j.isprsjprs.2005.02.003",
"url": "https://doi.org/10.1016/j.isprsjprs.2005.02.003"
},
{
"@type": "PropertyValue",
"propertyID": "ISSN",
"value": "09242716"
}
],
"journal": {
"@type": "Periodical",
"name": "ISPRS Journal of Photogrammetry and Remote Sensing",
"volumeNumber": "59",
"issueNumber": "4"
},
"inLanguage": "en",
"isPartOf": [
{
"@type": "CreativeWorkSeries",
"name": "ISPRS Journal of Photogrammetry and Remote Sensing"
}
],
"datePublished": "2005",
"dateModified": "2017-04-11",
"abstract": "Droughts are normal climate episodes, yet they are among the most expensive natural disasters in the world. Knowledge about the timing, severity, and pattern of droughts on the landscape can be incorporated into effective planning and decision-making. In this study, we present a data mining approach to modeling vegetation stress due to drought and mapping its spatial extent during the growing season. Rule-based regression tree models were generated that identify relationships between satellite-derived vegetation conditions, climatic drought indices, and biophysical data, including land-cover type, available soil water capacity, percent of irrigated farm land, and ecological type. The data mining method builds numerical rule-based models that find relationships among the input variables. Because the models can be applied iteratively with input data from previous time periods, the method enables to provide predictions of vegetation conditions farther into the growing season based on earlier conditions. Visualizing the model outputs as mapped information (called VegPredict) provides a means to evaluate the model. We present prototype maps for the 2002 drought year for Nebraska and South Dakota and discuss potential uses for these maps.",
"description": "10 p.",
"publisher": {
"@type": "Organization",
"name": "Elsevier"
},
"author": [
{
"@type": "Person",
"name": "Brown, Jesslyn F. jfbrown@usgs.gov",
"givenName": "Jesslyn F.",
"familyName": "Brown",
"email": "jfbrown@usgs.gov",
"identifier": {
"@type": "PropertyValue",
"propertyID": "ORCID",
"value": "0000-0002-9976-1998",
"url": "https://orcid.org/0000-0002-9976-1998"
},
"affiliation": [
{
"@type": "Organization",
"name": "Earth Resources Observation and Science (EROS) Center (Geography)",
"url": "https://www.usgs.gov/centers/eros"
}
]
},
{
"@type": "Person",
"name": "Hayes, M.J.",
"givenName": "M.J.",
"familyName": "Hayes"
},
{
"@type": "Person",
"name": "Tadesse, Tsegaye",
"givenName": "Tsegaye",
"familyName": "Tadesse",
"identifier": {
"@type": "PropertyValue",
"propertyID": "ORCID",
"value": "0000-0002-4102-1137",
"url": "https://orcid.org/0000-0002-4102-1137"
}
}
],
"funder": [
{
"@type": "Organization",
"name": "Earth Resources Observation and Science (EROS) Center",
"url": "https://www.usgs.gov/centers/eros"
}
]
},
"OpenAlex": {
"abstract_inverted_index": {
"Droughts": [
0
],
"are": [
1,
7
],
"normal": [
2
],
"climate": [
3
],
"episodes,": [
4
],
"yet": [
5
],
"they": [
6
],
"among": [
8,
107
],
"the": [
9,
15,
19,
27,
59,
108,
112,
125,
136,
144,
157,
164
],
"most": [
10
],
"expensive": [
11
],
"natural": [
12
],
"disasters": [
13
],
"in": [
14
],
"world.": [
16
],
"Knowledge": [
17
],
"about": [
18
],
"timing,": [
20
],
"severity,": [
21
],
"and": [
22,
35,
53,
78,
93,
170,
173
],
"pattern": [
23
],
"of": [
24,
89,
131
],
"droughts": [
25
],
"on": [
26,
140
],
"landscape": [
28
],
"can": [
29,
114
],
"be": [
30,
115
],
"incorporated": [
31
],
