Paper Info
Title
A Method of Identifying Degradation of Ruoergai Wetland in Sichuan
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.
Year
DOI
Venue
2008
10.1109/IGARSS.2008.4779864
IGARSS
Keywords
Field
DocType
degradation,soil data,geophysical techniques,topography,remote sensing,ruoergai,sichuan,wetland,geomorphology,spectral confusion,wetland classification,wetland resources,topography (earth),ruoergai wetland,elevation,image classification,geophysical signal processing,environmental factors,wetland degradation,landsat etm+,landsat tm,soil,multitemporal monitoring,satellite remote sensing,biodiversity,remote monitoring,information science,earth,ecosystems,surfaces,change detection,data mining,satellites
Ancillary data,Change detection,Computer science,Hydrology,Remote sensing,Wetland,Wetland classification,Elevation,Cluster analysis,Contextual image classification,Ecosystem
Conference
Volume
ISBN
Citations 
4
978-1-4244-2808-3
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Wenbo Xu177.75
Antao Xie200.34
Jianxi Huang31013.31
Bo Huang400.34