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Multi-sensors Remote Sensing Technique for Retrieval of Biophysical Parameters and Thematic Mapping of Tropical Forest Plantations • Tropical Forest Plantations (TFP) are established as alternative to traditional Natural Forest (NF) logging for timber sources. TFP is economically profitable through forest management also non-farming or unused land area can be utilised for TFP. • Remote Sensing technique in TFP forestry is advantageous over the costly and timely labour intensive field survey techniques data collection covering huge area. • Current advancement of Remote Sensing technologies and synergistic use of its full potential for retrieval of biophysical parameters and thematic are crucial for sustainable management of TFP. The main aim of this research is to investigate the biological and physical parameters of Acacia Mangium sp. TFP. ▪ To utilised multi-sensors Remote Sensing (X band SAR & Multispectral) for the for Canopy Height Modelling (CHM). ▪ To produce thematic map of TFP useful for sustainable TFP management. ▪ To estimate volumetric biomass, structural scattering using dual and quad polarizations SAR. Stanley Anak Suab (76193024) Supervisor: Dr. Ram Avtar Graduate School of Environmental Science, Hokkaido University Introduction Objectives Study Area Methodology TanDEM-X DSM Workflow ▪ CHM of TFP can be successfully produced from combinations of Tandem-X band through interferometric technique. ▪ The TFP CHM height classes was successfully produced with the combination of information from multispectral and field data. Future plan ▪ To validate CHM results and to integrate Polarimetric SAR outputs also Field data into the statistical analysis. ▪ To produce thematic maps of CHM to age, volume and structural. ▪ To analyse relations factor between biophysical parameters and interpret the results. Findings Profile of estimated Forest CHM Comparison Results TanDEM-X Interferometric processing Digital Surface Model (DSM) Planet Data NDVI Harvested /Non-Forest Forest Stand UAV Data Structure from Motion (SfM) DSM IfSAR Digital Terrain Model (DTM) Raster Subtraction ALOS PALSAR Plantation Boundary Field Inventory & Tree Age Polarimetric SAR Processing Georeferencing IfSAR DSM Canopy Height Model Model Validations Polarimetric SAR Decompositions Filtering Volumetric Structural Radar Vegetation Index (RVI) Thematic Map Statistical Analysis Results GIS Spatial Analysis Forest Canopy Height Model Map • Located between latitude 6° 41' 41.578" N to 7° 0' 28.190" N and Longitude 117° 0' 50.063" E to 117° 15' 41.483" E RGB Decompositions of Full Polarization ALOS PALSAR