"into": [
32,
135
],
"effective": [
33
],
"planning": [
34
],
"decision-making.": [
36
],
"In": [
37
],
"this": [
38
],
"study,": [
39
],
"we": [
40
],
"present": [
41,
160
],
"a": [
42,
153
],
"data": [
43,
97,
120
],
"mining": [
44,
98
],
"approach": [
45
],
"to": [
46,
51,
128,
155
],
"modeling": [
47
],
"vegetation": [
48,
73,
132
],
"stress": [
49
],
"due": [
50
],
"drought": [
52,
76,
166
],
"mapping": [
54
],
"its": [
55
],
"spatial": [
56
],
"extent": [
57
],
"during": [
58
],
"growing": [
60,
137
],
"season.": [
61
],
"Rule-based": [
62
],
"regression": [
63
],
"tree": [
64
],
"models": [
65,
103,
113
],
"were": [
66
],
"generated": [
67
],
"that": [
68,
104
],
"identify": [
69
],
"relationships": [
70,
106
],
"between": [
71
],
"satellite-derived": [
72
],
"conditions,": [
74
],
"climatic": [
75
],
"indices,": [
77
],
"biophysical": [
79
],
"data,": [
80
],
"including": [
81
],
"land-cover": [
82
],
"type,": [
83
],
"available": [
84
],
"soil": [
85
],
"water": [
86
],
"capacity,": [
87
],
"percent": [
88
],
"irrigated": [
90
],
"farm": [
91
],
"land,": [
92
],
"ecological": [
94
],
"type.": [
95
],
"The": [
96
],
"method": [
99,
126
],
"builds": [
100
],
"numerical": [
101
],
"rule-based": [
102
],
"find": [
105
],
"input": [
109,
119
],
"variables.": [
110
],
"Because": [
111
],
"applied": [
116
],
"iteratively": [
117
],
"with": [
118
],
"from": [
121
],
"previous": [
122
],
"time": [
123
],
"periods,": [
124
],
"enables": [
127
],
"provide": [
129
],
"predictions": [
130
],
"conditions": [
133
],
"farther": [
134
],
"season": [
138
],
"based": [
139
],
"earlier": [
141
],
"conditions.": [
142
],
"Visualizing": [
143
],
"model": [
145
],
"outputs": [
146
],
"as": [
147
],
"mapped": [
148
],
"information": [
149
],
"(called": [
150
],
"VegPredict)": [
151
],
"provides": [
152
],
"means": [
154
],
"evaluate": [
156
],
"model.": [
158
],
"We": [
159
],
"prototype": [
161
],
"maps": [
162
],
"for": [
163,
168,
177
],
"2002": [
165
],
"year": [
167
],
"Nebraska": [
169
],
"South": [
171
],
"Dakota": [
172
],
"discuss": [
174
],
"potential": [
175
],
"uses": [
176
],
"these": [
178
],
"maps.": [
179
]
},
"apc_list": {
"value": 3310,
"currency": "USD",
"value_usd": 3310,
"provenance": "doaj"
},
"apc_paid": null,
"authorships": [
{
"author_position": "first",
"author": {
"id": "https://openalex.org/A5070843904",
"display_name": "Tsegaye Tadesse",
"orcid": "https://orcid.org/0000-0002-4102-1137"
},
"institutions": [
{
"id": "https://openalex.org/I114395901",
"display_name": "University of Nebraska\u2013Lincoln",
"ror": "https://ror.org/043mer456",
"country_code": "US",
"type": "education",
"lineage": [
"https://openalex.org/I114395901"
]
}
],
"countries": [
"US"
],
"is_corresponding": false,
"raw_author_name": "Tsegaye Tadesse",
"raw_affiliation_strings": [
"National Drought Mitigation Center, University of Nebraska-Lincoln, NE 68583-0749, USA"
],
"affiliations": [
{
"raw_affiliation_string": "National Drought Mitigation Center, University of Nebraska-Lincoln, NE 68583-0749, USA",
"institution_ids": [
"https://openalex.org/I114395901"
]
}
]
},
{
"author_position": "middle",
"author": {
"id": "https://openalex.org/A5034241430",
"display_name": "J. F. Brown",
"orcid": "https://orcid.org/0000-0002-9976-1998"
},
"institutions": [
{
"id": "https://openalex.org/I1286329397",
"display_name": "United States Geological Survey",
"ror": "https://ror.org/035a68863",
"country_code": "US",
"type": "government",
