A Method of Identifying Degradation of Ruoergai Wetland in Sichuan

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.