Relevant bibliographies by topics / Multitemporal interferometry

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Multitemporal interferometry'

Author: Grafiati
Published: 10 March 2023

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Journal articles on the topic "Multitemporal interferometry"

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Askne, J., M. Santoro, G. Smith, and J. E. S. Fransson. "Multitemporal repeat-pass sar interferometry of boreal forests." IEEE Transactions on Geoscience and Remote Sensing 41, no. 7 (July 2003): 1540–50. http://dx.doi.org/10.1109/tgrs.2003.813397.

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Askne, J., and M. Santoro. "Multitemporal repeat pass SAR interferometry of boreal forests." IEEE Transactions on Geoscience and Remote Sensing 43, no. 6 (June 2005): 1219–28. http://dx.doi.org/10.1109/tgrs.2005.846878.

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Wang, Yingjie, Yunkai Deng, Robert Wang, and Jili Wang. "Adaptive Multilooking Based on Complex Patch for Multitemporal Interferometry." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 11, no. 3 (March 2018): 907–18. http://dx.doi.org/10.1109/jstars.2018.2795012.

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Khalili, Mohammad Amin, Behzad Voosoghi, Luigi Guerriero, Saeid Haji-Aghajany, Domenico Calcaterra, and Diego Di Martire. "Mapping of Mean Deformation Rates Based on APS-Corrected InSAR Data Using Unsupervised Clustering Algorithms." Remote Sensing 15, no. 2 (January 16, 2023): 529. http://dx.doi.org/10.3390/rs15020529.

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Different interferometric approaches have been developed over the past few decades to process SAR data and recover surface deformation, and each approach has advantages and limitations. Finding an accurate and reliable interval for preparing mean deformation rate maps (MDRMs) remains challenging. The primary purpose of this paper is to implement an application consisting of three unsupervised clustering algorithms (UCAs) for determining the best interval from SAR-derived deformation data, which can be used to interpret long-term deformation processes, such as subsidence, and identify displacement patterns. Considering Port Harcourt (in the Niger Delta) as the study area, it was essential to remove the sources of error in extracting deformation signals from SAR data, spatially ionospheric and tropospheric delays, before using UCAs to obtain its characteristics and real deformation data. Moreover, another purpose of this paper is to implement the advanced integration method (AIM) for atmospheric phase screen (APS) correction to enhance deformation signals obtained through different SAR processing approaches, including interferometric SARs (two-pass interferometry, InSAR) and multitemporal interferometry SARs (n-pass interferometry, DInSAR; permanent scatterer interferometry (PSI); and small baseline subset (SBAS)). Two methods were chosen to evaluate and find the best technique with which to create an MDRM: The first one was to compare the signals corrected by the AIM and the vertical component of the GPS station, which showed the AIM providing 58%, 42%, and 28% of the matching with GNSS station outputs for InSAR, PSI, and SBAS, respectively. Secondly, similarity measures and Davies–Bouldin index scores were implemented to find an accurate and reliable interval in which the SBAS technique with the unsupervised K-medians method has been chosen. Based on GNSS vertical deformation in a 500 m radius around the station, the SBAS K-medians technique expressed up to 5.5% better deformation patterns than the map of SAR processing techniques.
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González, Pablo J., and José Fernández. "Drought-driven transient aquifer compaction imaged using multitemporal satellite radar interferometry." Geology 39, no. 6 (June 2011): 551–54. http://dx.doi.org/10.1130/g31900.1.

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Palamà, R., M. Crosetto, O. Monserrat, A. Barra, B. Crippa, M. Mróz, N. Kotulak, M. Mleczko, and J. Rapinski. "ANALYSIS OF MINING-INDUCED TERRAIN DEFORMATION USING MULTITEMPORAL DISTRIBUTED SCATTERER SAR INTERFEROMETRY." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2022 (May 30, 2022): 321–26. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2022-321-2022.

