Image Feature Analysis and Extraction Method Study of Farmland Waterlogging Based on Remote Sensing
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.
国家科技期刊平台
NSTL
万方数据
