Gotowe bibliografie tematyczne / Sentinel satellites

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Gotowa bibliografia na temat „Sentinel satellites”

Autor: Grafiati
Data publikacji: 3 czerwca 2025
Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Sentinel satellites"

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Peter, Heike, Jaime Fernández, and Pierre Féménias. "Copernicus Sentinel-1 satellites: sensitivity of antenna offset estimation to orbit and observation modelling." Advances in Geosciences 50 (March 27, 2020): 87–100. http://dx.doi.org/10.5194/adgeo-50-87-2020.

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Abstract. The SAR (Synthetic Aperture Radar) Copernicus Sentinel-1 satellites require a high orbit accuracy of 5 cm in 3D in comparison to external processing facilities. The official orbit products delivered by the Copernicus POD (Precise Orbit Determination) Service fulfil this requirement. Nevertheless, analyses have shown discrepancies in the orbit results for the two satellites Sentinel-1A and Sentinel-1B. Since the satellites are identical in construction estimated orbit parameters like the scale factor for the radiation pressure are expected to be at the same magnitude, which is not the
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Iurist (Dumitraşcu), Nicoleta, Florian Stătescu, and Iustina Lateş. "Analysis of Land Cover and Land Use Changes Using Sentinel-2 Images." Present Environment and Sustainable Development 10, no. 2 (2016): 161–72. http://dx.doi.org/10.1515/pesd-2016-0034.

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Abstract Earth observation and space analysis of land areas, oceanic and atmospheric phenomena is a necessity nowadays. European Space Agency (ESA) is developing a new family of satellites, called Sentinel, in order to perform the operational needs of the environmental monitoring program, Copernicus. Since 2014 until now ESA have successfully launched four satellites, which have a proven track record. This paper contains information about Sentinel constellation, features of the satellite images and also the applications of Sentinel satellite images. This paper also describes how to purchase sa
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An, Zhiyuan, Peng Chen, Fucai Tang, Xueying Yang, Rong Wang, and Zhihao Wang. "Evaluating the Performance of Seven Ongoing Satellite Altimetry Missions for Measuring Inland Water Levels of the Great Lakes." Sensors 22, no. 24 (2022): 9718. http://dx.doi.org/10.3390/s22249718.

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Satellite altimetry can provide long-term water level time series for water bodies lacking hydrological stations. Few studies have evaluated the performance of HY-2C and Sentinel-6 satellites in inland water bodies, as they have operated for less than 1 and 2 years, respectively. This study evaluated the measured water level accuracy of CryoSat-2, HY-2B, HY-2C, ICESat-2, Jason-3, Sentinel-3A, and Sentinel-6 in the Great Lakes by in-situ data of 12 hydrological stations from 1 January 2021 to 1 April 2022. Jason-3 and Sentinel-6 have the lowest mean root-mean-square-error (RMSE) of measured wat
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Tarpanelli, Angelica, Alessandro C. Mondini, and Stefania Camici. "Effectiveness of Sentinel-1 and Sentinel-2 for flood detection assessment in Europe." Natural Hazards and Earth System Sciences 22, no. 8 (2022): 2473–89. http://dx.doi.org/10.5194/nhess-22-2473-2022.

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Abstract. Inundation is one of the major natural hazards in Europe. The evaluation of the flood hazard and risk is not straightforward mainly due to the monitoring system that is poor or not uniformly distributed in the territory. The ESA Earth Observation Program, including a series of satellites, Sentinels, for the operative observation of the natural phenomenon, e.g. the inundations, can potentially reduce the gap. Sentinel-1 (SAR: synthetic aperture radar) and Sentinel-2 (optical) have been demonstrated to be suitable for mapping flooded areas, but despite the medium–high spatial and tempo
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Declaro, Alexis, and Shinjiro Kanae. "Enhancing Surface Water Monitoring through Multi-Satellite Data-Fusion of Landsat-8/9, Sentinel-2, and Sentinel-1 SAR." Remote Sensing 16, no. 17 (2024): 3329. http://dx.doi.org/10.3390/rs16173329.

