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Добірка наукової літератури з теми "Sentinel missions"

Автор: Grafiati

Опубліковано: 11 березня 2023

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Статті в журналах з теми "Sentinel missions"

Scharroo, Remko, Hans Bonekamp, Christelle Ponsard, François Parisot, Axel von Engeln, Milen Tahtadjiev, Kristiaan de Vriendt, and François Montagner. "Jason continuity of services: continuing the Jason altimeter data records as Copernicus Sentinel-6." Ocean Science 12, no. 2 (April 1, 2016): 471–79. http://dx.doi.org/10.5194/os-12-471-2016.

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Abstract. The Sentinel-6 mission is proposed as a multi-partner programme to continue the Jason satellite altimeter data services beyond the Jason-2 and Jason-3 missions. The Sentinel-6 mission programme consists of two identical satellites flying in sequence to prolong the climate data record of sea level accumulated by the TOPEX/Poseidon, Jason-1, Jason-2, and Jason-3 missions from 2020 to beyond 2030. The Sentinel-6 mission intends to maintain these services in a fully operational manner. A key feature is the simultaneous pulse-limited and synthetic aperture radar processing allowing direct and continuous comparisons of the sea surface height measurements based on these processing methods and providing backward compatibility. The Sentinel-6 mission will also include radio occultation user services.

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Scharroo, R., H. Bonekamp, C. Ponsard, F. Parisot, A. von Engeln, M. Tahtadjiev, K. de Vriendt, and F. Montagner. "Jason continuity of services: continuing the Jason altimeter data records as Copernicus Sentinel-6." Ocean Science Discussions 12, no. 6 (December 3, 2015): 2931–53. http://dx.doi.org/10.5194/osd-12-2931-2015.

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Timmermans, Renske, Arjo Segers, Lyana Curier, Rachid Abida, Jean-Luc Attié, Laaziz El Amraoui, Henk Eskes, et al. "Impact of synthetic space-borne NO<sub>2</sub> observations from the Sentinel-4 and Sentinel-5P missions on tropospheric NO<sub>2</sub> analyses." Atmospheric Chemistry and Physics 19, no. 19 (October 14, 2019): 12811–33. http://dx.doi.org/10.5194/acp-19-12811-2019.

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Abstract. We present an Observing System Simulation Experiment (OSSE) dedicated to the evaluation of the added value of the Sentinel-4 and Sentinel-5P missions for tropospheric nitrogen dioxide (NO2). Sentinel-4 is a geostationary (GEO) mission covering the European continent, providing observations with high temporal resolution (hourly). Sentinel-5P is a low Earth orbit (LEO) mission providing daily observations with a global coverage. The OSSE experiment has been carefully designed, with separate models for the simulation of observations and for the assimilation experiments and with conservative estimates of the total observation uncertainties. In the experiment we simulate Sentinel-4 and Sentinel-5P tropospheric NO2 columns and surface ozone concentrations at 7 by 7 km resolution over Europe for two 3-month summer and winter periods. The synthetic observations are based on a nature run (NR) from a chemistry transport model (MOCAGE) and error estimates using instrument characteristics. We assimilate the simulated observations into a chemistry transport model (LOTOS-EUROS) independent of the NR to evaluate their impact on modelled NO2 tropospheric columns and surface concentrations. The results are compared to an operational system where only ground-based ozone observations are ingested. Both instruments have an added value to analysed NO2 columns and surface values, reflected in decreased biases and improved correlations. The Sentinel-4 NO2 observations with hourly temporal resolution benefit modelled NO2 analyses throughout the entire day where the daily Sentinel-5P NO2 observations have a slightly lower impact that lasts up to 3–6 h after overpass. The evaluated benefits may be even higher in reality as the applied error estimates were shown to be higher than actual errors in the now operational Sentinel-5P NO2 products. We show that an accurate representation of the NO2 profile is crucial for the benefit of the column observations on surface values. The results support the need for having a combination of GEO and LEO missions for NO2 analyses in view of the complementary benefits of hourly temporal resolution (GEO, Sentinel-4) and global coverage (LEO, Sentinel-5P).

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Kern, Michael, Robert Cullen, Bruno Berruti, Jerome Bouffard, Tania Casal, Mark R. Drinkwater, Antonio Gabriele, et al. "The Copernicus Polar Ice and Snow Topography Altimeter (CRISTAL) high-priority candidate mission." Cryosphere 14, no. 7 (July 16, 2020): 2235–51. http://dx.doi.org/10.5194/tc-14-2235-2020.

