Estimation Of Doc/Cdom Concentration In Peat Water Using Airborne Hymap Data

Dissolved organic carbon (DOC) is the most significant form of fluvial carbon export and thus the estimation of DOC in peat water is important for the carbon account in peatland ecosystem. Since the concentration of DOC is highly related to the concentration of colored dissolved organicmatter (CDOM), DOC can be estimated through CDOM. Remote sensing has been used to measure CDOM over large geographic region. For example, multi-spectral satellite images were applied for DOC measurement in lakes and caves (Kutser et al., 2005; Birdwell, et al., 2010). Hyper-spectral remote sensing images have the characteristics of observing ground surfacethrough many continuous, contiguous and narrow spectral bands, providing detailed spectral information of objects. For this research, we acquired airborne Hymap image data and collected peat water samples for the observed peat water system. We analyzed DOC concentration and CDOM absorption at various wavelengths in the lab and applied linear regression analysis to thelab analysis results. Similarly, we correlated the CDOM absorption data and Hymap spectral data and estimated DOC concentration in the peat water system based on the above two correlations and the ground measurement data for water depth. Proceedings of 3rd International Workshop on Wild Fire and Carbon Management in Peat-Forest in Indonesia 2011 page 239