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Towards global spaceborne lidar biomass: Developing and applying boreal forest biomass models for ICESat-2 laser altimetry data

  • A Neuenschwander
  • , Laura Duncanson
  • , Paul Montesano
  • , David Minor
  • , E Guenther
  • , Steven Hancock
  • , MA Wulder
  • , Joanne C White
  • , Matthew Purslow
  • , Nathan Thomas
  • , A. Mandel
  • , T. Feng
  • , J. Armston
  • , J.R. Kellner
  • , H.E Anderson
  • , L. Boschetti
  • , P. Fekety
  • , A. Hudak
  • , N. Sanchez-Lopez
  • , K. Sterenczak
  • J. Pisek
  • University of Texas at Austin
  • University of Maryland
  • NASA Goddard Space Flight Center, Greenbelt, Maryland
  • University of Edinburgh
  • Development Seed, Washington DC, USA
  • Canadian Forest Service (Pacific Forestry Centre), Natural Resources Canada, Victoria, BC, Canada
  • Brown University
  • USDA Forest Service
  • University of Idaho
  • Colorado State University
  • Forest Research Institute, Poland
  • University of Tartu

Research output: Contribution to journalArticle (journal)peer-review

Abstract

Space-based laser altimetry has revolutionized our capacity to characterize terrestrial ecosystems through the direct observation of vegetation structure and the terrain beneath it. Data from NASA’s ICESat-2 mission provide the first comprehensive look at canopy structure for boreal forests from space-based lidar. The objective of this research was to create ICESat-2 aboveground biomass density (AGBD) models for the global entirety of boreal forests at a 30 m spatial resolution and apply those models to ICESat-2 data from the 2019–2021 period.
Although limited in dense canopy, ICESat-2 is the only space-based laser altimeter capable of mapping vegetation in northern latitudes. Along each ICESat-2 orbit track, ground and vegetation height is captured with additional modeling required to characterize biomass. By implementing a similar methodology of estimating AGBD as GEDI, ICESat-2 AGBD estimates can complement GEDI’s estimates for a full global accounting of aboveground carbon.
Using a suite of field measurements with contemporaneous airborne lidar data over boreal forests, ICESat-2 photons were simulated over many field sites and the impact of two methods of computing relative height (RH) metrics on AGBD at a 30 m along-track spatial resolution were tested; with and without ground photons. AGBD models were developed specifically for ICESat-2 segments having land cover as either Evergreen Needleleaf or Deciduous Broadleaf Trees, whereas a generalized boreal-wide AGBD model was developed for ICESat2 segments whose land cover was neither. Applying our AGBD models to a set of over 19 million ICESat-2 observations yielded a 30 m along-track AGBD product for the pan-boreal. The ability demonstrated herein to
calculate ICESat-2 biomass estimates at a 30 m spatial resolution provides the scientific underpinning for a full, spatially explicit, global accounting of aboveground biomass.
Original languageEnglish
Article number100150
Pages (from-to)1-15
JournalScience of Remote Sensing
Volume10
Early online date16 Jul 2024
DOIs
Publication statusPublished - 16 Jul 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • ICESat-2
  • Biomass density
  • Boreal forest
  • Lidar

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