Using multisource remotely sensed data and cloud computing approaches to map non-native species in the semi-arid savannah rangelands of Mpumalanga, South Africa-Reference-Cited by-同舟云学术

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

Published:2024-04-14 Issue: Volume: Page:1-24
ISSN:0373-6245
Container-title:South African Geographical Journal
language:en
Short-container-title:South African Geographical Journal

Author:

Maphanga Thabang¹^ORCID,Dube Timothy¹,Shoko Cletah²,Sibanda Mbulisi³,Gxokwe Siyamthanda¹

Affiliation:

1. Department of Earth Science, Institute for Water Studies, University of the Western Cape, Bellville, South Africa

2. Division of Geography, School of Geography, Archaeology and Environmental Studies, University of the Witwatersrand, Johannesburg, South Africa

3. Department of Geography, Environmental Studies, and Tourism, The University of the Western Cape, Bellville, South Africa

Funder

National Research Foundation

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/03736245.2024.2341660

Reference71 articles.

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3. Amalisana, B., & Hernina, R.(2017, December). Land cover analysis by using pixel-based and object-based image classification method in Bogor. In IOP Conference Series: Earth and Environmental Science (Vol. 98, No. 1, pp. 012005). IOP Publishing. https://iopscience.iop.org/article/10.1088/1755-1315/98/1/012005/meta

4. Toward Operational Mapping of Woody Canopy Cover in Tropical Savannas Using Google Earth Engine

5. Arntzen J. (1998). Economic valuation of communal rangelands in Botswana: A case study. CREED Working Paper Series No. 17. https://www.iied.org/sites/default/files/pdfs/migrate/8096IIED.pdf?

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