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The value of InSAR Coherence in TanDEM-X and Sentinel-1 for monitoring world's forests

Rizzoli, Paola und Bueso Bello, Jose Luis und Diniz Dal Molin Junior, Ricardo Simao und Carcereri, Daniel und Gonzalez, Carolina und Martone, Michele und Dell'Amore, Luca und Gollin, Nicola und Milillo, Pietro und Zink, Manfred (2022) The value of InSAR Coherence in TanDEM-X and Sentinel-1 for monitoring world's forests. European Geosciences Union (EGU) General Assembly, 2022-05-23 - 2022-05-27, Vienna, Austria.

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Kurzfassung

Covering about 30 percent of the Earth’s surface, forests are of paramount importance for the Earth's ecosystem. They act as effective carbon sinks, reducing the concentration of greenhouse gas in the atmosphere, and help mitigating climate change effects. This delicate ecosystem is currently threatened and degraded by anthropogenic activities and natural hazards, such as deforestation, agricultural activities, farming, fires, floods, winds, and soil erosion. In an era of dramatic changes for the Earth's ecosystems, the scientific community urgently needs to better support public and societal authorities in decision-making processes. The availability of reliable, up-to-date measurements of forest resources, evolution, and impact is therefore of paramount importance for environmental preservation and climate change mitigation. In this scenario, Synthetic Aperture Radar (SAR) systems, thanks to their capability to operate in presence of clouds, represent an attractive alternative to optical sensors for remote sensing over forested areas, such as tropical and boreal forests, which are hidden by clouds for most of the year. In this work, we will investigate the potential of SAR interferometry (InSAR) for mapping forests worldwide and retrieve important biophysical parameters, such as canopy height and above ground biomass. We will compare pros and cons of single-pass (bistatic) versus repeat-pass InSAR, discussing their main peculiarities and limitations. In particular, we will concentrate on the analysis of the interferometric coherence and on the relationship between volume and temporal decorrelation with respect to forest parameters estimation. We will present the work done at DLR for mapping forests worldwide at high spatial resolution using the TanDEM-X bistatic coherence, together with the potential of Sentinel-1 InSAR time-series for a regular monitoring of vegetated areas. We will discuss the algorithms which currently under development for the estimation of above ground biomass, by fusion of InSAR and multi-spectral optical data, based on the latest advances in the field of artificial intelligence and, in particular, of deep learning, presenting the first promising results for a more effective exploitation of current EO datasets.

elib-URL des Eintrags:https://elib.dlr.de/186086/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:The value of InSAR Coherence in TanDEM-X and Sentinel-1 for monitoring world's forests
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Rizzoli, PaolaPaola.Rizzoli (at) dlr.dehttps://orcid.org/0000-0001-9118-2732NICHT SPEZIFIZIERT
Bueso Bello, Jose LuisJose-Luis.Bueso-Bello (at) dlr.dehttps://orcid.org/0000-0003-3464-2186NICHT SPEZIFIZIERT
Diniz Dal Molin Junior, Ricardo Simaoricardo.dinizdalmolinjunior (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Carcereri, DanielDaniel.Carcereri (at) dlr.dehttps://orcid.org/0000-0002-3956-1409NICHT SPEZIFIZIERT
Gonzalez, Carolinacarolina.gonzalez (at) dlr.dehttps://orcid.org/0000-0002-9340-1887NICHT SPEZIFIZIERT
Martone, MicheleMichele.Martone (at) dlr.dehttps://orcid.org/0000-0002-4601-6599NICHT SPEZIFIZIERT
Dell'Amore, LucaLuca.Dellamore (at) dlr.dehttps://orcid.org/0000-0002-6731-1300NICHT SPEZIFIZIERT
Gollin, NicolaNicola.Gollin (at) dlr.dehttps://orcid.org/0000-0003-0477-3273NICHT SPEZIFIZIERT
Milillo, Pietropieto.milillo (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Zink, Manfredmanfred.zink (at) dlr.dehttps://orcid.org/0000-0002-4308-5636NICHT SPEZIFIZIERT
Datum:2022
Referierte Publikation:Nein
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:veröffentlicht
Stichwörter:InSAR coherence, forest mapping, Sentinel-1, TanDEM-X
Veranstaltungstitel:European Geosciences Union (EGU) General Assembly
Veranstaltungsort:Vienna, Austria
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:23 Mai 2022
Veranstaltungsende:27 Mai 2022
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Unterstützung TerraSAR-X/TanDEM-X Betrieb
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Hochfrequenztechnik und Radarsysteme
Institut für Hochfrequenztechnik und Radarsysteme > Satelliten-SAR-Systeme
Hinterlegt von: Rizzoli, Paola
Hinterlegt am:11 Apr 2022 08:05
Letzte Änderung:24 Apr 2024 20:47

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