Improved digital mapping of soil texture using the kernel temperature–vegetation dryness index and adaptive boosting

Improved digital mapping of soil texture using the kernel temperature–vegetation dryness index and adaptive boosting

Existing soil texture mapping methods cannot accurately predict soil texture in complex geographical environments. To address this challenge, we propose a method that combines a kernel temperature–vegetation dryness index (kTVDI) with a gradient boosting algorithm to accurately predict the spatial d...

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Bibliographic Details
Main Authors: Xu Zhai, Yuzhong Liu, Yuanyuan Hong, Yunjie Yang, Pengju Wang, Zhicheng Ye, Xiaoyan Liu, Tianlong She, Lihui Wang, Chen Xu, Lili Zhang, Qiang Wang
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Ecological Informatics
Subjects:
Soil texture
Digital soil mapping
Boosting algorithm
Spatial prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S1574954125000925

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http://www.sciencedirect.com/science/article/pii/S1574954125000925

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