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Phone:
(301) 614-6597
Fax:
(301) 614-6695
Email:
eric.c.browndecolsto@nasa.gov
URL:
http://ldcm.nasa.gov
http://landsat.gsfc.nasa.gov
http://islscp2.sesda.com/ISLSCP2_1/html_pages/islscp2_home.html
Recent Publications:
Brown de Colstoun, E.C., R. S. DeFries, and J.R.G. Townshend (2006), Evaluation of ISLSCP Initiative II Land Cover Data sets and Assessment of Progress in Land Cover Data for Global Modeling, J. Geophys. Res., 111, D22S07, doi:10.1029/2006JD007453.
Hall, F.G., E. Brown de Colstoun, G. J. Collatz, D. Landis, P. Dirmeyer, A. Betts, G. Huffman, L. Bounoua, and B. Meeson (2006), The ISLSCP Initiative II Global Datasets: Surface Boundary Conditions and Atmospheric Forcings for Land-Atmosphere Studies, J. Geophys. Res., 111, doi:10.1029/2006JD007366.
Brown de Colstoun, E.C., and C.L. Walthall (2006), Improving Global-scale Land Cover Classifications with Multi-directional View-Angle Data and a Decision Tree Classifier, Remote Sens. Environ., 100:474-485.
Research Interests:
* Land cover/use classification and monitoring, with a focus on forest disturbance and urbanization.
* Development of consistent satellite-based long-term data records for global Earth system studies.
* Continuous fields of landscape characteristics (tree and impervious cover).
* Bidirectional reflectance of terrestrial surfaces.
* Modeling the impact of land cover/use change on Earth systems.
* Field validation of remotely sensed data/products.
Biography:
Dr. Eric Brown de Colstoun joined GEST in August 2008 as an Associate Research Scientist, and has been working in the Biospheric Sciences Branch, NASA Goddard Space Flight Center since June 1999. He received his Ph.D. and M.A. in Geography (remote sensing and biogeography emphasis) from the University of Maryland at College Park in 2001 and 1993, respectively, and his B.A. in Mathematics from the Colorado College in 1986.
Dr. Brown de Colstoun's expertise in the field of remote sensing is varied, having used data collected at local to continental and global spatial scales, with a variety of instrumentation (laboratory, field, airborne, satellite), and covering the spectral, temporal, spatial, and bidirectional domains of remote sensing. Currently, he provides scientific support to the Landsat Data Continuity Mission (LDCM), and his research interests include the study of various aspects of land cover, land use, and land cover/use change from the Landsat satellite, as well as the consequences of these changes on the Earth. His approach to the study of land cover/use bridges multiple spatial scales, with an aim at developing data products and techniques that are applicable at all spatial scales yet also complementary between scales (e.g. validation/training). He was a member of the team selected to develop the Visible/Infrared Imager/Radiometer Suite (VIIRS) sensor onboard the future National Polar Orbiting Environmental Satellite System (NPOESS) and NPOESS Preparatory Project (NPP) satellite platforms and is a former member of the NPP Science Team. He led the development of operational global land cover classification algorithms for VIIRS, collaborated in the VIIRS sensor design specifications and software architecture, and also assisted in the design of albedo and vegetation index algorithms for the VIIRS sensor. He recently coordinated the processing and publication of the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II data collection, a collection of high priority, global, interdisciplinary data sets aimed at a broad variety of users, including global numerical modelers and educators. |
