Please use this identifier to cite or link to this item: http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/30230
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dc.contributor.authorAdejoke, B. Aransiola-
dc.contributor.authorAlaaya, A. Abdulwaheed-
dc.contributor.authorMahmud, Baba-
dc.contributor.authorImeime, I. Uyo-
dc.date.accessioned2026-01-25T12:16:00Z-
dc.date.available2026-01-25T12:16:00Z-
dc.date.issued2025-09-
dc.identifier.citationApa 6th editionen_US
dc.identifier.isbn978-3-031-91981-7-
dc.identifier.issn1875-1261-
dc.identifier.urihttps://doi.org/10.1007/978-3-031-91982-4-
dc.identifier.urihttp://irepo.futminna.edu.ng:8080/jspui/handle/123456789/30230-
dc.description.abstractWetlands are a valuable resource that are natural which offer the ecology several advantages. For this reason, wetlands need to be well defined. So far, a number of review papers have been published for Remote Sensing (RS) based wetland mapping. This review will give an insight to the reader on the usage of remote sensing (RS) in the monitoring of wetlands. Nevertheless, there is a pressing need to classify and analysis wetlands. Several RS techniques for classifying wetlands are examined, along with the benefits and drawbacks of each. Wetlands are amazing ecosystems with a wealth of ecological, commercial, and social advantages. These methods involve the classification of wetlands using aerial, multispectral, synthetic aperture radar (SAR), and various other data sets. This study also investigates object-based and pixel-based wetland classification techniques. The most significant findings from the literature indicate that the optimal optical bands for mapping wetlands are the red edge and near-infrared bands.en_US
dc.language.isoenen_US
dc.publisherSpringer Nature Switzerland AGen_US
dc.subjectMulti-spectral satellites · Coarse spatial resolution data · Mapping · Photographyen_US
dc.titleApplication of Remote Sensing in Wetland Monitoringen_US
dc.title.alternativeWetland Ecosystems: Conservation Strategies, Policy Management and Applicationsen_US
dc.typeBook chapteren_US
Appears in Collections:Surveying & Geoinformatics

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