The Application of High Spatial Resolution Remote Sensing Image for Vegetation Type Recognition in Dagou Valley
This paper present a detail processing procedure about SPOT5 image applied for vegetation type recognition,and determines the capacity of high spatial resolution satellite image data to discriminate vegetation type in a complex ecosystem.A high spatial resolution SPOT5 image,captured in April 2005,and coincident field data covering the Dagou valley,was used in this analysis.Image geometric rectification and image fusion are then introduced to take prepare for classification.Subsequently,a maximum likelihood classification algorithm was applied to the SPOT5 image data to map the vegetation classes.Field validation and accuracy assessment are crucial to ensure the reliability of classification results.The strategy of field work and the resulting accuracy evaluations were presented,and yielded the high classification accuracy (overall accuracy=83.86％,Kappa=80.23％).The result showed that the information on vegetation types can be mapped effectively from high spatial resolution satellite image data.
high spatial resolution remote sensing SPOT5 MLC
Yang Aqiang Liu Chuang Fan Jianrong Zhao Jinling Tan Jing
Institute of Geographical Science and Natural Resources Research,CAS,Beijing 100101,China;Graduate U Institute of Geographical Science and Natural Resources Research,CAS,Beijing 100101,China Institute of Mountain Hazards and Environment Chinese Academy of Sciences,Chengdu 610041,China
国际会议
第16届国际地理信息科学与技术大会(16th International Conference on GeoInformatics and the Joint Conference)
广州
英文
2008-06-28（万方平台首次上网日期，不代表论文的发表时间）