讲座简介

NASA funded global Web Enabled Landsat Data (GWELD) project seeks to provide global coverage Landsat ARD, specifically monthly and annual Landsat 30 m information for any terrestrial non-Antarctic location for six 3-year epochs spaced every 5 years from 1985 to 2010. The GWELD are generated from every available Landsat 4 and 5 Thematic Mapper (TM) and 7 Enhanced Thematic Mapper plus (ETM+) image held in the U.S. Landsat archive. The reflective wavelength bands are corrected to nadir BRDF-adjusted surface reflectance. Given the considerable global Landsat data volume (~125,000 Landsat images/year) the GWELD products are generated on the NASA Earth Exchange (NEX) high performance super computer with an output volume of 24TB/year. ？

主讲人简介

Hankui Zhang is an Assistant Research Professor in Geospatial Sciences Center of Excellence (GSCE), South Dakota State University. He joined the GSCE as a Postdoctoral Research Associate after getting his PhD from the Chinese University of Hong Kong in 2013. His current research involves many fundamental Landsat satellite data processing such as BRDF correction, composite, and land cover classification. He has published >30 SCI papers. He serves as an Editorial Board member of Remote Sensing and is a Reviewer for >20 journals including Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.