With global climate change, the cryosphere is undergoing significant changes, such as the melting of glacier snow, the reduction of sea ice, and the degradation of permafrost. The daily remote sensing index driven dataset (2000-2023) of the cryosphere in the Asian high-altitude region provides basic data for monitoring and extracting cryosphere elements, meeting the high timeliness requirements of data products for detecting cryosphere speed changes.
This dataset contains three sets of data: snow cover index (NDSI), vegetation index (NDVI), and water body index (NDWI), with a spatial resolution of 0.005 d. Firstly, snow cover, vegetation, and water body indices are extracted based on MODIS surface reflectance data. Secondly, the same day Terra Aqua data fusion, time-domain interpolation algorithm, spatial interpolation algorithm, and Canny edge detection and filling algorithm are used to prepare daily cloud free driving data.
To ensure the accuracy and reliability of the data, this dataset controls the quality of the data product from two aspects: quality control of the data source and independent validation of the algorithm, and has achieved good validation results. The long-term daily cloud free driving dataset provides data reference for monitoring and studying the cryosphere, which is of great significance for understanding the changes in the cryosphere and its response to climate change.
The MODIS daily surface reflectance products MOD09GA and MYD09GA are from the National Aeronautics and Space Administration (NASA) of the United States, respectively DOI: 10.5067/MODIS/MOD09GA.061，DOI: 10.5067/MODIS/MYD09GA.061。 This product provides estimates of surface spectral reflectance in bands 1 to 7 of the Moderate Resolution Imaging Spectroradiometer (MODIS), all calibrated for atmospheric conditions such as gases, aerosols, and Rayleigh scattering.
Firstly, snow cover, vegetation, and water indices are extracted based on MODIS surface reflectance data. Secondly, daily cloud free driving data is prepared through techniques such as same day Terra Aqua data fusion, time-domain interpolation algorithm, spatial interpolation algorithm, and Canny edge detection and filling algorithm.
The data is in TIFF format and can be read, viewed, edited, and statistically analyzed in related software such as ArcGIS, QGIS, ENVI, and MATLAB. The valid range of data is -10000~10000, with 20000 representing invalid values, which can be opened using QGIS/ArcGIS.
The data quality is good.
| # | number | name | type |
| 1 | 2022YFF0711702 | Intelligent fusion of multi-source data in cryosphere environment | National key R & D plan |
This work is licensed under a
CC BY 4.0.
CSTR:11738.11.NCDC.NIEER.DB6520.2024
10.12072/ncdc.nieer.db6520.2024
