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Reddy R. S., Rajashekar G., Jha C. S., Dadhwal V. K., Pélissier Raphaël, Couteron Pierre. (2017). Estimation of above ground biomass using texture metrics derived from irs cartosat-1 panchromatic data in evergreen forests of Western Ghats, India. Journal of the Indian Society of Remote Sensing, 45 (4), 657-665. ISSN 0255-660X

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Lien direct chez l'éditeur doi:10.1007/s12524-016-0630-1

Titre
Estimation of above ground biomass using texture metrics derived from irs cartosat-1 panchromatic data in evergreen forests of Western Ghats, India
Année de publication2017
Type de documentArticle référencé dans le Web of Science WOS:000406359500009
AuteursReddy R. S., Rajashekar G., Jha C. S., Dadhwal V. K., Pélissier Raphaël, Couteron Pierre.
SourceJournal of the Indian Society of Remote Sensing, 2017, 45 (4), p. 657-665. ISSN 0255-660X
RésuméAssessment 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 = -5A degrees) 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 the relationship was evaluated using Cartosat-F (Viewing angle = 26A degrees) 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.
Plan de classementEtudes, transformation, conservation du milieu naturel [082] ; Télédétection [126]
Descr. géo.INDE ; GHATS OUEST ; ZONE TROPICALE
LocalisationFonds IRD [F B010070838]
Identifiant IRDfdi:010070838
Lien permanenthttp://www.documentation.ird.fr/hor/fdi:010070838

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