中国农业气象 ›› 2026, Vol. 47 ›› Issue (4): 581-591.doi: 10.3969/j.issn.1000-6362.2026.04.009

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基于多时相Sentinel-1 SAR影像的夏玉米洪涝灾害监测方法:以河南浚县为例

吴文韬,薛昌颖   

  1. 1. 北京林业大学信息学院(人工智能学院),北京 100083;2. 中国气象局·河南省农业气象保障与应用技术重点开放实验室,郑州 450003;3.河南省气象科学研究所,郑州 450003
  • 收稿日期:2025-04-12 出版日期:2026-04-20 发布日期:2026-04-18
  • 作者简介:吴文韬,E-mail:wwtzj0714@163.com
  • 基金资助:
    国家重点研发计划项目(2024YFD2301301)

Monitoring Method of Flood Disaster of Summer Maize Based on Multi-temporal Sentinel-1 SAR Images: A Case Study of Xun County, Henan Province

WU Wen-tao, Xue Chang-ying   

  1. 1. School of Information Science and Technology(School of Artificial Intelligence), Beijing Forestry University, Beijing 100083, China; 2. China Meteorological Administration•Henan Key Laboratory of Agrometeorological Support and Applied Technique, Zhengzhou 450003; 3. Henan Institute of Meteorological Sciences, Zhengzhou 450003
  • Received:2025-04-12 Online:2026-04-20 Published:2026-04-18

摘要:

利用多时相哨兵一号(Sentinel−1地球观测卫星的合成孔径雷达(Synthetic Aperture Radar, SAR)遥感影像数据、气象、灾害、作物等多源数据建立基于Sentinel−1双极化水体指数(Sentinel−1 Dual−polarized Water IndexSDWI的夏玉米洪涝灾害区域监测方法,以县级行政单元为研究对象,提取夏玉米洪涝灾害淹没信息,确定县级单元中各乡镇夏玉米淹没区面积,开展2021年河南省浚县夏玉米拔节−成熟期洪涝灾害过程的动态监测及灾情评估。结果表明:(1)基于SDWI指数的夏玉米洪涝灾害区域监测方法,可以较好地监测河南省浚县夏玉米洪涝灾害的发生发展过程。监测结果显示,2021夏玉米拔节成熟期洪涝灾害主要发生在浚县中西部和南部,洪涝灾害对白寺镇和小河镇夏玉米的影响较大。2洪涝灾害对夏玉米的影响较大,整个研究区夏玉米受灾较为严重,受灾面积最大达4043.60×104m2与平水期715日相比,洪水期727日全县夏玉米洪水淹没面积占种植面积的百分比上升到12.10%88日则达到19.28%3)在县级行政单元中,各地夏玉米受灾情况差异很大。白寺镇受灾最为严重,其次为小河镇。与洪水期7月27日相比,8月8日各镇夏玉米新增淹没面积与全县新增淹没面积的百分比、各镇夏玉米新增淹没面积与各镇淹没面积的百分比、各镇淹没面积与全县种植面积的百分比,白寺镇均表现较高,分别为54.01%52.74%7.37%;其次为小河镇,分别为20.45%24.01%6.13%

关键词: Sentinel?1 SAR影像, 夏玉米, 洪涝灾害, 监测

Abstract:

Based on the Synthetic Aperture Radar (SAR) remote sensing image data from the Sentinel1 earth observation satellite, meteorological, disaster, crop and other multisource data, the regional monitoring method of flood disaster of summer maize based on Sentinel1 Dual Polarized Water Index (SDWI) was established. Taking countylevel administrative units as the research object, the inundation information of flood disasters of summer maize was extracted. The inundation area of summer maize caused by flood in each town of each countylevel unit was determined. The dynamic monitoring and disaster assessment during the jointing-maturity stage of summer maize in 2021 in Xun county, Henan province were carried out. The results indicated that: (1) the regional monitoring method of flood disaster of summer maize based on SDWI index could effectively monitor the occurrence and development process of flood disaster of summer maize in Xun county. The monitoring results showed that during the jointing−maturity stage of summer maize in 2021, the flood disasters mainly occurred in the central and southern parts of Xun county, which had significant impacts on summer maize in Baisi town and Xiaohe town. (2) The flood disaster had significant impacts on summer maize, with severe damage observed throughout the study area. The maximum affected area reached 4043.60×104m2. Compared to the normal period (July 15th), the submerged area of summer maize on July 27th during the flood period accounted for 12.10% of planting area of summer maize in Xun county. By August 8th, this percentage had increased to 19.28%. (3) There were significant differences in the disasters of summer maize among county−level administrative units. The summer maize in Baisi town was the most severely affected by the flood disaster, followed by Xiaohe town. Compared to the flood period on July 27th, the percentage of increased submerged area in each town to the total increased submerged area of summer maize in Xun county, the percentage of submerged area to the total submerged area of summer maize in Xun county, and the percentage of submerged area in each town to the total planting area of summer maize in Xun county on August 8th, were found to be relatively high in Baisi town, with the percentage of 54.01%, 52.74%, and 7.37%, respectively. In Xiaohe town, their percentages were 20.45%, 24.01%, and 6.13%, respectively.

Key words: Sentinel?1 SAR Images, Summer Maize, Flood Disaster, Monitoring