Assessing the Accuracy of Multi-Temporal GlobeLand30 Products in China Using a Spatiotemporal Stratified Sampling Method

Assessing the Accuracy of Multi-Temporal GlobeLand30 Products in China Using a Spatiotemporal Stratified Sampling Method

The new type of multi-temporal global land use data with multiple classes is able to provide information on both the different land covers and their temporal changes; furthermore, it is able to contribute to many applications, such as those involving global climate and Earth ecosystem analyses. Howe...

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Bibliographic Details
Main Authors: Yali Gong, Huan Xie, Shicheng Liao, Yao Lu, Yanmin Jin, Chao Wei, Xiaohua Tong
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Remote Sensing
Subjects:
accuracy assessment
spatiotemporal stratified random sampling
area estimation
GlobeLand30
Online Access:https://www.mdpi.com/2072-4292/15/18/4593

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