A Novel Remote Sensing Framework Integrating Geostatistical Methods and Machine Learning for Spatial Prediction of Diversity Indices in the Desert Steppe

Accurate assessments are vital for the effective conservation of desert steppe ecosystems, which are essential for maintaining biodiversity and ecological balance. Although geostatistical methods are commonly used for spatial modeling, they have limitations in terms of feature extraction and capturi...

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Bibliographic Details

Published in:	Agriculture
Main Authors:	Zhaohui Tang, Chuanzhong Xuan, Tao Zhang, Xinyu Gao, Suhui Liu, Yaobang Song, Fang Guo
Format:	Article
Language:	English
Published:	MDPI AG 2025-09-01
Subjects:	diversity index kriging interpolation machine learning UAV hyperspectral remote sensing desert steppe
Online Access:	https://www.mdpi.com/2077-0472/15/18/1926