Using multisource remotely sensed data and cloud computing approaches to map non-native species in the semi-arid savannah rangelands of Mpumalanga, South Africa

Thabang Maphangaa Department of Earth Science, Institute for Water Studies, University of the Western Cape, Bellville, South AfricaCorrespondence[email protected]

https://orcid.org/0000-0002-8714-1185 View further author information

Timothy Dubea Department of Earth Science, Institute for Water Studies, University of the Western Cape, Bellville, South AfricaView further author information

Cletah Shokob Division of Geography, School of Geography, Archaeology and Environmental Studies, University of the Witwatersrand, Johannesburg, South AfricaView further author information

Mbulisi Sibandac Department of Geography, Environmental Studies, and Tourism, The University of the Western Cape, Bellville, South AfricaView further author information

Siyamthanda Gxokwea Department of Earth Science, Institute for Water Studies, University of the Western Cape, Bellville, South AfricaView further author information

Using multisource remotely sensed data and cloud computing approaches to map non-native species in the semi-arid savannah rangelands of Mpumalanga, South Africa

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Using multisource remotely sensed data and cloud computing approaches to map non-native species in the semi-arid savannah rangelands of Mpumalanga, South Africa

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