Chinese Journal of Agrometeorology ›› 2026, Vol. 47 ›› Issue (4): 581-591.doi: 10.3969/j.issn.1000-6362.2026.04.009

Previous Articles     Next Articles

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

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