<p>This data is for further processing using sentinel2 reflectance product data. The original data is the 10-meter monthly Sentinel 2 reflectance mosaic data set in Xinjiang from April to October 2021, and the 10-meter vegetation coverage is extracted through vegetation dichotomy. The quality control inspection mainly uses comparison with the vegetation coverage extracted from the orthophoto image of drone aerial data in 2021 to verify it. The overall accuracy is better in plain areas, and further verification is needed in areas with high vegetation coverage. </p>
| data size | 1.2 TiB |
|---|---|
| data format | grid |
| Coordinate system | CGCS2000 |
| Projection | CGCS2000 |
The main source of Sentinel-2 reflectivity data is downloaded from ESA. The rest of the auxiliary data sources are on-site measurement data and are generated independently.
This dataset uses dichotomy to calculate vegetation coverage. The data resolution is 10m. The vegetation coverage data used for calculation of this model is generated by the on-site drone DOM and then subjected to high-precision supervised classification and extraction of FVC. data quality description
After comparing the vegetation coverage extracted from drone aerial data from Turpan's Hami City, Aibi Lake Basin, and the northern edge of the Tarim River Basin in southern Xinjiang, the total accuracy is 85-90%. This dataset has good accuracy in oases and desert areas. There are null values in some areas of the physical data, mainly because the cloud amount in this area is too large in the month, and Sentinel-2 satellite cannot obtain effective images to accurately retrieve the soil salinity in this area, so there are null values.
| # | number | name | type |
| 1 | 2021xjkk1400 | 2021xjkk1400 | National Science and technology support program |
This work is licensed under a
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Commons Attribution 4.0 International License.
| # | title | file size |
|---|---|---|
| 1 | 2021xjkk1400-67-2023031067 |
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