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.
Designing global land cover databases to maximize utility—the US prototype Designing global land cover databases to maximize utility—the US prototype
Measuring phenological variability from satellite imagery Measuring phenological variability from satellite imagery
Integration of environmental simulation models with satellite remote sensing and geographic information systems technologies: case studies 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 The use of NOAA AVHRR data for assessment of the urban heat sland effect
The use of a vegetation index for assessment of the urban heat island effect The use of a vegetation index for assessment of the urban heat island effect
Using multisource data in global land-cover characterization: concepts, requirements, and methods Using multisource data in global land-cover characterization: concepts, requirements, and methods
Development of a land-cover characteristics database for the conterminous U.S. Development of a land-cover characteristics database for the conterminous U.S.
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.
Designing global land cover databases to maximize utility—the US prototype Designing global land cover databases to maximize utility—the US prototype
Measuring phenological variability from satellite imagery Measuring phenological variability from satellite imagery
Integration of environmental simulation models with satellite remote sensing and geographic information systems technologies: case studies 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 The use of NOAA AVHRR data for assessment of the urban heat sland effect
The use of a vegetation index for assessment of the urban heat island effect The use of a vegetation index for assessment of the urban heat island effect
Using multisource data in global land-cover characterization: concepts, requirements, and methods Using multisource data in global land-cover characterization: concepts, requirements, and methods
Development of a land-cover characteristics database for the conterminous U.S. Development of a land-cover characteristics database for the conterminous U.S.
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.