Jesslyn Brown
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 the understanding of changes in terrestrial vegetation, drought early warning, and transitions in land cover and land use by advancing the use of remote sensing imagery in applications.
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 over 30 years. Her work in applied geographic research has contributed to improving understanding of terrestrial vegetation patterns 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. In the 1990s, 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. From 2001 to 2017, she led multiple projects mainly focused on developing new monitoring tools, including VegDRI and QuickDRI, to improve agricultural drought monitoring capabilities in the U.S. in a strong collaboration with the University of Nebraska-Lincoln’s 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 leading the Land Change Monitoring Assessment and Projection (LCMAP) science team. LCMAP was a USGS initiative to develop 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. In 2023, the LCMAP project was integrated with the National Land Cover Database team. Under Jess’s leadership, this team developed and produced a new annual land cover database for the conterminous U.S. covering 39 years from 1985 to 2023 utilizing the long Landsat record, deep learning methods, and cloud computing.
Science and Products
Mapping irrigated cropland extent across the conterminous United States at 30 m resolution using a semi-automatic training approach on Google Earth Engine
Monitoring landscape dynamics in central U.S. grasslands with harmonized Landsat-8 and Sentinel-2 time series data
Exploring relationships of spring green-up to moisture and temperature across Wyoming, U.S.A
Optimizing a remote sensing production efficiency model for macro-scale GPP and yield estimation in agroecosystems
Multi-year data from satellite- and ground-based sensors show details and scale matter in assessing climate’s effects on wetland surface water, amphibians, and landscape conditions
Drought and land-cover conditions in the Great Plains
Priority questions in multidisciplinary drought research
Challenges in complementing data from ground-based sensors with satellite-derived products to measure ecological changes in relation to climate – lessons from temperate wetland-upland landscapes
Effect of NOAA satellite orbital drift on AVHRR-derived phenological metrics
Building the vegetation drought response index for Canada (VegDRI-Canada) to monitor agricultural drought: first results
Assessing the evolution of soil moisture and vegetation conditions during the 2012 United States flash drought
A satellite-based composite index approach for agricultural drought monitoring: Current work and future directions
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
June 11, 2020 - From Concept to Reality, USGS Land Change, Monitoring, Assessment and Projection Pushes Boundaries in Service of Science
Eyes on Earth Episode 29 – Tracking Landscape Change with LCMAP
LCMAP and NLCD: Complementary Data for Understanding the Geography of the United States
USGS Land Change Monitoring, Assessment, and Projection releases ‘unprecedented’ reference dataset for United States
Eyes on Earth Episode 12 – Plant Health via Satellite (NDVI)
Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Dataset for the United States (MIrAD-US)
MODIS Irrigated Agriculture
LCMAP Change Stories: Hurricanes in the Everglades
LCMAP Change Stories: Alabama Tornadoes
LCMAP Workshop 2018
Drought Monitoring Datasets Available as OGC Web Map Services (WMS)
Monitoring Vegetation Drought Stress
Participated in these Eyes on Earth podcast episodes.
Science and Products
Mapping irrigated cropland extent across the conterminous United States at 30 m resolution using a semi-automatic training approach on Google Earth Engine
Monitoring landscape dynamics in central U.S. grasslands with harmonized Landsat-8 and Sentinel-2 time series data
Exploring relationships of spring green-up to moisture and temperature across Wyoming, U.S.A
Optimizing a remote sensing production efficiency model for macro-scale GPP and yield estimation in agroecosystems
Multi-year data from satellite- and ground-based sensors show details and scale matter in assessing climate’s effects on wetland surface water, amphibians, and landscape conditions
Drought and land-cover conditions in the Great Plains
Priority questions in multidisciplinary drought research
Challenges in complementing data from ground-based sensors with satellite-derived products to measure ecological changes in relation to climate – lessons from temperate wetland-upland landscapes
Effect of NOAA satellite orbital drift on AVHRR-derived phenological metrics
Building the vegetation drought response index for Canada (VegDRI-Canada) to monitor agricultural drought: first results
Assessing the evolution of soil moisture and vegetation conditions during the 2012 United States flash drought
A satellite-based composite index approach for agricultural drought monitoring: Current work and future directions
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
June 11, 2020 - From Concept to Reality, USGS Land Change, Monitoring, Assessment and Projection Pushes Boundaries in Service of Science
Eyes on Earth Episode 29 – Tracking Landscape Change with LCMAP
LCMAP and NLCD: Complementary Data for Understanding the Geography of the United States
USGS Land Change Monitoring, Assessment, and Projection releases ‘unprecedented’ reference dataset for United States
Eyes on Earth Episode 12 – Plant Health via Satellite (NDVI)
Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Dataset for the United States (MIrAD-US)
MODIS Irrigated Agriculture
LCMAP Change Stories: Hurricanes in the Everglades
LCMAP Change Stories: Alabama Tornadoes
LCMAP Workshop 2018
Drought Monitoring Datasets Available as OGC Web Map Services (WMS)
Monitoring Vegetation Drought Stress
Participated in these Eyes on Earth podcast episodes.