[Webinar] Applications of synthetic aperture radar configurations for forest monitoring and other outlooks

21 Luglio 2023
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online h 10:30

Link to the webinar: https://teams.microsoft.com/l/team/19%3acf23f9db24c040608e004b22ee344fdb%40thread.tacv2/conversations?groupId=d541dd1f-3121-47c5-aa26-6faa2f3fc84e&tenantId=c7456b31-a220-47f5-be52-473828670aa1  

Abstract
The advancements in the development of polarimetric interferometric and tomographic synthetic aperture radar (SAR) techniques during the last years triggered the development of a new generation of 3D forest monitoring applications by means of SAR remote sensing. At the same time the progress in SAR technology makes possible the implementation and operation of a new generation of spaceborne SAR configurations able to realize these applications on a global scale with a high spatial and temporal resolution.
The objective of this seminar is to address the potentials of these configurations especially for monitoring forest height, structure and biomass. The discussion will be supported by experimental results obtained not only in the frame of the German Space Agency (DLR) F-SAR airborne campaigns over specific forest sites, but also at larger scales (i.e., country-wide) with the DLR’s TanDEM-X spaceborne data. Outlooks will also be provided on applications in different natural scenarios, e.g. including ice and agricultural vegetation, under investigation at the DLR’s Microwaves and Radar Institute.

Biography
Matteo Pardini received the Ms.Eng. degree in telecommunication engineering and the Ph.D. degree in information engineering from the University of Pisa, Pisa, Italy, in 2006 and 2010, respectively. In 2010, he joined the Information Retrieval group in the Radar Concepts Department, Microwaves and Radar Institute, Deutsches Zentrum fur Luft- und Raumfahrt (DLR) in Oberpfaffenhofen, Weßling, Germany, as a Research Scientist, after a visiting research period in 2009. In 2017, he was a Visiting Scientist with the Department of Geographical Sciences, University of Maryland, College Park, MD, USA.
His research interests include synthetic aperture radar (SAR) tomographic and polarimetric interferometric processing for 3-D bio/geophysical information extraction over natural volumes (forest, agriculture, and ice), SAR mission design, and SAR mission performance analysis. He is member of DLR’s TanDEM-X and Tandem-L science teams. He was awarded with the IEEE GRSS IEEE GRSS J-STARS Paper Award in 2019, and the DLR Science Award in 2020.

Per informazioni rivolgersi al Prof. Lombardini - fabrizio.lombardini@unipi.it