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Sentinel-2

Sentinel-2 is an mission developed by the (ESA) as part of the , featuring a constellation of satellites that acquire high-resolution multispectral imagery of Earth's land surfaces, coastal zones, and inland waterways to support environmental monitoring and land management applications. The mission comprises multiple satellites, including , launched on 23 June 2015, , launched on 7 March 2017, and Sentinel-2C, launched on 5 September 2024, all deployed from the in , , using rockets. As of 2025, the operational constellation includes Sentinel-2A (in extended operations), -2B, and -2C. These satellites operate in a at an altitude of 786 km, with a 10:30 a.m. local at the descending node. The current three-satellite configuration, with Sentinel-2B and -2C positioned 180 degrees apart and Sentinel-2A shifted approximately 36 degrees from Sentinel-2B, achieves a combined revisit time of approximately 3 days at the for global coverage of landmasses, large islands, and coastal areas. Each Sentinel-2 satellite is equipped with the , an innovative wide-swath imager that captures data across 13 bands in the visible, near-, and shortwave regions, offering spatial resolutions of 10 meters for four bands in the visible and near- (used for high-precision applications such as RGB imaging and vegetation indices), 20 meters for six bands (including the vegetation and shortwave ), and 60 meters for three atmospheric correction bands, with a swath width of 290 km. Key applications of Sentinel-2 data include agricultural and forestry monitoring, such as assessing crop health through vegetation indices like and content; tracking changes and properties; mapping like floods, volcanic eruptions, and landslides; detecting inland and coastal ; and supporting , monitoring, and impact assessments. The open-access nature of the data, processed into products like Level-1C (top-of-atmosphere reflectance) and Level-2A (bottom-of-atmosphere reflectance), enables widespread use in scientific research, policy-making, and operational services under the Copernicus framework.

Mission Overview

Objectives and Scope

The Sentinel-2 mission, as a cornerstone of the European Union's Copernicus Earth observation programme, is designed to deliver high-resolution multispectral optical imagery for the systematic monitoring of land surfaces, coastal zones, and inland waters. Its primary objectives focus on providing continuous global coverage to support environmental and services, including the observation of , , cover, and changes in and cover. This enables the detection of biophysical variables such as , leaf chlorophyll content, and land surface reflectivity, contributing to applications in , , and ecosystem assessment. The mission's scope emphasizes operational support for policy implementation, particularly the (CAP) through parcel monitoring and yield estimation, as well as broader initiatives via long-term environmental trend analysis. Coverage extends to all continental landmasses between 56°S and 83°N , including coastal waters up to 20 km offshore, major islands, and select closed seas like the Mediterranean, with provisions for targeted acquisitions in areas such as . To achieve these goals, Sentinel-2 offers spatial resolutions of 10 m for four key bands, 20 m for six bands, and 60 m for three bands, combined with a 5-day revisit frequency at the when both primary satellites are operational. The system's 290 km swath width and 13 spectral bands—from visible and near- (443–865 nm) to shortwave (945–2190 nm)—facilitate comprehensive surface observation. Historically, the Sentinel-2 programme was initiated under the Global Monitoring for Environment and Security (GMES) initiative, with the satellite development contract signed in 2008 to ensure continuity of high-resolution land imaging capabilities building on predecessors like Landsat and . The programme was renamed Copernicus in 2012 to honor the astronomer and reflect its expanded focus on user-driven services, achieving full operational status in 2014 through EU Regulation (EU) No 377/2014.

Constellation Design

The Sentinel-2 mission employs a constellation of identical satellites in sun-synchronous orbits to achieve high-frequency global monitoring of land surfaces. Initially designed as a twin-satellite system, and operate in the same orbital plane at an altitude of 786 km, phased 180 degrees apart, enabling a combined revisit time of 5 days at the for areas between 56°S and 83°N . This configuration covers approximately 99% of the Earth's landmasses, including inland and coastal waters, while excluding southern polar regions south of 56°S (with targeted acquisitions for areas like ) and northern polar regions north of 83°N, as well as very small islands less than 100 km². To ensure operational redundancy and continuity, the satellites are built to identical specifications by , allowing seamless replacement in case of failure and minimizing data gaps during the mission's 7.25-year baseline lifetime. The 180-degree phasing optimizes overlap in swath coverage—each satellite provides a 290 km swath—reducing the effective revisit interval from the single-satellite 10-day to 5 days, with denser observations at higher latitudes due to orbital . This redundancy strategy supports uninterrupted service for Copernicus applications, such as land cover mapping and . In September 2024, Sentinel-2C was launched as a replacement for the aging , joining to maintain the nominal two-satellite 5-day revisit cycle post-2024. However, to enhance coverage temporarily, received a one-year extension starting in March 2025, during which it was maneuvered to a position 36 degrees ahead of , while Sentinel-2C occupies the 180-degree offset from . This three-satellite arrangement, operational through at least March 2026, improves the average revisit to approximately 2.5-3 days at mid-latitudes, boosting data volume without requiring changes to ground processing infrastructure. The constellation's design rationale prioritizes a balance between (up to 10 m), wide swath width, and frequent revisits while constraining onboard power consumption to under 2 kW and downlink data rates to manageable levels via the European Data Relay Satellite system. By limiting the number of satellites to two (with via identical units and a third for succession), the architecture avoids excessive complexity and cost, ensuring sustainable high-resolution optical observations tailored to environmental and security needs.

Development and Launches

Program History

The Sentinel-2 program emerged as a key component of the European Union's Global Monitoring for Environment and Security (GMES) initiative, with foundational concept studies initiated in 2003 by the French space agency , focusing on high-resolution optical imaging for land monitoring. The (ESA) formalized the mission's definition phase from 2005 to 2006, followed by Phase A/B feasibility and preliminary design studies spanning 2006 to 2008, which refined user requirements and system architecture. These early efforts built on prior European heritage, such as and missions, to address needs for systematic, high-revisit coverage of terrestrial surfaces. In April 2008, ESA awarded the prime development contract valued at €195 million to Astrium (now Airbus Defence and Space) for the first satellite, Sentinel-2A, initiating the implementation phase in October 2007. A follow-on contract for the identical Sentinel-2B satellite was signed on March 31, 2010, ensuring the constellation's dual-satellite design for enhanced temporal resolution. The Critical Design Review, a pivotal milestone confirming the maturity of the satellite and instrument designs, was successfully completed in 2011. In December 2012, the overarching GMES program was rebranded as Copernicus, reflecting its expanded role in Earth observation services and honoring the astronomer Nicolaus Copernicus. Funding for the Sentinel-2 program is provided by the through the Copernicus budget, with ESA managing the space segment implementation on behalf of EU member states. Key partnerships involve as the lead integrator, alongside contributions from entities like CNES for ground processing algorithms and the (DLR) for optical communication systems. International collaborations emphasize sharing under Copernicus, enabling global access and joint applications in . The program's development encountered challenges, including funding uncertainties that delayed EU commitment to the space component until 2012, shifting the original 2012 launch target to 2015. Technical hurdles encompassed achieving precise pointing accuracy for the multispectral instrument and managing the substantial data volume generated per orbit, approximately 1.6 terabytes, which required innovative processing solutions. These issues were resolved through iterative testing and refinements, paving the way for operational readiness.