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Long revisit intervals and cloud susceptibility have restricted the applicability of earth observation satellites in surface water studies. Integrating multiple satellites offers potential for more frequent observations, yet combining different satellite sources, particularly optical and SAR satellites, presents complexities. This research explores the data-fusion potential and limitations of Landsat-8/9 Operational Land Imager (OLI), Sentinel-2 Multispectral Instrument (MSI), and Sentinel-1 Synthetic Aperture (SAR) satellites to enhance surface water monitoring. By focusing on segmented surfa
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Mansaray, Abubakarr S., Andrew R. Dzialowski, Meghan E. Martin, Kevin L. Wagner, Hamed Gholizadeh, and Scott H. Stoodley. "Comparing PlanetScope to Landsat-8 and Sentinel-2 for Sensing Water Quality in Reservoirs in Agricultural Watersheds." Remote Sensing 13, no. 9 (2021): 1847. http://dx.doi.org/10.3390/rs13091847.

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Agricultural runoff transports sediments and nutrients that deteriorate water quality erratically, posing a challenge to ground-based monitoring. Satellites provide data at spatial-temporal scales that can be used for water quality monitoring. PlanetScope nanosatellites have spatial (3 m) and temporal (daily) resolutions that may help improve water quality monitoring compared to coarser-resolution satellites. This work compared PlanetScope to Landsat-8 and Sentinel-2 in their ability to detect key water quality parameters. Spectral bands of each satellite were regressed against chlorophyll a,
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Sahda Nabila, Cut, and Muhammad Taufik. "Towards Water Hyacinth Identification using Index Vegetation from Sentinel-1 and Sentinel-2 in Selorejo Dam." IOP Conference Series: Earth and Environmental Science 1418, no. 1 (2024): 012003. https://doi.org/10.1088/1755-1315/1418/1/012003.

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Abstract Water hyacinths have become a significant issue at the Selorejo Dam in recent years. The invasive nature of this plant and the dam’s location, surrounded by rice fields, make predicting the growth of water hyacinths at the Selorejo Dam challenging. Several studies have applied passive remote sensing satellite technology, such as Sentinel-2A/B, to observe water hyacinth growth as a substitute for in-situ observations, which are limited by time and area coverage. However, considering that rainfall in the Selorejo Dam area can reach up to 3000 mm/year, passive satellites alone may not su
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Narin, O. G., C. Bayik, S. Abdikan, and F. Balik Sanli. "USING RVI AND NDVI TIME SERIES FOR CROPLAND MAPPING WITH TIME-WEIGHTED DYNAMIC TIME WARPING." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W3-2022 (December 2, 2022): 97–101. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w3-2022-97-2022.

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Abstract. Monitoring and management of agricultural lands are essential due to reasons affecting agriculture, such as increasing population and global climate. With the increase in the temporal resolution of satellite systems, time-series classifications have become popular in cropland mapping. Because annual plants can give similar spectral reflectance values on the same date. In this context, agricultural land (∼500 km2) was selected in the south of South Dakota in the United States. The area includes alfalfa, corn, soybeans, winter wheat plants, developed, grassland/pasture, herbaceous wetl
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McMillan, Malcolm, Alan Muir, and Craig Donlon. "Brief communication: Ice sheet elevation measurements from the Sentinel-3A and Sentinel-3B tandem phase." Cryosphere 15, no. 7 (2021): 3129–34. http://dx.doi.org/10.5194/tc-15-3129-2021.

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Abstract. Over the coming decade, the quartet of Copernicus Sentinel-3 satellite altimeters will provide a continuous record of ice sheet elevation change. Ensuring consistency of measurement between the four satellites requires rigorous in-flight inter-comparison. To facilitate this, Sentinel-3B was initially flown in a unique tandem formation with Sentinel-3A, enabling near-instantaneous, co-located measurements of surface elevation to be acquired. Here, we analyse tandem measurements of ice sheet elevation, to show that both instruments operate with statistically equivalent accuracy and pre
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Qin, Dan, Yongjun Jia, Mingsen Lin, and Shanwei Liu. "Performance Evaluation of China’s First Ocean Dynamic Environment Satellite Constellation." Remote Sensing 15, no. 19 (2023): 4780. http://dx.doi.org/10.3390/rs15194780.

