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 our understanding of changes in terrestrial vegetation related to climate and other driving forces and 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 for 30 years. Since finishing her graduate program at the University of Nebraska—Lincoln in 1990, she has worked in applied geographic research utilizing remote sensing approaches. 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 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’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 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.
Science and Products
Participated in these Eyes on Earth podcast episodes.
Integrating satellite and climate data for U.S. drought mapping and monitoring: First steps
A prototype drought monitoring system integrating climate and satellite data
Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data
The Global Land-Cover Characteristics Database: The users' perspective
An analysis of IGBP global land-cover characterization process
Integrating multisource land use and land cover data
Validation of national land-cover characteristics data for regional water-quality assessment
Seasonal land-cover regions of the United States
Designing global land cover databases to maximize utility—the US prototype
Measuring phenological variability from satellite imagery
Integration of environmental simulation models with satellite remote sensing and geographic information systems technologies: case studies
The use of NOAA AVHRR data for assessment of the urban heat sland effect
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 satellite and climate data for U.S. drought mapping and monitoring: First steps
A prototype drought monitoring system integrating climate and satellite data
Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data
The Global Land-Cover Characteristics Database: The users' perspective
An analysis of IGBP global land-cover characterization process
Integrating multisource land use and land cover data
Validation of national land-cover characteristics data for regional water-quality assessment
Seasonal land-cover regions of the United States
Designing global land cover databases to maximize utility—the US prototype
Measuring phenological variability from satellite imagery
Integration of environmental simulation models with satellite remote sensing and geographic information systems technologies: case studies
The use of NOAA AVHRR data for assessment of the urban heat sland effect
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.