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Abstract. The Copernicus Polar Ice and Snow Topography Altimeter (CRISTAL) mission is one of six high-priority candidate missions (HPCMs) under consideration by the European Commission to enlarge the Copernicus Space Component. Together, the high-priority candidate missions fill gaps in the measurement capability of the existing Copernicus Space Component to address emerging and urgent user requirements in relation to monitoring anthropogenic CO2 emissions, polar environments, and land surfaces. The ambition is to enlarge the Copernicus Space Component with the high-priority candidate missions in the mid-2020s to provide enhanced continuity of services in synergy with the next generation of the existing Copernicus Sentinel missions. CRISTAL will carry a dual-frequency synthetic-aperture radar altimeter as its primary payload for measuring surface height and a passive microwave radiometer to support atmospheric corrections and surface-type classification. The altimeter will have interferometric capabilities at Ku-band for improved ground resolution and a second (non-interferometric) Ka-band frequency to provide information on snow layer properties. This paper outlines the user consultations that have supported expansion of the Copernicus Space Component to include the high-priority candidate missions, describes the primary and secondary objectives of the CRISTAL mission, identifies the key contributions the CRISTAL mission will make, and presents a concept – as far as it is already defined – for the mission payload.

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Frery, Marie-Laure, Mathilde Siméon, Christophe Goldstein, Pierre Féménias, Franck Borde, Alexandre Houpert, and Ana Olea Garcia. "Sentinel-3 Microwave Radiometers: Instrument Description, Calibration and Geophysical Products Performances." Remote Sensing 12, no. 16 (August 12, 2020): 2590. http://dx.doi.org/10.3390/rs12162590.

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Copernicus Sentinel-3 Surface Topography Mission embarks a two-channel microwave radiometer combined with the altimeter in order to correct the altimeter range for the excess path delay resulting from the presence of water vapour in the troposphere. The in-flight calibration of a single instrument is the critical point to achieve the expected performances. In the context of a constellation, the inter-calibration is even more important. After a presentation of the instrument design, we present the diagnoses used for the calibration of Sentinel-3A, using vicarious calibration over specific areas and double difference methods. The inter-calibration of Sentinel-3B with Sentinel-3A is performed during the tandem phase, using the residual differences of co-located measurements. Finally performances are assessed at crossover points with two parameters, first the wet troposphere correction by comparison with Jason-3; secondly on the Sea Surface Height by difference of variance. Analysis results have shown that Sentinel-3A is well calibrated, consistent with other instruments, and that Sentinel-3B is calibrated within 0.4 K with Sentinel-3A as a reference. Performances and stability fulfill the requirements for both missions.

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Phiri, Darius, Matamyo Simwanda, Serajis Salekin, Vincent R. Nyirenda, Yuji Murayama, and Manjula Ranagalage. "Sentinel-2 Data for Land Cover/Use Mapping: A Review." Remote Sensing 12, no. 14 (July 16, 2020): 2291. http://dx.doi.org/10.3390/rs12142291.

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The advancement in satellite remote sensing technology has revolutionised the approaches to monitoring the Earth’s surface. The development of the Copernicus Programme by the European Space Agency (ESA) and the European Union (EU) has contributed to the effective monitoring of the Earth’s surface by producing the Sentinel-2 multispectral products. Sentinel-2 satellites are the second constellation of the ESA Sentinel missions and carry onboard multispectral scanners. The primary objective of the Sentinel-2 mission is to provide high resolution satellite data for land cover/use monitoring, climate change and disaster monitoring, as well as complementing the other satellite missions such as Landsat. Since the launch of Sentinel-2 multispectral instruments in 2015, there have been many studies on land cover/use classification which use Sentinel-2 images. However, no review studies have been dedicated to the application of ESA Sentinel-2 land cover/use monitoring. Therefore, this review focuses on two aspects: (1) assessing the contribution of ESA Sentinel-2 to land cover/use classification, and (2) exploring the performance of Sentinel-2 data in different applications (e.g., forest, urban area and natural hazard monitoring). The present review shows that Sentinel-2 has a positive impact on land cover/use monitoring, specifically in monitoring of crop, forests, urban areas, and water resources. The contemporary high adoption and application of Sentinel-2 can be attributed to the higher spatial resolution (10 m) than other medium spatial resolution images, the high temporal resolution of 5 days and the availability of the red-edge bands with multiple applications. The ability to integrate Sentinel-2 data with other remotely sensed data, as part of data analysis, improves the overall accuracy (OA) when working with Sentinel-2 images. The free access policy drives the increasing use of Sentinel-2 data, especially in developing countries where financial resources for the acquisition of remotely sensed data are limited. The literature also shows that the use of Sentinel-2 data produces high accuracies (>80%) with machine-learning classifiers such as support vector machine (SVM) and Random forest (RF). However, other classifiers such as maximum likelihood analysis are also common. Although Sentinel-2 offers many opportunities for land cover/use classification, there are challenges which include mismatching with Landsat OLI-8 data, a lack of thermal bands, and the differences in spatial resolution among the bands of Sentinel-2. Sentinel-2 data show promise and have the potential to contribute significantly towards land cover/use monitoring.

