Forest height estimation from TanDEM-X images with semi-empirical coherence models

Jaan Praks, Oleg Antropov, Aire Olesk, Kaupo Voormansik

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

In this study we compare semi-empirical interferometric coherence models, proposed in [1], for tree height estimation from TanDEM-X coherence scenes. The models are derived from Random Volume over Ground model, by applying simplifications and introducing empirical parameters at different complexity levels so that the models can be adapted to available ancillary data. Several different TandDEM-X interferometric scenes from Estonia are used to test the model performance in various conditions. All the results are compared with highly accurate canopy height models measured using airborne laser scanning. We demonstrate that models which are very simple to invert, produce accurate tree height estimates when the conditions are most favorable. Best results can be seen for winter images for frozen and dry snow conditions. Simple parametric sinc model can produce accurate tree height maps over large areas with pixel-wise deviation only few meters.

Original languageEnglish
Title of host publication2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages8805-8808
Number of pages4
ISBN (Electronic)978-1-5386-7150-4
DOIs
Publication statusPublished - 31 Oct 2018
MoE publication typeA4 Article in a conference publication
Event38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Valencia, Spain
Duration: 22 Jul 201827 Jul 2018

Conference

Conference38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
CountrySpain
CityValencia
Period22/07/1827/07/18

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  • Cite this

    Praks, J., Antropov, O., Olesk, A., & Voormansik, K. (2018). Forest height estimation from TanDEM-X images with semi-empirical coherence models. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings (pp. 8805-8808). [8519569] IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/IGARSS.2018.8519569