PSDefoPAT—Persistent Scatterer Deformation Pattern Analysis Tool

Autor: Madeline Evers, Antje Thiele, Horst Hammer, Stefan Hinz

Publikováno v: Remote Sensing, Vol 15, Iss 19, p 4646 (2023)

Persistent Scatterer Deformation Pattern Analysis Tool, for short PSDefoPAT, was designed to assign each measuring point of an advanced DInSAR data set a best-fitting time series model based on its displacement time series. In this paper, we will out

Externí odkaz: https://doaj.org/article/00b4d3998d4c46208d9ee1dc0d8ebebd

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The Evolution of Wide-Area DInSAR: From Regional and National Services to the European Ground Motion Service

Autor: Michaela Frei, Luca Guerrieri, V. Comerci, Nicola Casagli, Henrik Steen Andersen, Dag Anders Moldestad, Luke Bateson, Michele Crosetto, Lorenzo Solari, M. Mróz, Anneleen Oyen, Joanna Balasis-Levinsen

Publikováno v: Remote Sensing, Vol 12, Iss 2043, p 2043 (2020)

This study is focused on wide-area deformation monitoring initiatives based on the differential interferometric SAR technique (DInSAR). In particular, it addresses the use of advanced DInSAR (A-DInSAR) techniques, which are based on large sets of syn

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fac4c0562b3e5658f9e6ce868e78079
https://doi.org/10.3390/rs12122043

Unsupervised parallel SBAS-DInSAR chain for massive and systematic Sentinel-1 data processing

Autor: Manunta, M., Bonano, M., Buonanno, S., Casu, F., De Luca, C., Fusco, A., Lanari, R., Manzo, M., Ojha, C., Pepe, A., Zinno, I.

Publikováno v: IGARSS
36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016, pp. 3890–3893, Beijing, 10 July 2016, 15 July 2016
info:cnr-pdr/source/autori:Manunta, M.; Bonano, M.; Buonanno, S.; Casu, F.; De Luca, C.; De Luca, C.; Fusco, A.; Lanari, R.; Manzo, M.; Ojha, C.; Pepe, A.; Zinno, I./congresso_nome:36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016/congresso_luogo:Beijing/congresso_data:10 July 2016, 15 July 2016/anno:2016/pagina_da:3890/pagina_a:3893/intervallo_pagine:3890–3893

In this work we present an efficient interferometric processing chain, based on the advanced DInSAR algorithm referred to as Parallel Small BAseline Subset (P-SBAS), for the generation of Sentinel-1A (S1A) Interferometric Wide Swath deformation time-

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f5bff8d61f7481ecb1a4dc433293528
https://doi.org/10.1109/igarss.2016.7730010

Application of multi-sensor advanced DInSAR analysis to severe land subsidence recognition: Alto Guadalentín Basin (Spain)

Autor: R. Bonì, G. Herrera, C. Meisina, D. Notti, M. Béjar-Pizarro, F. Zucca, P. J. González, M. Palano, R. Tomás, J. Fernández, J. A. Fernández-Merodo, J. Mulas, R. Aragón, C. Guardiola-Albert, O. Mora

Publikováno v: Proceedings of the International Association of Hydrological Sciences, Vol 372, Pp 45-48 (2015)
Digital.CSIC. Repositorio Institucional del CSIC
instname
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)

Multi-sensor advanced DInSAR analyses have been performed and compared with two GPS station measurements, in order to evaluate the land subsidence evolution in a 20-year period, in the Alto Guadalentín Basin where the highest rate of man-induced sub

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f27845e939243d6f965a1c03c9c8059
https://hdl.handle.net/10045/51665