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Exploring Digital Surface Models from Nine Different Sensors for Forest Monitoring and Change Detection

Tian, Jiaojiao und Schneider, Thomas und Straub, Christoph und Kugler, Florian und Reinartz, Peter (2017) Exploring Digital Surface Models from Nine Different Sensors for Forest Monitoring and Change Detection. Remote Sensing, 9 (3). Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs9030287. ISSN 2072-4292.

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Kurzfassung

Digital surface models (DSMs) derived from spaceborne und airborne sensors enable the monitoring of the vertical structures for forests in large areas. Nevertheless, due to the lack of an objective performance assessment for this task, it is difficult to select the most appropriate data source for DSM generation. In order to fill this gap, this paper performs change detection analysis including forest decrease and tree growth. The accuracy of the DSMs is evaluated by comparison with measured tree heights from inventory plots (field data). In addition, the DSMs are compared with LiDAR data to perform a pixel-wise quality assessment. DSMs from four different satellite stereo sensors (ALOS/PRISM, Cartosat-1, RapidEye and WorldView-2), one satellite InSAR sensor (TanDEM-X), two aerial stereo camera systems (HRSC and UltraCam) and two airborne laser scanning datasets with different point densities are adopted for the comparison. The case study is a complex central European temperate forest close to Traunstein in Bavaria, Germany. As a major experimental result, the quality of the DSM is found to be robust to variations in image resolution, especially when the forest density is high. The forest decrease results confirm that besides aerial photogrammetry data, very high resolution satellite data, such as WorldView-2, can deliver results with comparable quality as the ones derived from LiDAR, followed by TanDEM-X and Cartosat DSMs. The DSM quality derived from ALOS and Rapid-Eye data is lower, but the main changes are still correctly highlighted. Moreover, the vertical tree growth and their relationship with tree height are analyzed. The major tree height in the study site is between 15 and 30 m and the periodic annual increments (PAIs) are in the range of 0.30–0.50 m.

elib-URL des Eintrags:https://elib.dlr.de/111822/
Dokumentart:Zeitschriftenbeitrag
Zusätzliche Informationen:CC-BY
Titel:Exploring Digital Surface Models from Nine Different Sensors for Forest Monitoring and Change Detection
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Tian, JiaojiaoRemote Sensing Technology Institute (IMF), German Aerospace Center (DLR)NICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Schneider, ThomasInstitute of Forest Management (IFM), Technical University of Munich (TUM)NICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Straub, ChristophDepartment of Information Technology, Bavarian State Institute of Forestry (LWF)NICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Kugler, FlorianMicrowaves and Radar Institute (HR), German Aerospace Center (DLR)NICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Reinartz, PeterRemote Sensing Technology Institute (IMF), German Aerospace Center (DLR)NICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:18 März 2017
Erschienen in:Remote Sensing
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Ja
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:9
DOI:10.3390/rs9030287
Verlag:Multidisciplinary Digital Publishing Institute (MDPI)
Name der Reihe:Remote Sensing
ISSN:2072-4292
Status:veröffentlicht
Stichwörter:DSM, stereo imagery, TanDEM-X, LiDAR, forest heights, change detection
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 - Sicherheitsrelevante Erdbeobachtung
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Hochfrequenztechnik und Radarsysteme > Radarkonzepte
Hinterlegt von: Radzuweit, Sibylle
Hinterlegt am:13 Sep 2017 13:01
Letzte Änderung:02 Nov 2023 14:51

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