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Remote sensing assessment of carbon storage by urban forest

Kanniah, Kasturi Devi and Kang, Chuen Siang and Muhamad, Norhamidi A. (2014) Remote sensing assessment of carbon storage by urban forest. 8th International Symposium of the Digital Earth (ISDE8), 18 (1). ISSN 1755-1315

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Official URL: http://dx.doi.org/10.1088/1755-1315/18/1/012151

Abstract

Urban forests play a crucial role in mitigating global warming by absorbing excessive CO2 emissions due to transportation, industry and house hold activities in the urban environment. In this study we have assessed the role of trees in an urban forest, (Mutiara Rini) located within the Iskandar Development region in south Johor, Malaysia. We first estimated the above ground biomass/carbon stock of the trees using allometric equations and biometric data (diameter at breast height of trees) collected in the field. We used remotely sensed vegetation indices (VI) to develop an empirical relationship between VI and carbon stock. We used five different VIs derived from a very high resolution World View-2 satellite data. Results show that model by [1] and Normalized Difference Vegetation Index are correlated well (R2 = 0.72) via a power model. We applied the model to the entire study area to obtain carbon stock of urban forest. The average carbon stock in the urban forest (mostly consisting of Dipterocarp species) is ∼70 t C ha-1. Results of this study can be used by the Iskandar Regional Development Authority to better manage vegetation in the urban environment to establish a low carbon city in this region.

Item Type:Article
Uncontrolled Keywords:biometrics, carbon
Subjects:H Social Sciences > HD Industries. Land use. Labor
Divisions:Geoinformation and Real Estate
ID Code:62435
Deposited By: Widya Wahid
Deposited On:14 Jun 2017 09:38
Last Modified:14 Jun 2017 09:38

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