Satellite Deployments

The Sentinel-2 constellation began with the launch of Sentinel-2A on 23 June 2015 aboard a Vega rocket from Europe's Spaceport in Kourou, French Guiana. This was followed by Sentinel-2B on 7 March 2017, also using a Vega launcher from the same site. The third satellite, Sentinel-2C, lifted off on 5 September 2024 aboard a Vega rocket from Europe's Spaceport in Kourou, French Guiana, marking the final flight of the original Vega launcher after 12 years of service and enhancing the constellation's redundancy. Following each launch, the satellites underwent a commissioning phase lasting approximately 3 to 6 months, during which in-orbit testing verified system performance. This period included detailed instrument calibration to ensure radiometric accuracy across spectral bands, geometric alignment for precise geolocation, and validation of data products against ground references to confirm the multispectral imager's operational integrity. For Sentinel-2C, commissioning concluded successfully by early 2025, enabling its integration into routine operations. As of November 2025, and Sentinel-2C remain in nominal operations, providing the core 5-day revisit coverage over land surfaces. , after transferring primary imaging duties to Sentinel-2C on 21 January 2025, entered an exceptional one-year extension campaign beginning 13 March 2025, repositioned 36 degrees from to augment and support user needs until at least March 2026. The constellation's cumulative data archive, encompassing Level-1 and Level-2 products, exceeds 10 petabytes, reflecting a decade of high-volume multispectral observations. End-of-life management for Sentinel-2 satellites follows ESA's space debris mitigation guidelines, emphasizing controlled re-entry into Earth's atmosphere to prevent long-term orbital debris. Each satellite is designed with sufficient propulsion for deorbit maneuvers at the conclusion of its extended mission lifetime, targeting disposal within 25 years post-mission to comply with international standards.

Spacecraft and Orbit

Platform Specifications

The Sentinel-2 satellites are constructed by using the AstroBus-L platform, a modular bus designed for high stability and reliability in missions. Each satellite has a launch mass of 1,140 kg and features a compact structure measuring 3.4 m in length, 1.8 m in width, and 2.35 m in height, built on an aluminum frame with aluminum-core honeycomb panels for lightweight strength and thermal stability. The platform is engineered for a nominal lifespan of 7.25 years, with redundancy and to ensure one-failure operation throughout the mission. The power subsystem relies on a single deployable array spanning approximately 7.1 m², generating 2,300 W at the beginning of life (BOL) and sustaining 1,700 W during operations, supplemented by lithium-ion batteries with a 87 Ah end-of-life capacity for periods and peak loads. Thermal management includes dedicated radiators to maintain the and within operational ranges, preventing overheating from exposure and internal dissipation. handling and communications are supported by an X-band downlink capable of 560 Mbit/s for high-volume image transmission, along with S-band for , tracking, and command at 2 Mbit/s downlink and 64 kbit/s uplink. Attitude and orbit control is achieved through a three-axis stabilization system, incorporating multi-head star trackers and fiber optic gyroscopes for precise pointing, a GNSS receiver for position data, four reaction wheels for fine adjustments, magnetic torquers for momentum dumping, and 1 N thrusters for coarse control and cross-track steering. The propulsion subsystem uses a monopropellant setup with 120 kg of , enabling maintenance, recovery, debris avoidance maneuvers, and end-of-life deorbiting to comply with space debris mitigation guidelines. This configuration supports geolocation accuracy of 20 m without ground control points, ensuring stable Earth-oriented attitudes across all operational modes.

Orbital Parameters

As of 2025, the Sentinel-2 constellation comprises three operational satellites: (launched 2015, operations extended), (launched 2017), and Sentinel-2C (launched September 2024, operational since January 2025). Sentinel-2 satellites follow a sun-synchronous, near-polar characterized by an inclination of 98.62° and a mean altitude of 786 . This configuration ensures repeatable ground tracks and consistent observation conditions across global land surfaces from 56°S to 84°N latitude. The measures 100.6 minutes, enabling approximately 14.3 orbits per day. The descending node crosses the at a mean local of 10:30, which optimizes solar illumination angles for and minimizes variations in lighting across acquisitions. The mission's coverage features a 290 km swath width achieved through pointing of the platform. To address potential gaps in the , particularly during the initial single-satellite phase, the system incorporates off-nadir steering capabilities up to ±11° for targeted acquisitions. Orbital maintenance involves periodic adjustments to the semi-major to counteract perturbations from atmospheric , with maneuvers executed approximately monthly to preserve the required altitude and phasing. The satellites are positioned such that and Sentinel-2C are phased 180° apart, with offset by approximately 36° from , achieving an average revisit time of approximately 2.5 days at the equator.

Instrumentation

Multispectral Imager Design

The on Sentinel-2 is a push-broom designed to acquire across 13 bands, utilizing separate focal plane assemblies for the visible and near- (VNIR) range and the short-wave (SWIR) range. The instrument employs a (TMA) configuration, with the primary (M1), secondary (M2), and tertiary (M3) mirrors constructed from for thermal stability and lightweight performance. This optical design achieves a pupil diameter of 150 mm and a of 0.60 m at an f/4 , enabling a 290 km swath width while maintaining high geometrical fidelity. The VNIR focal plane assembly integrates monolithic detectors covering the VNIR spectral range, while the SWIR assembly uses (HgCdTe) detectors hybridized on CMOS readouts for the SWIR range, with the latter passively cooled to approximately 195 . Each focal plane features 12 elementary detectors arranged in two staggered rows to span the full swath, resulting in a total of approximately 295,000 pixels across both assemblies, including redundancies for reliability. Dichroic beam splitters separate the incoming light into VNIR and SWIR paths prior to detection, ensuring efficient spectral isolation without mechanical components. The video electronics subsystem includes a Video and Compression Unit (VCU) that performs 12-bit analog-to-digital conversion and applies onboard via , reducing data volume from an input rate of about 1.3 Gbit/s to 450 Mbit/s for downlink. To compensate for the staggered detector layout and differing integration times, temporal offsets are introduced between the VNIR and SWIR acquisitions, allowing precise alignment of the multispectral data during ground processing. This architecture draws heritage from prior missions like and Landsat, optimizing for wide-area, high-resolution .

