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Estimation of Forest Parameters from polarimetric L-band Images

Kufer, Martin and Schmitt, Andreas and Wendleder, Anna and Krzystek, Peter and Heurich, Marco (2022) Estimation of Forest Parameters from polarimetric L-band Images. In: 14th European Conference on Synthetic Aperture Radar, EUSAR 2022, pp. 126-131. EUSAR 2022, 2022-07-25, Leipzig, Deutschland. ISBN 9783800758234. ISSN 2197-4403.

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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 MultiSAR-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.

Item URL in elib:https://elib.dlr.de/189672/
Document Type:Conference or Workshop Item (Speech)
Title:Estimation of Forest Parameters from polarimetric L-band Images
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Kufer, MartinUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schmitt, AndreasUniversity of Applied Sciences MunichUNSPECIFIEDUNSPECIFIED
Wendleder, AnnaUNSPECIFIEDhttps://orcid.org/0009-0005-1534-4732UNSPECIFIED
Krzystek, PeterMunich University of Applied Sciences, Department of GeoinformaticsUNSPECIFIEDUNSPECIFIED
Heurich, MarcoBavarian Forest National Park, Department of ResearchUNSPECIFIEDUNSPECIFIED
Date:2022
Journal or Publication Title:14th European Conference on Synthetic Aperture Radar, EUSAR 2022
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Page Range:pp. 126-131
ISSN:2197-4403
ISBN:9783800758234
Status:Published
Keywords:SAR, ALOS PALSAR, Kennugh Elements, Multi-SAR, forest parmeters
Event Title:EUSAR 2022
Event Location:Leipzig, Deutschland
Event Type:international Conference
Event Date:25 July 2022
Organizer:VDE
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Wendleder, Anna
Deposited On:10 Nov 2022 12:10
Last Modified:13 Nov 2024 15:13

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