Assessing the Accuracy and Consistency of Cropland Datasets and Their Influencing Factors on the Tibetan Plateau

Assessing the Accuracy and Consistency of Cropland Datasets and Their Influencing Factors on the Tibetan Plateau

With advancements in cloud computing and machine learning algorithms, an increasing number of cropland datasets have been developed, including the China land-cover dataset (CLCD) and GlobeLand30 (GLC). The unique climatic conditions of the Tibetan Plateau (TP) introduce significant differences and u...

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Bibliographic Details
Main Authors: Fuyao Zhang, Xue Wang, Liangjie Xin, Xiubin Li
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Remote Sensing
Subjects:
Tibetan Plateau
cropland dataset
accuracy assessment
spatial consistency
structural equation model (SEM)
Online Access:https://www.mdpi.com/2072-4292/17/11/1866
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