<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. The leaf area index data is extracted through machine learning. The quality control mainly uses the 2020-2021 leaf area measurement data in Xinjiang for model construction and verification. </p>
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.
The leaf area index used for calculation of this model was collected on average by a 5-point method in the sample plot using a lai2000 measuring instrument. This dataset uses random forests to calculate the inversion of leaf area index. The data resolution is 10m. The training samples of the following forest algorithm include measured data sets from Turpan's Hami City, Aibi Lake Basin, and the northern edge of the Tarim River Basin in southern Xinjiang. The data sampling instruments are LAI2000 and Sunscan.
Quality control mainly uses measured leaf area data from 2020 to 2022 in Xinjiang for model construction and verification. The error of this dataset in crops and grasslands does not exceed 20%.
| # | number | name | type |
| 1 | 2021xjkk1400 | 2021xjkk1400 | National Science and technology support program |
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CSTR:33110.11.XIEG.xjsedata.2022.00000128
10.12389/XIEG.XJSEDATA.2024.00100117