Automatic Detection of Open and Vegetated Water Bodies Using Sentinel 1 to Map African Malaria Vector Mosquito Breeding Habitats

Hardy, A, Ettritch, G, Cross, DE et al. (8 more authors) (2019) Automatic Detection of Open and Vegetated Water Bodies Using Sentinel 1 to Map African Malaria Vector Mosquito Breeding Habitats. Remote Sensing, 11 (5). 593. ISSN 2072-4292

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0). To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Keywords: flood mapping; water body detection; malaria; wetland; Sentinel-1; open-source; sub-Saharan Africa; hydrology
Dates:
  • Published: 12 March 2019
  • Accepted: 11 March 2019
  • Published (online): 12 March 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > River Basin Processes & Management (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 11 Apr 2019 14:24
Last Modified: 11 Apr 2019 14:24
Status: Published
Publisher: MDPI
Identification Number: https://doi.org/10.3390/rs11050593

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