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Artykuły w czasopismach na temat „Sentinel satellites”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

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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Guzinski, Radoslaw, Hector Nieto, Inge Sandholt, and Georgios Karamitilios. "Modelling High-Resolution Actual Evapotranspiration through Sentinel-2 and Sentinel-3 Data Fusion." Remote Sensing 12, no. 9 (2020): 1433. http://dx.doi.org/10.3390/rs12091433.

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The Sentinel-2 and Sentinel-3 satellite constellation contains most of the spatial, temporal and spectral characteristics required for accurate, field-scale actual evapotranspiration (ET) estimation. The one remaining major challenge is the spatial scale mismatch between the thermal-infrared observations acquired by the Sentinel-3 satellites at around 1 km resolution and the multispectral shortwave observations acquired by the Sentinel-2 satellite at around 20 m resolution. In this study we evaluate a number of approaches for bridging this gap by improving the spatial resolution of the thermal

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Zhao, Qiang, Le Yu, Zhenrong Du, et al. "An Overview of the Applications of Earth Observation Satellite Data: Impacts and Future Trends." Remote Sensing 14, no. 8 (2022): 1863. http://dx.doi.org/10.3390/rs14081863.

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As satellite observation technology develops and the number of Earth observation (EO) satellites increases, satellite observations have become essential to developments in the understanding of the Earth and its environment. However, the current impacts to the remote sensing community of different EO satellite data and possible future trends of EO satellite data applications have not been systematically examined. In this paper, we review the impacts of and future trends in the use of EO satellite data based on an analysis of data from 15 EO satellites whose data are widely used. Articles that r

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Bilotta, Giuliana, Luigi Bibbò, Giuseppe M. Meduri, Emanuela Genovese, and Vincenzo Barrile. "Deep Learning Innovations: ResNet Applied to SAR and Sentinel-2 Imagery." Remote Sensing 17, no. 12 (2025): 1961. https://doi.org/10.3390/rs17121961.

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The elevated precision of data regarding the Earth’s surface, facilitated by the enhanced interoperability among various GNSSs (Global Navigation Satellite Systems), enables the classification of land use and land cover (LULC) via satellites equipped with optical sensors, such as Sentinel-2 of the Copernicus program, which is crucial for land use management and environmental planning. Likewise, data from SAR satellites, such Copernicus’ Sentinel-1 and Jaxa’s ALOS PALSAR, provide diverse environmental investigations, allowing different types of spatial information to be analysed thanks to the p

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Pehani, Peter, Tatjana Veljanovski, Žiga Kokalj, and Krištof Oštir. "Six years of Sentinel-2 archive of Slovenia." Geodetski vestnik 66, no. 02 (2022): 220–57. http://dx.doi.org/10.15292/geodetski-vestnik.2022.02.220-257.

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The Sentinel-2 is a high resolution optical satellite mission, developed by the European Space Agency (ESA) for the European Commission. Currently the mission has two satellites in orbit: Sentinel-2A from 23rd June 2015, and Sentinel-2B from 7th March 2017. Revisit time for this twin constellation is five days. The twin satellites represent a very stable data source, but for the first six operational months (i.e. the second half of the 2015). From the very start of the mission, the Research Centre of the Slovenian Academy of Sciences and Arts (ZRC SAZU) is collecting its own archive of Sentine

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Lamquin, Nicolas, Sébastien Clerc, Ludovic Bourg, and Craig Donlon. "OLCI A/B Tandem Phase Analysis, Part 1: Level 1 Homogenisation and Harmonisation." Remote Sensing 12, no. 11 (2020): 1804. http://dx.doi.org/10.3390/rs12111804.