"lineage": [
"https://openalex.org/I1286329397",
"https://openalex.org/I1335927249"
]
}
],
"countries": [
"US"
],
"is_corresponding": false,
"raw_author_name": "Jesslyn F. Brown",
"raw_affiliation_strings": [
"SAIC, USGS/EROS Data Center, Sioux Falls, SD 57198, USA;"
],
"affiliations": [
{
"raw_affiliation_string": "SAIC, USGS/EROS Data Center, Sioux Falls, SD 57198, USA;",
"institution_ids": [
"https://openalex.org/I1286329397"
]
}
]
},
{
"author_position": "last",
"author": {
"id": "https://openalex.org/A5034733364",
"display_name": "Michael J. Hayes",
"orcid": "https://orcid.org/0000-0001-5006-166X"
},
"institutions": [
{
"id": "https://openalex.org/I114395901",
"display_name": "University of Nebraska\u2013Lincoln",
"ror": "https://ror.org/043mer456",
"country_code": "US",
"type": "education",
"lineage": [
"https://openalex.org/I114395901"
]
}
],
"countries": [
"US"
],
"is_corresponding": false,
"raw_author_name": "Michael J. Hayes",
"raw_affiliation_strings": [
"National Drought Mitigation Center, University of Nebraska-Lincoln, NE 68583-0749, USA"
],
"affiliations": [
{
"raw_affiliation_string": "National Drought Mitigation Center, University of Nebraska-Lincoln, NE 68583-0749, USA",
"institution_ids": [
"https://openalex.org/I114395901"
]
}
]
}
],
"best_oa_location": {
"is_oa": true,
"landing_page_url": "https://digitalcommons.unl.edu/droughtfacpub/210",
"pdf_url": "https://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1211&context=droughtfacpub",
"source": {
"id": "https://openalex.org/S4377196105",
"display_name": "Digital Commons - University of Nebraska Lincoln (University of Nebraska\u2013Lincoln)",
"issn_l": null,
"issn": null,
"is_oa": false,
"is_in_doaj": false,
"is_core": false,
"host_organization": "https://openalex.org/I114395901",
"host_organization_name": "University of Nebraska\u2013Lincoln",
"host_organization_lineage": [
"https://openalex.org/I114395901"
],
"host_organization_lineage_names": [
"University of Nebraska\u2013Lincoln"
],
"type": "repository"
},
"license": null,
"license_id": null,
"version": "publishedVersion",
"is_accepted": true,
"is_published": true
},
"biblio": {
"volume": "59",
"issue": "4",
"first_page": "244",
"last_page": "253"
},
"cited_by_api_url": "https://api.openalex.org/works?filter=cites:W1968612971",
"cited_by_count": 108,
"cited_by_percentile_year": {
"min": 97,
"max": 98
},
"concepts": [
{
"id": "https://openalex.org/c2776133958",
"wikidata": "https://www.wikidata.org/wiki/Q7918366",
"display_name": "Vegetation (pathology)",
"level": 2,
"score": 0.7354661,
"qid": null
},
{
"id": "https://openalex.org/c2780648208",
"wikidata": "https://www.wikidata.org/wiki/Q3001793",
"display_name": "Land cover",
"level": 3,
"score": 0.62218475,
"qid": null
},
{
"id": "https://openalex.org/c2778102629",
"wikidata": "https://www.wikidata.org/wiki/Q725252",
"display_name": "Satellite imagery",
"level": 2,
"score": 0.49464676,
"qid": null
},
{
"id": "https://openalex.org/c39432304",
"wikidata": "https://www.wikidata.org/wiki/Q188847",
"display_name": "Environmental science",
"level": 0,
"score": 0.48652118,
"qid": "Q166085"
},
{
"id": "https://openalex.org/c19269812",
"wikidata": "https://www.wikidata.org/wiki/Q26540",
"display_name": "Satellite",
"level": 2,
"score": 0.45047554,
"qid": null
},
{
"id": "https://openalex.org/c2992468275",
"wikidata": "https://www.wikidata.org/wiki/Q12142810",
"display_name": "Drought stress",
"level": 2,
"score": 0.44794938,
