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8th International Workshop on Retrieval of Bio- & Geo-physical Parameters from SAR Data for Land Applications

15–17 Nov 2023
Rome, Italy
Europe/Amsterdam timezone

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Session

Forestry I: Modelling and Retrieval

15 Nov 2023, 09:20
Rome, Italy

Rome, Italy

Sapienza University of Rome Faculty of Civil and Industrial Engineering Via Eudossiana 18 00184 Rome Italy

Conveners

Forestry I: Modelling and Retrieval

  • Marco Lavalle (NASA JPL)
  • Carlos López-Martínez (Universitat Politècnica de Catalunya)

Presentation materials

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  1. 83. Quantifying forest aboveground biomass globally with spaceborne SAR datasets: the CCI Biomass CORE algorithm
    Maurizio Santoro (GAMMA Remote Sensing)
    15/11/2023, 09:20
    Forestry

    The Climate Change Initiative (CCI) Biomass project foresees the generation of forest aboveground biomass (AGB) estimates for several years between 2005 and 2022 at high resolution and globally. This is a challenging task, as accurately measuring the organic mass stored in forests relies on mathematical models applied to observations, either near or far-field. The difficulty lies in achieving...

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  2. 88. Combining Multi-Mission Datasets and Structure Measurements to Estimate Tropical Forest Biomass in the Scope of the ESA BIOMASS Mission
    Benedikt Hartweg (German Aerospace Center (DLR) & University of Munich (LMU))
    15/11/2023, 09:40
    Forestry

    Current remote sensing based approaches for forest biomass estimation evolve around the use of allometric relationships at different spatial and temporal scales. Three main input parameters are used for the biomass estimation: the tree height, either at the individual level, or at the respective resolution cell size, the allometric factor and the allometric exponent. This formula for the...

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  3. 112. Estimating the properties of tropical dryland forests with ALOS L-band polarimetric data
    Shaun Quegan (University of Sheffield)
    15/11/2023, 10:00
    Forestry

    The global dry tropics are currently the largest, most sensitive, and fastest increasing component of the land carbon sink, but proper characterization of their role requires accurate estimates of the forest processes occurring within this region. L-band Synthetic Aperture Radar (SAR) observations are currently our best option to consistently map these processes: i) they are available globally...

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  4. 109. Insights of MIPERS-4D simulations for the retrieval of forest height and biomass: study cases related to the BIOMASS mission
    Ludovic Villard (CESBIO)
    15/11/2023, 10:20
    Forestry

    Given its unique penetration capabilities and sensitivity to woody elements, radar remote sensing techniques at P and L bands are certainly the most promising tools for wide scale retrieval of forest parameters. Nonetheless, the radar signal sensitivity is prone to multifactorial
    effects, and the retrieval methods (mostly correlative or network based) are often limited by an insufficient...

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