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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/15606

Title: Multi-Temporal Landsat Images and Ancillary Data for Land Use/Cover Change (LULCC) Detection in the Southwest of Burkina Faso, West Africa
Authors: Amekudzi, Leonard Kofitse
Zoungrana, Benewinde J-B.
Conrad, Christopher
Thiel, Michael
Evariste, Dapola Da
Forkuor, Gerald
Löw, Fabian
Keywords: West Africa
mono-temporal image;
multi-temporal images;
ancillary data;
Burkina Faso;
Issue Date: 2015
Publisher: remote sensing
Citation: remote sensing, 2015
Abstract: Accurate quantification of land use/cover change (LULCC) is important for efficient environmental management, especially in regions that are extremely affected by climate variability and continuous population growth such as West Africa. In this context, accurate LULC classification and statistically sound change area estimates are essential for a better understanding of LULCC processes. This study aimed at comparing mono-temporal and multi-temporal LULC classifications as well as their combination with ancillary data and to determine LULCC across the heterogeneous landscape of southwest Burkina Faso using accurate classification results. Landsat data (1999, 2006 and 2011) and ancillary data served
Description: This article is published at remote sensing, and also available at doi:10.3390/rs70912076
URI: doi:10.3390/rs70912076
Appears in Collections:College of Science

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