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Copernicus is a European system for monitoring the Earth in support of European policy. It includes the Sentinel-3 satellite mission which provides reliable and up-to-date measurements of the ocean, atmosphere, cryosphere, and land. To fulfil mission requirements, two Sentinel-3 satellites are required on-orbit at the same time to meet revisit and coverage requirements in support of Copernicus Services. The inter-unit consistency is critical for the mission as more S3 platforms are planned in the future. A few weeks after its launch in April 2018, the Sentinel-3B satellite was manoeuvred into

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Haloho, Luwis Suryani, and Asep Adang Supriyadi. "Utilization of satellite technology in communication systems, disaster monitoring, border surveillance, and military intelligence: a literature review." Remote Sensing Technology in Defense and Environment 1, no. 1 (2024): 36–44. http://dx.doi.org/10.61511/rstde.v1i1.2024.842.

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Background: The utilization of satellite technology has become a critical aspect in many fields, including communications, disaster monitoring, border surveillance, and military intelligence. The ability of satellites to provide real-time, high-resolution data offers significant benefits in supporting these activities. This study aims to explore the contributions and benefits of satellites in this context through a literature review approach. Methods: This study used the literature review method, which involves collecting, analyzing, and synthesizing relevant scientific studies. The literature

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Kuntla, Sai Kiran. "An era of Sentinels in flood management: Potential of Sentinel-1, -2, and -3 satellites for effective flood management." Open Geosciences 13, no. 1 (2021): 1616–42. http://dx.doi.org/10.1515/geo-2020-0325.

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Abstract The repetitive and destructive nature of floods across the globe causes significant economic damage, loss of human lives, and leaves the people living in flood-prone areas with fear and insecurity. With enough literature projecting an increase in flood frequency, severity, and magnitude in the future, there is a clear need for effective flood management strategies and timely implementation. The earth observatory satellites of the European Space Agency’s Sentinel series, Sentinel-1, Sentinel-2, and Sentinel-3, have a great potential to combat these disastrous floods by their peerless s

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Barbieux, Kévin, Olivier Hautecoeur, Maurizio De Bartolomei, Manuel Carranza, and Régis Borde. "The Sentinel-3 SLSTR Atmospheric Motion Vectors Product at EUMETSAT." Remote Sensing 13, no. 9 (2021): 1702. http://dx.doi.org/10.3390/rs13091702.

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Atmospheric Motion Vectors (AMVs) are an important input to many Numerical Weather Prediction (NWP) models. EUMETSAT derives AMVs from several of its orbiting satellites, including the geostationary satellites (Meteosat), and its Low-Earth Orbit (LEO) satellites. The algorithm extracting the AMVs uses pairs or triplets of images, and tracks the motion of clouds or water vapour features from one image to another. Currently, EUMETSAT LEO satellite AMVs are retrieved from georeferenced images from the Advanced Very-High-Resolution Radiometer (AVHRR) on board the Metop satellites. EUMETSAT is curr

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Priya, R. Sathiya, and U. Rahamathunnisa. "A Comprehensive Study of Remote Sensing Technology for Agriculture Crop Monitoring." Nature Environment and Pollution Technology 23, no. 2 (2024): 1017–27. http://dx.doi.org/10.46488/nept.2024.v23i02.035.

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With the rapid advancement of Remote Sensing Technology, monitoring the agricultural land has become a facile task. To surveil the growth of paddy crops and provide detailed information regarding monitoring soil, drought, crop type, crop growth, crop health, crop yield, irrigation, and fertilizers, different types of remote sensing satellites are used like Landsat 8, Sentinel 2, and MODIS satellite. The main aim of Landsat 8, Sentinel 2 and MODIS satellites is to monitor the land and vegetation area and to provide data regarding agricultural activities. Each of these satellites possesses a dif

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Soomets, Uudeberg, Jakovels, et al. "Comparison of Lake Optical Water Types Derived from Sentinel-2 and Sentinel-3." Remote Sensing 11, no. 23 (2019): 2883. http://dx.doi.org/10.3390/rs11232883.

