El Proyecto Mompa: Protocolos De Actuación Basados en El Monitoreo Mediante Interferometría Satelital Radar (Insar)

Barra, Anna; Colell, Xavier; Echeverría, Anna; Trapero, Laura; Marturià, Jordi; Fabregat, Ivan; Gao, Qi; Cuevas-González, María; Gasc, Muriel; Buxó, Pere; Dufour, Nathalie; Luzi, G.; Crosetto, Michele

doi:10.4995/cigeo2021.2021.12709

Cited by 2 publications

(2 citation statements)

References 32 publications

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“…The first test was carried out installing an AR close to the campus of the university UPC (Universitat Politècnica de Catalunya), nearby the city of Barcelona (Spain), where stable buildings can be used as a reference to check the AR response; here we briefly report the final outcomes of this experiment described in detail in [3]. The second campaign was carried out within the MOMPA project (Monitoring of Ground Movements and Action Protocol [4]) activities focused on the landslide event of La Portalada (Andorra) that occurred in 2019. Today the slope shows a slow movement that could affect a main road located at the bottom of the valley.…”

Section: Introductionmentioning

confidence: 99%

DInSAR deformation measurement using active and passive reflectors

Luzi

Espin-Lopez

Crosetto

et al. 2021

Microwave Remote Sensing: Data Processing and Applications

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Passive Corner Reflectors (PCR) are often used in spaceborne SAR interferometry as benchmarks. The main goal of the use of PCRs in DInSAR deformation monitoring is to provide pixels with a high and stable response to be used as reference to estimate the deformation when natural persistent scatters are not available. The use of PCRs at C band is not always suitable, especially in areas as glaciers, snow covered regions, and mountain slopes, where accessibility and PCRs' installation can be very time and cost consuming, or where harsh weather conditions can jeopardize their performance. An alternative to PCRs is Active Reflectors (AR), more compact and lighter apparatus, which need a power source, and are often susceptible to the natural air temperature variations which can affect the stability of their response. The study presented here reports on the use of an AR designed to operate with Sentinel-1 SAR data, installed with some PCRs aimed at comparing the performance of the two approaches. The AR was designed and implemented to provide a fair performance/cost benefit to make feasible the setup of a dense network. Images covering almost one year have been processed to compare the performance of a prototype installed close to our center. A real campaign was also carried out installing an AR together with a network of PCRs in a site, located in a mountain area of Andorra, where a landslide occurred in 2018, and where a monitoring based on DInSAR is ongoing.

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Section: Introductionmentioning

confidence: 99%

DInSAR deformation measurement using active and passive reflectors

Luzi

Espin-Lopez

Crosetto

et al. 2021

Microwave Remote Sensing: Data Processing and Applications

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“…The Potential Damage Map (PDM), the exposed buildings classified based on the local intensity gradients, could be the input value for advanced vulnerability analysis and potential loss estimations. The methodology based on the displacement gradients, from ADAs to PDM, is now being applied in the frame of the project MOMPA (Barra et al, 2021a(Barra et al, , 2021bFabregat et al, 2022;Gasc-Barbier et al, 2021), to propose actuation protocols based on MTInSAR data for the slow landslide of Canillo (Andorra). The methodology explained in Section 3.6 is totally based on free remote-sensing data (i.e., S1, RSTM, OpenOpenStreetMap), which makes it globally applicable with low costs.…”

