TY  - Data
T1  - Partial Vegetation Coverage (FVC) Dataset in Gansu Province (2000-2021)
A1  - Zhang yaonan
DO  - 10.12072/ncdc.gseer.db4144.2023
PY  - 2023
DA  - 2023-12-27
PB  - National Cryosphere Desert Data Center
AB  - GLASS Fractional Vegetation Cover (FVC) is a machine learning method that trains a relationship model from preprocessed reflectance to FVC values to produce global land surface vegetation coverage products. The GLASS-FVC product has a global land surface spatial range, a time resolution of 8 days, and is monitored 46 times throughout the year. Among them, the time range of the vegetation coverage remote sensing dataset products produced based on AVHRR data is from 1981 to 2020, using longitude and latitude projection method, with a spatial resolution of 5 km × 5 km; The vegetation coverage remote sensing dataset product based on MODIS data has a time range of 2000-2021, adopts SIN projection method, and a spatial resolution of 0.5 km × 0.5 km. The output format of GLASS-FVC product is HDF-EOS standard format, which includes a vegetation coverage dataset.This dataset collected data from three bands, namely h25v04, h25v05, and h26v05, in Gansu Province from 2000 to 2021.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/10dec527-6c72-4293-a1bb-860834609c9c
ER  -