Spatial Stratification Method for the Sampling Design of LULC Classification Accuracy Assessment: A Case Study in Beijing, China

Spatial Stratification Method for the Sampling Design of LULC Classification Accuracy Assessment: A Case Study in Beijing, China

Spatial sampling design is important for accurately assessing land use and land cover (LULC) classification results from remote sensing data. Spatial stratification can dramatically improve spatial sampling efficiency by dividing the study area into several strata when classification correctness is...

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Bibliographic Details
Main Authors:	Shiwei Dong, Hui Guo, Ziyue Chen, Yuchun Pan, Bingbo Gao
Format:	Article
Language:	English
Published:	MDPI AG 2022-02-01
Series:	Remote Sensing
Subjects:	land use and land cover data reclassification spatial stratification sample allocation accuracy assessment sampling optimization
Online Access:	https://www.mdpi.com/2072-4292/14/4/865

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