Assessing Accuracy of Land Cover Change Maps Derived from Automated Digital Processing and Visual Interpretation in Tropical Forests in Indonesia

Assessing Accuracy of Land Cover Change Maps Derived from Automated Digital Processing and Visual Interpretation in Tropical Forests in Indonesia

This study assessed the accuracy of land cover change (2000–2018) maps compiled from Landsat images with either automated digital processing or with visual interpretation for a tropical forest area in Indonesia. The accuracy assessment used a two-stage stratified random sampling involving a confusio...

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Bibliographic Details
Main Authors: Inggit Lolita Sari, Christopher J. Weston, Glenn J. Newnham, Liubov Volkova
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
accuracy assessment
land cover change maps
automated digital processing
visual interpretation
two-stage stratified random sampling
Online Access:https://www.mdpi.com/2072-4292/13/8/1446

Internet

https://www.mdpi.com/2072-4292/13/8/1446

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