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China’s first dynamic environment satellite constellation includes the HY-2B, HY-2C, and HY-2D satellites. In this study, the along track SLA, SWH, and SSWS of this satellite constellation were evaluated. SLA parameters are evaluated using self-crossing and dual-crossing methods. The SSWS and SWH data were evaluated by comparing with NDBC buoy and other available satellites’ data. The evaluation revealed that the standard deviation of the SLA from the HY-2B/C/D satellites’ single mission crossovers was 3.29 cm, 3.51 cm, and 3.72 cm, respectively. In addition, at the dual-crossovers of the Jaso
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Rozprawy doktorskie na temat "Sentinel satellites"

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Yépez, Figueroa Santiago Paul. "Etude intégrée de la dynamique des flux hydrosédimentaires dans le bas cours du fleuve Orénoque (Venezuela) par mesures in-situ et télédétection." Thesis, Toulouse 3, 2018. http://www.theses.fr/2018TOU30167/document.

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L'objectif principal de cette thèse est d'étudier la dynamique des flux hydrosédimentaires dans le bas cours de l'Orénoque à partir de la mise en œuvre de diverses techniques qui combinent directement la mesure des données in situ et la modélisation par séries chronologiques d'images satellites. Cette thèse aborde pour la première fois trois méthodologies complémentaires pour analyser les flux hydrosédimentaires dans les grands fleuves : (i) un algorithme d'inversion robuste pour l'estimation de MES à l'aide de données Landsat-8(OLI)permet de suivre de façon systématique et fiable les variatio
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Cavonius, Johansson Hanna, and Jens Henriksson. "Skattning av skogliga variabler genom satellitbilder från Sentinel 2 : Estimation of forest variables using satellite images from Sentinel 2." Thesis, Linnéuniversitetet, Institutionen för skog och träteknik (SOT), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-94004.

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Stora arealer skog behöver övervakas. Att göra detta på ett kostnadseffektivt sätt är något som skogssektorn efterfrågar. Syftet med studien var att undersöka möjligheten att skatta skogliga variabler med satellitbilder från Sentinel 2. Korrelationen mellan granskogens uppmätta reflektans i satellitbilder från Sentinel 2 och uppmätta variablerna i fält har beräknats och analyserats. Resultatet visar att styrkan i korrelation skiljer sig mellan olika rumsliga upplösningar, vilken tid på året satellitbilderna är tagna, vilka spektrala band och vegetationsindex som används samt vilka skogliga var
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Gottardi, Beatrice. "Automatic methods for crop classification by merging satellite radar (sentinel 1) and optical (sentinel 2) . data and artificial intelligence analysis." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20635/.

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Land use and land cover maps can support our understanding of coupled human- environment systems and provide important information for environmental modelling and water resource management. Satellite data are a valuable source for land use and land cover mapping. However, cloud-free or weather independent data are necessary to map cloud-prone regions. Merging radar with optical images would increase the accuracy of the study. Agricultural land cover is characterized by strong variations within relatively short time intervals. These dynamics are challenging for land cover classifications on th
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Pineda, Ancco Ferdinand Edgardo. "A generative adversarial network approach for super resolution of sentinel-2 satellite images." Master's thesis, Pontificia Universidad Católica del Perú, 2020. http://hdl.handle.net/20.500.12404/16137.

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Recently, satellites in operation offering very high-resolution (VHR) images has experienced an important increase, but they remain as a smaller proportion against existing lower resolution (HR) satellites. Our work proposes an alternative to improve the spatial resolution of HR images obtained by Sentinel-2 satellite by using the VHR images from PeruSat1, a Peruvian satellite, which serve as the reference for the superresolution approach implementation based on a Generative Adversarial Network (GAN) model, as an alternative for obtaining VHR images. The VHR PeruSat-1 image dataset is u
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Erik, Graff. "Agriculture monitoring using satellite data." Thesis, Luleå tekniska universitet, Rymdteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-85112.

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As technology advances, the possibility of using satellite data and observations to aid inagricultural activities comes closer to reality. Swedish farmers can apply for subsidies for their land in which crop management and animal grazing occurs, and every year thousands of manual follow-up checks are conducted by Svenska Jordbruksverket (Swedish Board of Agriculture) to validate the farmers’ claims to financial aid. RISE (Research Institutes of Sweden) is currently researching a replacement for the manual follow-up checks using an automated process with optical satellite observations from prim
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Sangiorgi, Nicola <1991&gt. "Use of Sentinel-2 satellite imagery for forest site evaluation and forest harvesting detection." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amsdottorato.unibo.it/9437/1/Tesi_dottorato_Nicola_Sangiorgi_reviewed.pdf.