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Berger, Michael, and Josef Aschbacher. "Preface: The Sentinel missions—new opportunities for science." Remote Sensing of Environment 120 (May 2012): 1–2. http://dx.doi.org/10.1016/j.rse.2011.12.026.

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Zawadzki, L., and M. Ablain. "Accuracy of the mean sea level continuous record with future altimetric missions: Jason-3 vs. Sentinel-3a." Ocean Science 12, no. 1 (January 15, 2016): 9–18. http://dx.doi.org/10.5194/os-12-9-2016.

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Abstract. The current mean sea level (MSL) continuous record, essential to understanding the climate evolution, is computed with the altimetric measurements of the TOPEX/Poseidon mission, succeeded by Jason-1 and later Jason-2. The accurate continuity of the record is ensured by the conservation of the "historical" TOPEX orbit as well as by calibration phases between the successive missions which enable a rigorous computation of their relative biases. In order to extend the current MSL record, Jason-3 will be the natural successor of Jason-2: on the same orbit with a calibration phase. Shortly after Jason-3, another altimetric climate-oriented mission, Sentinel-3a, will be launched on a different orbit. In this paper, simulated altimetric sea level data are used to study the sensitivity of the MSL continuous record to the change of the "historical" orbit for the new Sentinel-3a orbit. By estimating the impact of the absence of calibration phase on the MSL continuous record trend accuracy at the global and regional scales and the impact of the orbit change on the long-term continuity of this MSL record, this study shows that linking Sentinel-3a data instead of Jason-3 to the MSL continuous record would not meet climate user requirements regarding the MSL trend accuracy.

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Zawadzki, L., and M. Ablain. "Accuracy of the mean sea level continuous record with future altimetric missions: Jason-3 vs. Sentinel-3a." Ocean Science Discussions 12, no. 4 (July 17, 2015): 1511–36. http://dx.doi.org/10.5194/osd-12-1511-2015.

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Abstract. The current mean sea level (MSL) continuous record, essential for the understanding of climate evolution, is computed with the altimetric measurements of the TOPEX/Poseidon mission, succeeded by Jason-1 and later Jason-2. The accurate continuity of the record is ensured by the conservation of the "historical" TOPEX orbit, but also by calibration phases between the successive missions which enable a rigorous computation of their relative biases. In order to extend the current MSL record, Jason-3 will be the natural successor of Jason-2: on the same orbit with a calibration phase. Shortly after Jason-3, another altimetric climate-oriented mission, Sentinel-3a, will be launched on a different orbit. In this paper, simulated altimetric sea level data is used to study the sensitivity of the MSL continuous record to the change of the "historical" orbit for the new Sentinel-3a orbit. By estimating the impact of the absence of calibration phase on the MSL continuous record trend accuracy at global and regional scale and the impact of the orbit change on the long-term continuity of this MSL record, this study shows that linking Sentinel-3a data instead of Jason-3 to the MSL continuous record would prevent from meeting climate users requirements regarding the MSL trend accuracy.

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Radočaj, Dorijan, Jasmina Obhođaš, Mladen Jurišić, and Mateo Gašparović. "Global Open Data Remote Sensing Satellite Missions for Land Monitoring and Conservation: A Review." Land 9, no. 11 (October 23, 2020): 402. http://dx.doi.org/10.3390/land9110402.

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The application of global open data remote sensing satellite missions in land monitoring and conservation studies is in the state of rapid growth, ensuring an observation with high spatial and spectral resolution over large areas. The purpose of this study was to provide a review of the most important global open data remote sensing satellite missions, current state-of-the-art processing methods and applications in land monitoring and conservation studies. Multispectral (Landsat, Sentinel-2, and MODIS), radar (Sentinel-1), and digital elevation model missions (SRTM, ASTER) were analyzed, as the most often used global open data satellite missions, according to the number of scientific research articles published in Web of Science database. Processing methods of these missions’ data consisting of image preprocessing, spectral indices, image classification methods, and modelling of terrain topographic parameters were analyzed and demonstrated. Possibilities of their application in land cover, land suitability, vegetation monitoring, and natural disaster management were evaluated, having high potential in broad use worldwide. Availability of free and complementary satellite missions, as well as the open-source software, ensures the basis of effective and sustainable land use management, with the prerequisite of the more extensive knowledge and expertise gathering at a global scale.

