<p>This data uses the 2023 Sentinel 2 optical satellite data as the data source, and divides the entire Xinjiang into different areas and different types of layer layers according to regions and order. Then select the appropriate deep learning model to map each type of element in turn, and finally merge each land type to form the surface cover. The data is in the CGCS2000 coordinate system, Abers projection, with an accuracy of 10 meters, and includes 7 land cover categories including desert, forest, grassland, cultivated land, water body, glacier and others. </p>
This data uses 2023 Sentinel 2 optical satellite Level-1C data as the data source. Sentinel-2 is part of the European Space Agency (ESA)'s Copernicus Programme, which provides Earth observation data, which is mainly used to obtain high-resolution optical remote sensing data and can be used for various applications, such as land monitoring, agriculture, forestry, urban planning, etc. Level-1C data includes geometrically fine corrected orthophoto images collected by the satellite through its sensors, with good accuracy and meeting the needs of use.
This data uses 2023 Sentinel 2 optical satellite Level-1C data as the data source. Sentinel-2 is part of the European Space Agency (ESA)'s Copernicus Programme, which provides Earth observation data, which is mainly used to obtain high-resolution optical remote sensing data and can be used for various applications, such as land monitoring, agriculture, forestry, urban planning, etc. Level-1C data includes geometrically fine corrected orthophoto images collected by the satellite through its sensors, with good accuracy and meeting the needs of use.
The data spatial resolution is high, the classification is rich in spatial details, and the categories are clear and complete. The overall accuracy OA of different elements is above 0.9, among which cultivated land, water bodies and glaciers have the highest overall accuracy, followed by grassland. The data meets the technical requirements.
| # | number | name | type |
| 1 | 2021xjkk1400 | 2021xjkk1400 | National Science and technology support program |
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CSTR:33110.11.XIEG.XJSEDATA.2024.00100167
10.12389/ariddc.01321
