|Dataset||ISLSCP II University of Maryland Global Land Cover Classifications, 1992-1993|
|Time period||1992-04-01 to 1993-03-31|
|Count||Earliest Date||Latest Date||Data Usage|
|Citations||4||2004||2016||Publications citing this dataset|
|Downloads||1200||2012-04-03||2017-12-09||26474 total files downloaded|
The objective of the International Satellite Land Surface Climatology Project (ISLSCP II) study that produced this data set, ISLSCP II University of Maryland Global Land Cover Classifications 1992-1993, was to create a land cover map derived from 1 kilometer Advanced Very High Resolution Radiometer (AVHRR) data using all available bands, derived Normalized Difference Vegetation Index (NDVI), and a full year of data (April 1992-March 1993). This thematic map was resampled to 0.25, 0.5 and 1.0 degree grids. During this re-processing, the original University of Maryland (UMD) land cover type and fraction maps were adjusted to match the water/land fraction of the ISLSCP II land/water mask. These maps were generated for use by modelers of global biogeochemical cycles and others in need of an internally consistent, global depiction of land cover. This 1km map was also one of the Moderate resolution Imaging Spectroradiometer (MODIS) at-launch land cover maps. This product describes the geographic distributions of 13 classes of vegetation cover (plus water and unclassified classes) based on a modified International Geosphere-Biosphere Programme (IGBP) legend. The data set also provides the fraction of each of the 15 classes within the coarser resolution cells, at three spatial resolutions of 0.25, 0.5 and 1.0 degrees in latitude and longitude.
See our Data Citations and Acknowledgements policy for more information.
Sign in to download dataset files.
|Data File (Granule)||File Size||Dates|
|umd_landcover_qdeg.zip||2.2MB||1992-04-01 to 1993-03-31|
|umd_landcover_1deg.zip||207.9KB||1992-04-01 to 1993-03-31|
|umd_landcover_hdeg.zip||653.1KB||1992-04-01 to 1993-03-31|
Sign in to download companion files.
Dataset Companion Files
Dataset has 2 companion files.