A dataset of global land cover validation samples in 2015. In order to guarantee the confidence and objective of the validation samples, several existing reference datasets such as GLCNMO2008 training dataset, VIIRS reference dataset, STEP reference dataset, Global cropland reference data and so on, high resolution imagery in the Google earth and time-series NDVI,NDSI values of each related point are integrated to derive the global validation datasets. The dataset is provided in .shp format
Thematic accuracy assessment of land cover/use products requires reliable reference data that enable...
The Degree Confluence Project (DCP) is a volunteer-based validation dataset that comprises useful in...
The Dynamic World Training Data is a dataset of over 5 billion pixels of human-labeled ESA Sentinel-...
A number of land-cover products, both global and regional, have been produced and more are forthcomi...
The Validation Report describes in detail the quality of the satellite-based 100m Land Cover product...
This Validation Report describes in detail the quality of the satellite-based 100m Land Cover produc...
This is a reference data set collected for validation of the monthly land cover maps at a 3m and at ...
A dataset of European Union land cover validation samples in 2015 and 2010 based on the LUCAS micro ...
A global validation database that can be used to assess the accuracy of multiple global and regional...
Annual global land cover maps (GLC) are being provided by several operational monitoring efforts. Ho...
Observation of global-scale land cover is of importance to international initiatives, governments, a...
Growing public awareness about satellite remote sensing can be attributed to the success of global g...
High-resolution land cover maps are one of the technological innovations driving improvements in man...
Global land cover (GLC) maps and assessments of their accuracy provide important information for dif...
The Joint Research Center of the European Commission (JRC), in partnership with 30 institutions, has...
Thematic accuracy assessment of land cover/use products requires reliable reference data that enable...
The Degree Confluence Project (DCP) is a volunteer-based validation dataset that comprises useful in...
The Dynamic World Training Data is a dataset of over 5 billion pixels of human-labeled ESA Sentinel-...
A number of land-cover products, both global and regional, have been produced and more are forthcomi...
The Validation Report describes in detail the quality of the satellite-based 100m Land Cover product...
This Validation Report describes in detail the quality of the satellite-based 100m Land Cover produc...
This is a reference data set collected for validation of the monthly land cover maps at a 3m and at ...
A dataset of European Union land cover validation samples in 2015 and 2010 based on the LUCAS micro ...
A global validation database that can be used to assess the accuracy of multiple global and regional...
Annual global land cover maps (GLC) are being provided by several operational monitoring efforts. Ho...
Observation of global-scale land cover is of importance to international initiatives, governments, a...
Growing public awareness about satellite remote sensing can be attributed to the success of global g...
High-resolution land cover maps are one of the technological innovations driving improvements in man...
Global land cover (GLC) maps and assessments of their accuracy provide important information for dif...
The Joint Research Center of the European Commission (JRC), in partnership with 30 institutions, has...
Thematic accuracy assessment of land cover/use products requires reliable reference data that enable...
The Degree Confluence Project (DCP) is a volunteer-based validation dataset that comprises useful in...
The Dynamic World Training Data is a dataset of over 5 billion pixels of human-labeled ESA Sentinel-...