The Tibetan Plateau (TP) is identified as a global climate change hotspot due to its relevance for the Asian monsoon circulation system. Glacial melt and receding permafrost indicate significant changes within this climate system. Spatio-temporal information is required to gain a better understanding of the interactions of system components and ongoing processes. By numerous studies, Earth Observation data analysis has been shown as being a suitable tool which enables to monitor mid- and long-term environmental changes. A new object oriented classification approach which is based on synergies between the optical remote sensing products and SAR data was developed for automatic and seasonal-adaptive extraction of parameters for wetland area derivation and characterization. It was shown that the derived parameters are important indicators for environmental change analyses. The developed method is appropriate to monitor wetland responses with high temporal and spatial resolution according to climate change and human impacts within large regions like the TP.