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Inland waters play a critical role in our drinking water supply. Additionally, they areimportant providers of food and recreation possibilities. Inland waters are known to be opticallycomplex and more diverse than marine or ocean waters. The optical properties of natural waters areinfluenced by three different and independent sources: phytoplankton, suspended matter, andcolored dissolved organic matter. Thus, the remote sensing of these waters is more challenging.Different types of waters need different approaches to obtain correct water quality products;therefore, the first step in remote sen

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Han, Dong, Shuaibing Liu, Ying Du, et al. "Crop Water Content of Winter Wheat Revealed with Sentinel-1 and Sentinel-2 Imagery." Sensors 19, no. 18 (2019): 4013. http://dx.doi.org/10.3390/s19184013.

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This study aims to efficiently estimate the crop water content of winter wheat using high spatial and temporal resolution satellite-based imagery. Synthetic-aperture radar (SAR) data collected by the Sentinel-1 satellite and optical imagery from the Sentinel-2 satellite was used to create inversion models for winter wheat crop water content, respectively. In the Sentinel-1 approach, several enhanced radar indices were constructed by Sentinel-1 backscatter coefficient of imagery, and selected the one that was most sensitive to soil water content as the input parameter of a water cloud model. Fi

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Mozgovoy, Dmytro. "Satellite monitoring of flods by C-band radar data." Ukrainian journal of remote sensing, no. 16 (April 10, 2018): 4–12. http://dx.doi.org/10.36023/ujrs.2018.16.117.

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Automated image processing methodology is proposed for all-weather satellite monitoring of floods based on C-band radar data, which allows to determine the boundaries and areas of flooded areas when assessing the magnitude, dynamics and consequences of floods. Processing results comparison of medium spatial resolution scanner and radar images from Sentinel-1 and Sentinel-2 satellites is made. The advantages of a radar survey with cloudiness in the monitoring area are shown.

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Nafieva, E. N., and A. V. Grechishchev. "SPACE RADAR SYSTEMS OF EARTH MONITORING." ECOLOGY ECONOMY INFORMATICS. GEOINFORMATION TECHNOLOGIES AND SPACE MONITORING 2, no. 5 (2020): 89–95. http://dx.doi.org/10.23885/2500-123x-2020-2-5-89-95.

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This article explores the relevance of radar sensing methods. The principles of its operation and the advantages of use are considered: the independence of obtaining images from weather conditions and the time of day, the possibility of wide viewing at long ranges with high resolution and the flexibility of controlling and changing radar parameters, which allows you to vary the position and size of the viewing area, resolution and forms of information. In addition, the main satellite radar systems were considered: satellites of the European Space Agency ERS-1,2 and ENVISAT; Canadian satellites

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Ivanova, Iva, Temenuzhka Spasova, Nataliya Stankova, and Adlin Dancheva. "SHABLA-EZERETS LAKE MONITORING FOR THE PERIOD 2017–2024 USING SENTINEL DATA." Aerospace Research in Bulgaria 37 (2025): 94–107. https://doi.org/10.3897/arb.v37.e09.

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This study presents an 8-year monitoring assessment of the Shabla-Ezerets Lake Complex, located on Sarmatian limestones in northeastern Bulgaria, approximately 5 km northeast of the town of Shabla. The lake complex is part of the protected area “Shabla Lake” and comprises two adjacent coastal estuarine lakes — Shabla and Ezerets — which are interconnected by an artificially excavated canal. In recent years, high-resolution satellite imagery and data from the European Space Agency's Sentinel satellites have been instrumental in monitoring the ecological and hydrological dynamics of the complex.

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Segarra, Joel, Maria Luisa Buchaillot, Jose Luis Araus, and Shawn C. Kefauver. "Remote Sensing for Precision Agriculture: Sentinel-2 Improved Features and Applications." Agronomy 10, no. 5 (2020): 641. http://dx.doi.org/10.3390/agronomy10050641.

