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Machine Learning in Model-Based Forest Height Inversion

Mansour, Islam and Papathanassiou, Konstantinos and Haensch, Ronny and Hajnsek, Irena (2023) Machine Learning in Model-Based Forest Height Inversion. Proceedings of the ESA POLinSAR Workshop, 2023. ESA POLinSAR Workshop, 2023-06-19 - 2023-06-23, Toulouse, France.

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Abstract

Model-based (PM) forest height inversion from Polarimetric Interferometric Synthetic Aperture Radar (Pol-InSAR) measurements is today an established application demonstrated and validated at large scales for a wide variety of boreal and tropical forest sites at different frequencies (from X- down to P- band) ​[1], [2]​. Although the estimation performance obtained may depend on the individual observation spaces in each case, it is generally (very) convincing. However, as with any model-based inversion approach, there are inherent limitations that can restrict expected performance depending on the individual case ​[3]​.

Item URL in elib:https://elib.dlr.de/195246/
Document Type:Conference or Workshop Item (Speech)
Title:Machine Learning in Model-Based Forest Height Inversion
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Mansour, IslamUNSPECIFIEDhttps://orcid.org/0000-0003-3114-6515UNSPECIFIED
Papathanassiou, KonstantinosUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Haensch, RonnyUNSPECIFIEDhttps://orcid.org/0000-0002-2936-6765UNSPECIFIED
Hajnsek, IrenaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:June 2023
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Publisher:Proceedings of the ESA POLinSAR Workshop, 2023
Status:Accepted
Keywords:Polarimetric SAR;Multimodal Data;Fusion-based inversion; Machine learning;Hybrid modeling; Forest height estimation; Forests; TanDEM-X; ALOS2;
Event Title:ESA POLinSAR Workshop
Event Location:Toulouse, France
Event Type:international Conference
Event Dates:2023-06-19 - 2023-06-23
Organizer:ESA
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 - Polarimetric SAR Interferometry HR
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Radar Concepts
Microwaves and Radar Institute > SAR Technology
Deposited By: Mansour, Islam
Deposited On:03 Jul 2023 07:24
Last Modified:30 Oct 2023 17:13

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