🛰 Satellite(s)Landsat TM, ETM; | 📊 Monitoring elementLand/water surface reflectance, SAR backscatter. | ||||
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🧰 Description techniqueBoth Konko et al. (2018) pre-processed both optical and radar data were pre-processed. Normalized Difference Water Index (NDWI) calculations were then used to improve the discrimination of aquatic and terrestrial areas. | 📏 Accuracy / ResolutionOverall accuracy: 87%. | ||||
🗺 Case study
🔗 https://gitlab.com/envirosattools/documentation/-/wikis/coastal | |||||
🧩 Also fits domainFreshwater. | |||||
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Publication references📚 Konko, Y. , Bagaram, B. , Julien, F. , Akpamou, K. and Kokou, K. (2018) Multitemporal Analysis of Coastal Erosion Based on Multisource Satellite Images in the South of the Mono Transboundary Biosphere Reserve in Togo (West Africa). Open Access Library Journal, 5, 1-21. doi: 10.4236/oalib.1104526. | |||||
Other comments or informationDu et al. (2015) suggested to take full advantage of the 10-m information provided by Sentinel-2 images to produce a 10-m spatial resolution MDNWI maps, by downscaling the 20-m resolution SWIR band to 10-m based on pan-sharpening. | |||||
Other references📚 Aryastana P, Ardantha IM, Candrayana KW. 2018. Coastline change analysis and erosion prediction using satellite images. MATEC Web Conf. 197:13003. 📚 Du Y, Zhang Y, Ling F, Wang Q, Li W, Li X. 2016. Water Bodies’ Mapping from Sentinel-2 Imagery with Modified Normalized Difference Water Index at 10-m Spatial Resolution Produced by Sharpening the SWIR Band. Remote Sensing. 8(4):354. 📚 Hasan M, Karmaker S, Rahman M. 2020. Geomorphological change assessment of south western coastal region: a case study of Mongla Upazila, Bagerhat, Bangladesh. Journal of Applied Water Engineering and Research. 9. doi:10.1080/23249676.2020.1831977. 🔗 https://www.tandfonline.com/doi/full/10.1080/23249676.2020.1831977 |
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