Spectral Bands and Resolution

The Multispectral Imager () aboard Sentinel-2 satellites acquires imagery across 13 spectral bands in the visible/near- (VNIR) and shortwave (SWIR) regions, ranging from 443 nm to 2190 nm, to support high-resolution for land, coastal, and atmospheric monitoring. These bands are designed with specific central wavelengths, bandwidths, and spatial resolutions tailored to key environmental applications, such as correction, analysis, and assessment. The following table summarizes the band specifications:
BandPurposeCentral Wavelength (nm)Bandwidth (nm)Spatial Resolution (m)
B1Aerosol correction (coastal)4432060
B2Blue (vegetation, water)4906510
B3Green (vegetation, soil)5603510
B4Red (vegetation)6653010
B5Vegetation red edge7051520
B6Vegetation red edge7401520
B7Vegetation red edge7832020
B8Near-infrared (vegetation)84211510
B8ANarrow NIR (vegetation)8652020
B9Water vapor correction9452060
B10Cirrus detection (SWIR)13753060
B11SWIR (soil, vegetation)16109020
B12SWIR (soil, geology)219018020
Spatial resolutions vary by band to balance detail and data volume: four bands (B2, B3, B4, B8) at 10 m for high-fidelity visible and near-infrared ; six bands (B5–B7, B8A, B11, B12) at 20 m for red-edge and SWIR features; and three bands (, B9, B10) at 60 m for atmospheric corrections. The radiometric resolution is 12 bits across all bands, providing 4096 quantization levels for precise radiance measurements with an accuracy better than 5% (goal 3%). Signal-to-noise ratio (SNR) targets are met at reference radiances, exceeding 170 for Band 8 () to ensure reliable detection of subtle spectral signatures in vegetated areas. Key band applications include the red-edge bands (B5, B6, B7), which capture the sharp transition in reflectance to monitor content and health, and the SWIR bands (B11, B12), which penetrate atmospheric haze and reveal variations and mineral compositions. Band 1 supports coastal monitoring at 443 , while Band 10 detects thin clouds in the SWIR for improved scene classification. The MSI instruments on , 2B, and 2C share identical configurations, enabling seamless and temporal consistency across the constellation.

Calibration Methods

The Multispectral Instrument (MSI) on Sentinel-2 employs onboard calibration techniques to monitor and correct radiometric performance. A full-field sun diffuser, integrated into the Calibration and Shutter Mechanism (CSM), is illuminated by sunlight during monthly acquisitions to derive absolute and relative radiometric gain coefficients across all spectral bands. This method ensures uniformity by characterizing the diffuser's bidirectional reflectance distribution function (BRDF), with variations in VNIR bands remaining below 0.85% and SWIR bands showing up to -2.5% shifts, primarily in band B10, which are mitigated through decontamination procedures. Additionally, dark current is assessed using the shutter to block light, typically via night-time ocean acquisitions twice per month, revealing high stability in VNIR detectors (variations <1 digital count) and moderate changes in SWIR (up to 5 digital counts in B12). Vicarious calibration supplements onboard methods by leveraging stable terrestrial sites to validate top-of-atmosphere (TOA) radiance. Permanent sites such as in France and desert pseudo-invariant calibration sites (PICS) like Libya-1 and Libya-4 are routinely used, with image subsets of 20–30 km selected for analysis to minimize spatial variability. These efforts, aligned with CEOS protocols, achieve radiometric uncertainties below 5% through ground-based measurements and radiative transfer modeling, ensuring consistency with initial specifications. Absolute radiometric calibration begins with pre-launch laboratory testing to establish baseline gain coefficients and linearity. In orbit, these are updated monthly via sun diffuser observations, which track temporal evolution and apply corrections for detector-specific responses, maintaining overall TOA accuracy within 3–5% across bands. Yaw maneuvers are occasionally performed to refine diffuser angle dependence, enhancing the precision of these updates. Geometric calibration refines the instrument's pointing model using tie-point generation from overlapping acquisitions over ground reference images (GRI). This process achieves multi-temporal registration accuracy better than 0.3 pixels (approximately 3 m at 10 m resolution) and absolute geolocation errors below 12.5 m at 95% confidence (CE95), with refined products reaching ~9.5 m CE95. Performance monitoring involves ongoing analysis of signal-to-noise ratio (SNR) trends and inter-sensor comparisons to detect degradation. VNIR bands exhibit minimal SNR loss, with annual degradation rates below 1%, well within the >20% mission margin since launch. Cross-calibration with Landsat-8 OLI, using simultaneous overpasses over PICS like Libya-4, confirms TOA ratios within ±2.5%, supporting data and long-term .

Data Processing and Products

Level-1 Processing

The Level-1 processing of Sentinel-2 data transforms raw instrument measurements into geometrically and radiometrically corrected top-of-atmosphere (TOA) reflectance products, known as Level-1C. This stage occurs within the Payload Data Ground Segment (PDGS) and involves a series of automated algorithms applied to Level-0 and Level-1B input data streams from the . The primary goals are to correct for sensor-specific artifacts, apply absolute radiometric calibration, and achieve precise geolocation to enable consistent global mapping. Key processing steps begin with radiometric correction of the raw digital numbers (DN). This includes dark offset subtraction using the RADIO_ADD_OFFSET parameter to remove from the detector readout, followed by application of radiometric via the QUANTIFICATION_VALUE (typically 10,000) to convert DN to TOA values, expressed as percentages. These corrections account for sensor response non-uniformity and ensure the output represents physical radiance at the top of the atmosphere, with band-specific calibrations derived from pre-launch and on-orbit vicarious measurements. Geometric processing then performs orthorectification by projecting the image onto a cartographic using the Copernicus (DEM) at 30 m , compensating for Earth's , , and variations. Resampling employs a computation to align native MSI geometry with the output orthoimage, utilizing nearest-neighbor or other methods for different spectral bands. Geolocation accuracy is a critical output metric, achieving less than 12.5 m circular error at 90% (CE90) through integration of GPS, , and post-processing refinements like the Global Reference Image (GRI) for multi-temporal co-registration. masking algorithms generate using a combination of spectral bands, such as B1 and B2 (visible), B10 (), and B11/B12 (shortwave ) at reduced 60 m resolution, to identify opaque , , and / with probabilistic levels. These are embedded as auxiliary files to unreliable pixels without altering the core . The resulting Level-1C products are organized into granules of 100 km × 100 km tiles in the UTM/WGS84 projection, covering the swath with resampled spatial resolutions of 10 m, 20 m, and 60 m across the 13 bands. Data are stored in the , an XML-structured archive with JPEG2000-compressed imagery in 16-bit for efficient distribution while preserving . Processing is executed in near-real-time via the PDGS, typically completing within 3 hours of acquisition to support timely data dissemination through the Copernicus Hub.

