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author:

Duan, W. (Duan, W..) [1] | Wen, X. (Wen, X..) [2] (Scholars:温小乐) | Xu, H. (Xu, H..) [3] (Scholars:徐涵秋) | Deng, W. (Deng, W..) [4]

Indexed by:

EI Scopus PKU CSCD

Abstract:

In the summer of 2020, heavy rains made the Poyang Lake region witnessed a big flood event. Remote sensing earth observation technology can help to map and assess the flood hazard quickly and efficiently. Therefore, two 2020 satellite images acquired on April 15 (Landsat-8 OLI) and July 14 (Sentinel-1A SAR) were selected in this study to represent the dates before and after the flood to evaluate the disaster. Using remote sensing thematic information extraction, Random Forest classification and change detection technology, the inundation area and the area of major land cover types within the inundation areas were revealed. Associated with the hydrological, meteorological and topographical data, the specific flooded sites and the factors causing the disaster were identified and analyzed. The results show that the flood-inundation extent in the Poyang Lake region in 2020 is 1961.95 km2, including 760.54 km2 of farmland, 71.59 km2 of forest, 992.02 km2 of grassland, 26.97 km2 of soil, and 110.83 km2 of built-up land. Poyang County was most severely affected in this flood event, with a total inundated area of 514.35 km2. The next two are Xinjian County with 330 km2 and Yugan County with 310 km2. The main hydro-meteorological and topographical factors that caused the flood are considered to be: (1) higher water level than that in the 1998 flood; (2) failure of timely discharge of water due to backflow of the Yangtze River; (3) breach of the embankments. © 2022, Science Press. All right reserved.

Keyword:

Disaster analysis Flood Land cover Landsat 8 Poyang Lake Precipitation Remote sensing Sentinel-1A

Community:

  • [ 1 ] [Duan, W.]College of Environment and Safety Engineering, Institute of Remote Sensing Information Engineering, Fuzhou University, Fuzhou, 350116, China
  • [ 2 ] [Duan, W.]Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster Prevention, Fuzhou, 350116, China
  • [ 3 ] [Wen, X.]College of Environment and Safety Engineering, Institute of Remote Sensing Information Engineering, Fuzhou University, Fuzhou, 350116, China
  • [ 4 ] [Wen, X.]Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster Prevention, Fuzhou, 350116, China
  • [ 5 ] [Xu, H.]College of Environment and Safety Engineering, Institute of Remote Sensing Information Engineering, Fuzhou University, Fuzhou, 350116, China
  • [ 6 ] [Xu, H.]Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster Prevention, Fuzhou, 350116, China
  • [ 7 ] [Deng, W.]College of Environment and Safety Engineering, Institute of Remote Sensing Information Engineering, Fuzhou University, Fuzhou, 350116, China
  • [ 8 ] [Deng, W.]Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster Prevention, Fuzhou, 350116, China

Reprint 's Address:

  • 徐涵秋

    [Xu, H.]College of Environment and Safety Engineering, China;;[Xu, H.]Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster PreventionChina

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Source :

Journal of Geo-Information Science

ISSN: 1560-8999

CN: 11-5809/P

Year: 2022

Issue: 12

Volume: 24

Page: 2435-2447

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 6

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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