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Estimating the Carbon Storage Capacity of Hong Kong’s Vegetation using PALSAR

Latifur Sarker(1) and Janet Nichol(1)

(1) The Hong Kong Polytechnic University, Kowloon, Hong Kong, China

Abstract

Estimating the Carbon Storage Capacity of Hong Kong’s Vegetation using PALSAR

Abstract: SAR data has been shown to be a potential source for biomass estimation, and it may thus be used to estimate the carbon storage capacity of vegetation. With ALOS PALSAR, biomass estimation from SAR sensors has gained a new dimension as this sensor provides single, dual and quad polarization SAR data, and has higher spatial resolution than most other SAR sensors available. This research investigates the potential of L-band Phase Array Synthetic Aperture Radar (PALSAR) to estimate the carbon storage capacity of Hong Kong’s vegetation using single (L-HH) and dual polarization (L-HH and L-HV) data with respect to different types of image processing techniques. Field data (DBH and Height) was collected from 60 forest plots in the Hong Kong and converted into biomass using a newly developed allometric model based on the dominant tree species of Hong Kong’s vegetation. The field biomass was then integrated with radar backscattering signatures derived from various image processing techniques using different types of modeling approaches. Results indicated that the PALSAR data has potential to estimate biomass and potentiality of dual polarization (L-HH and L-HV) data much better than single polarization (L-HH) data. Moreover, the ratio of L-HH/L-HV bands is more effective for biomass prediction than any single combination (e.g., L-HH or L-HV). This research is still in progress and more investigation will be conducted using more image processing techniques and with the fusion of other SAR (such as Radarsat-2) and optical sensors (such as AVNIR-2, Landsat TM) and hopefully more promising results will be found in the near future. Keywords: Biomass, PALSAR, and Carbon storage capacity

 

 

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