The GLCC from USGS is a landuse and land cover classification dataset based primarily on the unsupervised classification of the 1-km AVHRR (Advanced Very High-Resolution Radiometer) 10-day NDVI (Normalized Difference Vegetation Index) composites. The AVHRR source imagery dates from April 1992 through March 1993. The GLCC map contains 24 land cover types. Correspondence is made between the GLCC units and SWAT crop database based on the description of the land covers provided by the maps and the SWAT landuse definitions. The databases for the above two global landuse maps are supported by the table crop in the SWAT2012.mdb database and the lookup tables “Lookup_Landuse_Globcover.txt” and Lookup_Landuse_USGS.txt. The SWAT2012.mdb and look up ...
FROM-GLC-Hierarchy (Yu et al., 2014) is land cover dataset with multi-resolution (i.e. 30 m, 250 m, ...
The Joint Research Center of the European Commission (JRC), in partnership with 30 institutions, has...
Global land cover (GLC) maps and assessments of their accuracy provide important information for dif...
The GlobCover is a European Space Agency initiative to develop global composites and land cover maps...
The Globcover initiative comprises the development and demonstration of a service that in first inst...
GLC_FCS30D is the first global fine land cover dynamic product at a 30-meter resolution that adopts ...
The GlobCover initiative of ESA developed and demonstrated a service for the generation of global la...
A novel global 30-m land-cover product with a fine classification system for the year 2015 (GLC_FCS...
The objective of this Globcover report is to describe the Globcover products and their respective va...
Raster map with land use/land cover classification for the Tona watershed to be used as an input for...
In view of the increasing concern over the functioning of the earth system, land-cover observation a...
The observation of global-scale land cover (LC) is of importance to international initiatives such a...
The new GLC_FCS30-2020 products were produced based on Global 30-m land-cover product with fine clas...
The Global Ground Cover Change (GGCC) dataset is a reference-based raster collection of bi-annual la...
<p>FROM-GLC and modified-LULC maps using the extent of the study area and including a zoomed image a...
FROM-GLC-Hierarchy (Yu et al., 2014) is land cover dataset with multi-resolution (i.e. 30 m, 250 m, ...
The Joint Research Center of the European Commission (JRC), in partnership with 30 institutions, has...
Global land cover (GLC) maps and assessments of their accuracy provide important information for dif...
The GlobCover is a European Space Agency initiative to develop global composites and land cover maps...
The Globcover initiative comprises the development and demonstration of a service that in first inst...
GLC_FCS30D is the first global fine land cover dynamic product at a 30-meter resolution that adopts ...
The GlobCover initiative of ESA developed and demonstrated a service for the generation of global la...
A novel global 30-m land-cover product with a fine classification system for the year 2015 (GLC_FCS...
The objective of this Globcover report is to describe the Globcover products and their respective va...
Raster map with land use/land cover classification for the Tona watershed to be used as an input for...
In view of the increasing concern over the functioning of the earth system, land-cover observation a...
The observation of global-scale land cover (LC) is of importance to international initiatives such a...
The new GLC_FCS30-2020 products were produced based on Global 30-m land-cover product with fine clas...
The Global Ground Cover Change (GGCC) dataset is a reference-based raster collection of bi-annual la...
<p>FROM-GLC and modified-LULC maps using the extent of the study area and including a zoomed image a...
FROM-GLC-Hierarchy (Yu et al., 2014) is land cover dataset with multi-resolution (i.e. 30 m, 250 m, ...
The Joint Research Center of the European Commission (JRC), in partnership with 30 institutions, has...
Global land cover (GLC) maps and assessments of their accuracy provide important information for dif...