Mahdavi, S. et Salehi, B. et Granger, J. et Amani, M. et Brisco, B. et Huang, W. (2018). Remote sensing for wetland classification: a comprehensive review. GIScience & Remote Sensing , 55 (5). pp. 623-658. DOI: 10.1080/15481603.2017.1419602.
Ce document n'est pas hébergé sur Bibliothèque Électronique Lac Saint-Pierre.Résumé
Wetlands are valuable natural resources that provide many benefits to the environment. Therefore, mapping wetlands is crucially important. Several review papers on remote sensing (RS) of wetlands have been published thus far. However, there is no recent review paper that contains an inclusive description of the importance of wetlands, the urgent need for wetland classification, along with a thorough explanation of the existing methods for wetland mapping using RS methods. This paper attempts to provide readers with an exhaustive review regarding different aspects of wetland studies. First, the readers are acquainted with the characteristics, importance, and challenges of wetlands. Then, various RS approaches for wetland classification are discussed, along with their advantages and disadvantages. These approaches include wetlandclassification using aerial, multispectral, synthetic aperture radar (SAR), and several other data sets. Different pixel-based and objectbased algorithms for wetland classification are also explored in this study. The most important conclusions drawn from the literature are that the red edge and near-infrared bands are the best optical bands for wetland delineation. In terms of SAR imagery, large incidence angles, short wavelengths, and horizontal transmission and vertical reception polarization are best for detecting of herbaceous wetlands, while small incidence angles, long wavelengths, and horizontal transmissionand reception polarization are appropriate for mapping forested wetlands.
| Type de document: | Article scientifique |
|---|---|
| Statut du texte intégral: | Autre |
| Mots-clés libres: | Wetland, Wetland characteristics, Wetland classification, Wetland inventory, Remote sensing |
| Sujets: | 3. Végétation, milieux humides 8. Impacts et monitoring > 8.5. Télédétection, photos aériennes, satellites, radiation UV 8. Impacts et monitoring > 8.7. Modélisations et indicateurs |
| Date de dépôt: | 09 nov. 2018 15:20 |
| Dernière modification: | 09 nov. 2018 15:20 |
| URI: | https://belsp.uqtr.ca/id/eprint/1416 |
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