Measurements of Forest Biomass Change Using P-Band Synthetic Aperture Radar Backscatter

Sandberg, Gustaf; Ulander, Lars M. H.; Wallerman, Jörgen; Fransson, Johan E. S.

doi:10.1109/tgrs.2013.2294684

Cited by 22 publications

(19 citation statements)

References 31 publications

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“…This study extends the work of Sandberg et al (2014), who analyzed the P-band data from the BioSAR 2007 and BioSAR 2010 campaigns, but omitted the L-band data from the analysis. While the coming BIOMASS mission will operate in P-band, in light of both the scarcity of available P-band data over Europe, and North and Central America in the present and foreseeable future, following the restrictions imposed by the US Department of Defense (Carreiras et al 2017), and the present and planned L-band missions including ALOS-2, ALOS-4, NISAR, ROSE-L, and SAOCOM (The CEOS database: Missions, instruments, measurements and datasets 2020), it was of interest to expand the analysis to include the L-band data from the same campaigns.…”

Section: Introductionmentioning

confidence: 62%

Predictions of Biomass Change in a Hemi-Boreal Forest Based on Multi-Polarization L- and P-Band SAR Backscatter

Huuva

Persson

Soja

et al. 2020

Canadian Journal of Remote Sensing

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Section: Introductionmentioning

confidence: 62%

Predictions of Biomass Change in a Hemi-Boreal Forest Based on Multi-Polarization L- and P-Band SAR Backscatter

Huuva

Persson

Soja

et al. 2020

Canadian Journal of Remote Sensing

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“…However, more recent unpublished analysis including the BIOSAR-3 data indicates that further coefficients are needed to achieve adequate accuracy. Another study for Remningstorp (Sandberg et al, 2014) found that AGB change could be estimated more accurately than AGB itself: analysis based on 2007 and 2010 data gave a RMSE of 20 t/ha in the estimated biomass change, i.e. roughly half the RMSEs of the individual AGB estimates.…”

Section: Forest Agb and Height Estimation Techniquesmentioning

confidence: 99%

The European Space Agency BIOMASS mission: Measuring forest above-ground biomass from space

Quegan

Toan

Chave

et al. 2019

Remote Sensing of Environment

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The primary objective of the European Space Agency's 7 th Earth Explorer mission, BIOMASS, is to determine the worldwide distribution of forest above-ground biomass (AGB) in order to reduce the major uncertainties in calculations of carbon stocks and fluxes associated with the terrestrial biosphere, including carbon fluxes associated with Land Use Change, forest degradation and forest regrowth. To meet this objective it will carry, for the first time in space, a fully polarimetric P-band synthetic aperture radar (SAR). Three main products will be provided: global maps of both AGB and forest height, with a spatial resolution of 200 m, and maps of severe forest disturbance at 50 m resolution (where "global" is to be understood as subject to Space Object tracking radar restrictions). After launch in 2022, there will be a 3-month commissioning phase, followed by a 14-month phase during which there will be global coverage by SAR tomography. In the succeeding interferometric phase, global polarimetric interferometry Pol-InSAR coverage will be achieved every 7 months up to the end of the 5-year mission. Both Pol-InSAR and TomoSAR will be used to eliminate scattering from the ground (both direct and double bounce backscatter) in forests. In dense tropical forests AGB can then be estimated from the remaining volume scattering using non-linear inversion of a backscattering model. Airborne campaigns in the tropics also indicate that AGB is highly correlated with the backscatter from around 30 m above the ground, as measured by tomography. In contrast, double bounce scattering appears to carry important information about the AGB of boreal forests, so ground cancellation may not be appropriate and the best approach for such forests remains to be finalized. Several methods to exploit these new data in carbon cycle calculations have already been demonstrated. In addition, major mutual gains will be made by combining BIOMASS data with data from other missions that will measure forest biomass, structure, height and change, including the NASA Global Ecosystem Dynamics Investigation lidar deployed on the International Space Station after its launch in December 2018, and the NASA-ISRO NISAR Land S-band SAR, due for launch in 2022. More generally, space-based measurements of biomass are a core component of a carbon cycle observation and modelling strategy developed by the Group on Earth Observations. Secondary objectives of the mission include imaging of sub-surface geological structures in arid environments, generation of a true Digital Terrain Model without biases caused by forest cover, and measurement of glacier and icesheet velocities. In addition, the operations Here Eff denotes fossil fuel emissions; Elb is net land biospheric emissions, comprising both Land Use 94 Change and ecosystem dynamics, and including alterations to biomass stocks linked to process 95 responses to climate change, nitrogen deposition and rising atmospheric CO2; ΔCatmos is the change in 96 atmospheric CO2; and Uland and Uocean are net average uptake by t...

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“…Conventional approaches to estimating the net carbon balance of tropical forests rely on satellite-based estimates of forest area change between two time periods combined with information on biomass density (1,7,(9)(10)(11)(12)(13). Alternative strategies based on a range of active (14)(15)(16)(17)(18)(19)(20) and passive (21) remote-sensing techniques have also been advanced; however, the majority of these are limited in terms of geographic scope, spatial resolution and/or data availability. Although all approaches are designed to capture losses in biomass due to landuse change (i.e., wholesale forest clearing or deforestation), most are limited in their sensitivity to forest degradation (e.g., selective logging and/or disturbance in forest that remains forest), which can account for additional biomass losses on the order of 47 to 75% of deforestation (22,23).…”

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confidence: 99%

Tropical forests are a net carbon source based on aboveground measurements of gain and loss

Baccini

Walker

Carvalho

et al. 2017

Science

692

536

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The carbon balance of tropical ecosystems remains uncertain, with top-down atmospheric studies suggesting an overall sink and bottom-up ecological approaches indicating a modest net source. Here we use 12 years (2003 to 2014) of MODIS pantropical satellite data to quantify net annual changes in the aboveground carbon density of tropical woody live vegetation, providing direct, measurement-based evidence that the world's tropical forests are a net carbon source of 425.2 ± 92.0 teragrams of carbon per year (Tg C year). This net release of carbon consists of losses of 861.7 ± 80.2 Tg C year and gains of 436.5 ± 31.0 Tg C year Gains result from forest growth; losses result from deforestation and from reductions in carbon density within standing forests (degradation or disturbance), with the latter accounting for 68.9% of overall losses.

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Measurements of Forest Biomass Change Using P-Band Synthetic Aperture Radar Backscatter

Cited by 22 publications

References 31 publications

Predictions of Biomass Change in a Hemi-Boreal Forest Based on Multi-Polarization L- and P-Band SAR Backscatter

Predictions of Biomass Change in a Hemi-Boreal Forest Based on Multi-Polarization L- and P-Band SAR Backscatter

The European Space Agency BIOMASS mission: Measuring forest above-ground biomass from space

Tropical forests are a net carbon source based on aboveground measurements of gain and loss

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