Level-2 and Higher Products

The Level-2A product for Sentinel-2 represents an advanced stage of processing that delivers bottom-of-atmosphere () surface reflectance data, derived from the top-of-atmosphere (TOA) Level-1C inputs through atmospheric, , and corrections. This product is generated using the Sen2Cor processor, developed by the (ESA), which applies modeling to account for atmospheric effects such as scattering and absorption. Sen2Cor specifically retrieves aerosol optical thickness (AOT) and content to facilitate accurate correction, producing orthorectified BOA reflectance images across the 12 spectral bands, alongside auxiliary maps for AOT, water vapor, and scene that identify features like , cloud shadows, , and vegetated or bare areas. Accuracy assessments of Level-2A BOA reflectance demonstrate relative errors typically below 5% over land surfaces, with validation studies reporting root mean square errors ranging from 2-3% in vegetated areas to 3.5-5% in bright desert sites under clear-sky conditions. These products also ensure temporal consistency across the Sentinel-2 constellation, including satellites 2B and 2C (with 2C replacing 2A in January 2025), through harmonized processing baselines that minimize inter-sensor discrepancies in reflectance values. Following the replacement of Sentinel-2A by 2C in January 2025, processing baselines have been updated to ensure continuity and harmonization between 2B and 2C data. Sen2Cor has undergone iterative updates to enhance performance, with version 2.8 released in 2023 introducing improved screening and retrieval algorithms for better handling of diverse atmospheric conditions. Further advancements in version 2.12, released in July 2024 with minor update 2.12.03 in September 2024, optimized processing for Sentinel-2C data, including refined detection and terrain correction to support the satellite's integration into the constellation. Beyond Level-2A, Sentinel-2 supports higher-level prototypes and derived products that build on reflectance for thematic analysis, such as vegetation indices including the (NDVI) for monitoring plant health and productivity. Water-related products, like those for and quality assessment in coastal zones, are also prototyped using Sentinel-2 data through initiatives such as the ESA's Sen2Coral project, which develops algorithms for mapping and . These higher-level outputs are typically generated via user-driven processing with third-party tools like ESA's Sentinel Application Platform (SNAP), enabling custom derivations such as time-series composites and biophysical parameter retrievals.

Data Access and Distribution

Sentinel-2 data is disseminated through the Copernicus Data Space Ecosystem (CDSE), the official platform managed by the (ESA) and the , which replaced the Copernicus Open Access Hub (also known as ) after its decommissioning in late 2023. This ecosystem provides free, open, and systematic access to the complete archive of Sentinel-2 Level-1 and Level-2 products for scientific, commercial, and public users worldwide, in line with the Copernicus programme's full, free, and policy approved by ESA Member States in 2014 and operational since the mission's launch in 2015. The platform ensures near-real-time availability of newly acquired data, with long-term preservation handled via the Copernicus Long Term Archive to maintain accessibility for historical analysis. Access methods include user-friendly web interfaces like the Copernicus Browser for visual search and download, bulk retrieval options for large datasets, and programmatic queries through APIs such as the Sentinel Hub Process API or the OData-based query services compatible with libraries like Sentinelsat. Data products are distributed in the standardized Sentinel Application Format (SAFE), supporting interoperability, and users can leverage ESA-provided tools like the Sentinel-2 Toolbox—a component of the broader SNAP software suite—for visualization, analysis, and basic processing of multispectral imagery. The mission generates substantial data volumes, exceeding 365 terabytes annually, equivalent to hundreds of thousands of individual products covering global land surfaces. The CDSE supports a growing user community, surpassing 400,000 registered users by mid-2025, enabling diverse applications from to . To enhance regional accessibility and reduce latency, mirror hubs exist in various locations, including the Copernicus Australasia Regional Data Hub for and Pacific users, and Sentinel Asia initiatives in for disaster management and data distribution in the Asian region.

Applications and Impacts

Land and Vegetation Monitoring

Sentinel-2 plays a pivotal role in monitoring terrestrial ecosystems and agricultural landscapes by providing high-resolution multispectral imagery that captures subtle changes in vegetation health and land cover. With its 10-20 meter spatial resolution and 5-day revisit cycle, the mission enables detailed tracking of seasonal dynamics, supporting sustainable land management and policy implementation across global scales. Vegetation indices derived from Sentinel-2 data are essential for assessing plant vigor and phenological stages. The Normalized Difference Vegetation Index (NDVI), calculated as \text{NDVI} = \frac{\text{NIR} - \text{Red}}{\text{NIR} + \text{Red}}, where NIR is the near-infrared band and Red is the red band, quantifies green biomass and is widely used for detecting seasonal growth patterns. The Enhanced Vegetation Index (EVI), given by \text{EVI} = 2.5 \times \frac{\text{NIR} - \text{Red}}{\text{NIR} + 6 \times \text{Red} - 7.5 \times \text{Blue} + 1}, mitigates atmospheric and soil background effects, offering improved sensitivity in dense canopies for phenology monitoring. Sentinel-2's red-edge bands (centered at 705 nm, 740 nm, and 783 nm) enhance these indices, such as the Normalized Difference Red-Edge Index (NDRE), by providing greater sensitivity to chlorophyll content and early stress signals, which is crucial for tracking phenological transitions like leaf-out and senescence over seasons. Studies have shown that red-edge-based indices correlate strongly (R² = 0.69–0.89) with gross primary production in grasslands, outperforming traditional NDVI in phenological accuracy. In agricultural applications, Sentinel-2 supports crop type classification, yield estimation, and irrigation mapping, aiding frameworks like the European Union's (CAP). High-resolution imagery enables supervised classification of crops such as and with accuracies exceeding 90% when combined with time-series analysis, facilitating precise farm-level monitoring. For yield estimation, vegetation indices like NDVI and EVI from Sentinel-2 correlate with grain yields (e.g., R² = 0.63–0.83 for and ), allowing predictions of aboveground and harvest outcomes in regions like Ethiopia's fields. Irrigation mapping distinguishes irrigated from rainfed plots using spectral signatures, integrated with and meteorological data to estimate water needs and support CAP subsidy compliance through tools like the SENSAGRI , which produces seasonal crop maps across . Forest monitoring benefits from Sentinel-2's ability to detect and estimate , often integrated with for all-weather coverage. In the , Sentinel-2 imagery has been used to delineate deforested polygons with precision including F1-scores up to 0.78 via fully convolutional networks, identifying clear-cut areas in state. estimation employs artificial neural networks trained on Sentinel-2-derived indices like EVI and GNDVI, achieving low root-mean-square errors (≈15.9%) for aboveground stocks in Amazon-Cerrado transition zones, supporting . Fusion with radar data enhances reliability under , improving land-use/land-cover mapping for reduced emissions from and (REDD+) initiatives. Case studies highlight Sentinel-2's impact on drought assessments and global vegetation products. For instance, during the 2023 drought in , , Sentinel-2 NDVI time series helped detect crop failures in winter cereals, with mean NDVI in May correlating to drought impact classes at R² = 0.66. Similar monitoring has been applied in the Po River basin during the 2022 drought. Globally, Sentinel-2 enables 10-meter resolution (LAI) products, validated against ground data (RMSE < 0.5), which quantify canopy density for ecosystem modeling and have been applied in diverse biomes from boreal forests to croplands. As of 2025, Sentinel-2 data continues to support real-time drought assessments through Copernicus services.

