DocumentCode :
144061
Title :
China land cover monitoring in mountainous regions by remote sensing technology — Taking the Southwestern China as a case
Author :
Ainong Li ; Guangbin Lei ; Zhengjian Zhang ; Jinhu Bian ; Wei Deng
Author_Institution :
Inst. of Mountain Hazards & Environ., Chengdu, China
fYear :
2014
fDate :
13-18 July 2014
Firstpage :
4216
Lastpage :
4219
Abstract :
Land cover products are the important background for scientific researches. There are several land cover data sets at regional or global scales. However, in the Southwestern China where are the typical mountainous regions, it is usually more difficult to map land cover products because of the high proportion of complex terrain area, conspicuous landscape heterogeneity and difficult image acquisition and preprocessing. Supported by Land Cover Monitoring Project (CLCP) funded by Chinese Academy of Sciences, land cover product of Southwestern China in 2010 was mapped through an object-oriented method combined with the decision tree rules, and the land cover products in 2000 and 2005 were obtained by the change detection. The validation shows that the overall accuracies of the primary and secondary classes reach 95.09% and 90.34% respectively. Taking Sichuan province and Tibet autonomous region as case, the CLCP product analysis indicates that a total of 14,580 km2 and 8,174 km2 area, accounting for 3.04% and 0.68% of the region respectively, had changed in the last 20 years. The main driving forces including climate change, human activities and natural disasters are also discussed.
Keywords :
climatology; decision trees; disasters; environmental monitoring (geophysics); land cover; object-oriented methods; terrain mapping; AD 2000; AD 2005; AD 2010; CLCP product analysis; China land cover monitoring; Chinese Academy of Sciences; Land Cover Monitoring Project; Sichuan province; Southwestern China; Tibet autonomous region; change detection; climate change; complex terrain area; conspicuous landscape heterogeneity; decision tree rules; human activities; image acquisition; image preprocessing; land cover data set; land cover products; mountainous regions; natural disasters; object-oriented method; remote sensing technology; Accuracy; Carbon dioxide; Decision trees; Graphical models; Land surface temperature; Meteorology; Remote sensing; Southwestern China; land cover; mountainous regions; multi-feature-based change detection; object-oriented classification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
Type :
conf
DOI :
10.1109/IGARSS.2014.6947418
Filename :
6947418
Link To Document :
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