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Sentinel-1A SAR數(shù)據(jù)在緬甸伊洛瓦底江下游區(qū)洪水監(jiān)測中的應用

發(fā)布時間:2018-06-24 08:35

  本文選題:Sentinel-A + SAR。 參考:《遙感技術與應用》2017年02期


【摘要】:星載合成孔徑雷達(Synthetic Aperture Radar,SAR)具有全天候、全天時、實時性和寬覆蓋的觀測優(yōu)勢,可以廣泛應用于洪水災情監(jiān)測。2015年7月16日~8月12日,緬甸遭遇近40年罕見的洪澇自然災害。為此,本研究基于災前和災中Sentinel-1ASAR的影像開展緬甸伊洛瓦底江下游地區(qū)洪澇淹沒范圍監(jiān)測。首先通過分析水體和受淹植被區(qū)的雷達微波后向散射機理,分別建立了開放性水體和受淹植被兩類淹沒區(qū)提取模型;然后通過該模型利用災前、災中兩期Sentinel-1A數(shù)據(jù)提取了2015年8月11日緬甸伊洛瓦底江下游地區(qū)特大洪水淹沒范圍;同時結合地表覆蓋等地理信息,分析了淹沒范圍內的耕地受災情況。結果顯示,基于Sentinel-1ASAR數(shù)據(jù)本研究分別提取了伊洛瓦底江下游開放性水體和受淹植被兩類淹沒區(qū)。其中,耕地受災面積達5 681.05km2,受災嚴重。研究表明Sentinel-1ASAR在洪水災害的淹沒范圍監(jiān)測方面具有較大的應用潛力。
[Abstract]:Spaceborne synthetic Aperture radar (SAR) has the advantages of all-weather, real-time and wide coverage, and can be widely used in flood disaster monitoring. From July 16 to August 12, 2015, Myanmar suffered from a rare flood and waterlogging disaster in nearly 40 years. Therefore, based on the images of Sentinel-1ASAR before and during the disaster, the flood coverage in the lower reaches of the Irrawaddy River in Myanmar is monitored. Firstly, by analyzing the mechanism of radar microwave backscattering in water body and flooded vegetation area, two kinds of extraction models of open water body and flooded vegetation region were established, and then the model was used before the disaster. Two periods of Sentinel-1A data extracted the flood inundation area in the lower reaches of the Irrawaddy River in Myanmar on August 11, 2015, and analyzed the disaster situation of cultivated land in the inundated area based on the geographic information such as surface cover. The results showed that the open water body and the flooded vegetation area were extracted from the lower reaches of the Irrawaddy River based on Sentinel-1ASAR data. Among them, cultivated land affected area up to 5,681.05km2, seriously affected. The results show that Sentinel-1ASAR has great application potential in flood disaster submergence monitoring.
【作者單位】: 中國水利水電科學研究院;水利部防洪抗旱減災工程技術研究中心;
【基金】:高分辨率對地觀測系統(tǒng)重大專項(08-Y30B07-9001-13/15) 中歐科技合作“龍計劃”三期項目(10557) 國家自然科學基金重點項目(51420105014)
【分類號】:P332
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本文編號:2060843

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