Disaster Management

Sentinel-2 plays a critical role in disaster management by providing high-resolution multispectral imagery that enables rapid assessment and mapping of impacts from natural and anthropogenic hazards, supporting the (EMS) for timely response and recovery efforts. Its 10-20 meter spatial resolution and 13 spectral bands allow for detailed delineation of affected areas, particularly in vegetated and land-cover contexts, where optical data complements other sensors like synthetic aperture radar (SAR). In flood mapping, Sentinel-2 facilitates the delineation of inundated extents through pre- and post-event imagery analysis, using indices such as the Normalized Difference Water Index (NDWI) to distinguish water from land surfaces under cloud-free conditions. This approach has been applied in events like the 2025 Ohio Valley flooding, where Level-2A surface reflectance products enabled time-series mapping of flood progression at 10-meter resolution. Integration with SAR data from Sentinel-1 enhances reliability by overcoming Sentinel-2's limitations in cloudy or nighttime scenarios, allowing hybrid models to achieve mapping accuracies exceeding 90% for flood boundaries in riverine and coastal settings. For fire detection and burn scar assessment, Sentinel-2 leverages its short-wave infrared (SWIR) bands (B11 and B12) to compute the Normalized Burn Ratio (NBR), which highlights charred vegetation through increased reflectance in SWIR wavelengths post-fire. This method supports real-time activation via the Copernicus EMS, as demonstrated in the 2019 Indonesian wildfires, where analysis of over 47,000 images produced burn scar maps with 97.9% user accuracy, estimating 3.11 million hectares affected—far surpassing coarser estimates from MODIS. Such assessments aid in immediate damage evaluation and long-term recovery planning by quantifying burned areas in fire-prone biomes like tropical forests. In earthquake and landslide scenarios, Sentinel-2 contributes to damage assessment in vegetated terrains by detecting changes in land cover and surface ruptures through pixel offset tracking and sub-pixel correlation of optical images. For the 2023 Turkey-Syria earthquakes (Mw 7.8), Sentinel-2 imagery combined with data mapped horizontal offsets along the East Anatolian Fault and identified landslide risks on hillsides near İskenderun, supporting geohazard evaluations and aid prioritization in affected rural areas. Sentinel-2's response timeline enables data availability within 3-6 hours of acquisition, allowing near-real-time processing for disaster activation through platforms like the , which is essential for time-critical interventions. This rapid dissemination, often under EMS protocols, ensures imagery supports decisions within hours of an event onset.

Urban and Infrastructure Analysis

Sentinel-2's high spatial resolution of 10 meters enables detailed mapping of impervious surfaces, which are critical indicators of urban expansion in built environments. By utilizing multispectral bands such as those in the visible and near-infrared spectrum, researchers apply machine learning algorithms like random forest and deep convolutional neural networks to classify and quantify impervious areas, distinguishing them from pervious surfaces such as vegetation or water. This capability supports the tracking of city growth over time through change detection techniques, revealing patterns of urban sprawl and land use intensification. For instance, in the initiative, Sentinel-2 data updates high-resolution imperviousness layers, allowing for the monitoring of urban development across major cities with accuracies exceeding 85% in validation studies. In infrastructure monitoring, Sentinel-2 facilitates the detection and assessment of linear features like roads and railways via spectral indices and object-based image analysis, while also capturing port activities through temporal analysis of vessel traffic and sediment changes. Change detection algorithms, often leveraging the 10-meter panchromatic sharpened bands, identify construction progress and maintenance needs, such as pavement degradation or expansion projects, with reported detection accuracies around 90% in urban settings. These applications aid in planning and risk assessment for transportation networks, particularly in densely built areas where frequent revisits—every five days—provide timely updates. For ports, the mission's coastal aerosol band supports monitoring silting and coastline alterations, enhancing operational efficiency in small harbors. Sentinel-2 contributes to analyzing environmental challenges, including pollution and heat islands, by deriving aerosol optical depth (AOD) from Band 1 (coastal aerosol, 60-meter resolution) using atmospheric correction models like Sen2Cor, which correlate well with ground-based AERONET measurements (R² > 0.8). This enables mapping of air quality, highlighting pollution hotspots from industrial and traffic sources. For urban heat islands, proxies for land surface temperature are estimated from thermal-like responses in shortwave bands combined with models, revealing notable temperature differentials between centers and peripheries, often several degrees Celsius. Integration with higher-resolution data, such as WorldView-2, refines these analyses for sub-meter detail in complex urban morphologies, improving risk assessments in vulnerable Asian like where a 2025 study used Sentinel-2 data in GIS analysis to identify hazard zones based on factors including vegetation and topography.

