%0 Dataset
%T Partial Vegetation Coverage (FVC) Dataset of Gansu Province (2000-2021)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/10dec527-6c72-4293-a1bb-860834609c9c
%W NCDC
%R 10.12072/ncdc.gseer.db4144.2023
%A Zhang Yaonan
%K Land surface characteristic parameter products;GLASS;vegetation coverage (FVC)
%X The GLASS Fractional Vegetation Cover (FVC) product is based on machine learning methods to train a relationship model from preprocessed reflectance to FVC value, which is used to produce global land surface vegetation cover products. The GLASS-FVC product has a spatial range of the global land surface, with a time resolution of 8 days, and is monitored a total of 46 times throughout the year. Among them, the vegetation coverage remote sensing dataset products produced based on AVHRR data have a time range of 1981-2020, using latitude and longitude projection with a spatial resolution of 5 km × 5 km; the vegetation coverage remote sensing dataset products produced based on MODIS data have a time range of 2000-2021, using SIN projection with a spatial resolution of 0.5 km × 0.5 km. The GLASS-FVC product output format is HDF-EOS standard format, including a vegetation coverage dataset.   This dataset collected data from three bands, H25v04, H25v05, and H26v05, in Gansu Province from 2000 to 2021.