Research And Analysis Of Water Extraction Oriented To Geographical Conditions Monitoring

Geographical conditions,China's important basic national conditions,it plays a significant role in social and economic development and urbanization construction;through monitoring and statistical analysis of the national conditions elements,geographical conditions has been reflected in the spatial distribution of elements and evolution results.Because the water is the important element of basic surveying and geography and conditions monitoring,it is essential to study the extraction and statistics and analysis of water.This paper mainly use three methods to extract water,traditional supervised classification method,object-oriented classification method based on eCognition software and GIS method for extracting water by DEM.Finally,based on the extraction of water and combined with four special water data,do the basic statistical analysis of Xi'an Zhouzhi county water.The extraction of water system based on eCognition is mainly divided into two steps,First is to select the optimal segmentation parameters,including scale parameters,shape parameters,spectral parameters,and segment the remote sensing images,and the quality of segmentation affects the classification accuracy.Second,on the basis of segmentation,the features of the eCognition software are used to analyze the features of the objects,and the appropriate object features are selected to extract the water system.In this study,ZY3 fusion images with a resolution of 2 meters were used as the experimental area.The water system was extracted by supervised classification and object-oriented image classification.The extraction results were compared and the water extraction methods were applied to the monitoring project.The GIS method of extracting water system by using DEM data is explored.The innovation of this research is that the automatic water extraction method greatly improves the daily production efficiency of the project,reduces the manual workload,and provides some technical reference for the national condition monitoring project.