Future Developments

Planned Satellites

The Sentinel-2 constellation is set to incorporate a fourth satellite, Sentinel-2D, to ensure full operational redundancy and continuity of high-resolution Identical in design to its predecessors, Sentinel-2D will feature the same Multi-Spectral Instrument (MSI) with 13 spectral bands, a 290 km swath width, and resolutions ranging from 10 to 60 meters, enabling seamless integration into the existing orbital configuration for a maintained 5-day global revisit cycle. The launch of Sentinel-2D is planned for June 2028 aboard a Vega-C rocket from Europe's Spaceport in Kourou, French Guiana, marking a transition to the upgraded Vega-C launcher for post-2025 Copernicus missions following the retirement of the original Vega vehicle. This deployment will replace the aging Sentinel-2B, launched in 2017, and extend the mission's baseline capabilities through at least 2035, supporting ongoing land monitoring services under the Copernicus programme. Looking beyond Sentinel-2D, the European Space Agency (ESA) is advancing studies and pre-development contracts for the Sentinel-2 Next Generation (S2NG) mission, aimed at launching in the 2030s to provide enhanced multispectral imaging with additional spectral bands and improved spatial resolutions in key wavelengths. As of 2025, Phase A/B1 design phases for the MSI evolution are underway, with a planned launch in the early 2030s. Contracts awarded to industry partners, such as OHB System AG in 2023 and Lynred in 2024, focus on Phase A/B1 design phases to evolve the MSI instrument while ensuring data continuity for Copernicus users. These future developments are contingent on sustained funding from the Copernicus budget, which has seen commitments through EU-UK agreements to support expansion missions, though potential delays could arise from budgetary reallocations or procurement challenges. The overarching goal remains to preserve the 5-day revisit frequency into the long term, bolstering Earth observation for environmental and societal applications.

Mission Extensions

The Sentinel-2 mission has successfully extended the operational lifespans of its satellites beyond their initial design parameters through careful propellant management and operational adjustments. Each satellite was designed for a nominal lifetime of 7.25 years, including a three-month commissioning phase, but carries sufficient approximately 123 kg per to support up to 12 years of operations, encompassing end-of-life de-orbiting maneuvers. For Sentinel-2B, launched in March 2017, this enables continued service well beyond its original 2024 endpoint, with ongoing fuel optimization ensuring sustained performance into the late 2020s. Similarly, the commissioning of Sentinel-2C, launched on September 5, 2024, was completed by early 2025, allowing it to assume primary duties alongside Sentinel-2B and maintain the constellation's five-day revisit capability over land surfaces. To enhance data continuity during transitions, the European Space Agency (ESA) has implemented temporary operational campaigns, including exceptional data collection modes. A notable example is the one-year extension for Sentinel-2A, initiated on March 13, 2025, following its handover to Sentinel-2C on January 21, 2025; during this period, Sentinel-2A was maneuvered to a position 36 degrees offset from Sentinel-2B, enabling a virtual extended swath with observations every 10 days over Europe and 20 days globally, thereby temporarily improving overlap and coverage density before its planned retirement. These campaigns prioritize high-demand regions like tropical areas and ensure seamless data flow for Copernicus services without interrupting user access. Degradation of satellite instruments is actively mitigated through rigorous health monitoring and calibration protocols. The Multispectral Instrument (MSI) on each Sentinel-2 satellite undergoes regular onboard sun diffuser calibrations and vicarious validation using reference sites to detect and correct any radiometric or geometric drifts, as evidenced by updates addressing temporary geolocation issues observed in prior years. Software enhancements, including optimized data compression algorithms, further support efficiency by reducing onboard processing demands while preserving image quality, allowing the aging constellation to maintain high-fidelity multispectral data acquisition. Looking ahead, the Sentinel-2 mission is integrated into the evolving Copernicus framework, known as Copernicus 2.0, which emphasizes long-term sustainability of Earth observation services through expanded missions and enhanced data ecosystems. This integration supports continuous land monitoring capabilities into the long term, bridging current operations with next-generation satellites like Sentinel-2D and the Sentinel-2 Next Generation series planned beyond 2035, ensuring uninterrupted high-resolution data for global applications.