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The use of satellites to monitor crops and support their management is gathering increasing attention. The improved temporal, spatial, and spectral resolution of the European Space Agency (ESA) launched Sentinel-2 A + B twin platform is paving the way to their popularization in precision agriculture. Besides the Sentinel-2 A + B constellation technical features the open-access nature of the information they generate, and the available support software are a significant improvement for agricultural monitoring. This paper was motivated by the challenges faced by researchers and agrarian institut

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Yu, Fangjie, Juanjuan Qi, Yongjun Jia, and Ge Chen. "Evaluation of HY-2 Series Satellites Mapping Capability on Mesoscale Eddies." Remote Sensing 14, no. 17 (2022): 4262. http://dx.doi.org/10.3390/rs14174262.

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With the launches of HY-2B, HY-2C and HY-2D, the National Satellite Ocean Application Service (NSOAS) successfully established the first batch of HY-2 constellation on 19 May 2021, dedicated to detecting the marine dynamic environment. While the validation and calibration of HY-2 series satellites have been well studied, using both in situ and cross-track measurements, further evaluation is required of HY-2 series satellites mapping capability on mesoscale eddies. In this study, we conducted two groups of pseudo-observations obtained by ocean models output at positions and times of the satelli

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Mao, Chongyuan, Simon Good, and Mark Worsfold. "Use of SLSTR Sea Surface Temperature Data in OSTIA as a Reference Sensor: Implementation and Validation." Remote Sensing 16, no. 18 (2024): 3396. http://dx.doi.org/10.3390/rs16183396.

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Sea surface temperature (SST) data from the Sea and Land Surface Temperature Radiometer (SLSTR) onboard the Sentinel-3 satellites have been used in the Met Office’s Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) since 2019 (Sentinel-3A SST data since March 2019 and Sentinel-3B data since December 2019). The impacts of using SLSTR SSTs and the SLSTR as the reference sensor for the bias correction of other satellite data have been assessed using independent Argo float data. Combining Sentinel-3A and -3B SLSTRs with two Visible Infrared Imaging Radiometer Suite (VIIRS) sensors (

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Liu, Xiao, Jing Guo, Junqiang Li, Shengyi Xu, and Qile Zhao. "Ambiguity Resolution Strategy for GPS/LEO Integrated Orbit Determination Based on Regional Ground Stations." Remote Sensing 17, no. 9 (2025): 1590. https://doi.org/10.3390/rs17091590.

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Traditional high-precision satellite orbits rely on globally dense and evenly distributed ground tracking stations, while the accuracy of precise orbit determination (POD) based on a regional network cannot compare with that of a global network. Low Earth orbit (LEO) satellites can serve as space-based monitoring stations to compensate for this. In response to the current regional integrated POD that only resolves the ambiguities of ground stations, this paper proposes an ambiguity resolution (AR) strategy related to LEO satellites to enhance GPS orbit accuracy. A joint observation network is

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Vrdoljak, Ljerka, and Jelena Kilić Pamuković. "Assessment of Atmospheric Correction Processors and Spectral Bands for Satellite-Derived Bathymetry Using Sentinel-2 Data in the Middle Adriatic." Hydrology 9, no. 12 (2022): 215. http://dx.doi.org/10.3390/hydrology9120215.

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Satellite-derived bathymetry (SDB) based on multispectral satellite images (MSI) from the satellite’s optical sensors is a recent technique for surveying shallow waters. Sentinel-2 satellite mission with an open access policy and high spatial, radiometric, and temporal resolution of MSI-s started a new era in the mapping of coastal bathymetry. More than 90 percent of the electromagnetic (EM) signal received by satellites is due to the atmospheric path of the EM signal. While Sentinel-2 MSI Level 1C provides top-of-atmosphere reflectance, Level 2A provides bottom-of-atmosphere reflectance. The

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Addabbo, Pia, Mariano Focareta, Salvo Marcuccio, Claudio Votto, and Silvia Liberata Ullo. "Contribution of Sentinel-2 data for applications in vegetation monitoring." ACTA IMEKO 5, no. 2 (2016): 44. http://dx.doi.org/10.21014/acta_imeko.v5i2.352.

