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Forest mapping with TanDEM-X: the global product and potentials for high-resolution classification

Martone, Michele und Rizzoli, Paola und Gonzalez, Carolina und Bueso Bello, Jose Luis und Sica, Francescopaolo und Zink, Manfred und Krieger, Gerhard und Moreira, Alberto (2018) Forest mapping with TanDEM-X: the global product and potentials for high-resolution classification. ForestSAT 2018, 2018-10-02 - 2018-10-05, College Park, Maryland, USA.

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Kurzfassung

Forests cover about 30% of the Earth’s landmasses, play an essential role in many dynamic processes of our planet, and are of extreme importance for all living species, allowing for the existence and preservation of biodiversity and healthy ecosystems. However, severe loss and degradation of forests is nowadays occurring at an alarming rate, hence putting this delicate balance in serious danger. For these reasons, an up-to-date assessment of the forest resource state becomes of crucial importance. In this context, spaceborne SAR represents a very attractive solution for regular mapping and monitoring of forested areas. Indeed, thanks to its weather and daylight independence and large coverage capabilities, spaceborne SAR is able to provide timely, high-resolution imaging at local, as well as regional and up to global scale. In this paper we present the new global Forest/Non-Forest classification map from TanDEM-X interferometric SAR data (InSAR) at X band, at a spatial resolution of 50 meters. The TanDEM-X mission comprises the two twin satellites TerraSAR-X and TanDEM-X, which fly in closed-controlled formation acting as a flexible single-pass radar interferometer. Among the different factors affecting the quality of InSAR data, the so-called volume correlation factor describes the coherence loss due to volume scattering effects, which typically occur in presence of vegetation. Therefore, the volume correlation factor is used as main indicator for the discrimination of forested from non-forested areas. The proposed classification method, the product validation with external reference data, and the comparison with existing land cover maps are presented. The global TanDEM-X classification mosaics will be released to the scientific community for free download and usage. In a second part of the paper the potentials of TanDEM-X data for high-resolution forest mapping are addressed. We present forest/non-forest classification mosaics of the State of Pennsylvania, USA, from TanDEM-X data processed at ground resolutions down to 6 m. For coherence estimation, both standard boxcar and nonlocal filtering methods have been considered, and a performance comparison verifies that nonlocal filters, thanks to their outstanding performance in terms of noise reduction capabilities and spatial features preservation, represent a promising approach to achieve a reliable classification at such fine resolutions.

elib-URL des Eintrags:https://elib.dlr.de/120536/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Forest mapping with TanDEM-X: the global product and potentials for high-resolution classification
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Martone, MicheleMichele.Martone (at) dlr.dehttps://orcid.org/0000-0002-4601-6599NICHT SPEZIFIZIERT
Rizzoli, PaolaPaola.Rizzoli (at) dlr.dehttps://orcid.org/0000-0001-9118-2732NICHT SPEZIFIZIERT
Gonzalez, Carolinacarolina.gonzalez (at) dlr.dehttps://orcid.org/0000-0002-9340-1887NICHT SPEZIFIZIERT
Bueso Bello, Jose LuisJose-Luis.Bueso-Bello (at) dlr.dehttps://orcid.org/0000-0003-3464-2186NICHT SPEZIFIZIERT
Sica, FrancescopaoloFrancescopaolo.Sica (at) dlr.dehttps://orcid.org/0000-0003-1593-1492NICHT SPEZIFIZIERT
Zink, Manfredmanfred.zink (at) dlr.dehttps://orcid.org/0000-0002-4308-5636NICHT SPEZIFIZIERT
Krieger, GerhardGerhard.Krieger (at) dlr.dehttps://orcid.org/0000-0002-4548-0285NICHT SPEZIFIZIERT
Moreira, AlbertoAlberto.Moreira (at) dlr.dehttps://orcid.org/0000-0002-3436-9653NICHT SPEZIFIZIERT
Datum:2018
Referierte Publikation:Nein
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:veröffentlicht
Stichwörter:Synthetic aperture radar (SAR); SAR interferometry (InSAR); TanDEM-X mission; Coherence; Volume correlation factor; Forest classification
Veranstaltungstitel:ForestSAT 2018
Veranstaltungsort:College Park, Maryland, USA
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:2 Oktober 2018
Veranstaltungsende:5 Oktober 2018
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 - Projekt TanDEM-X (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Hochfrequenztechnik und Radarsysteme > Satelliten-SAR-Systeme
Institut für Hochfrequenztechnik und Radarsysteme > Radarkonzepte
Hinterlegt von: Martone, Michele
Hinterlegt am:27 Jun 2018 11:37
Letzte Änderung:24 Apr 2024 20:24

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