DocumentCode
2458056
Title
Extraction of land cover information based on decision tree method: A case of Wuxi and Changzhou city, China
Author
Fu, Yu ; Wei, Yuchun ; Cheng, Chunmei ; Zhou, Yu ; Wang, Lei
Author_Institution
Key Lab. of Virtual Geographic Environ., Nanjing Normal Univ., Nanjing, China
fYear
2011
fDate
24-26 June 2011
Firstpage
4054
Lastpage
4057
Abstract
Based on the Landsat-5 TM image of May, 4 and January, 12 in 1997, this paper extracts the land cover information in Wuxi and Changzhou city which is belong to the heavily polluted area of Taihu Lake, China. Firstly, the paper collected and analyzed the spectral characteristics of main land cover type, and then determined the main indexes used in decision tree combining with the characteristics of topography. The main indexes are MNDWI, NDVI, NDBI-NDVI, TM1+TM2, TM5-TM4, TM2+TM3, K-T transformation, and slope. This paper shows that the overall accuracy of main land cover types reaches 85.21%. The area proportion of dry farm, tea plantation, waters, garden, paddy field, forest, construction land and other land is 7%, 1%, 24%, 1%, 34%, 7% 17% and 9%, respectively. The relative high error occurred in between garden and forest because their similar spectral and growth characteristics.
Keywords
geographic information systems; lakes; terrain mapping; topography (Earth); vegetation; vegetation mapping; AD 1997 01 12; AD 1997 05 04; Changzhou City; China; K-T transformation; Landsat-5 TM image; MNDWI index; NDBI-NDVI index; TM1+TM2 index; TM2+TM3 index; TM5-TM4 index; Taihu Lake; Wuxi City; construction land; decision tree method; dry farm; growth characteristics; heavily polluted area; land cover information; paddy field; spectral characteristics; tea plantation; topography characteristics; Data mining; Decision trees; Indexes; Nickel; Remote sensing; Satellites; Support vector machines; K-T transformation; TM; decision tree; land cover; spectral characteristics;
fLanguage
English
Publisher
ieee
Conference_Titel
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-9172-8
Type
conf
DOI
10.1109/RSETE.2011.5965210
Filename
5965210
Link To Document