DocumentCode :
124592
Title :
Multi-scale analysis of landscape pattern of Hunan Province
Author :
Lili Yin ; Hao Chen ; Wei Li
Author_Institution :
Nat.-Local Joint Eng. Lab. of Geo-Spatial Inf. Technol., Xiangtan, China
fYear :
2014
fDate :
11-14 June 2014
Firstpage :
309
Lastpage :
313
Abstract :
Quantitative analysis of landscape pattern is one important study of landscape ecology, and landscape indexes are simple and quantitative indicators, which highly concentrate landscape pattern information such as composition and spatial configuration. Moreover, the effect of scale is a problem when analyzed and evaluated landscape pattern. Only chose the appropriate scale, can we make the correct analysis and evaluation for landscape pattern. This study takes Hunan Province as the study area. Based on the land use map of Hunan province and the landscape pattern GIS analysis software, we calculated a series of landscape indexes on 17 landscape scales, and tried to reveal how the change of scale impact on landscape pattern and how to choose the appropriate scale for the study area. The results show that landscape indexes are depended on the change of scale. The relationship between landscape indexes and scales can be divided into three categories: monotonically decreasing, monotonically increasing or unimodal changes and irregular changes. In this study, the graph of landscape indexes have multiple inflection points with different scales, and these different landscape indexes have different effects. Considered two important factors: landscape feature information of the study area and the workload in the analysis process, we finally concluded that the suitable scale of landscape pattern analysis is 90m in our study area.
Keywords :
ecology; geographic information systems; land use; Hunan Province landscape pattern multiscale analysis; analysis process workload; composition configuration; correct landscape pattern analysis; highly concentrate landscape pattern information; irregular change category; land use map; landscape ecology; landscape feature information; landscape index graph; landscape index series; landscape pattern GIS analysis software; landscape pattern analysis scale; landscape pattern evaluation; landscape pattern quantitative analysis; landscape pattern scale impact change; landscape scale; monotonically decreasing category; monotonically increasing category; multiple inflection point; problem scale effect; quantitative indicator; simple indicator; spatial configuration; unimodal change category; Environmental factors; Indexes; Market research; Pattern analysis; Remote sensing; Rivers; Shape; Fragstats3.4; Landscape analysis; landscape indexes; scale effect;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Earth Observation and Remote Sensing Applications (EORSA), 2014 3rd International Workshop on
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-5757-6
Type :
conf
DOI :
10.1109/EORSA.2014.6927901
Filename :
6927901
Link To Document :
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