Assessing the Accuracy and Consistency of Six Fine-Resolution Global Land Cover Products Using a Novel Stratified Random Sampling Validation Dataset

Assessing the Accuracy and Consistency of Six Fine-Resolution Global Land Cover Products Using a Novel Stratified Random Sampling Validation Dataset

Over the past decades, benefiting from the development of computing capacity and the free access to Landsat and Sentinel imagery, several fine-resolution global land cover (GLC) products (with a resolution of 10 m or 30 m) have been developed (GlobeLand30, FROM-GLC30, GLC_FCS30, FROM-GLC10, European...

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Bibliographic Details
Main Authors: Tingting Zhao, Xiao Zhang, Yuan Gao, Jun Mi, Wendi Liu, Jinqing Wang, Mihang Jiang, Liangyun Liu
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Remote Sensing
Subjects:
accuracy assessment
consistency analysis
global land cover
stratified random sampling
validation
Online Access:https://www.mdpi.com/2072-4292/15/9/2285

Internet

https://www.mdpi.com/2072-4292/15/9/2285

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