References

  1. [1]
    ESA - Sentinel-2 - European Space Agency
    The Copernicus Sentinel-2 mission is based on a constellation of two identical satellites in the same orbit. Each satellite carries an innovative wide swath ...Data products · Story Applications Introducing... · 10 m · Open
  2. [2]
    ESA - Introducing Sentinel-2 - European Space Agency
    The mission mainly provides information for agricultural and forestry practices and for helping manage food security. Satellite images can be used to determine ...
  3. [3]
    Sentinel-2A (10m) Satellite Sensor
    Sentinel-2A and 2B Satellite Sensor Specifications ; Orbit. Sun-synchronous at altitude 786 km, Mean Local Solar Time at descending node: 10:30 (optimum Sun ...
  4. [4]
    Sentinel-2 Multispectral Imager - NASA Earthdata
    Sentinel-2 MSI samples 13 spectral bands at different spatial resolutions: four bands at 10 meter resolution, six bands at 20 meter resolution, and three bands ...
  5. [5]
    S2 Mission - SentiWiki
    Sentinel-2 is a European wide-swath, high-resolution, multi-spectral imaging mission. The full mission specification of the twin satellites flying in the same ...<|control11|><|separator|>
  6. [6]
    ESA - Sentinels in the fields - European Space Agency
    The Sentinels are explicitly designed to support the implementation and monitoring of European policies, such as the Common Agricultural Policy (CAP) at ...
  7. [7]
    GMES Sentinel-2 satellite contract signed - ESA
    Apr 17, 2008 · The mission objective is systematic coverage of the earth's land surface (from -56° to +83° latitude) to produce cloud-free imagery ...<|control11|><|separator|>
  8. [8]
    ESA - Satellite constellation - European Space Agency
    The Sentinel-2 mission is based on a constellation of two satellites, both orbiting Earth at an altitude of 786 km but 180° apart.
  9. [9]
    Copernicus: Sentinel-2 - eoPortal
    The platform provides X-band MSI data downlink at 560 Mbit/s and telemetry, tracking, and command (TT&C) data link with 64 kbit/s uplink and 2 Mbit/s downlink.<|control11|><|separator|>
  10. [10]
    Sentinel-2 - Documentation - Copernicus
    It aims at monitoring variability in land surface conditions, and its wide swath width (290 km) and high revisit time (10 days at the equator with one satellite ...
  11. [11]
    Sentinel-2A: Exceptional temporary extension campaign starting in ...
    Jan 27, 2025 · Starting at end of January 2025, the Sentinel-2A will initiate its maneuvers to reach its new orbital position, 36° away from Sentinel-2B, by ...
  12. [12]
    OBSERVER: Sentinel-2A extending operations to meet user needs
    Feb 5, 2025 · The decision to extend Sentinel-2A's mission brings clear advantages across multiple domains, improving land monitoring, disaster response, ...<|control11|><|separator|>
  13. [13]
    Airbus built Sentinel-2C satellite successfully launched
    Sep 5, 2024 · ... revisit time. The satellites orbit the Earth every 100 minutes covering all Earth's land surfaces, large islands, inland and coastal waters ...
  14. [14]
    20 years of CNES contributions to the Sentinel-2 mission
    Jul 23, 2025 · The satellites were placed in a 5-day phased orbit, making it ... two satellites Sentinel-2A and 2B differed by around 1%. This small ...
  15. [15]
    Sentinel 2A, 2B, 2C, 2D - Gunter's Space Page
    Jun 2, 2025 · ESA carried out the Sentinel-2 definition phase over 2005/2006. The implementation phase started in October 2007. The launch of the first ...
  16. [16]
    ESA's Optical High-Resolution Mission for GMES Operational Services
    May 15, 2012 · In this paper we present the current status of the Sentinel-2 mission after the completion of the satellite's Critical Design Review (CDR), ...
  17. [17]
    Copernicus: new name for European Earth Observation Programme
    Dec 10, 2012 · Copernicus is the new name of the European Commission's Earth Observation Programme, previously known as GMES (Global Monitoring for Environment ...Missing: date | Show results with:date
  18. [18]
    Sentinel-2C joins the Copernicus family in orbit - ESA
    Sep 5, 2024 · The mission is based on a constellation of two identical satellites flying in the same orbit but 180° apart: Sentinel-2A and Sentinel-2B.
  19. [19]
    ESA - Sentinel-2 operations - European Space Agency
    Feb 3, 2017 · The mission. Sentinel-2 is providing high-resolution optical imagery of agriculture, forests, land-use change and land-cover change. It is ...
  20. [20]
    Sentinel-2C delivers stunning first images - ESA
    Sep 17, 2024 · Sentinel-2C commissioning activities are carried out in parallel with the routine operations of Sentinel-1, Sentinel-2, Sentinel-3 for land, and ...<|separator|>
  21. [21]
    Sentinel-2A: Extended Campaign Starting March 13, 2025
    Feb 28, 2025 · We are pleased to announce that Sentinel-2A extended campaign will begin on March 13, 2025, for a period of one year.Missing: decommissioning date
  22. [22]
    Transfer of Duty from Sentinel-2A to Sentinel-2C on 21 January 2025
    The transition in operations is planned to occur seamlessly on 21 January 2025 between two orbits. The data provided to users will continue uninterrupted.
  23. [23]
    Sentinel data variety and volume
    Nov 4, 2021 · The CEDA Archive now holds over 10 Petabytes of satellite data from the Sentinels - this increases in volume at over 7 Terabytes per day.<|separator|>
  24. [24]
    ESA - Mitigating space debris generation
    ESA's guidelines for sustainable space · 1) Guarantee successful disposal · 2) Improve orbital clearance · 3) Avoid in-orbit collisions · 4) Avoid internal break- ...
  25. [25]
    [PDF] Sentinel-2 User Handbook - Copernicus
    Jul 24, 2015 · The mission will monitor variability in land surface conditions, and its wide swath width and high revisit time (10 days at the equator with ...
  26. [26]
    Sentinel-2 L2A
    Mission Information. Dedicated to supplying data for Copernicus services, Sentinel-2 is carrying a range of technologies, such as multi-spectral imaging ...
  27. [27]
    Sentinel-2 A Satellite Mission Summary | CEOS Database
    Sentinel-2 mission delivers high-resolution optical multispectral imagery across 13 spectral bands in the visible to shortwave infrared, with spatial ...
  28. [28]
    Uncertainties in GPS-based operational orbit determination
    Feb 13, 2020 · Orbit maintenance manoeuvers are executed weekly for S1 and approximately monthly for S2. Although the estimation of manoeuver performance is ...
  29. [29]
    Sentinel-2 MSI Design & System Performance
    Jul 12, 2019 · PDF | On Jul 12, 2019, Doron Nakar published Sentinel-2: Multispectral Instrument (MSI) design and system performance | Find, read and cite ...
  30. [30]
    [PDF] Sentinel 2 Geometric image quality commissioning – First results
    ... Sentinel-2 will offer ... The MSI is a push-broom imager based on a Tri Mirror Anastigmat (TMA) telescope. It is opened at F/4 and the focal length is 0.60m.
  31. [31]
    ESA - Instrument - European Space Agency
    Sentinel-2's high-resolution multispectral instrument is based on well-established heritage from France's SPOT missions and the US Landsat satellites.
  32. [32]
    Copernicus Sentinel-2A Calibration and Products Validation Status
    This article provides a description of the calibration activities and the status of the mission products validation activities after one year in orbit.
  33. [33]
    La Crau - EROS CalVal Center of Excellence (ECCOE) - USGS.gov
    La Crau has been extensively used for vicarious and absolute calibration of various satellite sensors. It has supported the calibration of Sentinel-2's ...
  34. [34]
    [PDF] Board Calibration Devices on Sentinel-2 MSI and Sentinel-3 OLCI
    Feb 9, 2021 · ❖ Generalization of yaw maneuvers for relative radiometric calibration of diffuser solar angle dependence. ✓ Better accuracy in flight than ...
