dc.contributor
Universitat Politècnica de Catalunya. Doctorat en Teoria del Senyal i Comunicacions
dc.contributor
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor
Universitat Politècnica de Catalunya. CommSensLab-UPC - Centre Específic de Recerca en Comunicació i Detecció UPC
dc.contributor.author
Herrera Giménez, Marc
dc.contributor.author
López Martínez, Carlos
dc.contributor.author
Antropov, Oleg
dc.contributor.author
López Sánchez, Juan Manuel
dc.identifier
Herrera, M. [et al.]. Role of temporal decorrelation in C-band SAR interferometry over boreal and temperate forests. A: IEEE International Geoscience and Remote Sensing Symposium. "IGARSS 2024: 2024 IEEE International Geoscience and Remote Sensing Symposium: 7-12 July, 2024, Athens, Greece: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2024, p. 4230-4234. ISBN 979-8-3503-6032-5. DOI 10.1109/IGARSS53475.2024.10641054 .
dc.identifier
979-8-3503-6032-5
dc.identifier
https://hdl.handle.net/2117/414965
dc.identifier
10.1109/IGARSS53475.2024.10641054
dc.description.abstract
The demonstrated efficacy of interferometric synthetic aperture radar (InSAR) techniques has spurred the development of innovative SAR satellite missions like BIOMASS and NiSAR, poised for extensive application in forest monitoring. Nevertheless, prevailing methodologies for retrieving forest variables, including forest height and above-ground biomass, encounter substantial limitations. Traditionally, successful forest mapping necessitates a non-zero spatial perpendicular baseline, full polarimetry, and a relatively small (close-to-zero) temporal baseline. This study presents a novel approach for extracting forest biophysical variables by modeling the temporal decorrelation of repeat-pass InSAR coherence. We explore a hypothesis regarding the potential relationship between the temporal decorrelation of InSAR coherence and forest variables, such as tree height and aboveground biomass. This hypothesis is tested across diverse test sites in Finland, Canada, and Germany. Our findings suggest a viable means of extracting forestry information by quantifying the temporal decorrelation of C-Band InSAR coherence. We establish a clear connection between the temporal decay rate and crucial forest variables, such as forest above-ground biomass and tree height.
dc.description.abstract
This work has been supported by the INTERACT Project PID2020-114623RB-C32 funded by MCIN / AEI / 10.13039 / 501100011033 and the NewSpace initiative of Generalitat de Catalunya.
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Peer Reviewed
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Postprint (author's final draft)
dc.format
application/pdf
dc.publisher
Institute of Electrical and Electronics Engineers (IEEE)
dc.relation
https://ieeexplore.ieee.org/document/10641054
dc.relation
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-114623RB-C32/ES/ENFOQUES SINERGICOS PARA UNA NUEVA GENERACION DE PRODUCTOS Y APLICACIONES DE OBSERVACION DE LA TIERRA. PARTE UPC/
dc.subject
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Radar
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Synthetic aperture radar
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Interferometry
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Forest biomass
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SAR interferometry
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Aboveground biomass
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Temporal decorrelation
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Radar d'obertura sintètica
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Interferometria
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Biomassa forestal
dc.title
Role of temporal decorrelation in C-band SAR interferometry over boreal and temperate forests
dc.type
Conference report