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<p class="Abstract"><span lang="EN-US">With the entry into operation of the Sentinel-2 mission in June 2015, a new land monitoring costellation of twin satellites has been added to Copernicus project from ESA and new insights have been derived through the combination of Sentinel-2 data with other optical/multispectral data, and with other data from satellites belonging to the same Copernicus project. To this end, the objective of this paper has been to present new added-value tools first through the integration of different satellite platforms: data from NASA Landsat-8 and ESA Sent

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Scharroo, Remko, Hans Bonekamp, Christelle Ponsard, et al. "Jason continuity of services: continuing the Jason altimeter data records as Copernicus Sentinel-6." Ocean Science 12, no. 2 (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

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Scharroo, R., H. Bonekamp, C. Ponsard, et al. "Jason continuity of services: continuing the Jason altimeter data records as Copernicus Sentinel-6." Ocean Science Discussions 12, no. 6 (2015): 2931–53. http://dx.doi.org/10.5194/osd-12-2931-2015.

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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

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Wang, He, Chaoying Shi, and Jianhua Zhu. "Assessment of Sentinel-1A/B SAR Derived Ocean Wind Speeds against HY-2B Scatterometer in the Presence of Ocean Swells." E3S Web of Conferences 299 (2021): 01001. http://dx.doi.org/10.1051/e3sconf/202129901001.

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Sentinel-1A/B satellites operating in wave mode provide ocean winds dataset on a continuous and global basis. In this study, wind speeds derived from Sentinel-1A/B wave mode imagery from November 2018 to October 2020 are evaluated against HSCAT scatterometer aboard Chinese satellite HY-2B. Here, due to the close equatorial crossing times between Sentinel-1 and HY-2B, the spatio-temporal criteria of 50 km and 30 min yield large amount match-ups. Comparison results show a good agreement between wind speeds derived from the two types of radars: synthetic aperture radar and scatterometer. Impact o

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Luo, Bingkun, and Peter J. Minnett. "Comparison of SLSTR Thermal Emissive Bands Clear-Sky Measurements with Those of Geostationary Imagers." Remote Sensing 12, no. 20 (2020): 3279. http://dx.doi.org/10.3390/rs12203279.

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The Sentinel-3 series satellites belong to the European Earth Observation satellite missions for supporting oceanography, land, and atmospheric studies. The Sea and Land Surface Temperature Radiometer (SLSTR) onboard the Sentinel-3 satellites was designed to provide a significant improvement in remote sensing of skin sea surface temperature (SSTskin). The successful application of SLSTR-derived SSTskin fields depends on their accuracies. Based on sensor-dependent radiative transfer model simulations, geostationary Geostationary Operational Environmental Satellite (GOES-16) Advanced Baseline Im

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Li, Chuan, Xiangyu Zhu, Xuwen Li, et al. "All-Weather Monitoring of Ulva prolifera in the Yellow Sea Based on Sentinel-1, Sentinel-3, and NPP Satellite Data." Remote Sensing 15, no. 24 (2023): 5772. http://dx.doi.org/10.3390/rs15245772.

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Ulva prolifera (U. prolifera), a global eco-environmental issue, has been recurring annually in the Yellow Sea of China since 2007, leading to significant impacts on the coastal ecosystem and the economies of coastal cities. To enhance the frequency of daily monitoring for U. prolifera and to advance the multi-source remote sensing monitoring system, a combination of the Sentinel-1 SAR remote sensing satellite and the Sentinel-3 OLCI and NPP VIIRS optical remote sensing satellites was employed. This comprehensive analysis encompassed the examination of Sentinel-1 C band characteristics, the ra

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Thankappan, Medhavy, Jon Christopherson, Simon Cantrell, et al. "Concept of a Satellite Cross-Calibration Radiometer for In-Orbit Calibration of Commercial Optical Satellites." Remote Sensing 16, no. 8 (2024): 1333. http://dx.doi.org/10.3390/rs16081333.

