MING Tao1; SHEN Wei2; PENG Guangxiong3; DENG Lei4; CUI Weihong3
Source Publicationchinesegeographicalscience
AbstractUsing three-phase remote sensing images of China-Brazil Earth Resources Satellite 02B (CBERS02B) and Landsat-5 TM, tobacco field was extracted by the analysis of time series image based on the different phenological characteristics between tobacco and other crops. The spectral characteristics of tobacco and corn in luxuriant growth stage are very similar, which makes them difficult to be distinguished using a single-phase remote sensing image. Field film after tobacco seedlings transplanting can be used as significant sign to identify tobacco. Remote sensing interpretation map based on the fusion image of TM and CBERS02B's High-Resolution (HR) camera image was used as standard reference material to evaluate the classification accuracy of Spectral Angle Mapper (SAM) and Maximum Likelihood Classifier (MLC) for time series image based on full samples test method. SAM has higher classification accuracy and stability than MLC in dealing with time series image. The accuracy and Kappa of tobacco coverage extracted by SAM are 83.4% and 0.692 respectively, which can achieve the accuracy required by tobacco coverage measurement in a large area.
Document Type期刊论文
First Author Affilication中国科学院地理科学与资源研究所
Recommended Citation
GB/T 7714
MING Tao,SHEN Wei,PENG Guangxiong,et al. remotesensingmonitoringoftobaccofieldbasedonphenologicalcharacteristicsandtimeseriesimageacasestudyofchengjiangcountyyunnanprovincechina[J]. chinesegeographicalscience,2009,019(002):186.
APA MING Tao,SHEN Wei,PENG Guangxiong,DENG Lei,&CUI Weihong.(2009).remotesensingmonitoringoftobaccofieldbasedonphenologicalcharacteristicsandtimeseriesimageacasestudyofchengjiangcountyyunnanprovincechina.chinesegeographicalscience,019(002),186.
MLA MING Tao,et al."remotesensingmonitoringoftobaccofieldbasedonphenologicalcharacteristicsandtimeseriesimageacasestudyofchengjiangcountyyunnanprovincechina".chinesegeographicalscience 019.002(2009):186.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[MING Tao]'s Articles
[SHEN Wei]'s Articles
[PENG Guangxiong]'s Articles
Baidu academic
Similar articles in Baidu academic
[MING Tao]'s Articles
[SHEN Wei]'s Articles
[PENG Guangxiong]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[MING Tao]'s Articles
[SHEN Wei]'s Articles
[PENG Guangxiong]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.