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Abstract. This work addresses a methodology based on the Interferometric Synthetic Aperture Radar (InSAR) to analyse and monitor ground motion phenomena induced by underground mining activities, in the Legnica-Glogow Copper District, south-western Poland. Two stacks of ascending and descending Sentinel-1 Synthetic Aperture Radar (SAR) images are processed with a small baseline multitemporal approach. A simple method to select interferograms with high coherence and eliminated images with low redundancy is implemented to optimize the interferogram netwrork. The estimated displacement maps and time series show the effect of both linear and impulsive ground motion and are validated against Global Navigation Satellite System (GNSS) measurements.
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Papoutsis, Ioannis, Charalampos Kontoes, Stavroula Alatza, Alexis Apostolakis, and Constantinos Loupasakis. "InSAR Greece with Parallelized Persistent Scatterer Interferometry: A National Ground Motion Service for Big Copernicus Sentinel-1 Data." Remote Sensing 12, no. 19 (October 1, 2020): 3207. http://dx.doi.org/10.3390/rs12193207.

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Advances in synthetic aperture radar (SAR) interferometry have enabled the seamless monitoring of the Earth’s crust deformation. The dense archive of the Sentinel-1 Copernicus mission provides unprecedented spatial and temporal coverage; however, time-series analysis of such big data volumes requires high computational efficiency. We present a parallelized-PSI (P-PSI), a novel, parallelized, and end-to-end processing chain for the fully automated assessment of line-of-sight ground velocities through persistent scatterer interferometry (PSI), tailored to scale to the vast multitemporal archive of Sentinel-1 data. P-PSI is designed to transparently access different and complementary Sentinel-1 repositories, and download the appropriate datasets for PSI. To make it efficient for large-scale applications, we re-engineered and parallelized interferogram creation and multitemporal interferometric processing, and introduced distributed implementations to best use computing cores and provide resourceful storage management. We propose a new algorithm to further enhance the processing efficiency, which establishes a non-uniform patch grid considering land use, based on the expected number of persistent scatterers. P-PSI achieves an overall speed-up by a factor of five for a full Sentinel-1 frame for processing in a 20-core server. The processing chain is tested on a large-scale project to calculate and monitor deformation patterns over the entire extent of the Greek territory—our own Interferometric SAR (InSAR) Greece project. Time-series InSAR analysis was performed on volumes of about 12 TB input data corresponding to more than 760 Single Look Complex Sentinel-1A and B images mostly covering mainland Greece in the period of 2015–2019. InSAR Greece provides detailed ground motion information on more than 12 million distinct locations, providing completely new insights into the impact of geophysical and anthropogenic activities at this geographic scale. This new information is critical to enhancing our understanding of the underlying mechanisms, providing valuable input into risk assessment models. We showcase this through the identification of various characteristic geohazard locations in Greece and discuss their criticality. The selected geohazard locations, among a thousand, cover a wide range of catastrophic events including landslides, land subsidence, and structural failures of various scales, ranging from a few hundredths of square meters up to the basin scale. The study enriches the large catalog of geophysical related phenomena maintained by the GeObservatory portal of the Center of Earth Observation Research and Satellite Remote Sensing BEYOND of the National Observatory of Athens for the opening of new knowledge to the wider scientific community.
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Neokosmidis, S., P. Elias, I. Parcharidis, and P. Briole. "Earthquake-induced deformation estimation of earth dam by multitemporal SAR interferometry: the Mornos Dam case (Central Greece)." Natural Hazards and Earth System Sciences Discussions 2, no. 12 (December 22, 2014): 7807–35. http://dx.doi.org/10.5194/nhessd-2-7807-2014.

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Abstract. The scope of this paper concerns the investigation of Mornos earth Dam (Central Greece) deformation induced by major earthquake events occur in the broader area. For this purpose multitemporal SAR interferometry method was used. Specifically, the technique of Differential Interferometry SBAS and for the time series analysis the Singular Value Decomposition algorithm were applied. The data used were ascending and descending acquisitions of AMI / ERS-1 & 2 and ASAR / ENVISAT scenes covering the period 1993–2010. Five very strong seismic events with epicenters close to the dam, at the same period, were consider as potential sources of deformation. Lake level changes were also considered as an additional factor of induced deformation. Results show a maximum deformation rate of 10 cm along the line of sight for the whole period. Although the observed deformation appears to be due to changes in water level following a particular pattern, there are discontinuous over time which coincide with specific seismic events.
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Beccaro, Lisa, Cristiano Tolomei, Roberto Gianardi, Vincenzo Sepe, Marina Bisson, Laura Colini, Riccardo De Ritis, and Claudia Spinetti. "Multitemporal and Multisensor InSAR Analysis for Ground Displacement Field Assessment at Ischia Volcanic Island (Italy)." Remote Sensing 13, no. 21 (October 22, 2021): 4253. http://dx.doi.org/10.3390/rs13214253.