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The satellite Earth observation (EO) sector is burgeoning with hundreds of commercial satellites being launched each year, delivering a rich source of data that could be exploited for societal benefit. Data streams from the growing number of commercial satellites are of variable quality, limiting the potential for their combined use in science applications that need long time-series data from multiple sources. The quality of calibration performed on optical sensors onboard many satellite systems is highly variable due to calibration methods, sensor design, mission objective, budget, or other o

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Strugarek, Dariusz, Krzysztof Sośnica, Daniel Arnold, et al. "Determination of Global Geodetic Parameters Using Satellite Laser Ranging Measurements to Sentinel-3 Satellites." Remote Sensing 11, no. 19 (2019): 2282. http://dx.doi.org/10.3390/rs11192282.

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Sentinel-3A/3B (S3A/B) satellites are equipped with a number of precise instruments dedicated to the measurement of surface topography, sea and land surface temperatures and ocean and land surface color. The high-precision orbit is guaranteed by three instruments: Global Positioning System (GPS) receiver, laser retroreflector dedicated to Satellite Laser Ranging (SLR) and Doppler Orbitography and Radiopositioning Integrated by Satellite (DORIS) antenna. In this article, we check the possibility of using SLR observations and GPS-based reduced-dynamic orbits of active S3A/B satellites for the de

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Gargiulo, Juan, Cameron Clark, Nicolas Lyons, Gaspard de Veyrac, Peter Beale, and Sergio Garcia. "Spatial and Temporal Pasture Biomass Estimation Integrating Electronic Plate Meter, Planet CubeSats and Sentinel-2 Satellite Data." Remote Sensing 12, no. 19 (2020): 3222. http://dx.doi.org/10.3390/rs12193222.

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There is a substantial opportunity to lift feed utilization and profitability on pasture-based dairy systems through both increased pasture monitoring accuracy and frequency. The first objective of this experiment was to determine the impact of the number of electronic rising plate meter (RPM) readings and walking pattern on the accuracy of the RPM to determine pasture biomass. The second objective was to evaluate current satellite technology (i.e., small CubeSats and traditional large satellites) in combination with the electronic RPM as an accurate tool for systematic pasture monitoring. The

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Mozer, D. V., Е. L. Levin, and A. K. Satbergenova. "The research study in the convergence of the results of processing radar images Sentinel-1A with field observations of agricultural sites." Geodesy and Cartography 950, no. 8 (2019): 52–58. http://dx.doi.org/10.22389/0016-7126-2019-950-8-52-58.

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The manuscript discusses how to monitor the condition of seedlings on agricultural fields planted with winter wheat, fodder maize and areas of fir forest located in the Freudenstadt district of Baden-Wuerttemberg in Germany. To solve the range of agricultural problems , they often use modern technologies such as satellite remote sensing of the Earth. The paper displays the monitoring results of the Sentinel-1A radar satellites scenes, as well as visual spectrum imagery of field observations are presented when leaving directly to terrain segments. The processing deployed data chain, consisting

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Devanthéry, Núria, Michele Crosetto, Oriol Monserrat, María Cuevas-González, and Bruno Crippa. "Deformation Monitoring Using Sentinel-1 SAR Data." Proceedings 2, no. 7 (2018): 344. http://dx.doi.org/10.3390/ecrs-2-05157.

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Satellite earth observation enables the monitoring of different types of natural hazards, contributing to the mitigation of their fatal consequences. In this paper, satellite Synthetic Aperture Radar (SAR) images are used to derive terrain deformation measurements. The images acquired with the ESA satellites Sentinel-1 are used. In order to fully exploit these images, two different approaches to Persistent Scatterer Interferometry (PSI) are used, depending on the characteristics of the study area and the available images. The main processing steps of the two methods, i.e.; the simplified and t

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Ankit Raj Goyal and Nikkisha Subramaniam. "Satellite Crop Monitoring and Farm Yield Prediction - A Review and Future Prospects." Acceleron Aerospace Journal 4, no. 5 (2025): 1150–55. https://doi.org/10.61359/11.2106-2529.

