Comparison of Landsat and ASTER in Land Cover Change Detection within Granite Quarries

R. S. Moeletsi, S. G. Tesfamichael

Abstract

This study evaluated and compared the utility of Landsat and ASTER in land cover change detection within granite quarries. Landsat data used was acquired in 1998 and 2015 while ASTER data used was acquired in 2001 and 2013. Both Landsat and ASTER were classified using supervised and maximum likelihood classification. Post-classification and Normalized Difference Vegetation Index change detection techniques were applied to assess and measure changes in land cover caused by granite quarries. Overall classification of ASTER was slightly higher than that obtained for Landsat (overall accuracy (OA) =79% and kappa 0.75vs. OA=75% and kappa 0.71). Both Landsat and ASTER were able to assess land cover changes within granite quarries. Change detection results revealed increase in granite quarries which subsequently resulted in decrease in vegetation and bare land and increase in water bodies within the quarries. The study found ASTER to be better at discriminating granite quarries from other land cover features and was able to detect small water bodies within granite quarries due to higher spatial resolution of bands in the VNIR subsystem. On the contrary, Landsat was found better at detecting changes in vegetation within granite quarries

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Paper Citation


in Harvard Style

Moeletsi R. and Tesfamichael S. (2018). Comparison of Landsat and ASTER in Land Cover Change Detection within Granite Quarries.In Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-294-3, pages 187-195. DOI: 10.5220/0006675801870195


in Bibtex Style

@conference{gistam18,
author={R. S. Moeletsi and S. G. Tesfamichael},
title={Comparison of Landsat and ASTER in Land Cover Change Detection within Granite Quarries},
booktitle={Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2018},
pages={187-195},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006675801870195},
isbn={978-989-758-294-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - Comparison of Landsat and ASTER in Land Cover Change Detection within Granite Quarries
SN - 978-989-758-294-3
AU - Moeletsi R.
AU - Tesfamichael S.
PY - 2018
SP - 187
EP - 195
DO - 10.5220/0006675801870195