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Proceedings Paper

Using TanDEM data for forest height estimation and change detection
Author(s): Antje Thiele; Clémence Dubois; Markus Boldt; Stefan Hinz
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Paper Abstract

Mapping of forest coverage and forest changes became an increasing issue due to deforestation and forest degradation. Moreover, the estimation of related indicators such as carbon reduction, biomass and wood capacity is of large interest for industry and politics. As forest height is an important contributing parameter for these indicators, the region-wide estimation of forest heights is an essential step. This article investigates the accuracy potential of forest height estimation that can be reached by the current configuration of the two SAR satellites TerraSAR-X and TanDEM-X. Depending on the chosen acquisition mode and flight geometry, products of different quality can be achieved. Eight InSAR data sets showing different characteristics in geometric resolution, length of baseline, and mapping time, are processed and analyzed. To enable a thorough evaluation of the estimated heights, first-pulse LIDAR point clouds and aerial ortho-images are used as reference data.

Paper Details

Date Published: 18 October 2016
PDF: 8 pages
Proc. SPIE 10005, Earth Resources and Environmental Remote Sensing/GIS Applications VII, 1000514 (18 October 2016); doi: 10.1117/12.2241795
Show Author Affiliations
Antje Thiele, Karlsruhe Institute of Technology (Germany)
Fraunhofer IOSB (Germany)
Clémence Dubois, Federal Institute for Geosciences and Natural Resources (Germany)
Markus Boldt, Fraunhofer IOSB (Germany)
Stefan Hinz, Karlsruhe Institute of Technology (Germany)


Published in SPIE Proceedings Vol. 10005:
Earth Resources and Environmental Remote Sensing/GIS Applications VII
Ulrich Michel; Karsten Schulz; Manfred Ehlers; Konstantinos G. Nikolakopoulos; Daniel Civco, Editor(s)

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