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Forest remote sensing on the individual tree level by airborne millimeterwave SAR

Schmitt, Michael and Shahzad, Muhammad and Zhu, Xiao Xiang (2016) Forest remote sensing on the individual tree level by airborne millimeterwave SAR. In: Proceedings of 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 151-154. IEEE Xplore. IGARSS 2016, 10.- 15. Juli 2016, Peking, China. ISBN 978-1-5090-3332-4

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Official URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?filter%3DAND%28p_IS_Number%3A7728980%29&refinements=4225555781&pageNumber=1&resultAction=REFINE

Abstract

means is an important research topic in the context of sustainable forest management. This holds particularly for sensors and methods which are capable of providing information on the level of individual trees: In many countries, single-tree related parameters are the basis for forest inventory. Until These days, the majority of these parameters are collected manually by measurement of sample plots in cost- and time-intensive field surveys. However, remote sensing-based methods have gained increasing attention during recent decades. A large number of promising approaches for the recognition of individual trees is based on the segmentation of Li- DAR point clouds, e.g. [1]. When it comes to synthetic aperture radar (SAR) remote sensing, however, only recently the potential for single-tree analysis has been discovered: Beginning with the first-ever discussion of the possibilities for the recognition of individual trees by airborne millimeterwave SAR data [2], both amplitude-based and interferometric approaches have been proposed [3]. Finally, in [4] a method for the reconstruction of individual trees from multi-aspect TomoSAR data was described, while [5] presents an investigation towards the exploitation of volumetric millimeterwave SAR tomography for sub-canopy imaging. This paper summarizes the recent developments in this state-of-the-art field.

Item URL in elib:https://elib.dlr.de/102116/
Document Type:Conference or Workshop Item (Speech)
Title:Forest remote sensing on the individual tree level by airborne millimeterwave SAR
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Schmitt, MichaelTUM-LMFUNSPECIFIED
Shahzad, Muhammadtum-lmfUNSPECIFIED
Zhu, Xiao XiangDLR-IMF/TUM-LMFUNSPECIFIED
Date:2016
Journal or Publication Title:Proceedings of 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 151-154
Publisher:IEEE Xplore
ISBN:978-1-5090-3332-4
Status:Published
Keywords:tree reconstruction, SAR tomography (TomoSAR), millimeterwaves, forests
Event Title:IGARSS 2016
Event Location:Peking, China
Event Type:international Conference
Event Dates:10.- 15. Juli 2016
Organizer:IEEE GRSS
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Ge, Nan
Deposited On:14 Jan 2016 14:19
Last Modified:31 Jul 2019 19:59

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