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Volcanic islands are often affected by ground displacement such as slope instability, due to their peculiar morphology. This is the case of Ischia Island (Naples, Italy) dominated by the Mt. Epomeo (787 m a.s.l.), a volcano-tectonic horst located in the central portion of the island. This study aims to follow a long temporal evolution of ground deformations on the island through the interferometric analysis of satellite SAR data. Different datasets, acquired during Envisat, COSMO-SkyMed and Sentinel-1 satellite missions, are for the first time processed in order to obtain the island ground deformations during a time interval spanning 17 years, from November 2002 to December 2019. In detail, the multitemporal differential interferometry technique, named small baseline subset, is applied to produce the ground displacement maps and the associated displacement time series. The results, validated through the analysis and the comparison with a set of GPS measurements, show that the northwestern side of Mt. Epomeo is the sector of the island characterized by the highest subsidence movements (maximum vertical displacement of 218 mm) with velocities ranging from 10 to 20 mm/yr. Finally, the displacement time series allow us to correlate the measured ground deformations with the seismic swarm started with the Mw 3.9 earthquake that occurred on 21 August 2017. Such correlations highlight an acceleration of the ground, following the mainshock, characterized by a subsidence displacement rate of 0.12 mm/day that returned to pre-earthquake levels (0.03 mm/day) after 6 months from the event.
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H. Miky, Yehia. "Multitemporal Sentinel-1SAR Interferometry for Surface Deformation Monitoring near High Dam in Aswan, Egypt." American Journal of Geographic Information System 8, no. 2 (March 1, 2019): 96–102. http://dx.doi.org/10.5923/j.ajgis.20190802.05.

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Dissertations / Theses on the topic "Multitemporal interferometry"

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Montalti, Roberto. "Regional scale satellite monitoring for hydrogeological risk reduction." Doctoral thesis, 2021. http://hdl.handle.net/2158/1238084.

