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Tropical forest structure observation with TanDEM-X data

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conference contribution
posted on 17.05.2018, 15:25 by A. Pulella, P. C. Bispo, M. Pardini, F. Kugler, V. Cazcarra, M. Tello, K. Papathanassiou, H. Balzter, I. Rizaev, M. N. Santos, J. R. dos Santos, L. S. Araujo, K. Tansey
TanDEM-X forms together with TerraSAR-X the first single-pass polarimetric interferometer in space. This allows for the first time the acquisition and analysis of Single-, Dual-, and Quad-Pol-InSAR data without the disturbing effect of temporal decorrelation globally. For this reason, the exploration of TanDEM-X data for forestry is constantly increasing especially concerning forest height estimation, biomass classification and structure characterization. This paper reports the results of recent experiments aimed at investigating the potentials of TanDEM-X in characterizing quantitatively the spatial variability of the canopy top and phase center height, which is a proxy to horizontal structure. It is shown that such characterization can allow to differentiate among e.g. different successional and / disturbance stages in tropical forests.

Funding

P. C. Bispo is supported by European Union’s Horizon 2020 Research and Innovation Programme under the Marie Skłodowska-Curie grant agreement No 660020. Lidar data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (EMBRAPA), the US Forest Service, USAID, and the US Department of State.

History

Citation

Geoscience and Remote Sensing Symposium (IGARSS), 2017 IEEE International, 2017, pp. 918-921 (4)

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/School of Geography, Geology and the Environment/GIS and Remote Sensing

Source

IEEE International Geoscience & Remote Sensing Symposium, (IGARSS) Fort Worth, TX

Version

AM (Accepted Manuscript)

Published in

Geoscience and Remote Sensing Symposium (IGARSS)

Publisher

IEEE

issn

2153-6996

Copyright date

2017

Available date

17/05/2018

Publisher version

https://ieeexplore.ieee.org/document/8127102/

Temporal coverage: start date

23/07/2017

Temporal coverage: end date

28/07/2017

Language

en