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The access to Earth Observation data leaded researcher to a different point of view in the forest sector. Immediately tropical forest deforestation drawn the majority of interests (Perbet et al., 2019; Tang et al., 2019; Shimizu et al., 2017; Asner et al., 2009), heading to the development of many different tools for tropical forest monitoring. This study was focused on the application of satellite remote sensing data (derived from Sentinel-2) to two cardinal aspect for Italian forest. Since wood production plays a key role in developing a rural economy and stimulating the use of sustainable
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Portela, De Araujo Bernacke Samir. "principi di funzionamento del tropospheric monitoring instrument – sentinel-5p tropomi." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23034/.

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In questo elaborato vengono descritti brevemente i mezzi utilizzati per costruire Sentinel-5P e per il suo corretto posizionamento in orbita, le tecnologie impiegate per il mantenimento delle telecomunicazioni fra la sonda e le basi a terra e, infine, viene fatta una descrizione più accurata dello strumento principale di bordo: TROPOMI, che si occupa della scansione dei gas terrestri, sfruttando diverse bande dello spettro elettromagnetico.
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Vahidi, Mayamey Farzad. "Improving the water-extent monitoring of Swedish wetlands with open-source satellite data and Google Earth Engine." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022.

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Wetlands are essential for controlling the global climate, sustaining the global hydrological cycle, conserving ecological variety, and ensuring human wellbeing. As wetlands are one of the most endangered environments due to land conversion, infrastructure development, and overexploitation, they require constant monitoring. In Sweden, there are 68 sites recognized as wetlands with international importance. The inundated area and the connectivity of the wetlands are affected by climate change. For this reason, we need to better delineate water bodies in these valuable environments. Advances in
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Cazals, Cécile. "Apport des données Sentinel-1 pour la cartographie des milieux humides." Thesis, Paris Est, 2017. http://www.theses.fr/2017PESC1226/document.

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Les milieux humides sont menacés par le changement climatique et l'anthropisation des milieux naturels. La télédétection est un moyen efficace de suivre des variables environnementales sur de grands espaces. Cependant, lorsqu’il s’agit de l’étude de la dynamique hydrologique, une résolution temporelle importante est indispensable. Or celle-ci est difficilement accessible par l'imagerie optique satellitaire du fait de l’important couvert nuageux qui masque le sol. Les capteurs radars, travaillant dans le domaine des micro-ondes, sont tout particulièrement adaptés à la caractérisation des dynami
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Schirinzi, Mattia. "Action cam per la raccolta di verità a terra propedeutica all'identificazione di colture agricole attraverso immagini ottiche del satellite Sentinel-2." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22341/.

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Il telerilevamento ha reso possibile l’applicazione di tecnologie in grado di ridurre gli impatti sull’ambiente. Tra queste, la missione Sentinel-2 di ESA è in grado di fornire informazioni per contrastare il cambiamento climatico. In questo elaborato, l’utilizzo di una action cam per il monitoraggio di appezzamenti agricoli correlata all’utilizzo di bande Sentinel-2 e degli indici NDVI e NDWI hanno permesso di valutare l’andamento fenologico in una serie di appezzamenti della Provincia di Ravenna. Il primo risultato è stato quello di ottenere ground truth (GTs) a basso costo che potessero int
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Książki na temat "Sentinel satellites"

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Richelson, Jeffrey. America's space sentinels: The history of the DSP and SBIRS satellite systems. 2nd ed. University Press of Kansas, 2012.

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America's Space Sentinels: DSP Satellites and National Security. University Press of Kansas, 2001.

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America's space sentinels: DSP satellites and national security. University Press of Kansas, 1999.

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Richelson, Jeffrey T. America's Space Sentinels: The History of the DSP and SBIRS Satellite Systems. University Press of Kansas, 2018.

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Thomas, Geo Guy. Sentinels of the Seas: Satellite AIS and the Birth of Global Maritime Awareness. New Bay Books, 2022.

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Thomas, Geo Guy. New Sentinels of the Seas: Satellite AIS and the Birth of Global Maritime Awareness. New Bay Books, 2023.