Section: Discussionmentioning

confidence: 99%

Advanced exploitation of Sentinel-1 data for supporting landslide risk analysis

Barra¹

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Satellite Synthetic Aperture Radar Interferometry (InSAR) and Persistent Scatterer Interferometry (PSI) are now consolidated tools for ground movement detection and monitoring. Sentinel-1 (S1) is the first satellite providing free data access and ensuring a regular acquisition worldwide, every 6 days, increasing its potential for long-term monitoring applications. Several regional and national ground motion services are already active, providing products based on S1 data. Soon in 2022 the first European Ground Motion Service (EGMS) will be available and freely provide a displacement map over the whole Europe, with annual updates. This implies a strong expansion of availability of PSI-based displacement maps and an easy access for anyone, with an increasing interest among a wider range of users, including public or governmental institutions, academia, industry, and citizens. The analysis and interpretation of this amount of data is difficult and time consuming, mostly for non-expert InSAR users. The objective of this work is developing methodologies to simplify the operational use of PSI displacement maps, generating derived products with a clear message, easy-to-interpret, and fast to read. We propose a method to be applied over regional scale PSI displacement maps, to fast detect the most significant Active Deformation Areas (ADAs). The ADA map is a first product that allows a fast focusing on the active areas, to prioritize further analysis and investigation. Starting from the ADAs, the potential phenomena are attributed to each area through a preliminary interpretation based on auxiliary data, to derive the Geohazard Activity Map. In this work, a methodology to include the ADA information in the Civil Protection Activities is proposed, with the main output called Vulnerable Elements Activity Maps (VEAM). An application of the VEAM is illustrated in the Canary Islands. Furthermore, the ADA map is used in the Valle d'Aosta Region (Northern of Italy) to generate vulnerability and potential loss maps. Finally, a methodology to derive potential damage maps of the exposed buildings, based on the spatial gradients of movement, is proposed, and applied in a coastal area of the Province of Granada (Spain). A pack of software tools has been developed based on the proposed methods to extract ADA and then classify them to generate a Geohazard Activity Map. The set of tools is called ADATools, it is open-access, easy to use and fast, improving the operational exploitation of PSI regional-scale displacement maps. All the methodologies have been developed in the frame of several European projects (Safety, U-Geohaz, MOMIT and RISKCOAST), and are aimed at supporting the multi-scale territorial management and risk analysis activities, with a specific focus on landslides. La interferometría satelital radar (InSAR) y la interferometría de dispersores persistentes (PSI) son herramientas consolidadas para la detección y el monitoreo de movimientos de la superficie de la Tierra. Sentinel-1 (S1) es el primer satélite que proporciona acceso gratuito a los datos y garantiza una adquisición regular en todo el mundo, cada 6 días, aumentando su potencial para aplicaciones de monitoreo a largo plazo. Varios Ground Motion Services regionales y nacionales ya están activos, proporcionando productos basados en datos S1. Pronto, en 2022, el primer servicio europeo (European Ground Motion Service - EGMS) estará disponible y facilitará libremente un mapa de movimientos de toda Europa, con actualizaciones anuales. Esto implica un aumento de la disponibilidad de mapas de movimientos basados en PSI y un fácil acceso para cualquier persona, con un interés creciente entre una amplia gama de usuarios, incluyendo instituciones públicas o gubernamentales, academias, industrias y ciudadanos. El análisis e interpretación de esta cantidad de datos es difícil y consume mucho tiempo, mayormente para usuarios no expertos en la técnica. El objetivo de este trabajo es desarrollar metodologías para simplificar el uso operativo de los mapas de desplazamiento PSI, generando productos derivados con un mensaje claro, fácil de interpretar, y rápido de leer. Se propone un método para detectar rápidamente las Áreas de Deformación Activas (ADAs) más significativas, a partir de mapas de desplazamiento PSI de escala regional. El mapa de las ADAs es un primer producto que permite un enfoque rápido en las áreas activas, útil para priorizar el análisis y las investigaciones adicionales. A partir de las ADAs, se propone una interpretación preliminar basada en datos auxiliares, que atribuye a cada área el fenómeno que está detrás del movimiento, generando el Geohazard Activity Map (GAM). Después, se propone una metodología para incluir la información de las ADAs en las actividades de protección civil, generando los Vulnerable Element Activity Maps (VEAM), a través de su aplicación en las Islas Canarias. Además, el mapa de las ADAs se utiliza en la región de Valle D'Aosta (norte de Italia) para generar mapas de vulnerabilidad y posibles pérdidas económicas. Finalmente, se propone una metodología para obtener mapas de daños potenciales de los edificios expuestos, basados en los gradientes espaciales de movimiento, y se aplica en un área costera de la provincia de Granada (España). A partir de los métodos propuestos para extraer y clasificar las ADAs, y de otros métodos de análisis existentes, se ha desarrollado un paquete de herramientas, los ADAtools, de acceso abierto, fáciles de usar y rápidas, que optimizan la explotación operativa de los mapas de desplazamiento de escala regional. Todas las metodologías se han desarrollado en el marco de varios proyectos europeos (Safety, U-Geohaz, MOMIT y RISKCOAST), y están dirigidos a apoyar las actividades de gestión territorial y análisis de riesgos, con un enfoque específico a los deslizamientos de tierra.

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El Proyecto Mompa: Protocolos De Actuación Basados en El Monitoreo Mediante Interferometría Satelital Radar (Insar)

Cited by 2 publications

References 32 publications

DInSAR deformation measurement using active and passive reflectors

DInSAR deformation measurement using active and passive reflectors

Advanced exploitation of Sentinel-1 data for supporting landslide risk analysis

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