"qid": null
},
{
"id": "https://openalex.org/c137660486",
"wikidata": "https://www.wikidata.org/wiki/Q732240",
"display_name": "Growing season",
"level": 2,
"score": 0.44696236,
"qid": null
},
{
"id": "https://openalex.org/c49204034",
"wikidata": "https://www.wikidata.org/wiki/Q52139",
"display_name": "Climatology",
"level": 1,
"score": 0.43811554,
"qid": "Q158968"
},
{
"id": "https://openalex.org/c45804977",
"wikidata": "https://www.wikidata.org/wiki/Q7239673",
"display_name": "Predictive modelling",
"level": 2,
"score": 0.4285524,
"qid": null
},
{
"id": "https://openalex.org/c100970517",
"wikidata": "https://www.wikidata.org/wiki/Q52107",
"display_name": "Physical geography",
"level": 1,
"score": 0.4127077,
"qid": "Q226297"
},
{
"id": "https://openalex.org/c83546350",
"wikidata": "https://www.wikidata.org/wiki/Q1139051",
"display_name": "Regression",
"level": 2,
"score": 0.41106653,
"qid": null
},
{
"id": "https://openalex.org/c4792198",
"wikidata": "https://www.wikidata.org/wiki/Q1165944",
"display_name": "Land use",
"level": 2,
"score": 0.38633853,
"qid": null
},
{
"id": "https://openalex.org/c205649164",
"wikidata": "https://www.wikidata.org/wiki/Q1071",
"display_name": "Geography",
"level": 0,
"score": 0.2921474,
"qid": "Q158983"
},
{
"id": "https://openalex.org/c62649853",
"wikidata": "https://www.wikidata.org/wiki/Q199687",
"display_name": "Remote sensing",
"level": 1,
"score": 0.27902701,
"qid": "Q158877"
},
{
"id": "https://openalex.org/c41008148",
"wikidata": "https://www.wikidata.org/wiki/Q21198",
"display_name": "Computer science",
"level": 0,
"score": 0.23196727,
"qid": "Q158969"
},
{
"id": "https://openalex.org/c18903297",
"wikidata": "https://www.wikidata.org/wiki/Q7150",
"display_name": "Ecology",
"level": 1,
"score": 0.20812929,
"qid": "Q158972"
},
{
"id": "https://openalex.org/c105795698",
"wikidata": "https://www.wikidata.org/wiki/Q12483",
"display_name": "Statistics",
"level": 1,
"score": 0.13452834,
"qid": "Q161190"
},
{
"id": "https://openalex.org/c127313418",
"wikidata": "https://www.wikidata.org/wiki/Q1069",
"display_name": "Geology",
"level": 0,
"score": 0.13432935,
"qid": "Q158984"
},
{
"id": "https://openalex.org/c119857082",
"wikidata": "https://www.wikidata.org/wiki/Q2539",
"display_name": "Machine learning",
"level": 1,
"score": 0.12027234,
"qid": "Q169132"
},
{
"id": "https://openalex.org/c33923547",
"wikidata": "https://www.wikidata.org/wiki/Q395",
"display_name": "Mathematics",
"level": 0,
"score": 0.11144215,
"qid": "Q161189"
},
{
"id": "https://openalex.org/c146978453",
"wikidata": "https://www.wikidata.org/wiki/Q3798668",
"display_name": "Aerospace engineering",
"level": 1,
"score": 0.0,
"qid": "Q166129"
},
{
"id": "https://openalex.org/c127413603",
"wikidata": "https://www.wikidata.org/wiki/Q11023",
"display_name": "Engineering",
"level": 0,
"score": 0.0,
"qid": "Q158977"
},
{
"id": "https://openalex.org/c71924100",
"wikidata": "https://www.wikidata.org/wiki/Q11190",
"display_name": "Medicine",
"level": 0,
"score": 0.0,
"qid": "Q166104"
},
{
"id": "https://openalex.org/c6557445",
"wikidata": "https://www.wikidata.org/wiki/Q173113",
"display_name": "Agronomy",
"level": 1,
"score": 0.0,
"qid": "Q166146"
},
{
"id": "https://openalex.org/c142724271",
"wikidata": "https://www.wikidata.org/wiki/Q7208",
"display_name": "Pathology",
"level": 1,
"score": 0.0,
"qid": "Q166260"
},
{
"id": "https://openalex.org/c86803240",
"wikidata": "https://www.wikidata.org/wiki/Q420",
