Item talk:Q45039

Add topic
Revision as of 14:36, 23 May 2024 by Sky (talk | contribs)

ORCID:

 '@context': http://schema.org
 '@id': https://orcid.org/0000-0002-9976-1998
 '@reverse':
   creator:
   - '@id': https://doi.org/10.1002/ecs2.4496
     '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: doi
       value: 10.1002/ecs2.4496
     name: Using seasonal climate scenarios in the ForageAhead annual forage production
       model for early drought impact assessment
   - '@id': https://doi.org/10.1088/1748-9326/acad15
     '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: doi
       value: 10.1088/1748-9326/acad15
     name: Trends in tree cover change over three decades related to interannual
       climate variability and wildfire in California
   - '@id': https://doi.org/10.3390/land11020298
     '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: doi
       value: 10.3390/land11020298
     name: "Conterminous United States Land-Cover Change (1985\u20132016): New Insights\
       \ from Annual Time Series"
   - '@id': https://doi.org/10.1175/ei-d-21-0018.1
     '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: doi
       value: 10.1175/ei-d-21-0018.1
     name: Temporal greenness trends in stable natural land cover and relationships
       with climatic variability across the conterminous United States
   - '@id': https://doi.org/10.3389/fclim.2021.689945
     '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: doi
       value: 10.3389/fclim.2021.689945
     name: Hotter Drought Escalates Tree Cover Declines in Blue Oak Woodlands of
       California
   - '@id': https://doi.org/10.3390/land10040394
     '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: doi
       value: 10.3390/land10040394
     name: Exploring the Regional Dynamics of U.S. Irrigated Agriculture from 2002
       to 2017
   - '@id': https://doi.org/10.3390/rs13061210
     '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: doi
       value: 10.3390/rs13061210
     name: Exploring VIIRS Continuity with MODIS in an Expedited Capability for Monitoring
       Drought-Related Vegetation Conditions
   - '@id': https://doi.org/10.3390/rs12121919
     '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: doi
       value: 10.3390/rs12121919
     name: Investigating the Effects of Land Use and Land Cover on the Relationship
       between Moisture and Reflectance Using Landsat Time Series
   - '@id': https://doi.org/10.1016/j.rse.2019.111356
     '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: doi
       value: 10.1016/j.rse.2019.111356
     name: 'Lessons learned implementing an operational continuous United States
       national land change monitoring capability: The Land Change Monitoring, Assessment,
       and Projection (LCMAP) approach'
   - '@id': https://doi.org/10.3133/fs20203024
     '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: doi
       value: 10.3133/fs20203024
     name: Land change monitoring, assessment, and projection
   - '@id': https://doi.org/10.1016/j.isprsjprs.2019.07.005
     '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: doi
       value: 10.1016/j.isprsjprs.2019.07.005
     name: "Mapping irrigated cropland extent across the conterminous United States\
       \ at 30\u202Fm resolution using a semi-automatic training approach on Google\
       \ Earth Engine"
   - '@id': https://doi.org/10.3390/rs11030328
     '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: doi
       value: 10.3390/rs11030328
     name: Monitoring Landscape Dynamics in Central U.S. Grasslands with Harmonized
       Landsat-8 and Sentinel-2 Time Series Data
   - '@type': CreativeWork
     name: Priority questions in multidisciplinary drought research
   - '@id': https://doi.org/10.3390/s18030880
     '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: doi
       value: 10.3390/s18030880
     name: "Challenges in Complementing Data from Ground-Based Sensors with Satellite-Derived\
       \ Products to Measure Ecological Changes in Relation to Climate\u2014Lessons\
       \ from Temperate Wetland-Upland Landscapes"
   - '@id': https://doi.org/10.1016/j.jag.2017.06.013
     '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: doi
       value: 10.1016/j.jag.2017.06.013
     name: Effect of NOAA satellite orbital drift on AVHRR-derived phenological metrics
   - '@id': https://doi.org/10.1080/15481603.2017.1286728
     '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: doi
       value: 10.1080/15481603.2017.1286728
     name: 'Building the vegetation drought response index for Canada (VegDRI-Canada)
       to monitor agricultural drought: first results'
   - '@id': https://doi.org/10.1016/j.agrformet.2015.12.065
     '@type': CreativeWork
     identifier:
     - '@type': PropertyValue
       propertyID: doi
       value: 10.1016/j.agrformet.2015.12.065
     - '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-84952925779
     name: Assessing the evolution of soil moisture and vegetation conditions during
       the 2012 United States flash drought
   - '@id': https://doi.org/10.3390/rs71215825
     '@type': CreativeWork
     identifier:
     - '@type': PropertyValue
       propertyID: doi
       value: 10.3390/rs71215825
