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Garikai Membele
Department of Geography and Environmental Studies, University of Zambia, Lusaka, Zambia
Publications
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Research Article
Monitoring Forest Cover Change in Kalomo Hills Local Forest Using Remote Sensing and GIS: 1984-2018
Author(s): Teddy Mbanga Mbanga*, Mark C. Mulenga and Garikai Membele
The purpose of the study was to use remote sensing and GIS to assess forest cover change in Kalomo hills local forest. It sought to determine land cover change, quantify forest cover change, and identify the drivers of forest cover change over this period. This was a case study which employed mixed methods. Primary data and secondary data sources were used. Landsat satellite imagery of the study area were used. Image processing, classification and analysis of remote sensing satellite imagery data was conducted using Arc GIS 10.3 to produce change maps, and land cover change statistics. The study employed supervised image classification using the maximum-likelihood classifier algorithm on Landsat images for 1984, 2004, and 2018. Change detection was performed using the post-classification comparison from which change matrices were generated. Thematic analysis was performed in Statistic.. View more»