Using TanDEM data for forest height estimation and change detection

Antje Thiele; Clémence Dubois; Markus Boldt; Stefan Hinz

doi:10.1117/12.2241795

18 October 2016 Using TanDEM data for forest height estimation and change detection

Antje Thiele, Clémence Dubois, Markus Boldt, Stefan Hinz

Proceedings Volume 10005, Earth Resources and Environmental Remote Sensing/GIS Applications VII; 1000514 (2016) https://doi.org/10.1117/12.2241795
Event: SPIE Remote Sensing, 2016, Edinburgh, United Kingdom

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.

Citation Download Citation

Antje Thiele, Clémence Dubois, Markus Boldt, and Stefan Hinz "Using TanDEM data for forest height estimation and change detection", Proc. SPIE 10005, Earth Resources and Environmental Remote Sensing/GIS Applications VII, 1000514 (18 October 2016); https://doi.org/10.1117/12.2241795

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