Faculty of Geo-Information Science and Earth Observation, University of Twente, 7500 AE Enschede, THE NETHERLANDS.
The research is dealing with estimating carbon sequestration in lowland mixed Dipterocarp forests in Indonesia. The main objective of the research is to increase accuracy estimation of carbon sequestration in tropical rain forest using a generic biophysical model and remote sensing. The specific objectives are:
- To develop allometric equations from the local species.
- To determine the accuracy with which certain important biophysical parameters, i.e. photosynthetically active radiation (PAR), fraction of PAR (FAPAR), water index and temperature can be derived from remote sensing.
- To increase estimation of FAPAR, water index and light use efficiency by characterization of surface heterogeneity and development of spatial scaling algorithms.
- To estimate carbon sequestration from the calculated Net Primary Productivity (NPP) using the improved biophysical parameters, i.e. FAPAR, water index and light use efficiency (LUE).
- To assess the sensitivity of the biophysical parameters, i.e. FAPAR, water index and LUE from the proposed model in the estimation of carbon sequestration.
Estimation of carbon sequestration by forest biomass will be approached using Net Primary Production (NPP). The method has the advantages of employing leaf and canopy photosynthesis measurements which are the underlying components of terrestrial carbon budget. So far, the research has produced allometric equations based on Dipterocarpus, Hopea, Palaquium, Shorea genuses, commercial species and mixed species of Dipterocarp forest. These equations will be used to validate estimation of sequestered carbon using biophysical model and remote sensing.