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Більше джерел

Дисертації з теми "Sentinel missions"

Premier, Valentina. "Development of Novel Approaches to Snow Parameter Retrieval in Alpine Areas by Using Multi-temporal and Multi-sensor Remote Sensing Images." Doctoral thesis, Università degli studi di Trento, 2022. https://hdl.handle.net/11572/356729.

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Snow represents an important resource in mountainous regions. Monitoring its extent and amount is relevant for several applications, such as hydrology, ecology, avalanche monitoring, or hydropower production. However, a correct understanding of the high spatial and temporal variability of snow accumulation, redistribution and ablation processes requires its monitoring in a spatialized and detailed way. Recently, the launch of the Sentinel missions has opened the doors to new approaches that mainly exploit high resolution (HR) data having a spatial detail of few dozens of m. In this thesis, we aimed at exploiting these new sources of information to retrieve important parameters related to the snowmelt processes. In detail, we i) investigated the use of Sentinel-1 Synthetic Aperture Radar (SAR) observations to evaluate snowmelt dynamics in alpine regions, ii) developed a novel approach based on a hierarchical multi-resolution analysis of optical time-series to reconstruct the daily HR snow cover area (SCA), and iii) explored the combination of HR SCA time-series, SAR snowmelt information and other multi-source data to reconstruct a daily HR snow water equivalent (SWE) time-series. In detail, in the first work we analyzed the relationship between the snowmelt phases of a snowpack and the multi-temporal SAR backscattering. We found that the SAR is able to provide useful information about the moistening, ripening and runoff phases. In the second work, we exploited the snow pattern repetition on an inter-annual basis driven by the geomorphological features of a study area to carry out historical analyses. Thus, we took advantage of these repeated patterns to fuse low resolution and HR satellite optical data and set up a gap filling to derive daily HR snow cover area (SCA) time-series. These two research works are the pillars for the last contribution, which aims at combining all these information sources together with both in-situ data and a simple yet robust degree day model that provides an estimate of the potential melting to derive daily HR SWE time-series. These final results have an unprecedented spatial detail, that allows to sample the phenomena linked to the complex snow accumulation, redistribution and ablation processes with the required spatial and temporal resolution. The methodology and the results of each experimental work are illustrated and discussed in detail in the chapters of this thesis, with a look on further research and potential applications.

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COSTANTINI, FABIANO. "Potential of advanced SAR interferometric techniques of the new generation C-band Sentinel-1 SAR mission." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2014. http://hdl.handle.net/2108/214219.

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Rodes, Arnau Isabel. "Estimation de l'occupation des sols à grande échelle pour l'exploitation d'images d'observation de la Terre à hautes résolutions spatiale, spectrale et temporelle." Thesis, Toulouse 3, 2016. http://www.theses.fr/2016TOU30375/document.