     - '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-84963628980
     name: Application-ready expedited MODIS data for operational land surface monitoring
       of vegetation condition
   - '@id': https://doi.org/10.1175/jamc-d-14-0048.1
     '@type': CreativeWork
     identifier:
     - '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-84923005478
     - '@type': PropertyValue
       propertyID: doi
       value: 10.1175/jamc-d-14-0048.1
     name: Assessing the vegetation condition impacts of the 2011 drought across
       the U.S. southern great plains using the vegetation drought response index
       (VegDRI)
   - '@id': https://doi.org/10.1016/j.ecolind.2014.05.033
     '@type': CreativeWork
     identifier:
     - '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-84907311634
     - '@type': PropertyValue
       propertyID: doi
       value: 10.1016/j.ecolind.2014.05.033
     name: Phenology and climate relationships in aspen (Populus tremuloides Michx.)
       forest and woodland communities of southwestern Colorado
   - '@id': https://doi.org/10.1016/j.agsy.2014.01.004
     '@type': CreativeWork
     identifier:
     - '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-84899917650
     - '@type': PropertyValue
       propertyID: doi
       value: 10.1016/j.agsy.2014.01.004
     name: Merging remote sensing data and national agricultural statistics to model
       change in irrigated agriculture
   - '@id': https://doi.org/10.3133/fs20143052
     '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: doi
       value: 10.3133/fs20143052
     name: Remote sensing of land surface phenology
   - '@id': https://doi.org/10.1080/17538947.2013.860196
     '@type': CreativeWork
     identifier:
     - '@type': PropertyValue
       propertyID: doi
       value: 10.1080/17538947.2013.860196
     - '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-84888816658
     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
   - '@id': https://doi.org/10.1109/argo-geoinformatics.2013.6621888
     '@type': CreativeWork
     identifier:
     - '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-84888873916
     - '@type': PropertyValue
       propertyID: doi
       value: 10.1109/argo-geoinformatics.2013.6621888
     name: Variability and trends in irrigated and non-irrigated croplands in the
       central U.S.
   - '@id': https://doi.org/10.3133/fs20103114
     '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: doi
       value: 10.3133/fs20103114
     name: Drought Monitoring with VegDRI
   - '@id': https://doi.org/10.3390/rs2102388
     '@type': CreativeWork
     identifier:
     - '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-79958758269
     - '@type': PropertyValue
       propertyID: doi
       value: 10.3390/rs2102388
     name: Mapping irrigated lands at 250-m scale by merging MODIS data and National
       Agricultural Statistics
   - '@id': https://doi.org/10.3390/rs2020526
     '@type': CreativeWork
     identifier:
     - '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-80051776207
     - '@type': PropertyValue
       propertyID: doi
       value: 10.3390/rs2020526
     name: 'Phenological classification of the United States: A geographic framework
       for extending multi-sensor time-series data'
   - '@id': https://doi.org/10.2747/1548-1603.47.1.25
     '@type': CreativeWork
     identifier:
     - '@type': PropertyValue
       propertyID: doi
       value: 10.2747/1548-1603.47.1.25
     - '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-77949899286
     name: 'The vegetation outlook (VegOut): A new method for predicting vegetation
       seasonal greenness'
   - '@id': https://doi.org/10.1111/j.1365-2486.2009.01910.x
     '@type': CreativeWork
     identifier:
     - '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-70149091491
     - '@type': PropertyValue
       propertyID: doi
       value: 10.1111/j.1365-2486.2009.01910.x
     name: Intercomparison, interpretation, and assessment of spring phenology in
       North America estimated from remote sensing for 1982-2006
   - '@id': https://doi.org/10.1029/2008gl035772
     '@type': CreativeWork
     identifier:
     - '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-60149083938
     - '@type': PropertyValue
       propertyID: doi
       value: 10.1029/2008gl035772
     name: Evaluation of MODIS NDVI and NDWI for vegetation drought monitoring using
       Oklahoma Mesonet soil moisture data
   - '@id': https://doi.org/10.2747/1548-1603.45.1.16
     '@type': CreativeWork
     identifier:
     - '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-41449106514
     - '@type': PropertyValue
       propertyID: doi
       value: 10.2747/1548-1603.45.1.16
     name: 'The Vegetation Drought Response Index (VegDRI): A new integrated approach
       for monitoring drought stress in vegetation'
   - '@id': https://doi.org/10.1029/2006gl029127
     '@type': CreativeWork
     identifier:
     - '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-34249910365
     - '@type': PropertyValue
       propertyID: doi
       value: 10.1029/2006gl029127
     name: A five-year analysis of MODIS NDVI and NDWI for grassland drought assessment