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Części książek na temat "Sentinel satellites"

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Di Cicco, Annalisa, Remika Gupana, Alexander Damm, et al. "“Flex 2018” Cruise: an opportunity to assess phytoplankton chlorophyll fluorescence retrieval at different observative scales." In Proceedings e report. 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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Koubarakis, Manolis, Konstantina Bereta, Dimitris Bilidas, Despina-Athanasia Pantazi, and George Stamoulis. "A Data Science Pipeline for Big Linked Earth Observation Data." In Technologies and Applications for Big Data Value. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78307-5_19.

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AbstractThe science of Earth observation uses satellites and other sensors to monitor our planet, e.g., for mitigating the effects of climate change. Earth observation data collected by satellites is a paradigmatic case of big data. Due to programs such as Copernicus in Europe and Landsat in the United States, Earth observation data is open and free today. Users that want to develop an application using this data typically search within the relevant archives, discover the needed data, process it to extract information and knowledge and integrate this information and knowledge into their applic
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Showstack, Randy. "Sentinel Satellites Initiate New Era in Earth Observatories." In Encyclopedia of Solid Earth Geophysics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-10475-7_266-1.

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Showstack, Randy. "Sentinel Satellites Initiate New Era in Earth Observatories." In Encyclopedia of Solid Earth Geophysics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58631-7_266.

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Esbrí, Miguel Ángel. "Remote Sensing." In Big Data in Bioeconomy. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71069-9_4.

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AbstractIn this chapter we present the concepts of remote sensing and Earth Observation and, explain why several of their characteristics (volume, variety and velocity) make us consider Earth Observation as Big Data. Thereafter, we discuss the most commonly open data formats used to store and share the data. The main sources of Earth Observation data are also described, with particular focus on the constellation of Sentinel satellites, Copernicus Hub and its six thematic services, as well as other private initiatives like the five Copernicus-related Data and Information Access Services and Sen
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Ouaadi, Nadia, Jamal Ezzahar, Lionel Jarlan, Saïd Khabba, and Pierre Luis Frison. "Synergy of Sentinel-1 and Sentinel-2 Satellites for Surface Soil Moisture Retrieval Over Wheat Crops in Semi-arid Areas." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6223-3_63.

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Massoud, Elias, Amin Shaban, Zhen Liu, and Mhamad El Hage. "Using Information from Remote Sensing to Estimate Groundwater: GRACE and Sentinel-1 Satellites." In Springer Water. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15549-9_16.

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Abreu, Tiago, Diogo Santos, Paulo A. Silva, and Paulo Baptista. "Nearshore Bathymetry of Figueira da Foz, Portugal, Derived from Sentinel-1 SAR Satellites." In Recent Research on Geotechnical Engineering, Remote Sensing, Geophysics and Earthquake Seismology. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-48715-6_24.

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Uz, Stephanie Schollaert, Christopher W. Brown, Andrew K. Heidinger, Tim J. Smyth, and Raghu Murtugudde. "Monitoring a Sentinel Species from Satellites: Detecting Emiliania huxleyi in 25 Years of AVHRR Imagery." In Satellite-based Applications on Climate Change. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-5872-8_18.

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Veretekhina, Svetlana, Krapivka Sergey, Tatiana Pronkina, et al. "Comparative Analysis of Big Data Acquisition Technology from Landsat 8 and Sentinel-2 Satellites." In Cybernetics Perspectives in Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09073-8_5.

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Streszczenia konferencji na temat "Sentinel satellites"

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Clerc, Sébastien, Bringfried Pflug, Louis Rivoire, et al. "Impact of varying SNR in L1C data on Sentinel-2 L2A products." In Sensors, Systems, and Next-Generation Satellites XXVIII, edited by Toshiyoshi Kimura, Sachidananda R. Babu, and Arnaud Hélière. SPIE, 2024. http://dx.doi.org/10.1117/12.3031506.

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Kalogirou, Eleftheria, George Melillos, Christodoulos Mettas, Evagoras Evagorou, and Diofantos Hadjimitsis. "Comparative analysis of wind speed and direction measurements from Sentinel-1 SAR and Sentinel-3 satellites." In Tenth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2024), edited by Silas C. Michaelides, Diofantos G. Hadjimitsis, Chris Danezis, et al. SPIE, 2024. http://dx.doi.org/10.1117/12.3037288.