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Les missions spatiales d'observation de la Terre de nouvelle génération telles que Sentinel-2 (préparé par l'Agence Spatiale Européenne ESA dans le cadre du programme Copernicus, auparavant appelé Global Monitoring for Environment and Security ou GMES) ou Venµs, conjointement développé par l'Agence Spatiale Française (Centre National d 'Études Spatiales CNES) et l'Agence Spatiale Israélienne (ISA), vont révolutionner la surveillance de l'environnement d' aujourd'hui avec le rendement de volumes inédits de données en termes de richesse spectrale, de revisite temporelle et de résolution spatiale. Venµs livrera des images dans 12 bandes spectrales de 412 à 910 nm, une répétitivité de 2 jours et une résolution spatiale de 10 m; les satellites jumeaux Sentinel-2 assureront une couverture dans 13 bandes spectrales de 443 à 2200 nm, avec une répétitivité de 5 jours, et des résolutions spatiales de 10 à 60m. La production efficace de cartes d'occupation des sols basée sur l'exploitation de tels volumes d'information pour grandes surfaces est un défi à la fois en termes de coûts de traitement mais aussi de variabilité des données. En général, les méthodes classiques font soit usage des approches surveillées (trop coûteux en termes de travaux manuels pour les grandes surfaces), ou soit ciblent des modèles locaux spécialisés pour des problématiques précises (ne s'appliquent pas à autres terrains ou applications), ou comprennent des modèles physiques complexes avec coûts de traitement rédhibitoires. Ces approches existantes actuelles sont donc inefficaces pour l'exploitation du nouveau type de données que les nouvelles missions fourniront, et un besoin se fait sentir pour la mise en œuvre de méthodes précises, rapides et peu supervisées qui permettent la généralisation à l'échelle de grandes zones avec des résolutions élevées. Afin de permettre l'exploitation des volumes de données précédemment décrits, l'objectif de ce travail est la conception et validation d'une approche entièrement automatique qui permet l'estimation de la couverture terrestre de grandes surfaces avec imagerie d'observation de la Terre de haute résolution spatiale, spectrale et temporelle, généralisable à des paysages différents, et offrant un temps de calcul opérationnel avec ensembles de données satellitaires simulés, en préparation des prochaines missions. Cette approche est basée sur l'intégration d'algorithmes de traitement de données, tels que les techniques d'apprentissage de modèles et de classification, et des connaissances liées à l'occupation des sols sur des questions écologiques et agricoles, telles que les variables avec un impact sur la croissance de la végétation ou les pratiques de production. Par exemple, la nouvelle introduction de température comme axe temporel pour un apprentissage des modèles ultérieurs intègre un facteur établi de la croissance de la végétation à des techniques d'apprentissage automatiques pour la caractérisation des paysages. Une attention particulière est accordée au traitement de différentes questions, telles que l'automatisation, les informations manquantes (déterminées par des passages satellitaires, des effets de réflexion des nuages, des ombres ou encore la présence de neige), l'apprentissage et les données de validation limitées, les échantillonnages temporels irréguliers (différent nombre d'images disponible pour chaque période et région, données inégalement réparties dans le temps), la variabilité des données, et enfin la possibilité de travailler avec différents ensembles de données et nomenclatures
The new generation Earth observation missions such as Sentinel-2 (a twin-satellite initiative prepared by the European Space Agency, ESA, in the frame of the Copernicus programme, previously known as Global Monitoring for Environment and Security or GMES) and Venµs, jointly developed by the French Space Agency (Centre National d'Études Spatiales, CNES) and the Israeli Space Agency (ISA), will revolutionize present-day environmental monitoring with the yielding of unseen volumes of data in terms of spectral richness, temporal revisit and spatial resolution. Venµs will deliver images in 12 spectral bands from 412 to 910 nm, a repetitivity of 2 days, and a spatial resolution of 10 m; the twin Sentinel-2 satellites will provide coverage in 13 spectral bands from 443 to 2200 nm, with a repetitivity of 5 days, and spatial resolutions of 10 to 60m. The efficient production of land cover maps based on the exploitation of such volumes of information for large areas is challenging both in terms of processing costs and data variability. In general, conventional methods either make use of supervised approaches (too costly in terms of manual work for large areas), target specialised local models for precise problem areas (not applicable to other terrains or applications), or include complex physical models with inhibitory processing costs. These existent present-day approaches are thus inefficient for the exploitation of the new type of data that the new missions will provide, and a need arises for the implementation of accurate, fast and minimally supervised methods that allow for generalisation to large scale areas with high resolutions. In order to allow for the exploitation of the previously described volumes of data, the objective of this thesis is the conception, design, and validation of a fully automatic approach that allows the estimation of large-area land cover with high spatial, spectral and temporal resolution Earth observation imagery, being generalisable to different landscapes, and offering operational computation times with simulated satellite data sets, in preparation of the coming missions

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Книги з теми "Sentinel missions"

Olejar, Paul D. Sentinel at the crossroads: The Methodist Episcopal Coke Mission of Western Pennsylvania, 1883-1933. New Brighton, PA (H.G. Clear, Conference Historian, R.D. 2, Box 135, New Brighton 15066): Commission on Archives and History, Western Pennsylvania Conference, United Methodist Church, 1991.

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Demons, saints & patriots: Catholic visions of Native America through the Indian sentinel, 1902-1962. Milwaukee, Wis: Marquette University Press, 2009.

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Stoneham-Tewkesbury, Société d'histoire de, ed. Le sentier des Jésuites,1676-1703, ou, Le maître-sentier des Innus-Montagnais de Québec au lac Saint-Jean. Montréal]: Éditions Histoire Québec, 2008.

