FLOOD HAZARD MAPPING AT LONG XUYEN QUADRANGLE IN 2015 USING GEOGRAPHIC INFORMATION AND REMOTE SENSING

<p>In recent year, the flooding has been occurred with higher frequency at Long Xuyen Quadrangle areas of Mekong Delta, Vietnam. It was considered as a major natural disaster which effects on the physical and spiritual in people’s life in this area. This research aims to generate a flood hazar...

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Main Authors: N. T. H. Diep, T. H. Duy, P. K. Diem, N. T. B. Nam, N. T. T. Huong
Format: Article
Language:English
Published: Copernicus Publications 2019-08-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W8/275/2019/isprs-archives-XLII-3-W8-275-2019.pdf
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author N. T. H. Diep
T. H. Duy
P. K. Diem
N. T. B. Nam
N. T. T. Huong
author_facet N. T. H. Diep
T. H. Duy
P. K. Diem
N. T. B. Nam
N. T. T. Huong
author_sort N. T. H. Diep
collection DOAJ
description <p>In recent year, the flooding has been occurred with higher frequency at Long Xuyen Quadrangle areas of Mekong Delta, Vietnam. It was considered as a major natural disaster which effects on the physical and spiritual in people’s life in this area. This research aims to generate a flood hazard map and assess the flood situation at Long Xuyen quadrangle in 2015. The MNDWI (Modification of Normalized Difference Water Index) extracting from Sentinel 2 image was used to map the flood extent at Long Xuyen quadrangle during rainy season in 2015. The statistics method was estimated correlation coefficient between flooding spatial distribution and hydrological stations on SPSS software. The results showed that the severe flood occurred from August to December in 2015. There were about 47.6% and 28.2% of the total area were inundated in October and August, respectively. The correlation between inundated areas and water level at Ha Tien and Chau Doc hydrological stations was 0.73 and 0.65 (p <0.01), respectively. The derived information was very essential and valuable for local managers in making decision on responding and mitigating to the flood disaster.</p>
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spelling doaj.art-1eed8f32572b42c2a7646db5e2a5ea222022-12-22T03:52:10ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342019-08-01XLII-3-W827528110.5194/isprs-archives-XLII-3-W8-275-2019FLOOD HAZARD MAPPING AT LONG XUYEN QUADRANGLE IN 2015 USING GEOGRAPHIC INFORMATION AND REMOTE SENSINGN. T. H. Diep0T. H. Duy1P. K. Diem2N. T. B. Nam3N. T. T. Huong4Land Resources Department, College of Environment and Natural Resources, Can Tho University, VietnamLand Resources Department, College of Environment and Natural Resources, Can Tho University, VietnamLand Resources Department, College of Environment and Natural Resources, Can Tho University, VietnamLand Resources Department, College of Environment and Natural Resources, Can Tho University, VietnamForest Ecology and Environment Department, Faculty of Agriculture and Forestry, Tay Nguyen University, Vietnam<p>In recent year, the flooding has been occurred with higher frequency at Long Xuyen Quadrangle areas of Mekong Delta, Vietnam. It was considered as a major natural disaster which effects on the physical and spiritual in people’s life in this area. This research aims to generate a flood hazard map and assess the flood situation at Long Xuyen quadrangle in 2015. The MNDWI (Modification of Normalized Difference Water Index) extracting from Sentinel 2 image was used to map the flood extent at Long Xuyen quadrangle during rainy season in 2015. The statistics method was estimated correlation coefficient between flooding spatial distribution and hydrological stations on SPSS software. The results showed that the severe flood occurred from August to December in 2015. There were about 47.6% and 28.2% of the total area were inundated in October and August, respectively. The correlation between inundated areas and water level at Ha Tien and Chau Doc hydrological stations was 0.73 and 0.65 (p <0.01), respectively. The derived information was very essential and valuable for local managers in making decision on responding and mitigating to the flood disaster.</p>https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W8/275/2019/isprs-archives-XLII-3-W8-275-2019.pdf
spellingShingle N. T. H. Diep
T. H. Duy
P. K. Diem
N. T. B. Nam
N. T. T. Huong
FLOOD HAZARD MAPPING AT LONG XUYEN QUADRANGLE IN 2015 USING GEOGRAPHIC INFORMATION AND REMOTE SENSING
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title FLOOD HAZARD MAPPING AT LONG XUYEN QUADRANGLE IN 2015 USING GEOGRAPHIC INFORMATION AND REMOTE SENSING
title_full FLOOD HAZARD MAPPING AT LONG XUYEN QUADRANGLE IN 2015 USING GEOGRAPHIC INFORMATION AND REMOTE SENSING
title_fullStr FLOOD HAZARD MAPPING AT LONG XUYEN QUADRANGLE IN 2015 USING GEOGRAPHIC INFORMATION AND REMOTE SENSING
title_full_unstemmed FLOOD HAZARD MAPPING AT LONG XUYEN QUADRANGLE IN 2015 USING GEOGRAPHIC INFORMATION AND REMOTE SENSING
title_short FLOOD HAZARD MAPPING AT LONG XUYEN QUADRANGLE IN 2015 USING GEOGRAPHIC INFORMATION AND REMOTE SENSING
title_sort flood hazard mapping at long xuyen quadrangle in 2015 using geographic information and remote sensing
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W8/275/2019/isprs-archives-XLII-3-W8-275-2019.pdf
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