We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
MODIS Daily Cloud-gap-filled Fractional Snow Cover Dataset of the Asian Water Tower Region (2000-2022).
- Authors
Fangbo Pan; Lingmei Jiang; Gongxue Wang; Jinmei Pan; Jinyu Huang; Cheng Zhang; Huizhen Cui; Jianwei Yang; Zhaojun Zheng; Shengli Wu; Jiancheng Shi
- Abstract
Accurate long-term daily Cloud-gap-filled fractional snow cover products are essential for climate change and snow hydrological studies in the Asia Water Tower (AWT) region, but existing Moderate Resolution Imaging Spectroradiometer (MODIS) snow cover products are not sufficient. In this study, the multiple endmember spectral mixture analysis algorithm based on automatic endmember extraction (MESMA-AGE) and the multistep spatiotemporal interpolation algorithm (MSTI) are used to produce the MODIS daily cloud-gap-filled fractional snow cover product over the AWT region (AWT MODIS FSC). The AWT MODIS FSC product have a spatial resolution of 0.005°, and spans from 2000 to 2022. The 2745 scenes of Landsat-8 images are used for the areal scale accuracy assessment. The fractional snow cover accuracy metrics, including coefficient of determination (R2 ), root mean squared error (RMSE), and mean absolute error (MAE) are 0.80, 0.16 and 0.10, respectively. The binarized identification accuracy metrics, including overall accuracy (OA), producer’s accuracy (PA), and user’s accuracy (UA), are 95.17%, 97.34% and 97.59%, respectively. Snow depth data observed at 175 meteorological stations are used to evaluate accuracy at point scale, yielding the following accuracy metrics: an OA of 93.26%, a PA of 84.41%, a UA of 82.14%, and a cohen’s kappa (CK) value of 0.79. Snow depth observations from meteorological stations are also used to assess the fractional snow cover resulting from different weather conditions, with an OA of 95.36% (88.96%), a PA of 87.75% (82.26%), a UA of 86.86% (78.86%) and a CK of 0.84 (0.72) under the MODIS clear sky observations (spatiotemporal reconstruction based on the MSTI algorithm). The AWT MODIS FSC product can provide quantitative spatial distribution information of snowpack for mountain hydrological models, land surface models, and numerical weather prediction in the Asia Water Tower region.
- Subjects
ASIA; SNOW cover; MODIS (Spectroradiometer); METEOROLOGICAL stations; NUMERICAL weather forecasting; STANDARD deviations; METEOROLOGICAL observations
- Publication
Earth System Science Data Discussions, 2023, p1
- ISSN
1866-3591
- Publication type
Article
- DOI
10.5194/essd-2023-250