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oai:recercat.cat:2117/4149652026-01-22T05:14:09Zcom_2072_1033col_2072_452950

Role of temporal decorrelation in C-band SAR interferometry over boreal and temperate forests Herrera Giménez, Marc López Martínez, Carlos Antropov, Oleg López Sánchez, Juan Manuel Universitat Politècnica de Catalunya. Doctorat en Teoria del Senyal i Comunicacions Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions Universitat Politècnica de Catalunya. CommSensLab-UPC - Centre Específic de Recerca en Comunicació i Detecció UPC Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Radar Synthetic aperture radar Interferometry Forest biomass SAR interferometry Coherence Aboveground biomass Forest height Time series Temporal decorrelation Radar d'obertura sintètica Interferometria Biomassa forestal 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. 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. Peer Reviewed Postprint (author's final draft) 2024 Conference report 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 . 979-8-3503-6032-5 https://hdl.handle.net/2117/414965 10.1109/IGARSS53475.2024.10641054 eng https://ieeexplore.ieee.org/document/10641054 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/ Open Access 5 p. application/pdf Institute of Electrical and Electronics Engineers (IEEE)