Comparative Study of Spring Water Identification Methods in Northeast of China Based on Jilin-1 Spectrum Satellite
Taking Dunhua in Jilin province as the research area,based on Jilin-15-meter resolution remote sensing images,this pa-per uses six common water recognition methods,including single-band threshold method,multi-band spectral relationship method,NDWI water index,SWI water index,supervised classification method and unsupervised classification method to explore the most suit-able water recognition method for spring ice-snow melting period in northeast China. The effect of water identification was compared and analyzed by five indexes,including Kappa coefficient,commission,omission,area accuracy,etc. The results show that the most suitable extraction method is the supervised classification method,and NDWI water index method and multi-band spectral relationship method are the other methods with high accuracy.
water extractionremote sensing identificationwater index
NETL
NSTL
万方数据