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In the last decade satellite remote sensing has become an effective tool for monitoring geo-hazard-induced ground motions, and has been increasingly used by scientific community. Geo-hazards direct and indirect costs are currently rising, causing serious socio-economics and casualty losses. Therefore, creating a priority list turns out to be essential to highlight the most relevant ground deformations and to better focus the risk management practices at regional scale. The Sentinel-1 constellation, thanks to the 6-days repeatability and the free availability of the data, allows to easily update the geo-hazard-induced ground motions, compared to other kind of satellite sensors. In this PhD Thesis, the potentialities and drawbacks of the interferometric technique have been presented and then exploited to define three different procedures, applied in different environment and at different scales, for the use of multi-band PSI products. This thesis work represents the main outcome of a three yearslong activity at the Department of Earth Sciences of the University of Florence, Centre technologic de telecomunicacions de Catalunya research center and TRE-Altamira (Barcelona). The main goal is to test and evaluate the potential and applicability of space-borne SAR data, processed by means of different PSI approaches, as operational tools for the characterization of geohazards in different geological and geomorphological environments. For this work, two Italian test areas at regional scale are been selected: Tuscany and Valle d’Aosta Regions. Furthermore a site at detailed scale was analyzed, the mining area of Saline di Volterra (Tuscany). The main goal of the thesis hinges on illustrating different methodologies that could be merged in one single workflow to detect active moving areas, characterize them in detail and cross-correlate the satellite data with ancillary information, implementing the obtained products and results in the Civil Protection chain and geohazard risk management. The proposed case studies were intended as examples, although referred to different environments and geohazards, for the working approaches to be used from regional to detailed scale. For the Tuscany Region, there were exploited Sentinel-1 images for active moving areas detection at regional scale. A hotspot-like methodology was used, exploiting the temporal repetitiveness of Sentinel-1 data analysed by means of the SqueeSAR algorithm to create deformation maps in three different periods with a 6 months update. Thanks to a filtering approach based on a velocity threshold, it was possible extract a total of 652 deformation clusters, divided in three different periods, to study their spatial and temporal evolution. The final output is a flexible geo-database that contains interferometric parameters, geographical, geomorphological and geological information, a brief evaluation of the possible triggering cause and information about the temporal evolution of the moving areas. For the Valle d’Aosta Region, it was used a clustering analysis applied to a large stack of Sentinel-1 satellite interferometric products that has been derived using the SqueeSAR algorithm. Valle d’Aosta Region is an alpine region characterized by a wide spectrum of mass wasting phenomena. The approach, based on simple GIS tools and indexes, allowed detecting 277 moving areas above the selected velocity threshold. Overall, landslides (complex, rotational, Deep Seated Gravitational Slope Deformation (DSGSD)), rock glacier evolution and detrital-related deformation are responsible for the detected motions. In mountainous areas, where the field data collection is sometimes limited or impossible, the presented approach is intended to create priority areas to be focused for further investigations. In this way, it is possible to increase, with reduced economic and personnel costs, the “landslide knowledge” of all the actors involved within the landslide risk management chain at regional scale. In this context, easily updatable clustering methodologies are very useful tools for MTInSAR data analysts; it is possible to obtain reliable results in a fast way and to compare them with previous results. Well knowing the limitations of the interferometric technique, especially in mountain regions, it is reasonable to rely on clustering approaches in order to derive multi-temporal synoptic views of ground motions over wide areas. For the Saline di Volterra case, it is presented a local scale application of multi-temporal satellite interferometry targeting a solution mining area in southern Tuscany. The surroundings of Saline di Volterra host several brine wells that pump water into a salt level at a depth ranging between 60 and 400 m below surface. The mining activity has a relevant environmental impact in terms of depletion of the water resources and in terms of ground motion, creating several sinkholes which were mapped through multi-temporal analysis of orthophotos. The deformation map, obtained through the analysis of Sentinel-1 images, revealed the presence of several subsidence bowls, sometimes corresponding to sinkholes formed in the recent past. The subsidence bowls have a common deformation pattern, with LOS velocities increasing forward the center of the bowl. The temporal evolution of the measurement points can vary a lot on case-basis. Finally, a correlation between LOS velocities and age of formation of sinkholes have been found. The Sentinel-1 images were processed with an ad hoc processing chain, elaborated in Centre Technologic Telecomunicacions Catalunya research center (Barcelona). With this new procedure, it was possible to detect fast deformation rates that are usually puzzling to solve in mining areas. This detailed scale and target-oriented approach demonstrated its capability to provide useful information in terms of density of measurement points and quality of the time series.
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Shan, Monan. "Permafrost Deformation Monitoring and Interpretation Using InSAR Technique in Northeastern China and Aosta Valley Region, Italy." Doctoral thesis, 2021. http://hdl.handle.net/2158/1247205.

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InSAR algorithms have been widely applied in monitoring and mapping for the purposes of engineering geology research and the InSAR derived products have been extensively used in geological risk management by administrative entities and Emergency Management authorities. In this PhD thesis, the research was focusing on the application of InSAR technique, including conventional DInSAR and advanced SqueeSARTM in cold regions, (1) to locate the deformation hotspot caused by permafrost degradation, then to improve the regional permafrost mapping; (2) to analyze the deformation characteristics caused by the degradation of permafrost temporally and spatially. The research was developed on two sites of cold regions of different geomorphologies. The first case study was focusing on the detection of permafrost degradation phenomena using DInSAR and SqueeSARTM in the low-land permafrost distributed hilly regions in northern Heilongjiang Province, northeastern China. The study area is located at the southern margin of Siberia permafrost region, which is the largest area of the permafrost distribution in the northern Hemisphere. Studies have been revealing that the increasing mean annual air temperature in this study area has been causing the degradation of permafrost in decades and have been bringing geological risks to man-made infrastructures. Initially, the SqueeSARTM analyses using C-band Sentinel-1 and L-band ALOS PALSAR were conducted to reveal the overall displacements time series in the extracted permanent and distributed scatterers of the study area. Then the DInSAR analyses using Sentinel-1 and ALOS PALSAR data were completed to map the deformation hotspot of the study area. Lastly, by combination of the results acquired by SqueeSARTM and DInSAR analyses, the possible spatial distribution of permafrost deformation hotspot was mapped. PS and DS in the permafrost deformation hotspot are selected and analyzed to reveal the characteristics of permafrost degradation in the study area. The results indicate that in the permafrost distributed areas, the deformation velocity has been reduced in recent years from 2015 to 2019 than 2007 to 2010, roughly a decade ago. It could be related to the final degradation phase of the permafrost in recent years. In the second case study, the feasibility of DInSAR and SqueeSARTM in the study of active rock glacier in Alpine environments of mountainous geomorphologies of Aosta Valley Region, Italy was demonstrated, and the deformation characteristics corresponding to the seasonality of active rock glacier were discovered. The seasonal dynamic feature of the active rock glaciers was then analyzed using the regional monitoring results of Aosta Valley Region using Sentinel-1 SqueeSARTM technique and the regional active rock glacier investigation dataset. Interestingly, according to the result of the analysis, the displacement time series of active rock glacier in Aosta Valley Region has shown a half-year lapse compared with the change of regional annual air temperature that is contradictive to the conventional understanding of permafrost deformation dynamics. The driving factor of such phenomena was left unfound and open to the future analysis. Second, combined with high-resolution optical remote sensing imagery, the conventional DInSAR analysis using ALOS PALSAR data collected in summer season of 2007 has detected more active rock glaciers than the regional active rock glacier investigation dataset. The results have provided the possibility of further analysis of improving active rock glacier mapping using InSAR method in the future. In conclusion, this research highlights the value of using spaceborne DInSAR and SqueeSARTM methods in mapping and monitoring active periglacial landforms in cold regions at regional scale. Thanks to its short revisiting time and medium to high spatial resolution, Sentinel-1 data can be used for systematic and continuous monitoring of ground deformation, especially slow and very slow periglacial processes due to the changing climate in cold regions but the effectiveness of the usage of Sentinel-1 in dealing with winter snow cover and dense vegetation should be enhanced. On the other hand, L-band ALOS PALSAR data has solved the problem of vegetation coverage, which extensively exists in the cold region that has limited the capability of InSAR monitoring. The methods mentioned in this thesis are intended to be implemented in the regional or local geological hazard management in both study areas.
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Book chapters on the topic "Multitemporal interferometry"

