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The BIOMASS level 2...
The BIOMASS level 2 prototype processor: Design and experimental results of above-ground biomass estimation
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Banda, Francesco (författare)
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Giudici, Davide (författare)
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Toan, Thuy Le (författare)
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- d'Alessandro, Mauro Mariotti (författare)
- Politecnico di Milano,Polytechnic University of Milan
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- Papathanassiou, Kostas (författare)
- Deutsches Zentrums für Luft- und Raumfahrt (DLR),German Aerospace Center (DLR)
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- Quegan, S. (författare)
- University of Sheffield
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- Riembauer, Guido (författare)
- European Space Research and Technology Centre (ESA ESTEC)
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- Scipal, Klaus (författare)
- European Space Research and Technology Centre (ESA ESTEC)
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- Soja, Maciej, 1985 (författare)
- University of Tasmania
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- Tebaldini, S. (författare)
- Politecnico di Milano,Polytechnic University of Milan
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- Ulander, Lars, 1962 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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Villard, Ludovic (författare)
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(creator_code:org_t)
- 2020-03-19
- 2020
- Engelska.
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Ingår i: Remote Sensing. - : MDPI AG. - 2072-4292. ; 12:6
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https://research.cha... (primary) (free)
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https://www.mdpi.com...
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https://doi.org/10.3...
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https://research.cha...
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Abstract
Ämnesord
Stäng
- BIOMASS is ESA's seventh Earth Explorer mission, scheduled for launch in 2022. The satellite will be the first P-band SAR sensor in space and will be operated in fully polarimetric interferometric and tomographic modes. The mission aim is to map forest above-ground biomass (AGB), forest height (FH) and severe forest disturbance (FD) globally with a particular focus on tropical forests. This paper presents the algorithms developed to estimate these biophysical parameters from the BIOMASS level 1 SAR measurements and their implementation in the BIOMASS level 2 prototype processor with a focus on the AGB product. The AGB product retrieval uses a physically-based inversion model, using ground-canceled level 1 data as input. The FH product retrieval applies a classical PolInSAR inversion, based on the Random Volume over Ground Model (RVOG). The FD product will provide an indication of where significant changes occurred within the forest, based on the statistical properties of SAR data. We test the AGB retrieval using modified airborne P-Band data from the AfriSAR and TropiSAR campaigns together with reference data from LiDAR-based AGB maps and plot-based ground measurements. For AGB estimation based on data from a single heading, comparison with reference data yields relative Root Mean Square Difference (RMSD) values mostly between 20% and 30%. Combining different headings in the estimation process significantly improves the AGB retrieval to slightly less than 20%. The experimental results indicate that the implemented retrieval scheme provides robust results that are within mission requirements.
Ämnesord
- LANTBRUKSVETENSKAPER -- Lantbruksvetenskap, skogsbruk och fiske -- Skogsvetenskap (hsv//swe)
- AGRICULTURAL SCIENCES -- Agriculture, Forestry and Fisheries -- Forest Science (hsv//eng)
- NATURVETENSKAP -- Geovetenskap och miljövetenskap -- Geofysik (hsv//swe)
- NATURAL SCIENCES -- Earth and Related Environmental Sciences -- Geophysics (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Nyckelord
- Forest height
- DTM
- Earth explorer
- Interferometry
- SAR
- Tomography
- Forest disturbance
- Polarimetry
- BIOMASS
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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Till lärosätets databas
- Av författaren/redakt...
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Banda, Francesco
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Giudici, Davide
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Toan, Thuy Le
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d'Alessandro, Ma ...
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Papathanassiou, ...
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Quegan, S.
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visa fler...
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Riembauer, Guido
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Scipal, Klaus
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Soja, Maciej, 19 ...
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Tebaldini, S.
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Ulander, Lars, 1 ...
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Villard, Ludovic
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visa färre...
- Om ämnet
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- LANTBRUKSVETENSKAPER
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LANTBRUKSVETENSK ...
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och Lantbruksvetensk ...
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och Skogsvetenskap
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- NATURVETENSKAP
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NATURVETENSKAP
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och Geovetenskap och ...
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och Geofysik
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- TEKNIK OCH TEKNOLOGIER
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TEKNIK OCH TEKNO ...
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och Elektroteknik oc ...
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och Signalbehandling
- Artiklar i publikationen
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Remote Sensing
- Av lärosätet
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Chalmers tekniska högskola