Empirical relationships between AIRSAR backscatter and LiDAR-derived forest biomass, Queensland, Australia

dc.contributor.authorLucas, R M
dc.contributor.authorCronin , Natasha
dc.contributor.authorLee, Alex
dc.contributor.authorMoghaddam, Mahta
dc.contributor.authorWitte , C
dc.contributor.authorTickle , P.K.
dc.date.accessioned2015-12-08T22:08:21Z
dc.date.issued2006
dc.date.updated2015-12-08T07:16:53Z
dc.description.abstractTo evaluate the use of multi-frequency, polarimetric Synthetic Aperture Radar (SAR) data for quantifying the above ground biomass (AGB) of open forests and woodlands, NASA JPL AIRSAR (POLSAR) data were acquired over a 37 x 60 km area west of Injune, central Queensland, Australia. From field measurements recorded within 32 50 x 50 m plots, AGB was estimated by applying species-specific allometric equations to stand measurements. AGB was then scaled-up to the larger area using relationships established with Light Detection and Ranging (LiDAR) data acquired over 150 (10 columns, 15 rows) 500 x 150 m cells (or Primary Sampling Units, PSUs) spaced 4 x 4 km apart in the north- and east-west directions. Large-scale (1 : 4000) stereo aerial photographs were also acquired for each PSU to assess species composition. Based on the LiDAR extrapolations, the median AGB for the PSU grid was 82 Mg ha- 1 (maximum 164 Mg ha- 1), with the higher levels associated with forests containing a high proportion of Angophora and Callitris species. Empirical relationships between AGB and SAR backscatter confirmed that C-, L- and P-band saturated at different levels and revealed a greater strength in the relationship at higher incidence angles and a larger dynamic range and consistency of relationships at HV polarizations. A higher level of saturation (above ∼50 Mg ha- 1) was observed at C-band HV compared to that reported for closed forests which was attributable to a link between foliage projected cover (FPC) and AGB. The study concludes that L-band HV backscatter data acquired at incidence angles approaching or exceeding 45° are best suited for estimating the AGB up to the saturation level of ∼80-85 Mg ha- 1. For regional mapping of biomass below the level of saturation, the use of the Japanese Space Exploration Agency (JAXA) Advanced Land Observing Satellite (ALOS) Phase Arrayed L-band SAR (PALSAR) is advocated.
dc.identifier.issn0034-4257
dc.identifier.urihttp://hdl.handle.net/1885/28581
dc.publisherElsevier
dc.sourceRemote Sensing of Environment
dc.subjectKeywords: Extrapolation; Forestry; Mapping; Polarization; Synthetic aperture radar; Above ground biomass (AGB); Forests; Incidence angle; Saturation; Biomass; biomass; lidar; remote sensing; synthetic aperture radar; vegetation mapping; Biomass; Forestry; Australas Biomass; Forests; Incidence angle; Polarization; Saturation; Synthetic aperture radar
dc.titleEmpirical relationships between AIRSAR backscatter and LiDAR-derived forest biomass, Queensland, Australia
dc.typeJournal article
local.bibliographicCitation.lastpage25
local.bibliographicCitation.startpage407
local.contributor.affiliationLucas, R M, University of Wales
local.contributor.affiliationCronin , Natasha, QLD Department of Natural Resources Mines and Energy
local.contributor.affiliationLee, Alex, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationMoghaddam, Mahta, University of Michigan
local.contributor.affiliationWitte , C, QLD Department of Natural Resources and Mines
local.contributor.affiliationTickle , P.K., Geoscience Australia
local.contributor.authoremailrepository.admin@anu.edu.au
local.contributor.authoruidLee, Alex, u2521742
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor070504 - Forestry Management and Environment
local.identifier.ariespublicationU1408929xPUB59
local.identifier.citationvolume100
local.identifier.doi10.1016/j.rse.2005.10.019
local.identifier.scopusID2-s2.0-31344454624
local.identifier.uidSubmittedByU1408929
local.type.statusPublished Version

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