Publication Details

Category Text Publication
Reference Category Journals
DOI 10.3390/rs9121229
Title (Primary) Monitoring of forest structure dynamics by means of L-band SAR tomography
Author Cazcarra-Bes, V.; Tello-Alonso, M.; Fischer, R. ORCID logo ; Heym, M.; Papathanassiou, K.
Source Titel Remote Sensing
Year 2017
Department OESA
Volume 9
Issue 12
Page From art. 1229
Language englisch
Keywords synthetic aperture radar (SAR); tomography; forest structure; forest dynamics; horizontal forest structure; vertical forest structure; L-band; compressive sensing
UFZ wide themes RU5;
Abstract Synthetic Aperture Radar Tomography (TomoSAR) allows the reconstruction of the 3D reflectivity of natural volume scatterers such as forests, thus providing an opportunity to infer structure information in 3D. In this paper, the potential of TomoSAR data at L-band to monitor temporal variations of forest structure is addressed using simulated and experimental datasets. First, 3D reflectivity profiles were extracted by means of TomoSAR reconstruction based on a Compressive Sensing (CS) approach. Next, two complementary indices for the description of horizontal and vertical forest structure were defined and estimated by means of the distribution of local maxima of the reconstructed reflectivity profiles. To assess the sensitivity and consistency of the proposed methodology, variations of these indices for different types of forest changes in simulated as well as in real scenarios were analyzed and assessed against different sources of reference data: airborne Lidar measurements, high resolution optical images, and forest inventory data. The forest structure maps obtained indicated the potential to distinguish between different forest stages and the identification of different types of forest structure changes induced by logging, natural disturbance, or forest management.
Persistent UFZ Identifier
Cazcarra-Bes, V., Tello-Alonso, M., Fischer, R., Heym, M., Papathanassiou, K. (2017):
Monitoring of forest structure dynamics by means of L-band SAR tomography
Remote Sens. 9 (12), art. 1229 10.3390/rs9121229