TY  - Data
T1  - MODIS in Jinghe River Basin_ Mod11a2 dataset (2000-2021)
A1  - Zhang yaonan
DO  - 10.12072/ncdc.JRiver.db1972.2022
PY  - 2022
DA  - 2022-04-08
PB  - National Cryosphere Desert Data Center
AB  - Land surface temperature (LST) is an important parameter reflecting surface conditions, which is of great significance for research in hydrology, ecology, environment, and biogeochemistry. Surface temperature is a sensitive indicator of climate change and an important prerequisite for mastering the laws of climate change. It is also a direct input parameter for many models and has wide applications in many fields, such as meteorology, climate, environmental ecology, hydrology, etc.This data is sourced from NASA's official website, and the dataset contains the data product MOD11A2. Using MODIS surface temperature MOD11A2 data from 2000 to 2021 as the data source. The data resolution is 1KM, and the product is synthesized in 8 days. The MRT tool is used for image processing such as projection conversion. Utilizing the boundaries of the Jinghe River Basin again, batch cropping using Python was used to generate the 2000-2021 Jinghe River Basin MOD11A2 data product. The data format is tif
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/1cbd58df-45a2-4c3e-af12-a3d4b7d8fa0e
ER  -