The GeoSUR Program (http://geosur.caf.com) sponsors the development of SRTM derivative products for South America. The workshop is geared towards South American specialists from national geographic institutes and other national agencies that produce topographic and base maps. As part of the workshop, these specialists will get an introduction to the SRTM dataset, will learn techniques needs to develop SRTM derivative datasets, and will become familiar with the GeoSUR SRTM geoprocessing service. The workshop is being organized by the GeoSUR Program, in partnership with the U.S. Geological Survey's Center for Earth Resources Observations and Science (EROS) and the Pan-american Institute of Geography and History (PAIGH).
Wm. Matthew Cushing
Senior Technical Specialist
Stinger Ghaffarian Technologies (SGT, Inc.)
Contractor to the U.S. Geological Survey (USGS)
Earth Resources Observation and Science (EROS) Center
47914 252nd Street
Sioux Falls, South Dakota 57198
Telephone: (605) 594-2766
Fax: (605) 594-6529
Eric van Praag
Coordinador Programa GeoSur
Corporación Andina de Fomento (CAF)
Remote Sensing Education and Training
Introduction to SAR and Water Resource Applications
September 9, 10, and 11, 2008 at USGS/EROS
The United States Geological Survey Earth Resources Observation and Science (EROS) Center, in cooperation with the Canada Centre for Remote Sensing, hosted a technical workshop at the EROS Center in Sioux Falls, SD in support of Land Remote Sensing training, Geographic Analysis and Monitoring, Earth Surface Dynamics, and Global Change Program Office research in the Yukon River Basin and the Prairie Pothole Region.
Rapid Land Cover Mapper (RLCM)
An Introduction to the USGS's Rapid Land Cover Mapper Tool
The United States Geological Survey Earth Resources Observation and Science (EROS) Center developed the Rapid Land Cover Mapper (RLCM) tool to facilitate land use and land cover (LULC) classification of an area at a defined scale and resolution for multiple time periods. The RLCM tool is a vector/raster hybrid approach that lends itself to both multiple resolution and time-series mapping of LULC and many other geographic themes.