       over the central Great Plains of the United States
   - '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-84869029411
     name: Range condition as input to water quality monitoring in the northern plains
   - '@id': https://doi.org/10.1016/j.isprsjprs.2005.02.003
     '@type': CreativeWork
     identifier:
     - '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-20444441158
     - '@type': PropertyValue
       propertyID: doi
       value: 10.1016/j.isprsjprs.2005.02.003
     name: 'A new approach for predicting drought-related vegetation stress: Integrating
       satellite, climate, and biophysical data over the U.S. central plains'
   - '@id': https://doi.org/10.1109/amtrsi.2005.1469863
     '@type': CreativeWork
     identifier:
     - '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-33745248079
     - '@type': PropertyValue
       propertyID: doi
       value: 10.1109/amtrsi.2005.1469863
     name: Trend analysis of time-series phenology derived from satellite data
   - '@id': https://doi.org/10.1007/978-94-007-0632-3_23
     '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: doi
       value: 10.1007/978-94-007-0632-3_23
     name: Remote Sensing Phenology
   - '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-0035574761
     name: Interactive visualization of vegetation dynamics
   - '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-0034655807
     name: Development of a global land cover characteristics database and IGBP DISCover
       from 1 km AVHRR data
   - '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-0032823507
     name: An analysis of the IGBP global land-cover characterization process
   - '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-0032851988
     name: 'The global land-cover characteristics database: The users perspective'
   - '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-0031625943
     name: 'Mapping global grassland ecosystems: A comparison of four data sets'
   - '@id': https://doi.org/10.3133/ofr95652
     '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: doi
       value: 10.3133/ofr95652
     name: Integrating multisource land use and land cover data
   - '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-0029531447
     name: Seasonal land-cover regions of the US
   - '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-0029481912
     name: Validation of national land-cover characteristics data for regional water-quality
       assessment
   - '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-0028583883
     name: 'Designing global land cover databases to maximize utility: the US prototype'
   - '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-0028591653
     name: Measuring phenological variability from satellite imagery
   - '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-0027832945
     name: The use of NOAA AVHRR data for assessment of the urban heat island effect
   - '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-0027788852
     name: The use of a vegetation index for assessment of the urban heat island
       effect
   - '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-0027334820
     name: 'Using multisource data in global land-cover characterization: concepts,
       requirements, and methods'
   - '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-0026359302
     name: Development of a land-cover characteristics database for the conterminous
       US
   - '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-0025531914
     name: Satellite-derived indices for monitoring global phytoclimatology
   - '@id': https://doi.org/10.4324/9780203302217_chapter_4
     '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: doi
       value: 10.4324/9780203302217_chapter_4
     name: Geographic data for environmental modelling and assessment
 '@type': Person
 address:
   '@type': PostalAddress
   addressCountry: US
 affiliation:
   '@id': https://doi.org/10.13039/100000201
   '@type': Organization
   alternateName: U.S. Geological Survey
   name: U.S. Department of the Interior
 familyName: Brown
 givenName: Jesslyn
 identifier:
   '@type': PropertyValue
   propertyID: Scopus Author ID
   value: '7409455753'
 mainEntityOfPage: https://orcid.org/0000-0002-9976-1998
 url:
 - http://phenology.cr.usgs.gov
 - https://www.usgs.gov/land-resources/eros/droughtstress/science/vegdri
 - https://www.usgs.gov/land-resources/eros/droughtstress/science/modis-irrigated-agriculture
 - https://www.usgs.gov/core-science-systems/eros/lcmap

USGS Staff Profile:

 '@context': https://schema.org
 '@type': Person
 affiliation: []
 description:
 - '@type': TextObject
   abstract: Research Geographer with the Earth Resources Observation and Science
     (EROS) Center
   additionalType: short description
 - '@type': TextObject
   abstract: Jesslyn Brown is a research geographer with the U.S. Geological Survey
     (USGS) Earth Resources Observation and Science (EROS) Center in Sioux Falls,
     South Dakota, USA. Jess's main interests involve improving our understanding
     of changes in terrestrial vegetation related to climate and other driving forces
     and advancing the use of remote sensing imagery in applications.
