Advancements in remote sensing technologies for accurate monitoring and management of surface water resources in Africa: an overview, limitations, and future directions

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dc.contributor.authorSigopi, Maria
dc.contributor.authorDube, Timothy
dc.contributor.authorShoko, Cletah
dc.date.accessioned2025-02-03T12:52:38Z
dc.date.available2025-02-03T12:52:38Z
dc.date.issued2024
dc.description.abstractThis review presents a comprehensive examination of recent advancements in utilizing multi-date satellite data to analyze spatial and temporal variations in seasonal and inter-annual surface water dynamics within arid environments of Africa. Remote sensing offers continuous, precise, and long-term datasets for surface water research. Various sensors with differing spatial resolutions are discussed, with high-resolution multispectral sensors providing superior spatial resolution but at higher costs. Conversely, dual-sensor approaches, incuding optical sensors (Sentinel-2 and Landsat), radar satellites (Sentinel-1 and RADARSAT) and UAVs were investigated. The review further examines the efficiency and applicability of traditional algorithms such as the modified normalized difference water index (MNDWI), normalized difference water index (NDWI), and automated water extraction index (AWEI) in detecting and delineating surface water resources. Additionally, machine learning (ML) algorithms, including support vector machines (SVM), Random Forest (RF), deep learning and emerging methodologies like recurrent tranformer networks, have been explored. Therefore, we recommend that future research endeavours focus on leveraging high-resolution satellite imagery and integrating physical models with deep learning techniques, artificial intelligence, and online big data processing platforms to improve surface water mapping capabilities.
dc.identifier.citationSigopi, M., Shoko, C. and Dube, T., 2024. Advancements in remote sensing technologies for accurate monitoring and management of surface water resources in Africa: an overview, limitations, and future directions. Geocarto International, 39(1), p.2347935.
dc.identifier.urihttps://doi.org/10.1080/10106049.2024.2347935
dc.identifier.urihttps://hdl.handle.net/10566/19955
dc.language.isoen
dc.publisherTaylor and Francis Ltd.
dc.subjectAridity
dc.subjectClimate change
dc.subjectData extraction and integration
dc.subjectMulti-date satellite data
dc.subjectSurface water dynamics
dc.titleAdvancements in remote sensing technologies for accurate monitoring and management of surface water resources in Africa: an overview, limitations, and future directions
dc.typeArticle

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