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Perissin, Daniele. "Interferometric SAR Multitemporal Processing: Techniques and Applications." In Multitemporal Remote Sensing, 145–76. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47037-5_8.

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Pepe, Antonio. "Advanced Multitemporal Phase Unwrapping Techniques for DInSAR Analyses." In Recent Interferometry Applications in Topography and Astronomy. InTech, 2012. http://dx.doi.org/10.5772/34224.

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Askne, Jan, and Maurizio Santoro. "Experiences in Boreal Forest Stem Volume Estimation from Multitemporal C-Band InSAR." In Recent Interferometry Applications in Topography and Astronomy. InTech, 2012. http://dx.doi.org/10.5772/35102.

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Wasowski, Janusz, and Fabio Bovenga. "Remote Sensing of Landslide Motion with Emphasis on Satellite Multitemporal Interferometry Applications." In Landslide Hazards, Risks and Disasters, 345–403. Elsevier, 2015. http://dx.doi.org/10.1016/b978-0-12-396452-6.00011-2.

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Alexander Correa-Muñoz, Nixon, and Carol Andrea Murillo-Feo. "The Potential of Remote Sensing to Assess Conditioning Factors for Landslide Detection at a Regional Scale: The Case in Southeastern Colombia." In Slope Engineering [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.94251.

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This landslide detection research applied remote sensing techniques. Morphometry to derive both DEM terrain parameters and land use variables. SAR interferometry (InSAR) for showing that InSAR coherence and InSAR displacement obtained with SRTM DEM 30 m resolution were strongly related to landslides. InSAR coherence values from 0.43 to 0.66 had a high association with landslides. PS-InSAR allowed to estimate terrain velocities in the satellite line-of-sight (LOS) in the range − 10 to 10 mm/year concerning extremely slow landslide displacement rates. SAR polarimetry (PolSAR) was used over L-band UAVSAR quad-pol data, obtaining the scattering mechanism of volume and surface retrodispersion more associated with landslides. The optical remote sensing with a multitemporal approach for change detection by multi-year Landsat (5, 7 and 8)-NDVI, showed that NDVI related to landslides had values between 0.42 and 0.72. All the information was combined into a multidimensional grid product and crossed with training data containing a Colombian Geologic Service (CGS) landslide inventory. A detection model was implemented using the Random Forest supervised method relating the training sample of landslides with multidimensional explanatory variables. A test sample with a proportion of 70:30 allowed to find the accuracy of detection of about 70.8% for slides type.
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Conference papers on the topic "Multitemporal interferometry"

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Pasquariello, Guido, Fabio Bovenga, and Alberto Refice. "Analysis of displacement time series from multitemporal SAR interferometry (Conference Presentation)." In Active and Passive Microwave Remote Sensing for Environmental Monitoring III, edited by Claudia Notarnicola, Nazzareno Pierdicca, Fabio Bovenga, and Emanuele Santi. SPIE, 2019. http://dx.doi.org/10.1117/12.2533608.