"display_name": "Biology",
"level": 0,
"score": 0.0,
"qid": "Q158998"
}
],
"corresponding_author_ids": [],
"corresponding_institution_ids": [],
"countries_distinct_count": 1,
"counts_by_year": [
{
"year": 2024,
"cited_by_count": 2
},
{
"year": 2023,
"cited_by_count": 7
},
{
"year": 2022,
"cited_by_count": 6
},
{
"year": 2021,
"cited_by_count": 9
},
{
"year": 2020,
"cited_by_count": 7
},
{
"year": 2019,
"cited_by_count": 7
},
{
"year": 2018,
"cited_by_count": 2
},
{
"year": 2017,
"cited_by_count": 7
},
{
"year": 2016,
"cited_by_count": 8
},
{
"year": 2015,
"cited_by_count": 8
},
{
"year": 2014,
"cited_by_count": 3
},
{
"year": 2013,
"cited_by_count": 7
},
{
"year": 2012,
"cited_by_count": 3
}
],
"created_date": "2016-06-24",
"datasets": [],
"display_name": "A new approach for predicting drought-related vegetation stress: Integrating satellite, climate, and biophysical data over the U.S. central plains",
"doi": "https://doi.org/10.1016/j.isprsjprs.2005.02.003",
"fulltext_origin": "ngrams",
"fwci": 3.259,
"grants": [],
"has_fulltext": true,
"id": "https://openalex.org/W1968612971",
"ids": {
"openalex": "https://openalex.org/W1968612971",
"doi": "https://doi.org/10.1016/j.isprsjprs.2005.02.003",
"mag": "1968612971"
},
"indexed_in": [
"crossref"
],
"institutions_distinct_count": 2,
"is_paratext": false,
"is_retracted": false,
"keywords": [
{
"id": "https://openalex.org/keywords/vegetation-monitoring",
"display_name": "Vegetation Monitoring",
"score": 0.553206
},
{
"id": "https://openalex.org/keywords/global-vegetation-models",
"display_name": "Global Vegetation Models",
"score": 0.5461
},
{
"id": "https://openalex.org/keywords/biomass-estimation",
"display_name": "Biomass Estimation",
"score": 0.514427
},
{
"id": "https://openalex.org/keywords/drought",
"display_name": "Drought",
"score": 0.509998
},
{
"id": "https://openalex.org/keywords/ecosystem-resilience",
"display_name": "Ecosystem Resilience",
"score": 0.505273
}
],
"language": "en",
"locations": [
{
"is_oa": false,
"landing_page_url": "https://doi.org/10.1016/j.isprsjprs.2005.02.003",
"pdf_url": null,
"source": {
"id": "https://openalex.org/S173339282",
"display_name": "ISPRS Journal of Photogrammetry and Remote Sensing",
"issn_l": "0924-2716",
"issn": [
"0924-2716",
"1872-8235"
],
"is_oa": false,
"is_in_doaj": false,
"is_core": true,
"host_organization": "https://openalex.org/P4310320990",
"host_organization_name": "Elsevier BV",
"host_organization_lineage": [
"https://openalex.org/P4310320990"
],
"host_organization_lineage_names": [
"Elsevier BV"
],
"type": "journal"
},
"license": null,
"license_id": null,
"version": null,
"is_accepted": false,
"is_published": false
},
{
"is_oa": true,
"landing_page_url": "https://digitalcommons.unl.edu/droughtfacpub/210",
"pdf_url": "https://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1211&context=droughtfacpub",
"source": {
"id": "https://openalex.org/S4377196105",
"display_name": "Digital Commons - University of Nebraska Lincoln (University of Nebraska\u2013Lincoln)",
"issn_l": null,
"issn": null,
"is_oa": false,
"is_in_doaj": false,
"is_core": false,
"host_organization": "https://openalex.org/I114395901",
"host_organization_name": "University of Nebraska\u2013Lincoln",
"host_organization_lineage": [
"https://openalex.org/I114395901"
],
"host_organization_lineage_names": [
"University of Nebraska\u2013Lincoln"
],
"type": "repository"
},
"license": null,
"license_id": null,
