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Development and validation of a new MODIS snow-cover-extent product over China
[摘要] Based on MOD09GA/MYD09GA surface reflectance data, a new MODIS snow-cover-extent (SCE) product from 2000 to 2020 over China has beenproduced by the Northwest Institute of Eco-Environment and Resources(NIEER), Chinese Academy of Sciences. The NIEER MODIS SCE product containstwo preliminary clear-sky SCE datasets – Terra-MODIS and Aqua-MODIS SCEdatasets and a final daily cloud-gap-filled (CGF) SCE dataset. The first two datasets are generated mainly through optimizing snow-cover discriminating rules over land-cover types, and the latter dataset is produced after a series of gap-fillingprocesses such as aggregating the two preliminary datasets, reducing cloudgaps with adjacent information in space and time, and eliminating all gapswith auxiliary data. The validation against 362 China MeteorologicalAdministration (CMA) stations shows that during snow seasons the overallaccuracy (OA) values of the three datasets are larger than 93 %, all of the omission error (OE) values are constrained within 9 %, and all of the commission error (CE) values are constrained within 10 %. Bias values of 0.98, 1.02, and 1.03 demonstrate on a whole that there is no significant overestimation nor a significant underestimation. Based on the same ground reference data, we found that the new product accuracies are obviously higher than standard MODIS snow products, especially for Aqua-MODIS and CGF SCE. For example, compared with the CE of 23.78 % that the MYD10A1 product shows, the CE of the new Aqua-MODIS SCE dataset is 6.78 %; the OA of the new CGF SCE dataset is up to 93.15 % versus 89.54 % of MOD10A1F product and 84.36 % of MYD10A1F product. Besides, as expected, snow discrimination in forest areas is also improved significantly. An isolated validation at four forest CMA stations demonstrates that the OA has increased by 3–10 percentage points, the OE has dropped by 1–8 percentage points, and the CE has dropped by 4–21 percentage points. Therefore, our product has virtually provided more reliable snow knowledge over China; thereby, it can better serve for hydrological, climatic, environmental, and other related studies there.
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[效力级别]  [学科分类] 妇产科学
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