Application of Persistent Scatterer Interferometry method (PSI) in Limón, Costa Rica

Authors

DOI:

https://doi.org/10.15359/rgac.67-2.1

Keywords:

InSAR, PSI, Surface deformation

Abstract

The objective of the present research was to apply the Persistent Scatterer Interferometry (PSI) method in the city of Limón, Costa Rica, in order to estimate surface deformation velocity. The investigation is of descriptive nature and use is made of radar imagery from the Sentinel-1 mission pre-processed with SNAP software of the European Space Agency. Line-of-sight (LOS) velocity and time series were estimated using the StaMPS software resulting in velocities in the range of -11 mm/yr5 to +20 mm/yr. It is concluded that the method has practical potential in Costa Rica for surface dynamics research and instances where no data is available from other methods such as GNSS.

Author Biographies

Diana Ninette Paniagua-Jiménez, Universidad Nacional, Costa Rica

Máster, Escuela de Topografía, Catastro y Geodesia, Universidad Nacional. Correo electrónico:
diana.paniagua.jimenez@una.ac.cr https://orcid.org/0000-0003-2834-5310

José Valverde-Calderón, Universidad Nacional, Costa Rica

Máster, Escuela de Topografía, Catastro y Geodesia, Universidad Nacional. Correo electrónico: jose.valverde.calderon@una.ac.cr  http://orcid.org/0000-0003-3926-1761

Paula Molina-Calderón, Universidad Nacional, Costa Rica

Estudiante, Escuela de Topografía, Catastro y Geodesia, Universidad Nacional. Correo electrónico: paulaamc727@gmail.com https://orcid.org/0000-0002-6446-3253

Gustavo Barrantes-Castillo, Universidad Nacional, Costa Rica

Doctor, Escuela de Ciencias Geográficas, Universidad Nacional, Costa Rica. Correo electrónico: gbarrantes@una.cr  http://orcid.org/0000-0003-2130-8883

References

Alvarado, G. & Cárdenas, G. (2016). Chapter 3 Geology, Tectonics, and Geomorphology of Costa Rica: A Natural History Approach. En M. Kappelle, Costa Rican Ecosystems (p. 744). London.

Balzter, H. (2001). Forest mapping and monitoring with interferometric synthetic aperture radar (InSAR). Progress in physical geography, 25(2), pp. 159-177.

Barrantes-Castillo, G., Arozarena-Llopis, I., Sandoval-Murillo, L. F., & Valverde-Calderón, J. F. (2019). Playas críticas por erosión costera en el caribe sur de Costa Rica, durante el periodo 2005-2016. Revista Geográfica de América Central, 1(64), pp. 95-122. https://doi.org/10.15359/rgac.64-1.4

Campbell, J. B. & Wynne, R. H. (2011). Introduction to remote sensing. Guilford Press. Chicago Press.

Cho, B. L., Kong, Y. K., Park, H. G., & Kim, Y. S. (2006). Automobile-based SAR/InSAR system for ground experiments. IEEE Geoscience and Remote Sensing Letters, 3(3), pp. 401-405.

Crosetto, M., Monserrat, O., Cuevas-González, M., Devanthéry, N., & Crippa, B. (2016). Persistent scatterer interferometry: A review. ISPRS Journal of Photogrammetry and Remote Sensing, 115, pp. 78-89.

Delgado-Blasco, J. M., Foumelis, M., Stewart, C., & Hooper, A. (2019). Measuring urban subsidence in the rome metropolitan area (italy) with sentinel-1 snap-stamps persistent scatterer interferometry. Remote Sensing, 11(2), p. 129. https://doi.org/10.3390/rs11020129

Denyer, P., Arias, O., & Personius., S. (1994). Efectos tectonicos del terremoto de Limon, Costa Rica. Rev. Geol. Amer. Central, Volumen especial, pp. 39-52.

Haghighi, M., & Motagh, M. (2017). Sentinel-1 InSAR over Germany: Large-scale interferometry, atmospheric effects, and ground deformation mapping. ZfV: Zeitschrift für Geodäsie, Geoinformation und Landmanagement, 2017(4), 245-256.

Hanssen, R.F. (2001). Radar interferometry: data interpretation and error analysis (Vol.2). Springer Science & Business Media.

Homer, J., Longstaff, I. D., & Callaghan, G. (1996). High resolution 3-D SAR via multi-baseline interferometry. In IGARSS’96. 1996 International Geoscience and Remote Sensing Symposium (Vol. 1, pp. 796-798). IEEE.

Hooper, A. (2010). A statistical-cost approach to unwrapping the phase of InSAR time series. In Proceedings of the International Workshop on ERS SAR Interferometry, Frascati, Italy (Vol. 30).

Hooper, A., Bekaert, D., & Spaans, K. (2010). StaMPS/MTI manual. Delft Institute of Earth Observation and Space Systems Delft University of Technology, Kluyverweg, 1, p. 2629.

Hooper, A., Segall, P., & Zebker, H. (2007). Persistent scatterer InSAR for crustal deformation analysis, with application to Volcán Alcedo, Galápagos. Journal of Geophysical Research, 112(B07407), p. 19.

Höser, Thorsten. (2018). Analysing the Capabilities and Limitations of InSAR using Sentinel-1 Data for Landslide Detection and Monitoring. https://doi.org/10.13140/rg.2.2.35085.59362

Hu, J., Li, Z. W., Ding, X. L., Zhu, J. J., Zhang, L., & Sun, Q. (2014). Resolving three-dimensional surface displacements from InSAR measurements: A review. Earth-Science Reviews, 133, pp. 1-17.

