@article{fdi:010092540,
  title = {{E}stimating vegetation structure and aboveground carbon storage in {W}estern {A}ustralia using {GEDI} {L}i{DAR}, {L}andsat and {S}entinel data},
  author = {{L}utz, {N}. and {R}odriguez-{V}eiga, {P}. and {O}liveras {M}enor, {I}mma},
  editor = {},
  language = {{ENG}},
  abstract = {{W}orsening climate change impacts are amplifying the need for accurate estimates of vegetation structure and aboveground biomass density ({AGBD})

to assess changes in biodiversity and carbon storage. {I}n {A}ustralia, increasing wildfire frequency and interest in the role of forests in the

carbon cycle necessitates biomass mapping across large geographic extents to monitor forest change. {T}he availability of spaceborne {L}ight {D}etection

and {R}anging optimised for vegetation structure mapping through the {G}lobal {E}cosystem {D}ynamics {I}nvestigation ({GEDI}) provides an opportunity for large-scale

forest {AGBD} estimates of higher accuracy. {T}his study assessed the use of the {GEDI} canopy height product to predict woody {AGBD} across five vegetation types

in {W}estern {A}ustralia: tall eucalypt forests, eucalypt open woodlands, low-lying heathland, tropical eucalypt savannas, and tussock and hummock grasslands.

{C}anopy height models were developed using random forest regressions trained on {GEDI} canopy height discrete point data. {P}redictor variables included spectral

bands and vegetation indices derived from synthetic aperture radar {S}entinel-1 data, and multispectral {L}andsat and {S}entinel-2 data. {AGBD} was subsequently

estimated using power-law models derived by relating the predicted canopy heights to field {AGBD} plots. {M}apping was conducted for 2020 and 2021. {T}he accuracy

of canopy height predictions varied with height quantiles; models underestimated the height of taller trees and overestimated the height of smaller trees.

{A} similar underestimation and overestimation trend was observed for the {AGBD} estimates. {T}he mean carbon stock was estimated at 69.0 ± 12.0 {M}g{C}ha-1 in the tall

eucalypt forests of the {W}arren region; 33.8 ± 5.0 {M}g{C}ha-1 for the open eucalypt woodlands in the {S}outh {J}arrah region; 7.1 ± 1.4 {M}g{C}ha-1 for the heathland and shrublands

in the {G}eraldton {S}andplains region; 43.9 ± 4.9 {M}g{C}ha-1 for the {K}imberley eucalypt savanna; and 3.9 ± 1.0 {M}g{C}ha-1 for the {K}imberley savanna grasslands.

{T}his approach provides a useful framework for the future development of this process for fire management, and habitat health monitoring.},
  keywords = {{AUSTRALIE}},
  booktitle = {},
  journal = {{E}nvironmental {R}esearch : {E}cology},
  volume = {3},
  numero = {4},
  pages = {045004 [24 ]},
  ISSN = {2752-664{X}},
  year = {2024},
  DOI = {10.1088/2752-664x/ad7f5a},
  URL = {https://www.documentation.ird.fr/hor/fdi:010092540},
}