Journal: Scientific Reports
Article Title: Inversion and validation of soil water-holding capacity in a wild fruit forest, using hyperspectral technology combined with machine learning
doi: 10.1038/s41598-025-08848-9
Figure Lengend Snippet: SWHC distribution map of wild fruit forest in Emin county (Mapping: Created by ArcMap, version10.5 http://www.esri.com/ . Satellite imagery data: Sentinel-2 A from https://dataspace.copernicus.eu/ . Image processing and extraction: Created using SNAP, version 9.0.0 https://step.esa.int/main/download/snap-download/ and MATLAB, version R2022a https://www.mathworks.com/products/matlab.html . Boundaries made with free vector data provided by National Catalogue Service for Geographic Information( https://www.webmap.cn/commres.do?method=dataDownload )).
Article Snippet: Based on the MATLAB (version R2022a) software platform and Sentinel-2 A remote sensing imagery, we applied the constructed SWHC estimation model to perform an inversion analysis of the SWHC in the wild fruit forest.
Techniques: Extraction, Plasmid Preparation