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Satellite imaging of crops provides valuable insights into crop health, stress, and yield to optimize production and boost yields. Satellite crop monitoring data is richer and more efficient than traditional manual and ground-based methods. Satellite based farm monitoring and planning has thus been implemented since the 1970s using satellites like Landsat, Sentinel and Resourcesat. This study presents a review of satellite remote sensing technology used in crop monitoring and farm yield prediction. We take an in-depth look at the famous satellites used for this purpose. Satellite based methods

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Kääb, Andreas, Jérémie Mouginot, Pau Prats-Iraola, et al. "Potential of the Bi-Static SAR Satellite Companion Mission Harmony for Land-Ice Observations." Remote Sensing 16, no. 16 (2024): 2918. http://dx.doi.org/10.3390/rs16162918.

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The EarthExplorer 10 mission Harmony by the European Space Agency ESA, scheduled for launch around 2029–2030, consists of two passive C-band synthetic-aperture-radar companion satellites flying in a flexible constellation with one Sentinel-1 radar satellite as an illuminator. Sentinel-1 will serve as transmitter and receiver of radar waves, and the two Harmonys will serve as bistatic receivers without the ability to transmit. During the first and last year of the 5-year mission, the two Harmony satellites will fly in a cross-track interferometric constellation, such as that known from TanDEM-X

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Pádua, Luís, Nathalie Guimarães, Telmo Adão, António Sousa, Emanuel Peres, and Joaquim J. Sousa. "Effectiveness of Sentinel-2 in Multi-Temporal Post-Fire Monitoring When Compared with UAV Imagery." ISPRS International Journal of Geo-Information 9, no. 4 (2020): 225. http://dx.doi.org/10.3390/ijgi9040225.

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Unmanned aerial vehicles (UAVs) have become popular in recent years and are now used in a wide variety of applications. This is the logical result of certain technological developments that occurred over the last two decades, allowing UAVs to be equipped with different types of sensors that can provide high-resolution data at relatively low prices. However, despite the success and extraordinary results achieved by the use of UAVs, traditional remote sensing platforms such as satellites continue to develop as well. Nowadays, satellites use sophisticated sensors providing data with increasingly

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Setvák, Martin, Blanka Piskala Gvoždíková, and Jindřich Šťástka. "Meteosat third generation (MTG) meteorological satellites." Meteorologické zprávy 76, no. 2 (2023): 33–41. http://dx.doi.org/10.59984/mz.2023.02.01.

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The article targets the Meteosat Third Generation (MTG) satellites, the first representative of which, MTG I1, was launched into orbit on 13 December 2022. It also describes briefly the Meteosat first and second generation satellites, the history of the MTG program preparations, and progress of development of the MTG satellites themselves. The paper also gives reasons for splitting the MTG program into two branches, MTG-Imager (MTG-I), focusing at imaging instruments, and MTG-Sounder (MTG-S), aimed at atmospheric soundings. Next, the paper focuses on detailed description of two main instrument

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Zanni, Sara, and Alessandro De Rosa. "Remote Sensing Analyses on Sentinel-2 Images: Looking for Roman Roads in Srem Region (Serbia)." Geosciences 9, no. 1 (2019): 25. http://dx.doi.org/10.3390/geosciences9010025.

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The present research is part of the project “From Aquileia to Singidunum: reconstructing the paths of the Roman travelers—RecRoad”, developed at the Université Bordeaux Montaigne, thanks to a Marie Skłodowska-Curie fellowship. One of the goals of the project was to detect and reconstruct the Roman viability between the Roman cities of Aquileia (Aquileia, Italy) and Singidunum (Belgrade, Serbia), using different sources and methods, one of which is satellite remote sensing. The research project analyzed and combined several data, including images produced by the Sentinel-2 mission, funded by th

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Kariminejad, Narges, Mohammad Kazemi Garajeh, Mohsen Hosseinalizadeh, Foroogh Golkar, and Hamid Reza Pourghasemi. "Harnessing the Power of Remote Sensing and Unmanned Aerial Vehicles: A Comparative Analysis for Soil Loss Estimation on the Loess Plateau." Drones 7, no. 11 (2023): 659. http://dx.doi.org/10.3390/drones7110659.