Instituto Meteorológico Nacional [IMN]. (2017). Clima de Costa Rica: el clima y las regiones climáticas de Costa Rica. Recuperado el 07 de noviembre de 2017, de Instituto Meteorológico Nacional: https://www.imn.ac.cr

Kampes, B. M. (2005). Displacement Parameter Estimation using Permanent Scatterer Interferometry, Ph.D. thesis, Delft University of Technology.

Kerle, N., Janssen, L. L., & Huurneman, G. C. (2004). Principles of remote sensing. ITC, Educational textbook series, 2, p. 250.

Ministerio de Planificación Nacional y Política Económica. [MIDEPLAN]. (2018). Área de Análisis del Desarrollo. Índice de desarrollo social 2017 / Ministerio de Planificación Nacional y Política Económica. -- San José, CR: MIDEPLAN, 2018.

Montero, W., Pardo, M., Ponce, L., Rojas, W., & Fernández, M. (1994). Evento principal y replicas importantes del terremoto de Limón. Revista Geológica de América Central. Vol. espec. Terremoto de Limón, pp. 93-102.

Morera-Beita, C. & Miranda-Álvarez, P. (2016). De la geografía del turismo al análisis territorial del turismo: el rastro en Costa Rica. Revista Geográfica de América Central, 1(54), 15-43. https://doi.org/10.15359/rgac.1-54.1

Municipalidad de Limón. (2019). Municipalidad del Cantón Central de Limón. Obtenido de Historia: http://www.municlimon.go.cr/index.php/mn-conozcanos/mn-micanton/mn-historiacanton

NASA. (2014). EcoSAR. Recuperado el 29 de Enero de 2019, de https://ecosar.gsfc.nasa.gov/campaigns/costa-rica

Osmanoğlu, B., Dixon, T. H., Wdowinski, S., Cabral-Cano, E., & Jiang, Y. (2011). Mexico City subsidence observed with persistent scatterer InSAR. International Journal of Applied Earth Observation and Geoinformation, 13(1), pp. 1-12.

Sajinkumar, K. S., Bincy, H. S., Bouali, E. H., Oommen, T., Vishnu, C. L., Anilkumar, Y. & Keerthy, S. (2020). Picturing beach erosion and deposition trends using PSInSAR: an example from the non-barred southern west coast of India. Wetlands Ecology and Management, pp. 1-14.

Samieie-Esfahany, S., Hanssen, R., van Thienen-Visser, K., & Muntendam-Bos, A. (2009). On the effect of horizontal deformation on InSAR subsidence estimates. In Proceedings of the Fringe 2009 Workshop, Frascati, Italy (Vol. 30).

Smith, L. C. (2002). Emerging applications of interferometric synthetic aperture radar (InSAR) in geomorphology and hydrology. Annals of the Association of American Geographers, 92(3), pp. 385-398.

Soergel, U. (2010). Review of radar remote sensing on urban areas. In Radar remote sensing of urban areas. Springer, Dordrecht, pp. 1-47.

Trejos, B. & Chiang, L. H. N. (2009). Local economic linkages to community based tourism in rural Costa Rica. Singapore journal of tropical geography, 30(3), pp. 373-387.

U.S. Geological Survey. (2019). USGS science for a changing world. Obtenido de Mapping, Remote Sensing, and Geospatial Data: https://www.usgs.gov/faqs/what-remote-sensing-and-what-it-used?qt-news_science_products=0#qt-news_science_products

Uys, Duan. (2016). InSAR: an introduction. Preview. 182, 43-48 https://doi.org/10.1071/PVv2016n182p43

Valverde-Calderón, J. (2020). Estudio del efecto de un terremoto sobre un marco geodésico de referencia. Uniciencia, 34 (1), 1-2019, pp. 1-19. http://dx.doi.org/10.15359/ru.34-1.1

Yhokha, A., Goswami, P.K., Chang, CP. et al. (2018). Application of Persistent Scatterer Interferometry (PSI) in monitoring slope movements in Nainital, Uttarakhand Lesser Himalaya, India. J Earth Syst Sci 127, 6 https://doi.org/10.1007/s12040-017-0907-y

Zebker, H., & Villasenor, J. (1992). Decorrelation in interferometric radar echoes. IEEE Transactions on Geoscience and Remote Sensing 30 (5), pp. 950-959.

Published

2021-03-12

How to Cite

Paniagua-Jiménez, D. N., Valverde-Calderón, J., Molina-Calderón, P., & Barrantes-Castillo, G. (2021). Application of Persistent Scatterer Interferometry method (PSI) in Limón, Costa Rica. Geographical Journal of Central America, 2(67), 23-51. https://doi.org/10.15359/rgac.67-2.1

Issue

Section

Theory, Epistemology, Methodology (Evaluated by peers)

How to Cite

Paniagua-Jiménez, D. N., Valverde-Calderón, J., Molina-Calderón, P., & Barrantes-Castillo, G. (2021). Application of Persistent Scatterer Interferometry method (PSI) in Limón, Costa Rica. Geographical Journal of Central America, 2(67), 23-51. https://doi.org/10.15359/rgac.67-2.1

Most read articles by the same author(s)