IMHE OpenIR  > 成都山地所知识仓储(2009年以前)
The application of high spatial resolution remote sensing image for vegetation type recognition in dagou valley
Language英语
Aqiang, Yang1,2; Chuang, Liu1; Jianrong, Fan3; Jinling, Zhao1,2; Jing, Tan1,2
2008
Source PublicationProceedings of SPIE - The International Society for Optical Engineering
Author of SourceSPIE
Volume7147
Pages71470F
meetingGeoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images
Conference DateJune 28, 2008 - June 29, 2008
Conference PlaceGuangzhou
CountryChina
Contribution Rank2
AbstractThis paper present a detail processing procedure about SPOT5 image applied for vegetation typerecognition, and determines the capacity of high spatial resolution satellite image data to discriminatevegetation 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 vegetationclasses. 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 highclassification 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. 
Keywordhigh spatial resolution remote sensing SPOT5 MLC
DOI10.1117/12.813215
ISSN0277786X
Indexed ByEI
Accession numberAccession number:;20091311979251
Citation statistics
Document Type会议论文
Identifierhttp://ir.imde.ac.cn/handle/131551/25948
Collection成都山地所知识仓储(2009年以前)
Affiliation1.Institute of Geographical Science and Natural Resources Research, CAS, Beijing 100101, China;
2.Graduate University, Chinese Academy of Sciences, Beijing 100049, China;
3.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
Recommended Citation
GB/T 7714
Aqiang, Yang,Chuang, Liu,Jianrong, Fan,et al. The application of high spatial resolution remote sensing image for vegetation type recognition in dagou valley[C]//SPIE,2008:71470F.
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