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Land use/land cover classification for the iron ore mining site of Kishushe, Kenya: a feasibility study of traditional and machine learning algorithms
Motivated by the need to enhance the precision of land use/land cover classification for mining environments challenged by rapid anthropogenic and natural changes, we analysed multispectral Sentinel 2A satellite data using four different classifiers: Maximum Likelihood Classifier (MLC), Support Vector...
Uploaded by: Nashon AderoAuthor: Siljander, M.
Co-author: Gitau, F.
Co-author: Nyambu, E.
Co-author: Adero, Nashon | ORCID: 0000-0003-2830-7912
Publisher of document: Kenya : Centre of Excellence in Mining, Environmental Engineering and Resource Management , Taita Taveta University
Published in: African Journal of Mining, Entrepreneurship and Natural Resource Management (AJMENRM), ISSN 2706-6002
Date: April 2020 | Pages: 115-124
The future of Africa in the post-COVID-19 world
The future of Africa in the Post-COVID-19 World is a timely book on Africa, a continent whose strategic position in the nexus of emerging global megatrends and complex development challenges is receiving increased attention. This book is a wellspring of...
Uploaded by: Nashon AderoAuthor: Adero, Nashon | ORCID: 0000-0003-2830-7912
Co-author: Juma, Josephat (editor)
Publisher of document: Kenya: Inter Region Economic Network, ISBN 9789914708806
Date: 2021 | Pages: xvi, 227
