Journal article

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

Inggit Lolita Sari, Christopher J Weston, Glenn J Newnham, Liubov Volkova

Remote Sensing | MDPI AG | Published : 2021

Abstract

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 confusion matrix for assessing map accuracy and by estimating areas of land cover change classes and associated uncertainty. The reference data were high-resolution images from SPOT 6/7 and high-resolution images finer than 5 m obtained from Open Foris Collect Earth. Results showed that the map derived from automated digital processing had lower accuracy (overall accuracy 73–77%) compared to the map based..

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Funding Acknowledgements

We thank two anonymous reviewers for their valuable comments. We would like to thank the Indonesian Ministry of Environment and Forestry (MoEF) for sharing the land cover map and the Indonesian National Institute of Aeronautics and Space (LAPAN) for sharing the satellite images. We thank the LCCA teams of LAPAN, the Indonesia-Australia Forest Carbon Partnership (IAFCP) for sharing data (i.e., Landsat mosaic, forest cover indices, and threshold for 2000-2014) and methods. I.L.S acknowledges the Indonesian Endowment Fund for Education (LPDP) for PhD scholarship.