Extraction of Burned Land in Guizhou Province With Rule-based Object-oriented Classification
Based on GF1 WFV images,this paper analyzed the spectral,shape,and texture characteris-tics of the burned land in complex mountainous areas of Guizhou Province,established the extraction rules of burned land,and completed the extraction of burned land with rule-based object-oriented classi-fication.The results showed that the overall accuracy of this method was 92.67%,and the total Kappa coefficient was 0.89,which could well complete the extraction of burned land in the research area,and the classification quality reached an excellent level,providing a certain reference and theoretical basis for the extraction of burned land in complex mountainous areas of Guizhou Province.
object-oriented classificationGF1 satellite imageextraction of burned landmountainous areasGuizhou Province
NETL
NSTL
万方数据
维普
