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.
Data from NASA official website (https://ladsweb.modaps.eosdis.nasa.gov).
Data involving MOD11A2 include: h26v05, h27v05, data resolution 1KM, 8-day compositing; Weihe River basin boundary.
(1) Utilizing MRT tool, data splicing, projection transformation, etc., the output image element size is 0.00833333333333 degrees, and the projection coordinate system is WGS84.
(2) Using the Weihe River Basin vector boundary, Python batch cropping was used to generate the Weihe River Basin MOD11A2 data product.
Same quality as source data; dataset content includes:
LST_ Day_ 1km: 8-Day daytime 1km grid land surface temperature
QC_ Day: Quality control for daytime LST and emissivity
Day_ view_ time: Average time of daytime land surface temperature observation
Day_ view_ angle: Average view zenith angle of daytime land surface temperature
LST_ Night_ 1km: 8-Day nighttime 1km grid land surface temperature
QC_ Night: Quality control for nighttime LST and emissivity
Night_ view_ time: Average time of nighttime land surface temperature observation
Night_ view_ angle: Average view zenith angle of nighttime land surface temperature
Emis_ 31: Band 31 Emissivity
Emis_ 32: Band 32 Emissivity
Clear_ sky_ days: the days in clear sky conditions and with valid LSTs
Clear_ sky_ nights: the nights in clear sky conditions and with valid LSTs
This work is licensed under
CC BY 4.0 (Creative Commons Attribution 4.0 International License).
CSTR:11738.11.ncdc.WRiver.2021.30
10.12072/ncdc.WRiver.db0027.2021
