基于Sentinel-1A的2019年安江省洪水淹没制图

T. Nguyen, Trung Chinh Nguyen, T. Nguyen, T. Doan
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引用次数: 2

摘要

给定的洪水事件。除了初步研究外,一些研究工作集中在提高估计精度上[11-14]。综述文章[15,16]也可用。摘要:安江是湄公河三角洲地区受洪涝灾害影响较大的省份之一,洪涝灾害给人民生命财产带来巨大损失和破坏。本研究将Sentinel-1A图像应用于2019年安江省洪水深度分布监测,并将回归相关和阈值法应用于散射值分析。研究结果表明,8月、9月和10月VV偏振影像的指数回归模型相关系数(r)在0.8398 ~ 0.9764之间,决定系数(r2)在0.7896 ~ 0.9533之间。当前洪水深度图结果显示,洪水深度范围为0 ~ 250 cm,对应4个洪水级别。8 - 10月洪涝面积增加,洪涝面积最大,为89,606.82公顷(占26.15%),主要集中在稻田和安富、亭边、洲清、洲富、富滩、三屯、洲Doc、龙宣市等8个市区。利用Sentinel-1A图像确定的洪水深度限制在145 cm以下。在此值以上,图像中的散射与实际淹没深度没有显著差异。
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Flood inundation mapping using Sentinel-1A in An Giang province in 2019
a given flood event. Apart from initial studies, several research works have concentrated on improving estimation accuracy [11-14]. Review articles [15, 16] are also available. Since the mid Abstract: An Giang is one of the provinces in the Mekong delta that is greatly affected by flood events, which brings damage and devastation to life and property. This study practices the application of Sentinel-1A images to monitor the distribution of flood depths in the An Giang province in 2019 as well as applies regression correlation and thresholding to scattering value analysis. The research results indicated the exponential regression model on the VV polarization images had correlation coefficients (r) in August, September, and October ranging from 0.8398 to 0.9764 and determination coefficients (R 2 ) ranging from 0.7896 to 0.9533. Results from the map of current flood depth showed that the flood depth ranged from 0-250 cm, which corresponded to four flood levels. The flood area increased from August to October with the largest flooded area being 89,606.82 ha (accounting for 26.15%) mainly on rice lands and in eight urban districts including An Phu, Tinh Bien, Chau Thanh, Chau Phu, Phu Tan, Tri Ton, Chau Doc, and Long Xuyen city. The limit of flood depth determined by using the Sentinel-1A images was below 145 cm. Above this value, the scattering in the image is not significantly different from the actual submerged depth.
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