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Kabanda, Carol Lwamba. The beginning of the end: What if the person you trusted the most was your worst enemy? what if the person you despised the most was your sentinel? [Dartford, United Kingdom]: Xlibris Corporation, 2012.

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Test Mission (Sentinel). Spotlight, 2007.

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Частини книг з теми "Sentinel missions"

Nieke, Jens, Constantin Mavrocordatos, Craig Donlon, Bruno Berruti, Thierry Garnier, Jean-Bernard Riti, and Yves Delclaud. "Ocean and Land Color Imager on Sentinel-3." In Optical Payloads for Space Missions, 223–45. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118945179.ch10.

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Coppo, Peter, Dave Smith, and Jens Nieke. "Sea and Land Surface Temperature Radiometer on Sentinel-3." In Optical Payloads for Space Missions, 701–14. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118945179.ch32.

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Cristo, Alejandro, Pablo Martínez, David Valencia, Rosa M. Pérez, and Luz M. Hernández. "Adaptation of the Diffused Matrix Image Format to Store Simulated Data from FLEX / Sentinel-3 Future ESA Missions." In Advances in Intelligent and Soft Computing, 377–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23154-4_42.

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Di Cicco, Annalisa, Remika Gupana, Alexander Damm, Simone Colella, Federico Angelini, Luca Fiorani, Florinda Artuso, et al. "“Flex 2018” Cruise: an opportunity to assess phytoplankton chlorophyll fluorescence retrieval at different observative scales." In Proceedings e report, 688–97. Florence: Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-147-1.68.

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The “FLEX 2018” cruise, organized by the CNR-ISMAR in frame of the ESA “FLEXSense Campaign 2018” and CMEMS project, provided a ground station for several bio-optical instruments that investigated the coastal waters of the Tyrrhenian Sea in June 2018. The field measurements were performed in time synergy with Sentinel 3A and Sentinel 3B satellites and HyPlant airborne imaging spectrometer. Active and passive fluorescence were investigated at different scales in coastal waters to support preparatory activities of the FLuorescence EXplorer (FLEX) satellite mission.

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Gomes da Silva, Paula, Anne-Laure Beck, Jara Martinez Sanchez, Raúl Medina Santanmaria, Martin Jones, and Amine Taji. "Advances on coastal erosion assessment from satellite earth observations: exploring the use of Sentinel products along with very high resolution sensors." In Proceedings e report, 412–21. Florence: Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-147-1.41.

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This work proposes the use of automatic co-registered satellite images to obtain large, high frequency and highly accurate shorelines time series. High resolution images are used to co-register Landsat and Sentinel-2 images. 90% of the co-registered images presented vertical and horizontal shift lower than 3 m. Satellite derived shorelines presented errors lower than mission’s precision. A discussion is presented on the applicability of those shorelines through an application to Tordera Delta (Spain).

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Huntley, David, Drew Rotheram-Clarke, Roger MacLeod, Robert Cocking, Philip LeSueur, Bill Lakeland, and Alec Wilson. "Scalable Platform for UAV Flight Operations, Data Capture, Cloud Processing and Image Rendering of Landslide Hazards and Surface Change Detection for Disaster-Risk Reduction." In Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022, 49–61. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-18471-0_4.

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AbstractThis International Programme on Landslide (IPL) Project 202 paper presents a scalable remote piloted aircraft system (RPAS) platform that streamlines unoccupied aerial vehicle (UAV) flight operations for data capture, cloud processing and image rendering to inventory and monitor slow-moving landslides along the national railway transportation corridor in southwestern British Columbia, Canada. Merging UAV photogrammetry, ground-based real-time kinematic global navigation satellite system (RTK-GNSS) measurements, and satellite synthetic aperture radar interferometry (InSAR) datasets best characterizes the distribution, morphology and activity of landslides over time. Our study shows that epochal UAV photogrammetry, benchmarked with periodic ground-based RTK-GNSS measurements and satellite InSAR platforms with repeat visit times of weeks (e.g., RADARSAT-2 and SENTINEL-1) to days (e.g. RADARSAT Constellation Mission) provides rapid landslide monitoring capability with cm-scale precision and accuracy.

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Manzoni, Marco. "Fast and Robust Estimation of Atmospheric Phase Screens Using C-Band Spaceborne SAR and GNSS Calibration." In Special Topics in Information Technology, 131–40. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15374-7_11.

