安徽农业科学2024，Vol.52Issue(23)：211-215,5.DOI:10.3969/j.issn.0517-6611.2024.23.046
农田涝灾遥感影像特征分析及提取方法研究
Image Feature Analysis and Extraction Method Study of Farmland Waterlogging Based on Remote Sensing
摘要
Abstract
The previous researches on the recognition of farmland waterlogging using remote sensing usually focus on the enhancement and ex-traction of waterbody information.In fact,the features of farmland waterlogging in remote sensing image are different from those of water,pres-enting specific heterogeneity and complexity due to the composite of crops and waterbody.The method of rapid extraction of farmland waterlog-ging based on spatial information technology was explored,which takes into account the complexity of farmland waterlogging.Mid to late July in 2021,catastrophic flood disaster occurred in Henan Province.Taking Weihui City and Junxian as the research areas and Sentinel 2 image as the main data,we analyzed the image characteristics of farmland flood disasters and the distribution information of farmland waterlogging in research areas was extracted by combining normalization difference vegetation index and visual interpretation.The accuracies of the two re-search areas were more than 90%,based on the in situ data.关键词
农田涝灾/复合信息/影像特征/信息提取Key words
Farmland waterlogging/Composite information/Image characteristics/Information extraction分类
农业科技引用本文复制引用
陈媛媛,焦为杰,王来刚,贾少荣,王亚鑫,韩巍,游炯,胡华浪..农田涝灾遥感影像特征分析及提取方法研究[J].安徽农业科学,2024,52(23):211-215,5.基金项目
国家重点研发计划项目(2019YFE0115200,2023YFB3906-205). （2019YFE0115200,2023YFB3906-205）
