@article{fdi:010070838,
  title = {{E}stimation of above ground biomass using texture metrics derived from irs cartosat-1 panchromatic data in evergreen forests of {W}estern {G}hats, {I}ndia},
  author = {{R}eddy, {R}. {S}. and {R}ajashekar, {G}. and {J}ha, {C}. {S}. and {D}adhwal, {V}. {K}. and {P}{\'e}lissier, {R}apha{\¨e}l and {C}outeron, {P}ierre},
  editor = {},
  language = {{ENG}},
  abstract = {{A}ssessment 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. {S}everal 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. {H}owever, these methods lacked the predictive ability at high biomass ranges due to saturation. {T}he current study addresses the problem of saturation at high biomass ranges using canopy textural metric from high resolution optical data. {F}ourier transform based textural ordination ({FOTO}) technique, which involves deriving radial spectrum information via 2{D} fast {F}ourier transform and ordination through principal component analysis was used for characterizing the textural properties of forest canopies. {I}n 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 {C}artosat-1). {I}n 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} {C}artosat data ({C}artosat-{A}, viewing angle = -5{A} degrees) to that of {IKONOS} imagery with near nadir view. {F}urther, since texture is impacted by several illumination geometry issues, the effect of viewing geometry on the relationship was evaluated using {C}artosat-{F} ({V}iewing angle = 26{A} degrees) imagery. {T}he results show that the {FOTO} method using stereo {C}artosat ({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 = {{A}bove ground biomass ; {C}anopy texture ; {F}ourier transform ; {IRS} {C}artosat ; {W}estern {G}hats ; {INDE} ; {GHATS} {OUEST} ; {ZONE} {TROPICALE}},
  booktitle = {},
  journal = {{J}ournal of the {I}ndian {S}ociety of {R}emote {S}ensing},
  volume = {45},
  numero = {4},
  pages = {657--665},
  ISSN = {0255-660{X}},
  year = {2017},
  DOI = {10.1007/s12524-016-0630-1},
  URL = {https://www.documentation.ird.fr/hor/fdi:010070838},
}