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HxGN LIVE 2017

3010 - Innovating the Use of LiDAR for Estimating Biomass of Urban Forests in Milan, Italy (EDU Contest Winner)

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Session Description

The EDU Contest winner: Vincenzo Giannico (PhD Student) and his Advisor Prof. Raffaele Lafortezza from the University of Bari, Italy, in cooperation with Michigan State University, for their research in biomass estimation in urban areas from LiDAR. This group of researchers developed an innovative methodology for the biomass estimation in urban areas from LiDAR (laser scanner) data and the results were published in the Remote Sensing (April 2016) magazine. The study was made over an urban forest plantation located in the metropolitan area of Milan, Northern Italy: Parco Nord Milano. The analysis processes were conducted using Hexagon Geospatial software. The methodology developed includes two main steps: data production and modeling. LiDAR classification, orthorectification of multispectral imagery, DTM extraction, and quality control were some of the functionalities used in ERDAS IMAGINE. Statistics from the results of ERDAS IMAGINE were used in conjunction with statistical analysis open source software to derive the results. Through the development of ad hoc mathematical models, it was possible to estimate the amount of biomass present in the study area. This study has great potential for future applications in the estimation of carbon sinks in urban areas.

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45 minutes
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