Once the peatland becomes dry and peat catches fire, it will emit large amounts of carbon dioxide, causing greenhouse warming and climate change. Actions such as appropriate hydrological management and forest management are necessary for the recovery of peatlands. To address this issue, the international community adopted REDD+ which is a mechanism to provide economic incentives to activities to reduce carbon emissions by carbon sequestration. In order to measure the effectiveness of these activities, it becomes necessary to monitor the volume of peat which becomes the source of carbon dioxide emission. In order to studying the possibility of estimating the ground-water level with remote sensing data, possible association between ground-water level water potential of leaves in tropical peat swamp forest is examined and a method of estimating water potential of leaves from hyperspectral sensor data is proposed. Copyright © (2013) by the Asian Association on Remote Sensing.