   additionalType: staff profile page introductory statement
 - '@type': TextObject
   abstract: "Jesslyn Brown is a research geographer with the U.S. Geological Survey\
     \ (USGS) Earth Resources Observation and Science (EROS) Center in Sioux Falls,\
     \ South Dakota, USA, where she has worked for 30 years. Since finishing her\
     \ graduate program at the University of Nebraska\u2014Lincoln in 1990, she has\
     \ worked in applied geographic research utilizing remote sensing approaches.\
     \ Jess\u2019s main interests involve improving our understanding of changes\
     \ in terrestrial vegetation related to climate and other driving forces and\
     \ advancing the use of remotely sensed imagery for applications including drought\
     \ early warning, tracking vegetation phenology (i.e., seasonal dynamics), and\
     \ mapping land cover and land use. Jess was a member of the Global Land Cover\
     \ Characteristics team that created the first map of global land cover at a\
     \ 1-km resolution in the 1990s. From 2001 to 2017, she led multiple projects\
     \ mainly focused on developing new monitoring tools to improve agricultural\
     \ drought monitoring capabilities in the U.S. in a strong collaboration with\
     \ the University of Nebraska-Lincoln\u2019s National Drought Mitigation Center.\
     \ During that time, she also led efforts to investigate recent land use change\
     \ specifically focused on irrigated agriculture across the country. In 2017,\
     \ she began a new role leading the Land Change Monitoring Assessment and Projection\
     \ (LCMAP) science team. LCMAP is a relatively new USGS initiative developing\
     \ an end-to-end capability to use the deep Landsat record to continuously track\
     \ and characterize changes in land cover state and condition and translate the\
     \ information into assessments of current and historical processes of cover\
     \ and change."
   additionalType: personal statement
 email: jfbrown@usgs.gov
 hasCredential: []
 hasOccupation:
 - '@type': OrganizationalRole
   affiliatedOrganization:
     '@type': Organization
     name: Earth Resources Observation and Science (EROS) Center
     url: https://www.usgs.gov/centers/eros
   roleName: Research Geographer
   startDate: '2024-05-12T16:00:58.853613'
 identifier:
 - '@type': PropertyValue
   propertyID: GeoKB
   value: https://geokb.wikibase.cloud/entity/Q45039
 - '@type': PropertyValue
   propertyID: ORCID
   value: 0000-0002-9976-1998
 jobTitle: Research Geographer
 knowsAbout:
 - '@type': Thing
   additionalType: self-claimed expertise
   name: remote sensing
 - '@type': Thing
   additionalType: self-claimed expertise
   name: geospatial analysis
 - '@type': Thing
   additionalType: self-claimed expertise
   name: land use and land cover change
 - '@type': Thing
   additionalType: self-claimed expertise
   name: vegetation phenology
 - '@type': Thing
   additionalType: self-claimed expertise
   name: drought monitoring
 - '@type': Thing
   additionalType: self-claimed expertise
   name: irrigated agriculture
 memberOf:
   '@type': OrganizationalRole
   member:
     '@type': Organization
     name: U.S. Geological Survey
   name: staff member
   startDate: '2024-05-12T16:00:58.848318'
 name: Jesslyn Brown
 url: https://www.usgs.gov/staff-profiles/jesslyn-brown
Return to "Q45039" page.