DocumentCode :
2716144
Title :
Study on Dynamic Change of Regional Landscape Based on RS and GIS
Author :
Zhou, Xin-shao ; Li, Yin ; Li, Chao-kui ; Lu, Yan-yang
Author_Institution :
Clean Use of Coal Resource with Min. Environ. Protection Lab. in Hunan Province, Hunan Univ. of Sci. & Technol., Xiantan, China
fYear :
2012
fDate :
11-13 Aug. 2012
Firstpage :
360
Lastpage :
363
Abstract :
With the TM images in 1990 and 2005 and in the support of RS and GIS techniques, this paper applies the maximum likelihood classification and the Fragstats3.3 calculation software to calculate and analyze 9 landscape indices in three counties, Heng dong County, Hengshan County and Hengyang City. The studies have shown that: 1. For the three studied cities, the reduction of woodland is largest than other lands while the farmland increases most, and the area of average patch of farmland rises most among all the landscape types, 2. For Heng dong County and Hengshan County, PD (patch density) of woodland increases while PD of farmland decreases, and the degree of fragmentation of woodland increases. 3. For Hengyang City, PD gets decreased and the degree of fragmentation of woodland also drops. 4. The degree of fragmentation of farmland and construction land reduced. According to the study, the authors regard that the analysis of landscape index can reveal the spatial structure characteristics of landscape and different conditions of region, so as to provide a new method for ecological zoning of landscape.
Keywords :
geographic information systems; geophysical image processing; image classification; maximum likelihood estimation; terrain mapping; Fragstats3.3 calculation software; GIS; Hengdong County; Hengshan County; Hengyang City; PD; RS; TM images; construction land; dynamic change; ecological zoning; farmland patch; fragmentation degree; geographic information systems; landscape index analysis; maximum likelihood classification; patch density; regional landscape; remote sensing; woodland reduction; Cities and towns; Geographic information systems; Indexes; Large scale integration; Remote sensing; Shape; Software; RS and GIS; TM; dynamic change; landscape; landscape index;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
Type :
conf
DOI :
10.1109/CSSS.2012.97
Filename :
6394335
Link To Document :
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