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Jüssi, Martin, and Erik Kulu. "Adding Dimensions to Sentinel-1 Data: Constellation of Bistatic Passive Receiver Satellites for Operational Applications." In IAF Earth Observation Symposium, Held at the 75th International Astronautical Congress (IAC 2024). International Astronautical Federation (IAF), 2024. https://doi.org/10.52202/078362-0019.

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Qin, Xingli, Bingfang Wu, Hongwei Zeng, et al. "An Object-Level Multi-Source Transfer Learning Method Integrating Optical and SAR Features: A Case Study of Gaofen, Ziyuan, and Sentinel-1 Satellites." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10642882.

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Pujianiki, Ni Nyoman, Gde Rai Putra Arya Simpangan, Silvia Gabrina Tonyes, Komang Gede Putra Airlangga, I. Nengah Simpen, and Muhammad Shazril Idris Bin Ibrahim. "The Impact of Sanur Harbor Development on Shoreline Changes at Sanur Beach Using Sentinel-2 Satellite Imagery." In International Conference on Research in Engineering and Science Technology (IC-REST) 2023. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-uh8vrl.

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Morphological changes in shoreline areas are typically induced by the construction of structures in their vicinity. At Sanur Beach, the impact of the harbor's development is evident in shoreline changes, primarily in the form of accretion in the northern part of the breakwater. This study examines shoreline changes from 2018 to 2023, utilizing a remote sensing approach with Sentinel-2 Satellite Imagery. Sentinel-2 satellite image data in the Sanur Beach area undergo a process to generate a shoreline change map. The analysis is carried out using the Digital Shoreline Analysis System (DSAS) plug
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Gasparovic, Iva, Mateo Gasparovic, Filip Radic, and Mario Uros. "AUTOMATIC URBANISATION MONITORING FOR RISK ASSESSMENT BY REMOTE SENSING AND COPERNICUS DATA � A PRELIMINARY RESEARCH." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024v/4.2/s19.33.

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Rapid urbanization increases the vulnerability of cities to natural hazards, especially earthquakes, as unplanned growth can aggravate structural risks and strain infrastructure. This research is based on a project �Automatic urbanization monitoring for risk assessment by remote sensing and Copernicus data� which aims to improve the detection of urban growth patterns and identify areas with increased seismic vulnerability. This project�s main goal is to develop and test a prototype for automatic urbanization monitoring for risk assessment aided by remote sensing and Copernicus data for fast an
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R., Priyadarshini, Varun Arya, and Sowmya Kamath S. "Automated Marine Debris Detection from Sentinel-2 Satellite Imagery." In 2024 IEEE Space, Aerospace and Defence Conference (SPACE). IEEE, 2024. http://dx.doi.org/10.1109/space63117.2024.10668301.

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Languille, Florie, Angélique Gaudel-Vacaresse, Bruno Vidal, Renaud Binet, Vincent Poulain, and Thierry L. Trémas. "Sentinel-2B image quality commissioning phase results and Sentinel2 constellation performances." In Sensors, Systems, and Next-Generation Satellites, edited by Roland Meynart, Steven P. Neeck, Haruhisa Shimoda, Toshiyoshi Kimura, and Jean-Loup Bézy. SPIE, 2017. http://dx.doi.org/10.1117/12.2277584.

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Kirschstein, Steffen, Torsten Hertel, Ute Gawronski, Steffen Rienecker, Eyk Gebhardt, and Simon Chelkowski. "Sentinel-4 combined optial assemblies." In Sensors, Systems, and Next-Generation Satellites XXIV, edited by Steven P. Neeck, Toshiyoshi Kimura, and Arnaud Hélière. SPIE, 2020. http://dx.doi.org/10.1117/12.2573015.

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Ceba Vega, Francisco, Paul Snoeij, Ignacio Navas-Traver, et al. "Sentinel-1 C/D: modifications and enhancements." In Sensors, Systems, and Next-Generation Satellites, edited by Steven P. Neeck, Toshiyoshi Kimura, and Philippe Martimort. SPIE, 2018. http://dx.doi.org/10.1117/12.2323657.

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Raporty organizacyjne na temat "Sentinel satellites"

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Gikov, Alexander, Petar Dimitrov, Lachezar Filchev, Eugenia Roumenina, and Georgi Jelev. Crop Type Mapping Using Multi-date Imagery from the Sentinel-2 Satellites. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, 2019. http://dx.doi.org/10.7546/crabs.2019.06.11.