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AbstractOver the last few years, a growing interest has been observed in the field of Interferometric Synthetic Aperture Radar (InSAR) meteorology. The atmosphere has always been seen as a disturbance in interpreting interferograms (the output product of InSAR processing). A space-borne radar, however, can sense the refractive index of the medium it travels. The refractive index, in turn, is sensitive to pressure, temperature, and humidity of the air. Therefore, SAR data contains information about the atmosphere’s status and can be exploited by Numerical Weather Prediction Models (NWPM) as additional information to improve weather forecasts. This chapter investigates a fast and robust method for generating the so-called Atmospheric Phase Screens (APS) from InSAR data. The method exploits both Permanent Scatterers (PS) and Distributed Scatterers (DS) in an optimal way leading to wide and dense APS maps. When operating at large scales, it is also mandatory to calibrate the data using a network of Global Navigation Satellite System (GNSS) receivers. The calibration can remove the so-called Orbital Phase Screens (OPS) that otherwise severely corrupt the atmospheric measurements. Results using real data acquired by the European Sentinel-1 mission show the potential of InSAR meteorology to provide valuable data to improve weather forecasts.

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Béhague, Martine, Olivier Hagolle, Sylvia Sylvander, Jean-Marc Walter, Florian Delmas, Laurence Houpert, and Frédéric Daniaud. "TAKE5 Experiment Jazzes Up SPOT5’s End of Operational Life, Repurposing SPOT5 to Simulate the New Sentinel-2 Mission." In Space Operations: Contributions from the Global Community, 585–613. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51941-8_26.

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Baró, Rocío, Marie D. Mulder, Delia Arnold, Stefano Natali, Ramiro Marco Figuera, and Marcus Hirtl. "Combining sentinel observations with plume backtrackings to improve wildfire detection." In Advances in Forest Fire Research 2022, 105–8. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_16.

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During the last decades, there has been an increase in wildfires around the globe. Climate change with higher temperatures and lower humidity, due to changing precipitation patterns, is the main factor raising the fire risk. Using earth observations is an important method to detect wildfires. Especially in areas far from populated regions, satellites support the identification of wildfires and allow issuing warnings in case of a developing event. In wildfire detection methods using satellite data, the occurrence of false alarms is unavoidable. The main goal of this work is to improve the detection of wildfires by using state-of-the-art earth observation data, specifically data from Sentinel missions, together with modelling approaches in a combined new methodology. Most of the current methods to detect wildfires by earth observations mainly use a single satellite-based data source to retrieve surface information. The benefit to existing methods is that surface- and atmospheric observations from Sentinels-3 and -5P will be combined, with the aim to reduce the number of false alarms. Sentinel-3 and Sentinel-5P can be used as independent data sources, the former is able to detect thermal anomalies in the surface, and the latter is capable of detecting direct fire emissions such as CO and HCHO in the atmosphere. The combined use with the Lagrangian particle dispersion model FLEXPART will allow the backtracking of fire emissions plus the aerosol mid height from Sentinel-5P to better identify wildfires sources. For this purpose, so called â€˜source-receptor sensitivitiesâ€™ are calculated, that provide information on the times and areas potentially contributing to the observed plume. Finally, identified wildfires can be validated using Sentinel-2 images. The innovation of our approach is to combine sentinel observations with atmospheric smoke plume simulations, by applying a dispersion model in backward mode to backtrack the possible source region of the smoke plume.

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"Alphasat, Sentinel-1A/B, Sentinel-2A/B, and EDRS Paving theWay for Systematic Optical Data Transfer for Earth Observation Missions." In Advances in Communications Satellite Systems Proceedings of The 36th International Communications Satellite Systems Conference (ICSSC-2018), 145–58. Institution of Engineering and Technology, 2019. http://dx.doi.org/10.1049/pbte086e_ch22.

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Тези доповідей конференцій з теми "Sentinel missions"

Bazalgette Courrèges-Lacoste, G., Y. Meijer, J. L. Bézy, M. Arcioni, P. Bensi, and J. Langen. "Sentinel-4: the geostationary component of the GMES atmosphere monitoring missions." In International Conference on Space Optics 2008, edited by Josiane Costeraste, Errico Armandillo, and Nikos Karafolas. SPIE, 2017. http://dx.doi.org/10.1117/12.2308287.

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Giardino, Giosue Andrey, Paolo Pasquali, John Peter Merryman Boncori, Josep Rosello, and Christopher Buck. "Analysis of bistatic tomography for SAOCOM-CS and Sentinel-1 CS missions." In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2017. http://dx.doi.org/10.1109/igarss.2017.8127496.

