Study on Extraction of Coastal Wetland Using ETM+ and Landscape Change

Author

Zhang Huabing ; Liu Hongyu ; Xue Xingyu

Author_Institution

Coll. of Geogr., Nanjing Normal Univ., Nanjing, China

fYear

2012

fDate

1-3 June 2012

Firstpage

1

Lastpage

4

Abstract

The essay taked the core area of Yancheng Natural Reserve as the case to extract information of coastal wetland from the ETM⁺ Remote Sensing Images of the year 2006 and 2011 by the methods of unsupervised classification and Decision Tree classification as well as using ecological knowledge and GIS rules to improve the classification precision. Through analyzing the landscape changes of the classification images of the two years, it fund out that 12.32% of Beach have turned to Spartina marshes and 22.47% of Suaeda swamp have turned to Reed swamp, with another 21.92% turned to Spartina marshes, as a result, the diversity index and the average fractal dimension have decreased.

Keywords

decision trees; ecology; fractals; geographic information systems; geophysical image processing; hydrological techniques; image classification; remote sensing; AD 2006 to 2011; China; ETM⁺ remote sensing images; GIS; Reed swamp; Spartina marshes; Suaeda swamp; Yancheng Natural Reserve; average fractal dimension; beach region; coastal wetland extraction; decision tree classification; diversity index; image classification; landscape change analysis; unsupervised classification methods; Decision trees; Feature extraction; Humans; Indexes; Rivers; Sea measurements; Vegetation mapping;

fLanguage

English

Publisher

ieee

Conference_Titel

Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4673-0872-4

Type

conf

DOI

10.1109/RSETE.2012.6260744

Filename

6260744