The University of Maryland established its ESIP activities with the creation of the Global Land Cover Facility (GLCF). This joint effort of the Institute for Advanced Computer Studies (UMIACS) and the Department of Geography has developed an operational data archiving and distribution system aimed at...
The Global Land Cover Facility that hosted all this data recently went offline. This means that there is currently no official website that supports the datasets and provides information about their particular specifications. The map at 1 km can however be downloaded from external sites. The earlie...
Data Citation: Global Inland Water, {Year, ...}, Global Land Cover Facility, . Paper/Methods Citation: Feng, Min, Joseph O. Sexton, Saurabh Channan, and John R. Townshend. 2015. A Global, High-Resolution (30-M) Inland Water Body Dataset for 2000: First Results ...
. We make our satellite imagery available over the internet through a number of organizations, including the Tropical Rainforest Information Center at Michigan State University (www.bsrsi.msu.edu/trfic/), the University of Marylands Global Land Cover Facility (http://glcf.umiacs.umd.edu), and ...
Global land cover facility Inland surface Water dataset GIW Landsat ETM+ 1999–2002 Inland surface water 30 m Static 2 Feng et al., 2016 Available on Google Earth Engine https://developers.google.com/earth-engine/datasets/catalog/GLCF_GLS_WATER Global Surface Water GSW Landsat TM/ETM+/OLI 198...
The International Geosphere-Biosphere Programme land cover classification (IGBP) utilized in this study consists of 17 land cover classes determined from MODIS spectral data (Friedl et al., 2010) accessed through the University of Maryland's Global Land Cover Facility (GLCF; Channan et al., 2014)...
The University of Maryland established its ESIP activities with the creation of the Global Land Cover Facility (GLCF). This joint effort of the Institute forAdvanced Computer Studies (UMIACS) and the Department of Geography has developed an operational data archiving and distribution system aimed at ...
The Global Land Cover Facility (GLCF) global forest-cover and -change dataset is a multi-temporal depiction of long-term (multi-decadal), global forest dynamics at high (30-m) resolution. Based on per-pixel estimates of percentage tree cover and their associated uncertainty, the dataset ...
Provided for free download at the Global Land Cover Facility (GLCF) website (www.landcover.org), the 30-m resolution GLCF tree cover dataset is the highest-resolution multi-temporal depiction of Earth''s tree cover available to the Earth science community....
The GLASS products are freely available at the Center for Global Change Data Processing and Analysis of Beijing Normal University (http://www.bnu-datacenter.com/), and the University of Maryland Global Land Cover Facility (http://glcf.umd.edu). After briefly introducing the basic characteristics...