"version": "publishedVersion",
"is_accepted": true,
"is_published": true
}
],
"locations_count": 2,
"mesh": [],
"ngrams_url": "https://api.openalex.org/works/W1968612971/ngrams",
"open_access": {
"is_oa": true,
"oa_status": "green",
"oa_url": "https://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1211&context=droughtfacpub",
"any_repository_has_fulltext": true
},
"primary_location": {
"is_oa": false,
"landing_page_url": "https://doi.org/10.1016/j.isprsjprs.2005.02.003",
"pdf_url": null,
"source": {
"id": "https://openalex.org/S173339282",
"display_name": "ISPRS Journal of Photogrammetry and Remote Sensing",
"issn_l": "0924-2716",
"issn": [
"0924-2716",
"1872-8235"
],
"is_oa": false,
"is_in_doaj": false,
"is_core": true,
"host_organization": "https://openalex.org/P4310320990",
"host_organization_name": "Elsevier BV",
"host_organization_lineage": [
"https://openalex.org/P4310320990"
],
"host_organization_lineage_names": [
"Elsevier BV"
],
"type": "journal"
},
"license": null,
"license_id": null,
"version": null,
"is_accepted": false,
"is_published": false
},
"primary_topic": {
"id": "https://openalex.org/T11186",
"display_name": "Global Drought Monitoring and Assessment",
"score": 0.9994,
"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"
}
},
"publication_date": "2005-06-01",
"publication_year": 2005,
"referenced_works": [
"https://openalex.org/W1491450605",
"https://openalex.org/W1568503584",
"https://openalex.org/W1594842724",
"https://openalex.org/W1605275907",
"https://openalex.org/W1968883408",
"https://openalex.org/W1990912157",
"https://openalex.org/W202690968",
"https://openalex.org/W2029572886",
"https://openalex.org/W2042585542",
"https://openalex.org/W2063623478",
"https://openalex.org/W2069620727",
"https://openalex.org/W2074222846",
"https://openalex.org/W2075845155",
"https://openalex.org/W2083350517",
"https://openalex.org/W2099534828",
"https://openalex.org/W2108452937",
"https://openalex.org/W2139754543",
"https://openalex.org/W2157837197",
"https://openalex.org/W2161881124",
"https://openalex.org/W2174742396",
"https://openalex.org/W3198068346",
"https://openalex.org/W4232332393",
"https://openalex.org/W4241417818",
"https://openalex.org/W57014672"
],
"referenced_works_count": 24,
"related_works": [
"https://openalex.org/W4200610786",
"https://openalex.org/W4200120620",
"https://openalex.org/W3194327750",
"https://openalex.org/W2558283333",
"https://openalex.org/W2388122314",
"https://openalex.org/W2387342166",
"https://openalex.org/W2374516811",
"https://openalex.org/W2315339815",
"https://openalex.org/W2255375146",
"https://openalex.org/W1502900663"
],
"sustainable_development_goals": [
{
"id": "https://metadata.un.org/sdg/13",
"score": 0.69,
"display_name": "Climate action"
}
],
"title": "A new approach for predicting drought-related vegetation stress: Integrating satellite, climate, and biophysical data over the U.S. central plains",
"topics": [
{
"id": "https://openalex.org/T11186",
"display_name": "Global Drought Monitoring and Assessment",
"score": 0.9994,
"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/T10111",
"display_name": "Remote Sensing in Vegetation Monitoring and Phenology",
"score": 0.9993,
"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",
"score": 0.9964,
"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"
}
}
],
"type": "article",
"type_crossref": "journal-article",
"updated_date": "2024-07-31T13:59:44.030990",
"versions": [],
"qid": null
}
}
