Estimation of Above Ground Biomass Using Texture Metrics Derived from IRS Cartosat-1 Panchromatic Data in Evergreen Fore
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RESEARCH ARTICLE
Estimation of Above Ground Biomass Using Texture Metrics Derived from IRS Cartosat-1 Panchromatic Data in Evergreen Forests of Western Ghats, India R. Suraj Reddy1 • G. Rajashekar1 • C. S. Jha1 • V. K. Dadhwal1 • Raphel Pelissier2 Pierre Couteron2
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Received: 21 March 2016 / Accepted: 20 September 2016 Ó Indian Society of Remote Sensing 2016
Abstract Assessment of above ground forest biomass (AGB) is essential in carbon modelling studies to provide mitigation strategies as demonstrated by reducing emissions from deforestation and forest degradation. Several researchers have demonstrated the use of remote sensing data in spatial AGB estimation, in terms of spectral and radar backscatter based approaches at a landscape scale with several known limitations. However, these methods lacked the predictive ability at high biomass ranges due to saturation. The current study addresses the problem of saturation at high biomass ranges using canopy textural metric from high resolution optical data. Fourier transform based textural ordination (FOTO) technique, which involves deriving radial spectrum information via 2D fast Fourier transform and ordination through principal component analysis was used for characterizing the textural properties of forest canopies. In the current study, plot level estimated AGB from 15 (1 ha) plots was used to relate with texture derived information from very high resolution datasets (viz., IKONOS and Cartosat-1). In addition to the estimation of high biomass ranges, one of the prime objective of the current study is to understand the effects of spatial resolution on deriving textural-AGB relationship from 2.5 m IRS Cartosat data (Cartosat-A, viewing angle = -5°) to that of IKONOS imagery with near nadir view. Further, since texture is impacted by several illumination geometry issues, the effect of viewing geometry on & R. Suraj Reddy [email protected] 1
National Remote Sensing Centre (ISRO), Balanagar, Hyderabad 500037, Telangana, India
2
Institut de Recherche pour le De´veloppement, UMR-AMAP, Montpellier, France
the relationship was evaluated using Cartosat-F (Viewing angle = 26°) imagery. The results show that the FOTO method using stereo Cartosat (A and F) images at 2.5 m resolution are able to perform well in characterizing high AGB values since the texture-biomass relationship is only subjected to 18 % relative error to that of 15 % in case of IKONOS and could aid in reduction of uncertainty in AGB estimation at a large landscape levels. Keywords Above ground biomass Canopy texture Fourier transform IRS Cartosat Western Ghats
Introduction Forests play a critical role in global carbon cycle as carbon sinks of the terrestrial ecosystem. Tropical forests store over 40 % of the terrestrial carbon (Dixon et al. 1994), majorly as above ground biomass (hereafter referred as AGB or biomass). Quantification of forest spatial biomass is essential in understanding carbon cycle, and climate change studies (Beer et al. 2010) as well as for assessing the forest produ
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