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
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
Seasonal land-cover regions of the United States
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.
Participated in these Eyes on Earth podcast episodes.
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A prototype drought monitoring system integrating climate and satellite data
Droughts are natural hazards with varying patterns in space, time, and intensity. Their dynamic character challenges our ability in planning, predicting, monitoring, and providing relief to affected areas. Because of the spatial and temporal variability and multiple impacts of droughts, we need to improve the tools and data available for mapping and monitoring this phenomenon on all scales. A teamAuthorsJesslyn F. Brown, Bradley C. Reed, Michael J. Hayes, Donald A. Wilhite, Kenneth G. HubbardDevelopment of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data
Researchers from the U.S. Geological Survey, University of Nebraska-Lincoln and the European Commission's Joint Research Centre, Ispra, Italy produced a 1 km resolution global land cover characteristics database for use in a wide range of continental-to global-scale environmental studies. This database provides a unique view of the broad patterns of the biogeographical and ecoclimatic diversity ofAuthorsThomas R. Loveland, B. C. Reed, Jesslyn F. Brown, D.O. Ohlen, Z. Zhu, L. Yang, J.W. MerchantThe Global Land-Cover Characteristics Database: The users' perspective
A unique global land-cover characteristics database developed by the U.S. Geological Survey has been available to users since mid-1997. Access to the data is through the internet under the EROS (Earth Resources Observation Systems) Data Center's home page (http://edcwww.cr.usgs.gov/landdaac/glcc/glcc.html). Since the release of the database, the data have been incorporated into various environmentAuthorsJesslyn F. Brown, Thomas R. Loveland, Donald O. Ohlen, Zhi-Liang ZhuAn analysis of IGBP global land-cover characterization process
The international Geosphere Biosphere Programme (IGBP) has called for the development of improved global land-cover data for use in increasingly sophisticated global environmental models. To meet this need, the staff of the U.S. Geological Survey and the University of Nebraska-Lincoln developed and applied a global land-cover characterization methodology using 1992-1993 1-km resolution Advanced VeAuthorsThomas R. Loveland, Zhiliang Zhu, Donald O. Ohlen, Jesslyn F. Brown, Bradley C. Reed, Limin YangIntegrating multisource land use and land cover data
As part of the U.S. Geological Survey's (USGS) land use and land cover (LULC) program, the USGS in cooperation with the Environmental Systems Research Institute (ESRI) is collecting and integrating LULC data for a standard USGS 1:100,000-scale product. The LULC data collection techniques include interpreting spectrally clustered Landsat Thematic Mapper (TM) images; interpreting 1-meter resolutionAuthorsBruce E. Wright, Mike Tait, K.F. Lins, J.S. Crawford, S.P. Benjamin, Jesslyn F. BrownSeasonal land-cover regions of the United States
Global-change investigations have been hindered by deficiencies in the availability and quality of land-cover data. The U.S. Geological Survey and the University of Nebraska-Lincoln have collaborated on the development of a new approach to land-cover characterization that attempts to address requirements of the global-change research community and others interested in regional patterns of land covAuthorsThomas R. Loveland, James W. Merchant, Jesslyn F. Brown, Donald O. Ohlen, Bradley C. Reed, Paul Olson, John HutchinsonValidation of national land-cover characteristics data for regional water-quality assessment
Land-cover information is used routinely to support the interpretation of water-quality data. The Prototype 1990 Conterminous US Land Cover Characteristics Data Set, developed primarily from Advanced Very High Resolution Radiometer (AVHRR) data, was made available to the US Geological Survey's National Water-Quality Assessment (NAWQA) Program. The study described in this paper explored the utilityAuthorsRonald B. Zelt, Jesslyn F. Brown, M.S. KelleySeasonal land-cover regions of the United States
Global-change investigations have been hindered by deficiencies in the availability and quality of land-cover data. The U.S. Geological Survey and the University of Nebraska-Lincoln have collaborated on the development of a new approach to land-cover characterization that attempts to address requirements of the global-change research community and others interested in regional patterns of land covDesigning global land cover databases to maximize utility—the US prototype
No abstract available.AuthorsB. C. Reed, Thomas R. Loveland, L. T. Steyaert, Jesslyn F. Brown, J.W. Merchant, D.O. OhlenMeasuring phenological variability from satellite imagery
Vegetation phenological phenomena are closely related to seasonal dynamics of the lower atmosphere and are therefore important elements in global models and vegetation monitoring. Normalized difference vegetation index (NDVI) data derived from the National Oceanic and Atmospheric Administration's Advanced Very High Resolution Radiometer (AVHRR) satellite sensor offer a means of efficiently and obAuthorsBradley C. Reed, Jesslyn F. Brown, D. Vanderzee, Thomas R. Loveland, James W. Merchant, Donald O. OhlenIntegration of environmental simulation models with satellite remote sensing and geographic information systems technologies: case studies
Environmental modelers are testing and evaluating a prototype land cover characteristics database for the conterminous United States developed by the EROS Data Center of the U.S. Geological Survey and the University of Nebraska Center for Advanced Land Management Information Technologies. This database was developed from multi temporal, 1-kilometer advanced very high resolution radiometer (AVHRR)AuthorsLouis T. Steyaert, Thomas R. Loveland, Jesslyn F. Brown, Bradley C. ReedThe use of NOAA AVHRR data for assessment of the urban heat sland effect
A vegetation index and a radiative surface temperature were derived from satellite data acquired at approximately 1330 LST for each of 37 cities and for their respective nearby rural regions from 28 June through 8 August 1991. Urbanrural differences for the vegetation index and the surface temperatures were computed and then compared to observed urbanrural differences in minimum air temperaturesAuthorsK. P. Gallo, A. L. McNab, Thomas R. Karl, Jesslyn F. Brown, J. J. Hood, J.D. TarpleyNon-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.
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