TY  - Data
T1  - Weihe River Basin MODIS_MOD11A2 dataset (2000-2020)
A1  - Zhang Yaonan
DO  - 10.12072/ncdc.WRiver.db0027.2021
PY  - 2021
DA  - 2021-10-13
PB  - National Cryosphere Desert Data Center
AB  - Land surface temperature (LST) is one of the important parameters at the interface between the Earth's surface and the atmosphere. It is not only a direct reflection of the energy interaction between the earth's surface and the atmosphere, but also has a complex feedback effect on the earth's air processes. Therefore, surface temperature is not only a sensitive indicator of climate change and an important prerequisite for mastering the pattern of climate change, but also a direct input parameter for many models, which has a wide range of applications in many fields, such as meteorology, climate, environmental ecology, hydrology and so on. Along with the deepening and refinement of the research in geosciences and related fields, there is an urgent demand for all-weather surface temperature (All-weather LST) from satellite remote sensing in the academic community. This dataset contains the data product MOD11A2.The surface temperature MOD11A2 data of MODIS from 2000 to 2020 is used as the data source, with the data resolution of 1KM, and the product is synthesized for 8 days.Using the MRT tool, we carry out the image processing such as data splicing, projection conversion, etc., and then using the boundary of the Wei-He River Basin, we adopt the Python batch cropping to generate the 2000-2020 Weihe River Basin MOD11A2 data products. The data format is tif. Using this data can provide basic data support for the scientific research on the ecological health of the Weihe River Basin.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/98477b3a-32ae-413f-8f48-d925d6927f2b
ER  -