TY  - Data
T1  - MODIS Daily Cloud-gap-filled Fractional Snow Cover Dataset of the Asian Water Tower Region (2000-2022)
A1  - Jiang Lingmei
DO  - 10.5281/zenodo.10005827
PY  - 2024
DA  - 2024-07-26
PB  - National Cryosphere Desert Data Center
AB  - The dataset was used to study the MODIS daily gap filling fraction snow products in the AWT region (AWT MODIS FSC) using the Multi Element Spectral Hybrid Analysis algorithm based on automatic endmember extraction (MESMA-AGE) and the Multi Step Spatiotemporal Interpolation algorithm (MSTI). The spatial resolution of AWT MODIS FSC products is 0.005 °, spanning from 2000 to 2022. 2745 scenes from Landsat-8 imagery were used for regional scale accuracy assessment. The accuracy indicators for fractional snow cover, including coefficient of determination (R2), root mean square error (RMSE), and mean absolute error (MAE), are 0.80, 0.16, and 0.10, respectively. The binary recognition accuracy indicators, including overall accuracy (OA), producer accuracy (PA), and user accuracy (UA), are 95.17%, 97.34%, and 97.59%, respectively. The snow depth data observed at 175 meteorological stations were used to evaluate the accuracy of point scale, and the following accuracy indicators were obtained: OA was 93.26%, PA was 84.41%, UA was 82.14%, and Cohen kappa (CK) value was 0.79. The snow depth observation of meteorological stations is also used to evaluate the snow fraction under different weather conditions. The OA of MODIS clear sky observation (spatiotemporal reconstruction based on MSTI algorithm) is 95.36% (88.96%), PA is 87.75% (82.26%), UA is 86.86% (78.86%), and CK is 0.84 (0.72). The AWT MODIS FSC product can provide quantitative spatial distribution information of snow cover for mountain hydrological models, surface models, and numerical weather forecasts in the Asian water tower region.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/10328ce3-3d5f-403c-b4b5-821d9cb6a5e8
ER  -