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

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

Researchers

Research units

  • KappaZeta
  • University of Tartu

Abstract

In this study we compare semi-empirical interferometric coherence models, proposed in ill, 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.

Details

Original languageEnglish
Title of host publicationIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
Publication statusPublished - 2018
MoE publication typeA4 Article in a conference publication
EventInternational Geoscience and Remote Sensing Symposium - Valencia, Spain
Duration: 22 Jul 201827 Jul 2018
Conference number: 38
https://www.igarss2018.org/

Publication series

NameIEEE International Symposium on Geoscience and Remote Sensing IGARSS
PublisherIEEE
ISSN (Print)2153-6996
ISSN (Electronic)2153-7003

Conference

ConferenceInternational Geoscience and Remote Sensing Symposium
Abbreviated titleIGARSS
CountrySpain
CityValencia
Period22/07/201827/07/2018
Internet address

ID: 31399641