Remote sensing assessment of carbon storage by urban forest

8th International Symposium of the Digital Earth

地球科学;计算机科学

Kanniah, K.D.^1 ; Muhamad, N.^2 ; Kang, C.S.^1

Department of Remote Sensing, Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia, 81310 Johor, Malaysia^1

Universiti Kebangsaan Malaysia, Malaysia^2

关键词: Above ground biomass;    Allometric equations;    Diameter-at-breast heights;    Empirical relationships;    Normalized difference vegetation index;    Regional development;    Urban environments;    Very high resolution;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/18/1/012151/pdf
DOI  :  10.1088/1755-1315/18/1/012151

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Urban forests play a crucial role in mitigating global warming by absorbing excessive CO2emissions 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.