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

Tian, Jiaojiao and Schneider, Thomas and Straub, Christoph and Kugler, Florian and 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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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.

Item URL in elib:https://elib.dlr.de/111822/
Document Type:Article
Additional Information:CC-BY
Title:Exploring Digital Surface Models from Nine Different Sensors for Forest Monitoring and Change Detection
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Tian, JiaojiaoRemote Sensing Technology Institute (IMF), German Aerospace Center (DLR)UNSPECIFIEDUNSPECIFIED
Schneider, ThomasInstitute of Forest Management (IFM), Technical University of Munich (TUM)UNSPECIFIEDUNSPECIFIED
Straub, ChristophDepartment of Information Technology, Bavarian State Institute of Forestry (LWF)UNSPECIFIEDUNSPECIFIED
Kugler, FlorianMicrowaves and Radar Institute (HR), German Aerospace Center (DLR)UNSPECIFIEDUNSPECIFIED
Reinartz, PeterRemote Sensing Technology Institute (IMF), German Aerospace Center (DLR)UNSPECIFIEDUNSPECIFIED
Date:18 March 2017
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Series Name:Remote Sensing
Keywords:DSM, stereo imagery, TanDEM-X, LiDAR, forest heights, change detection
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Security-relevant Earth Observation
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Radar Concepts
Deposited By: Radzuweit, Sibylle
Deposited On:13 Sep 2017 13:01
Last Modified:14 Dec 2019 04:26

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