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Proceedings Paper

Demand-based urban forest planning using high-resolution remote sensing and AHP
Author(s): Srinivasa Raju Kolanuvada; Muneeswaran Mariappan; Vani Krishnan
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Paper Abstract

Urban forest planning is important for providing better urban ecosystem services and conserve the natural carbon sinks inside the urban area. In this study, a demand based urban forest plan was developed for Chennai city by using Analytical Hierarchy Process (AHP) method. Population density, Tree cover, Air quality index and Carbon stocks are the parameters were considered in this study. Tree cover and Above Ground Biomass (AGB) layers were prepared at a resolution of 1m from airborne LiDAR and aerial photos. The ranks and weights are assigned by the spatial priority using AHP. The results show that, the actual status of the urban forest is not adequate to provide ecosystem services on spatial priority. From this perspective, we prepared a demand based plan for improving the urban ecosystem.

Paper Details

Date Published: 5 May 2016
PDF: 12 pages
Proc. SPIE 9879, Lidar Remote Sensing for Environmental Monitoring XV, 98790P (5 May 2016); doi: 10.1117/12.2223832
Show Author Affiliations
Srinivasa Raju Kolanuvada, Anna Univ. (India)
Muneeswaran Mariappan, Ashoka Trust for Research in Ecology and the Environment (India)
Vani Krishnan, Anna Univ. (India)

Published in SPIE Proceedings Vol. 9879:
Lidar Remote Sensing for Environmental Monitoring XV
Upendra N. Singh; Nobuo Sugimoto; Achuthan Jayaraman; Mullapudi V. R. Seshasai, Editor(s)

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