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Yan, Xin. High-resolution Building Height Estimation Based on Sentinel Satellite Data. Iowa State University, 2023. http://dx.doi.org/10.31274/cc-20240624-827.

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Crombie, Michael A. Sentinel Satellite Positional Precision Derived from the NAVSTAR Global Positioning System. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada211876.

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Busby, Ryan, Wade Wall, and Lauren Bosche. Remote detection of soil shear strength in Arctic and subarctic environments. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49815.

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Soil shear strength affects many military activities and is affected significantly by plant roots. Unfortunately, root contribution to soil shear strength is difficult to measure and predict. In the boreal forest ecosystem, soil and hydrologic dynamics make soil shear strength less predictable, while the need for prediction grows due to the rapid changes occurring in this environment. Our current study objectives are to (1) observe possible aboveground vegetation indicators of soil shear strength variation across soils and other environmental heterogeneity, (2) observe possible image-based ind
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Nedkov, Roumen. Quantitative Assessment of Forest Degradation after Fire Using Ortogonalized Satellite Images from Sentinel-2. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, 2018. http://dx.doi.org/10.7546/crabs.2018.01.11.

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Nedkov, Roumen. Quantitative Assessment of Forest Degradation after Fire Using Ortogonalized Satellite Images from Sentinel-2. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, 2018. http://dx.doi.org/10.7546/grabs2018.1.11.

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Johansen, Richard A., Christina L. Saltus, Molly K. Reif, and Kaytee L. Pokrzywinski. A Review of Empirical Algorithms for the Detection and Quantification of Harmful Algal Blooms Using Satellite-Borne Remote Sensing. U.S. Army Engineer Research and Development Center, 2022. http://dx.doi.org/10.21079/11681/44523.

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Harmful Algal Blooms (HABs) continue to be a global concern, especially since predicting bloom events including the intensity, extent, and geographic location, remain difficult. However, remote sensing platforms are useful tools for monitoring HABs across space and time. The main objective of this review was to explore the scientific literature to develop a near-comprehensive list of spectrally derived empirical algorithms for satellite imagers commonly utilized for the detection and quantification HABs and water quality indicators. This review identified the 29 WorldView-2 MSI algorithms, 25
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Hong, G., and R. A. Fernandes. Site-specific satellite data record from LEAF-Toolbox to support afforestation assessment in Ontario. Natural Resources Canada/CMSS/Information Management, 2025. https://doi.org/10.4095/p15e0vyyt6.

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Le boisement est le processus qui consiste à établir des forêts sur des terres anciennement non boisées. Le suivi des terres boisées est essentiel pour comprendre les processus liés au développement durable, atténuer l'impact des émissions de gaz à effet de serre sur le climat, caractériser les services écosystémiques et planifier les actions politiques. Il est difficile de surveiller ce processus en raison des coûts associés, de la disponibilité limitée des études in situ et de l'absence fréquente d'études systématiques in situ au cours de la période d'établissement. Les indices spectraux de
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Becker, Sarah, Megan Maloney, and Andrew Griffin. A multi-biome study of tree cover detection using the Forest Cover Index. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42003.

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Tree cover maps derived from satellite and aerial imagery directly support civil and military operations. However, distinguishing tree cover from other vegetative land covers is an analytical challenge. While the commonly used Normalized Difference Vegetation Index (NDVI) can identify vegetative cover, it does not consistently distinguish between tree and low-stature vegetation. The Forest Cover Index (FCI) algorithm was developed to take the multiplicative product of the red and near infrared bands and apply a threshold to separate tree cover from non-tree cover in multispectral imagery (MSI)
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Saltus, Christina, Molly Reif, and Richard Johansen. waterquality for ArcGIS Pro Toolbox. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42240.

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Monitoring water quality of small inland lakes and reservoirs is a critical component of USACE water quality management plans. However, limited resources for traditional field-based monitoring of numerous lakes and reservoirs that cover vast geographic areas often leads to reactional responses to harmful algal bloom (HAB) outbreaks. Satellite remote sensing methodologies using HAB indicators is a good low-cost option to traditional methods and has been proven to maximize and complement current field-based approaches while providing a synoptic view of water quality (Beck et al. 2016; Beck et al
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