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Assessment of TanDEM-X DEM 2020 Data in Temperate and Boreal Forests and Their Application to Canopy Height Change

Schlund, Michael und von Poncet, Felicitas und Wessel, Birgit und Schweißhelm, Barbara und Kiefl, Nadine (2023) Assessment of TanDEM-X DEM 2020 Data in Temperate and Boreal Forests and Their Application to Canopy Height Change. PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 91, Seiten 107-123. Springer. doi: 10.1007/s41064-023-00235-1. ISSN 2512-2789.

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Offizielle URL: https://link.springer.com/article/10.1007/s41064-023-00235-1#article-info

Kurzfassung

Space-borne digital elevation models (DEM) are considered as important proxy for canopy surface height and its changes in forests. Interferometric TanDEM-X DEMs were assessed regarding their accuracy in forests of Germany and Estonia. The interferometric synthetic aperture radar (InSAR) data for the new global TanDEM-X DEM 2020 coverage were acquired between 2017 and 2020. Each data acquisition was processed using the delta-phase approach for phase unwrapping and comprise an absolute height calibration. The results of the individual InSAR heights confirmed a substantial bias in forests. This was indicated by a mean error (ME) between -5.74 and -6.14 m associated with a root-mean-squared-error (RMSE) between 6.99 m and 7.40 m using airborne light detection and ranging (LiDAR) data as a reference. The bias was attributed to signal penetration, which was attempted to be compensated. The ME and RMSE improved substantially after the compensation to the range of -0.54 to 0.84 m and 3.55 m to 4.52 m. Higher errors of the penetration depth compensated DEMs compared to the original DEMs were found in non-forested areas. This suggests to use the penetration compensation only in forests. The potential of the DEMs for estimating height changes was further assessed in a case study in Estonia. The canopy height change analysis in Estonia indicated an overall accuracy in terms of RMSE of 4.17 m and ME of -0.93 m on pixel level comparing TanDEM-X and LiDAR height changes. The accuracy improved substantially at forest stand level to an RMSE of 2.84 m and an ME of -1.48 m. Selective penetration compensation further improved the height change estimates to an RMSE of 2.14 m and an ME of -0.83 m. Height loss induced by clearcutting was estimated with an ME of -0.85 m and an RMSE of 3.3 m. Substantial regrowth resulted in an ME of -0.46 m and an RMSE of 1.9 m. These results are relevant for exploiting multiple global acquisitions of TanDEM-X, in particular for estimating canopy height and its changes in European forests.

elib-URL des Eintrags:https://elib.dlr.de/195050/
Dokumentart:Zeitschriftenbeitrag
Titel:Assessment of TanDEM-X DEM 2020 Data in Temperate and Boreal Forests and Their Application to Canopy Height Change
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Schlund, MichaelUniversity of Twentehttps://orcid.org/0000-0001-6657-6713NICHT SPEZIFIZIERT
von Poncet, FelicitasIntelligence, Airbus Defence & SpaceNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Wessel, BirgitBirgit.Wessel (at) dlr.dehttps://orcid.org/0000-0002-8673-2485137134351
Schweißhelm, BarbaraBarbara.Schweisshelm (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Kiefl, NadineBayerische Staatsforsten AöRNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:1 März 2023
Erschienen in:PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:91
DOI:10.1007/s41064-023-00235-1
Seitenbereich:Seiten 107-123
Verlag:Springer
ISSN:2512-2789
Status:veröffentlicht
Stichwörter:InSAR, TanDEM-X, Canopy height changes, LiDAR, Forest
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 - Fernerkundung u. Geoforschung, R - Unterstützung TerraSAR-X/TanDEM-X Betrieb
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Dynamik der Landoberfläche
Institut für Methodik der Fernerkundung > SAR-Signalverarbeitung
Hinterlegt von: Wessel, Dr.-Ing. Birgit
Hinterlegt am:19 Jun 2023 10:07
Letzte Änderung:19 Jun 2023 10:07

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