Based on multi-source remote sensing data, a set of snow area data of the "the Belt and Road" region was generated by using the MARS model combined with the method of land type features for automatic snow recognition. On this basis, calculate the duration of snow accumulation days. The number of days with snow accumulation is defined as the sum of the days with snow accumulation observed in a hydrological year.
| collect time | 2000/01/01 - 2024/12/31 |
|---|---|
| collect place | "The Belt and Road" region |
| data size | 6.0 GiB |
| data format | *.tif |
| Data spatial resolution (/ M) | 500m |
| Data time resolution | year |
| Coordinate system | WGS84 |
MOD09GA is sourced from the website of the United States Geological Survey.
Extract detailed land cover information using FSC images from Landsat-8 as ground truth data, combined with the CGLS-LC100 dataset. A MARS model based on MOD09GA reflectance was constructed by combining land features to achieve efficient snow recognition. The entire process includes data preprocessing, feature optimization, model training, and validation, ultimately forming an efficient automatic recognition algorithm. This algorithm demonstrates speed and high accuracy in snow area recognition, effectively addressing the challenges faced by existing products and providing important technical support for regional environmental monitoring and climate change research. The duration of snow accumulation is calculated according to the standard definition
| # | number | name | type |
| 1 | 2022YFF0711702-05 | Key technologies for preparation and mining of snow cover and lake ice length series datasets | National key R & D plan |
This work is licensed under
CC BY 4.0 (Creative Commons Attribution 4.0 International License).
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|---|---|---|
| 1 | SCD |
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