%0 Dataset
%T Vegetation Index, Albedo, and Land Surface Temperature Dataset for Northern China (1981-2020)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/1632780a-f786-4a7f-acbe-19127f577411
%W NCDC
%R 10.12072/ncdc.desertification.db7159.2026
%A None
%K NDVI;MSAVI;LST;ALBEDO;SAVI
%X The dataset is based on the AVHRR-CDR reflectance product dataset, which includes gridded surface reflectance and brightness temperature. 1) Data content: This dataset includes Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI2), Soil Adjusted Vegetation Index (SAVI), Improved Soil Adjusted Vegetation Index (MSAVI), Land Surface Temperature (LST), and Surface Reflectance (ALBEDO) in the Qinghai Tibet Plateau region from 1981 to 2020, with a time resolution of months; 2) Data source and processing method: Based on the 0.05 ° AVHRR-CDR reflectance product dataset, NDVI, EVI2, and MSAVI are calculated using the AVHRR red and near-infrared bands, and the SAVI index is selected with an L value of 0.5. The land surface temperature calculation method is based on the T4 and T5 bands of the dataset using the split window algorithm, while ALBEDO uses the AVHRR CH1 and CH2 band reflectance selection polynomial proposed by Liang Shunlin (2000) to fit the surface reflectance. The data projection selection is based on the ALBERS equal area projection of WGS84, with projection parameters of central meridian 105 °, reference latitude 0 °, first standard latitude 25 °, and second standard latitude 47 °. To maintain the same spatial resolution as other data, the nearest neighbor method is used to resample the data resolution to 500m. 3) Data synthesis: In the production of the dataset, the monthly unit is selected as the synthesis period, and the most commonly used maximum NDVI method is used. During the synthesis process, the data quality indicator is referenced. When the non cloud NDVI value is less than the cloud NDVI value, the non cloud value (mainly water bodies) is restored.