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Solorza, Romina, Claudio Carignano, Marcela Cioccale, and Claudia Notarnicola. "Ground Surface Subsidence in Córdoba, Argentina, revealed by multitemporal SAR interferometry." In 2022 IEEE Biennial Congress of Argentina (ARGENCON). IEEE, 2022. http://dx.doi.org/10.1109/argencon55245.2022.9940078.

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GKARTZOU, E., I. Parcharidis, E. Karymbalis, and MARIA LOUIZA Drakatou. "Multitemporal SAR Interferometry in the Messolonghi-Etoliko Natura 2000 Overlapping Deltas Area." In Fringe2015: Advances in the Science and Applications of SAR Interferometry and Sentinel-1 InSAR Workshop. European Space Agency, 2015. http://dx.doi.org/10.5270/fringe2015.pp218.

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Amitrano, Donato, Francesca Cecinati, Gerardo Di Martino, Antonio Iodice, Deniele Riccio, and Giuseppe Ruello. "Urban Areas Extraction from Multitemporal SAR RGB Images Using Interferometric Coherence and Textural Information." In Fringe2015: Advances in the Science and Applications of SAR Interferometry and Sentinel-1 InSAR Workshop. European Space Agency, 2015. http://dx.doi.org/10.5270/fringe2015.pp114.

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Guillaso, Stephane, and Franck Garestier. "Deformation estimation on low coherence areas by means of polarimetric differential SAR interferometry." In 2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (Multi-Temp). IEEE, 2015. http://dx.doi.org/10.1109/multi-temp.2015.7245748.

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Depountis, Nikolaos, Katerina Kavoura, Konstantinos Nikolakopoulos, George Drakatos, Panagiotis Argyrakis, Panagiotis Elias, and Nikolaos Sabatakakis. "Landslide monitoring using geotechnical, UAV, GNSS and MTInSAR instrumentation." In 5th Joint International Symposium on Deformation Monitoring. Valencia: Editorial de la Universitat Politècnica de València, 2022. http://dx.doi.org/10.4995/jisdm2022.2022.13818.

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Many mountainous villages have been struck by landslides in Western Greece due to growing urbanization and uncontrolled land use in landslide prone areas, without considering the engineering geological environment. The presence of the tectonically highly sheared and weathered geological formations of the alpine basement (such as flysch) and the intense geomorphological relief, strongly contribute to the periodically induced instability phenomena mainly triggered by heavy rainfalls and extreme meteorological events. The current research combines long-term monitoring of the parameters connected to the landslide activity with the real-time kinematics observation in a dense-populated mountainous village located in the Region of Epirus in Greece. The landslide movements evolve very low velocity values at different depths; thus, the landslide cases can be characterized as complex and "extremely slow". The long-term monitoring is carried out by several in-place and portable inclinometer probes that permit the detailed observation of subsurface displacements for an extended period. In addition, GNSS measurements, very high-resolution multitemporal interferometry (accompanied with the installation of corner reflectors) and Unmanned Aerial Vehicle (UAV) photogrammetric surveys are used for the monitoring of surface deformation. All instrumentation is installed in the wider area of the landslide zone and one of the main goals of this approach is to combine long-term monitoring of the parameters connected to the landslide activity with the observation of the landslide kinematics in real-time.
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Borghys, D., C. Perneel, and A. Bouaraba. "Activity monitoring in a commercial harbor using multitemporal repeat-pass interferometric SAR data." In IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2012. http://dx.doi.org/10.1109/igarss.2012.6351941.

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Liu, Jian G., Fiona Hilton, Philippa Mason, and Hoonyol Lee. "RS/GIS study of rapid erosion in SE Spain using ERS SAR multitemporal interferometric coherence imagery." In Europto Remote Sensing, edited by Manfred Owe, Guido D'Urso, and Eugenio Zilioli. SPIE, 2001. http://dx.doi.org/10.1117/12.413954.

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