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This study explored the innovative use of multiple remote sensing satellites and unmanned aerial vehicles to calculate soil losses in the Loess Plateau of Iran. This finding emphasized the importance of using advanced technologies to develop accurate and efficient soil erosion assessment techniques. Accordingly, this study developed an approach to compare sinkholes and gully heads in hilly regions on the Loess Plateau of northeast Iran using convolutional neural network (CNN or ConvNet). This method involved coupling data from UAV, Sentinel-2, and SPOT-6 satellite data. The soil erosion comput

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Jacob, Preeti, Pranathi Kommuru, R. Ruchitha, Harshitha Kuracha, and Thamineni Taruni. "Comparative study of MODIS, LANDSAT-8, SENTINEL-2B, and LISS-4 images for Precision farming using NDVI approach." E3S Web of Conferences 405 (2023): 01004. http://dx.doi.org/10.1051/e3sconf/202340501004.

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This study aims to understand the potential use and application of satellite images in analyzing the vegetation of a given area. It utilizes images from 4 sensors/satellites, namely MODIS (Terra), LANDSAT 8, SENTINEL 2B, and LISS 4 (Resourcesat-2). The area chosen for analysis is ‘Bangalore North, a taluk in the Bangalore district of Karnataka, India, where about 23% of the total area is used for agriculture. The images obtained are analyzed for the extent of data that can be extracted, individual spatial variability, and their relative application in precision farming and vegetation analysis.

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Filipponi, Federico. "Sentinel-1 GRD Preprocessing Workflow." Proceedings 18, no. 1 (2019): 11. http://dx.doi.org/10.3390/ecrs-3-06201.

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The Copernicus Programme has become the world’s largest space data provider, providing complete, free and open access to satellite data, mainly acquired by Sentinel satellites. Sentinel-1 Synthetic Aperture Radar (SAR) data have improved spatial resolution and high revisit frequency, making them useful for a wide range of applications. While few research applications need Sentinel-1 Ground Range Detected (GRD) data with few corrections applied, a wider range of users needs products with a standard set of corrections applied. In order to facilitate the exploitation of Sentinel-1 GRD products, t

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Swaine, M., C. Smit, S. Tripodi, et al. "OPERATIONAL PIPELINE FOR A GLOBAL CLOUD-FREE MOSAIC AND CLASSIFICATION OF SENTINEL-2 IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 (August 21, 2020): 195–200. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2020-195-2020.

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Abstract. Global Earth observation from satellite images is an active research topic, driven by numerous applications, such as telecommunications, defence, natural hazard monitoring and urban management. The recently launched twin Sentinel-2 satellites acquire 13-band optical data with a 2–5 day revisit time, freely available for any use, and thus very valuable for global Earth observation. In this paper, we present a completely automatic operational chain for a global cloud-free mosaic and classification of Sentinel-2 images. The proposed pipeline enables producing the world 10-m cloud-free m

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Clerc, Sébastien, Craig Donlon, Franck Borde, et al. "Benefits and Lessons Learned from the Sentinel-3 Tandem Phase." Remote Sensing 12, no. 17 (2020): 2668. http://dx.doi.org/10.3390/rs12172668.

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During its commissioning phase, the Copernicus Sentinel-3B satellite has been placed in a tandem formation with Sentinel-3A for a period of 6 months. This configuration allowed a direct comparison of measurements obtained by the two satellites. The purpose of this paper was to present the range of analyses that can be performed from this dataset, highlighting methodology aspects and the main outcomes for each instrument. We examined, in turn, the benefit of the tandem in understanding instrument operational modes differences, in assessing inter-satellite differences, and in validating measurem

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