Estimation of Forest Parameters from polarimetric L-band Images
Conference: EUSAR 2022 - 14th European Conference on Synthetic Aperture Radar
07/25/2022 - 07/27/2022 at Leipzig, Germany
Proceedings: EUSAR 2022
Pages: 6Language: englishTyp: PDF
Authors:
Kufer, Martin (Geoinformatics Department, Munich University of Applied Sciences (MUAS), Germany)
Schmitt, Andreas; Krzystek, Peter (Geoinformatics Department, Munich University of Applied Sciences (MUAS), Germany & Institute for Applications of Machine Learning and Intelligent Systems (IAMLIS), Germany)
Wendleder, Anna (Earth Observation Center (EOC), German Aerospace Center (DLR), Germany)
Heurich, Marco (Bavarian Forest National Park, Grafenau, Bavaria, Germany & Chair of Wildlife Ecology and Wildlife Management, University of Freiburg, Germany & Institute for Forest and Wildlife Management, Inland Norway University of Applied Sciences, Evenstad, Norway)
Abstract:
Polarimetric signatures in L-band data measured by the spaceborne SAR sensor ALOS-2 are correlated with typical forest parameters derived by airborne laser scanning via single-tree segmentation and classification over a test site within the Bavarian Forest National Park. Forest parameters like tree species, tree height, crown volume, or crown base height gathered over a small part are transferred to the complete coverage by satellite-based SAR polarimetry. Three classifiers are trained, applied to the Multi-SAR-processed Kennaugh elements. The observed distinct correlations provide the basis for an in-deep examination of the polarimetric, temporal, and spectral signature of mid-European forests in near future.