Monitoring of forest species composition, stand structure and carbon are key to forest management, especially for assessing conservation value or status or payment for ecosystem services (e.g., REDD+). Traditionally, it has been assessed by field inventory in a periodic basis. However, recent development both in active (LiDAR, SAR) and passive (Worldview 2, IKONOS, Quickbird etc.) remote sensing allow us to monitor monthly or early basis. This study is focusing to figure out the relationship of ecosystem function i.e. carbon sequestration, tree diversity and functional trait diversity in Sundarbans Reserved forest Bangladesh using high resolution imagery mainly TanDEM-X and WorldView 2. Findings of this study will contribute to National Forest Inventory and Monitoring Systems of the People Republic of Bangladesh as well as the global mangrove forest management.
About the Speaker
Mizanur Rahman is a PhD candidate at the Laboratory of Forest Resources and Society of Kyoto University, Japan, and SilvaCarbon Bangladesh program’s NASA Fellow in 2016. He has 6 years of professional experience on several research projects in Bangladesh including forest carbon inventory, biodiversity, climate change, remote sensing and GIS which were implemented by the Bangladesh Forest Department, Khulna University, Sher-e-Bangla Agricultural University, Indiana University, USA, and the Center for Environmental and Geographic Information Services (CEGIS). Mizanur’s research is mainly concentrated in mangrove ecosystems such as Sundarbans Reserved Forest, deforested Chakaria Sundarbans Reserved Forest and coastal mangroves; he has also conducted research on carbon, tree diversity, stand structure and species composition in roadside forest and home gardens. He holds Bachelor and Master degrees in Forestry from Khulna University in Bangladesh.