Towards understanding the environmental and climatic changes and its contribution to the spread of wildfires in Ghana using remote sensing tools and machine learning (Google Earth Engine)

Kueshi Sémanou Dahana Department of Environment and Sustainability Sciences, University for Development Studies, Tamale, Ghana;b West African Centre for Water, Irrigation and Sustainable Agriculture (WACWISA), University for Development Studies, Tamale, GhanaCorrespondence[email protected]

https://orcid.org/0000-0002-9243-6826 View further author information

Raymond Abudu Kaseib West African Centre for Water, Irrigation and Sustainable Agriculture (WACWISA), University for Development Studies, Tamale, Ghana;c Department of Environment, Water and Waste Engineering, University for Development Studies, Tamale, GhanaView further author information

Rikiatu Husseinid Department of Forestry and Forest Resources Management, Faculty of Natural Resources and Environment, University for Development Studies, Tamale, GhanaView further author information

Mohammed Y. Saide Center for Sustainable Drylands Ecosystems and Societies, University of Nairobi, Nairobi, KenyaView further author information

Md.Mijanur Rahmanf Founder and CEO Study Hacks (Institute of GIS & Remote Sensing), Department of Geography & Environment, Jagannah University, Dhaka, BangladeshView further author information

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Kueshi Sémanou Dahan, Raymond Abudu Kasei & Rikiatu Husseini. (2023) Land use land cover (LULC) degradation intensity analysis of Guinea savannah and mosaic Forest savannah zones in Ghana. All Earth 35:1, pages 302-328.
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Kueshi Sémanou Dahan, Raymond Abudu Kasei, Rikiatu Husseini, Mamadou Sarr & Mohammed Y. Said. (2024) Analysis of the future potential impact of environmental and climate changes on wildfire spread in Ghana's ecological zones using a Random Forest (RF) machine learning approach. Remote Sensing Applications: Society and Environment 33, pages 101091.
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Towards understanding the environmental and climatic changes and its contribution to the spread of wildfires in Ghana using remote sensing tools and machine learning (Google Earth Engine)

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Towards understanding the environmental and climatic changes and its contribution to the spread of wildfires in Ghana using remote sensing tools and machine learning (Google Earth Engine)

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