Estimating forest structure change by means of wavelet statistics using TanDEM-X datasets

Lea Albrecht, Andreas Huth, Rico Fischer, Konstantinos Papathanassiou, Oleg Antropov, Lukas Lehnert

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

Abstract

Understanding forest structure is crucial because it is shaped by forest dynamics and biophysical processes, and provides valuable insights into a forest's state and dynamics when monitored globally. The scale of observation is critical in understanding forest structure, as disturbances tend to homogenize patterns across different scales, while fine-scale processes introduce heterogeneity. Radar-based techniques like SAR interferometry and SAR tomography offer ways to characterize forest structure, primarily by analysing variations in radar reflectivity profiles. However, conventional methods, such as phase histograms, sacrifice spatial resolution. TanDEM-X, with its high spatial resolution allows the characterisation of structural heterogeneity by examining the centroid of the reflectivity profile. To fully capture structural variations, a multi-scale analysis using wavelet frames is applied. This research combines experimental SAR data from TanDEM-X and forest simulations to comprehensively assess and understand forest structure.

Original languageEnglish
Title of host publicationEUSAR 2024
Subtitle of host publication15th European Conference on Synthetic Aperture Radar
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages658-662
Number of pages5
ISBN (Electronic)9783800762873
Publication statusPublished - 2024
MoE publication typeA4 Article in a conference publication
Event15th European Conference on Synthetic Aperture Radar, EUSAR 2024 - Munich, Germany
Duration: 23 Apr 202426 Apr 2024

Publication series

SeriesProceedings of the European Conference on Synthetic Aperture Radar, EUSAR
ISSN2197-4403

Conference

Conference15th European Conference on Synthetic Aperture Radar, EUSAR 2024
Country/TerritoryGermany
CityMunich
Period23/04/2426/04/24

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