Inversion and validation of soil water-holding capacity in a wild fruit forest, using hyperspectral technology combined with machine learning

Inversion and validation of soil water-holding capacity in a wild fruit forest, using hyperspectral technology combined with machine learning

Abstract Soil water retention is a critical aspect of water conservation. To quantitatively assess the Soil Water-Holding Capacity (SWHC), this study focused on a typical wild fruit forest in Xinjiang, China. The spectral characteristics of the forest canopy were employed as a bridge to enhance the...

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Bibliographic Details
Main Authors: Tingwei Song, Liang Guo, Qian Sun, Guizhen Gao, Jing Chen, Qikun Zhang
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Wild fruit forest
Hyperspectral
Machine learning
Soil water-holding capacity
Estimation model
Online Access:https://doi.org/10.1038/s41598-025-08848-9
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https://doi.org/10.1038/s41598-025-08848-9

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