DocumentCode :
2693366
Title :
A Method of Identifying Degradation of Ruoergai Wetland in Sichuan
Author :
Xu, Wenbo ; Xie, Antao ; Huang, Jianxi ; Huang, Bo
Author_Institution :
Inst. of Geo-Spatial Inf. Sci. & Technol., Univ. of Electron. Sci. & Technol. of China, Chengdu
Volume :
4
fYear :
2008
fDate :
7-11 July 2008
Abstract :
It is important to inventory and monitor wetlands and their adjacent environment. People can´t go to somewhere of wetlands. Satellite remote sensing has several advantages for monitoring wetland resources, especially for large geographic areas and no man´s land This paper uses multi-temporal Landsat TM and ETM+ data to study the degradation of wetlands. The simple method to classify wetlands is unsupervised classification or clustering. Wetland classification is difficult because of spectral confusion with other landcover classes and among different types of wetlands. However, multi-temporal remote sensing data and ancillary data such as soil data, elevation or topography data usually improves the classification of wetlands. Change detection studies have taken advantage of the repeat coverage and archival data available with satellite remote sensing. The result of multi-temporal monitoring indicates the degradation of Ruoergai Wetland.
Keywords :
environmental factors; geomorphology; geophysical signal processing; geophysical techniques; image classification; remote sensing; soil; topography (Earth); Landsat ETM+; Landsat TM; Ruoergai Wetland; Sichuan; elevation; multitemporal monitoring; satellite remote sensing; soil data; spectral confusion; topography; wetland classification; wetland degradation; wetland resources; Biodiversity; Degradation; Ecosystems; Information science; Remote monitoring; Remote sensing; Satellites; Soil; Surfaces; Water storage; Degradation; Ruoergai; Wetland;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
Type :
conf
DOI :
10.1109/IGARSS.2008.4779864
Filename :
4779864
Link To Document :
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