Seventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2019) 2019
DOI: 10.1117/12.2533660
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On the use of SAR and optical data in assessment of flooded areas

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Cited by 7 publications
(6 citation statements)
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“…The NDWI is a remote sensing based indicator, sensitive to the change in the water content of the leaves. As well as NDVI, NDWI is derived from remote sensing data 13,14,15 , and it uses the differences in reflectance between two bands of the electromagnetic spectrum to identify the presence of water.…”
Section: Ndwimentioning
confidence: 99%
“…The NDWI is a remote sensing based indicator, sensitive to the change in the water content of the leaves. As well as NDVI, NDWI is derived from remote sensing data 13,14,15 , and it uses the differences in reflectance between two bands of the electromagnetic spectrum to identify the presence of water.…”
Section: Ndwimentioning
confidence: 99%
“…This stems from the different wavelengths in the optical and microwave ranges, and the use of the microwave range appears to be more appropriate for the purposes of the study. With the help of radar images, the detection, identification and recognition of water, wet areas, wet snow, ice and rocks is easier and is applicable for polar research 12,13 .…”
Section: Data Acquisitionmentioning
confidence: 99%
“…SAR gives information about the presence of wet snow, ice and helps to identify ice rocks, as there is already a proven classification of objects 8,13 .…”
Section: Leeⓒ and Fujiⓒ And Lb/cc Indexmentioning
confidence: 99%
“…The availability of ground-based data in addition allows effective and cost-effective monitoring of climate change in remote areas using SAR data. The SAR C-band enables the effective study of various objects [5][6][7][8][9][10][11][12][13][14][15] and especially wet snow and ice 3,4,[16][17][18][19] . Using SAR data, we studied the type of changes in the digital value of the reflected signal (Q) from various objects, including water in different phase states.…”
Section: Introductionmentioning
confidence: 99%