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Brown, Luke A., Jadunandan Dash, Antonio L. Lidon, Ernesto Lopez-Baeza, and Steffen Dransfeld. "Validation of the Sentinel-3 Ocean and Land Colour Instrument (OLCI) Terrestrial Chlorophyll Index (OTCI): Synergetic Exploitation of the Sentinel-2 Missions." In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. http://dx.doi.org/10.1109/igarss.2018.8518076.

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Sanjuan-Ferrer, Maria J., Mariantonietta Zonno, Paco Lopez-Dekker, Freek van Leijen, and Ramon Hanssen. "Towards product-level performance models for Sentinel-1 follow-on missions: Deformation measurements case study." In IGARSS 2015 - 2015 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2015. http://dx.doi.org/10.1109/igarss.2015.7327017.

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Bruzzone, Lorenzo, Francesca Bovolo, Claudia Paris, Yady Tatiana Solano-Correa, Massimo Zanetti, and Diego Fernandez-Prieto. "Analysis of multitemporal Sentinel-2 images in the framework of the ESA Scientific Exploitation of Operational Missions." In 2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp). IEEE, 2017. http://dx.doi.org/10.1109/multi-temp.2017.8035230.

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Potin, Pierre, Betlem Rosich, Nuno Miranda, Patrick Grimont, Pier Bargellini, Eric Monjoux, Jolyon Martin, et al. "Sentinel-1 mission status." In IGARSS 2015 - 2015 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2015. http://dx.doi.org/10.1109/igarss.2015.7326401.

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Potin, Pierre, Betlem Rosich, Nuno Miranda, Patrick Grimont, Pier Bargellini, Eric Monjoux, Jolyon Martin, et al. "Sentinel-1 mission status." In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2017. http://dx.doi.org/10.1109/igarss.2017.8128255.

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Attema, Evert, Malcolm Davidson, Paul Snoeij, Bjorn Rommen, and Nicolas Floury. "Sentinel-1 mission overview." In 2009 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2009). IEEE, 2009. http://dx.doi.org/10.1109/igarss.2009.5416921.

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Potin, Pierre, Betlem Rosich, Johannes Roeder, and Pier Bargellini. "Sentinel-1 Mission operations concept." In IGARSS 2014 - 2014 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2014. http://dx.doi.org/10.1109/igarss.2014.6946713.

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Snoeij, Paul, Evert Attema, Malcolm Davidson, Guido Levrini, Bjorn Rommen, and Nicolas Floury. "Sentinel-1 CSAR mission status." In SPIE Europe Remote Sensing, edited by Roland Meynart, Steven P. Neeck, and Haruhisa Shimoda. SPIE, 2009. http://dx.doi.org/10.1117/12.829623.

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Звіти організацій з теми "Sentinel missions"

Rieu, Pierre, Samira Amraoui, and Marco Restano. Standalone Multi-mission Altimetry Processor (SMAP). European Space Agency, June 2021. http://dx.doi.org/10.5270/esa-cnes.sentinel-3.smap.

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SMAP is a standalone altimeter data processor written in Python 3 (3.7.3). It implements in particular the fully-focused SAR (FF-SAR) processing (both time-domain and frequency-domain algorithms). SMAP is currently able to process Sentinel-3 L1a Ground Segment products. This processor has been developed though studies and projects funded by ESA and CNES.

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Choe, B.-H., A. Blais-Stevens, S. Samsonov, and J. Dudley. RADARSAT Constellation Mission (RCM) InSAR preliminary observations of slope movements in British Columbia, Alberta, and Nunavut. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331099.

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The Geological Survey of Canada (GSC)mp;gt;'s Public Safety Geoscience Program (PSGP) has collaborated with the Canada Centre for Remote Sensing (CCRS) to assess the performance of new RCM data for monitoring slope movements. The PSGP has the mandate to study natural hazards and provide baseline geoscience information to help stakeholders and decision-makers mitigate against potential risk. This report provides preliminary results observed from new RCM InSAR data acquired over 21 sites in British Columbia (BC), Alberta (AB), and Nunavut (NU) from April 2020 to September 2021. , In some cases, comparisons with RCM imagery were made with RADARSAT-2 and Sentinel-1 observations. A total of 13 sites in BC, two sites in AB, and six sites in NU that are located close to communities and/or infrastructure were investigated. From these, we acquired a total of 1235 RCM single look complex (SLC) images of HH polarization (ascending: 514, descending: 721) from April 2020 to September 2021. Most were acquired with 3 m very-high-resolution and/or 5 m high-resolution modes. Based on the preliminary observations, the advantages and limitations of RCM InSAR for landslide monitoring are highlighted.

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