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Inversion of soil salinization in western Jilin Province based on XGBoost and Geographically Weighted Regression
Updated:2026-05-08
Inversion of soil salinization in western Jilin Province based on XGBoost and Geographically Weighted Regression
- “The Jilin Da'an team utilized Sentinel multi-source remote sensing and DEM, and coupled GWR and XGBoost regression models to fully consider the spatial heterogeneity and nonlinear relationship of inversion features, which can effectively improve the accuracy of SSC inversion, providing a new tool for accurate monitoring of soil salinization in arid areas.”
- Journal of China Agricultural University Vol. 29, Issue 2, Pages: 1-10(2024)
DOI: 10.11841/j.issn.1007-4333.2024.02.01
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