Comparison of Simple Averaging and Latent Class Modeling to Estimate the Area of Land Cover in the Presence of Reference Data Variability

Comparison of Simple Averaging and Latent Class Modeling to Estimate the Area of Land Cover in the Presence of Reference Data Variability

Estimates of the area or percent area of the land cover classes within a study region are often based on the reference land cover class labels assigned by analysts interpreting satellite imagery and other ancillary spatial data. Different analysts interpreting the same spatial unit will not always a...

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Bibliographic Details
Main Authors: Dingfan Xing, Stephen V. Stehman, Giles M. Foody, Bruce W. Pengra
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Land
Subjects:
land cover monitoring
sampling
Landsat
LCMAP
remote sensing
Online Access:https://www.mdpi.com/2073-445X/10/1/35

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