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
Participated in these Eyes on Earth podcast episodes.
Integrating growing season satellite metrics with climate data to map and monitor drought Integrating growing season satellite metrics with climate data to map and monitor drought
Remote sensing phenology Remote sensing phenology
Issues in characterizing phenology from satellite observations Issues in characterizing phenology from satellite observations
A prototype drought monitoring system integrating climate and satellite data A prototype drought monitoring system integrating climate and satellite data
Integrating satellite and climate data for U.S. drought mapping and monitoring: First steps Integrating satellite and climate data for U.S. drought mapping and monitoring: First steps
Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data
An analysis of IGBP global land-cover characterization process An analysis of IGBP global land-cover characterization process
The Global Land-Cover Characteristics Database: The users' perspective The Global Land-Cover Characteristics Database: The users' perspective
Mapping global grassland ecosystems: A comparison of four data sets Mapping global grassland ecosystems: A comparison of four data sets
Integrating multisource land use and land cover data Integrating multisource land use and land cover data
Validation of national land-cover characteristics data for regional water-quality assessment Validation of national land-cover characteristics data for regional water-quality assessment
Seasonal land-cover regions of the United States Seasonal land-cover regions of the United States
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.
Science and Products
Participated in these Eyes on Earth podcast episodes.
Integrating growing season satellite metrics with climate data to map and monitor drought Integrating growing season satellite metrics with climate data to map and monitor drought
Remote sensing phenology Remote sensing phenology
Issues in characterizing phenology from satellite observations Issues in characterizing phenology from satellite observations
A prototype drought monitoring system integrating climate and satellite data A prototype drought monitoring system integrating climate and satellite data
Integrating satellite and climate data for U.S. drought mapping and monitoring: First steps Integrating satellite and climate data for U.S. drought mapping and monitoring: First steps
Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data
An analysis of IGBP global land-cover characterization process An analysis of IGBP global land-cover characterization process
The Global Land-Cover Characteristics Database: The users' perspective The Global Land-Cover Characteristics Database: The users' perspective
Mapping global grassland ecosystems: A comparison of four data sets Mapping global grassland ecosystems: A comparison of four data sets
Integrating multisource land use and land cover data Integrating multisource land use and land cover data
Validation of national land-cover characteristics data for regional water-quality assessment Validation of national land-cover characteristics data for regional water-quality assessment
Seasonal land-cover regions of the United States Seasonal land-cover regions of the United States
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.