Dynamic of forest landscape pattern based on RS and GIS in Meicheng forest-farm

Author

Huang, Qingfeng ; Wang, Xiaodong ; Lu, Changhua

Author_Institution

Fac. of Forest & Landscape, Anhui Agric. Univ., Hefei, China

fYear

2011

fDate

24-26 June 2011

Firstpage

1

Lastpage

4

Abstract

LandsatETM+ RS images of Meicheng forest-farm of Dongzhi county in Anhui Province in 1999 and 2006 were used as the main data sources, along with the data of forest management inventory, etc. Based on the remote sensing images processed, the forest landscapes were classified and mapped by the method of unsupervised classification. The forest landscape indices were calculated in FRAGSTATS. The dynamic changes of forest landscape were analyzed based on the forest landscape indices. The results shows: the total patch number decreased obviously, and the fragmentation of the forest landscape declined gradually, but pine forest and fir forest were still main parts of landscape patterns. The shape of forest landscape patches were rule and simple. The connection degree of different landscape types was very high. The diversity and evenness of forest landscapes increased little from 1999 to 2006.

Keywords

forestry; geographic information systems; geophysical image processing; geophysical techniques; image classification; remote sensing; AD 1999 to 2006; Anhui Province; China; Dongzhi county; FRAGSTATS; Landsat ETM+ remote sensing images; Meicheng forest-farm; forest landscape pattern; forest management; geographic information system; image processing; patch number; unsupervised classification; Fractals; Geographic Information Systems; Humans; Indexes; Remote sensing; Satellites; Shape; Dynamic change; Forest landscape pattern; Meicheng forest farm; RS and GIS;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoinformatics, 2011 19th International Conference on

Conference_Location

Shanghai

ISSN

2161-024X

Print_ISBN

978-1-61284-849-5

Type

conf

DOI

10.1109/GeoInformatics.2011.5980989

Filename

5980989