  35. [35]
    S2 Processing - SentiWiki - Copernicus
    This page deepens the information regarding the Sentinel-2 production's logic baseline and algorithms and it's targeted to all expert users.Missing: RADREFF | Show results with:RADREFF
  36. [36]
    Sentinel-2A MSI and Landsat-8 OLI radiometric cross comparison ...
    This paper shows that the work done to date by the Landsat and Sentinel-2 calibration teams has resulted in stable radiometric calibration for each instrument.Missing: SNR | Show results with:SNR
  37. [37]
    Sen2Cor – STEP - Science Toolbox Exploitation Platform
    Jul 18, 2024 · Sen2Cor is a processor for Sentinel-2 Level 2A product generation and formatting; it performs the atmospheric-, terrain- and cirrus correction of Top-Of- ...Sen2Cor v2.12 · Sen2Cor v2.11 · Sen2Cor v2.8 · Sen2Cor v2.10
  38. [38]
    (PDF) Sen2Cor for Sentinel-2 - ResearchGate
    Sen2Cor is a Level-2A processor which main purpose is to correct single-date Sentinel-2 Level-1C Top-Of-Atmosphere (TOA) products from the effects of the ...
  39. [39]
    Assessment of atmospheric correction methods for Sentinel-2 ...
    This paper aims to evaluate the quality of Level-2A products obtained through different methods in Mediterranean shrub and grasslands.
  40. [40]
    [PDF] Assessment of the Performance of the Atmospheric Correction ...
    May 19, 2023 · The MAJA surface reflectance values of the 10 m resolution Sentinel-2 bands are averaged over 50 by 50 m square centred on the photometer mast.
  41. [41]
    [PDF] Data Quality Report Sentinel-2 MSI L2A July 2025 - Copernicus
    Jul 9, 2025 · This document provides the status of Sentinel-2 mission Level-2A (L2A) products data quality. It refers to.
  42. [42]
    [PDF] Sen2Cor v 2.12.03: Installation, Configuration and Processing
    Feb 20, 2025 · Users shall update their Sen2Cor version to this released 2.12.03 if they want to perform processing on the new Sentinel-2C L1C products. Page 7 ...
  43. [43]
  44. [44]
    Status of Phenological Research Using Sentinel-2 Data: A Review
    This review paper discusses the current state of vegetation phenology studies based on the first five years of Sentinel-2, their advantages, limitations,
  45. [45]
    Evaluating the Effectiveness of Using Vegetation Indices Based on ...
    These results suggest that the high-spatial-resolution red-edge index from Sentinel-2 can improve large-scale spatio-temporal GPP assessments.Missing: RE | Show results with:RE
  46. [46]
    European Union crop map 2022: Earth observation's 10-meter dive ...
    Sep 27, 2024 · We present an advanced 10-metre resolution map for the EU and Ukraine with 19 crop types for 2022, updating the 2018 version.
  47. [47]
    Mapping crop yield spatial variability using Sentinel-2 vegetation ...
    Nov 3, 2023 · We used Sentinel-2, crop canopy analyzer, and ground-truthing data to estimate grain yield (GY) and aboveground biomass (AGB) of two major crops, teff and ...
  48. [48]
    SENSAGRI crop type maps | EU CAP Network - European Union
    For example, an evaluator can estimate irrigation water needs using crop type maps, soil maps, meteorological data, and agronomic information. The estimated ...Missing: yield | Show results with:yield
  49. [49]
    Deforestation Detection with Fully Convolutional Networks in the ...
    Dec 14, 2021 · We conclude that the high resolution of Sentinel-2 images improves the segmentation of deforestation polygons both quantitatively (in terms of F ...
  50. [50]
    Biomass Prediction Using Sentinel-2 Imagery and an Artificial ...
    Sep 11, 2024 · In this study, we employed an artificial neural network, field data, and remote sensing techniques to develop a model for estimating biomass in the remaining ...
  51. [51]
    Integration of Sentinel-1 and Sentinel-2 for Classification and LULC ...
    Mar 6, 2019 · An example is the LULC approach for monitoring Reduced Emissions from Deforestation and Forest Degradation (REDD+) [10,11] and for ecosystem ...
  52. [52]
    Evaluating Sentinel-2 for Monitoring Drought-Induced Crop Failure ...
    This study examined whether Sentinel-2 can detect total crop losses of winter cereals using ground truth data on crop failure.
  53. [53]
    How the EU Space Programme helps us monitor drought around the ...
    Jan 22, 2025 · The Copernicus Sentinel satellites provide valuable data for tracking droughts by using advanced instruments to capture high-resolution imagery ...
  54. [54]
    Mapping Leaf Area Index at 10 m resolution using Sentinel-2
    Sep 1, 2024 · 10 m resolution leaf area index (LAI) maps is critical for applications related to climate adaptation, sustainable agriculture, and ecosystem monitoring.
  55. [55]
    Validation of sentinel-2 leaf area index (LAI) product derived from ...
    Jul 9, 2020 · This study validated SNAP-derived LAI from Sentinel-2 and its consistency with existing global LAI products.
  56. [56]
    ESA - Disaster mapping - European Space Agency
    During humanitarian crises, Sentinel-2's imagery can help identify suitable locations for large refugee camps, and be used to monitor these camps and assist ...
  57. [57]
    Effectiveness of Sentinel-1 and Sentinel-2 for flood detection ...
    Aug 2, 2022 · The objective of this study is to evaluate through a synthetic study the effectiveness of Sentinel-1 and Sentinel-2 in the systematic assessment of floods in ...
  58. [58]
    Time series flood mapping using the Copernicus dataset in Google ...
    The Sentinel-2 Level-2A surface reflectance imagery was used to map annual flood extents from 2019–2023 and was processed on the Google Earth Engine platform.
  59. [59]
    Copernicus Sentinel-2 Imagery for the Ohio Valley Flooding ...
    Sep 22, 2025 · Copernicus Sentinel-2 Imagery for the Ohio Valley Flooding February 2025.
  60. [60]
    Rapid assessment of riverine flood inundation in Chenab floodplain ...
    Mar 21, 2023 · The overall MNDWI derived inundation accuracy of six images was above 90%, and only two images had values of 90%, as shown in Table 2. Similarly ...Inundation Maps And... · Accuracy Assesment · Rapid Flood Mapping Using...
  61. [61]
    Refined burned-area mapping protocol using Sentinel-2 data ...
    Nov 18, 2021 · The frequency–area distribution of the Sentinel-2 burn scars follows the apparent fractal-like power law or Pareto pattern often reported in ...
  62. [62]
    Sentinel-2 MSI data for active fire detection in major fire-prone biomes
    This paper aims to investigate the use of reflective wavelength Sentinel-2 data to classify unambiguous active fire areas from inactive areas at 20 m spatial ...
  63. [63]
    Satellites support impact assessment after Türkiye–Syria earthquakes
    Feb 13, 2023 · Satellite data are being used to help emergency aid organisations, while scientists have begun to analyse ground movement – aiding risk assessments.
  64. [64]
    Impact assessment of the catastrophic earthquakes of 6 February ...
    Feb 6, 2023 · This work presents an initial impact assessment of the catastrophic earthquakes of 6 February 2023 in Turkey and Syria, using extensive Optical ...
  65. [65]
    How soon after the acquisition are data available? - Sentinel Hub
    ESA usually makes them available on their OpenHub in 6-12 hours (target timing is 3-6 hours, sometimes it takes longer, even more than one day).Missing: disaster response
  66. [66]
    Home — Copernicus EMS Mapping
    ### Summary of Sentinel-2 and Copernicus EMS for Disaster Management
  67. [67]
    Monitoring Urban Areas with Sentinel-2A Data: Application to ... - MDPI
    In this work, we propose to exploit the benefit of Sentinel-2 images to monitor urban areas and to update Copernicus Land services, in particular the High ...
  68. [68]
    Monitoring Impervious Surface Area Dynamics in Urban ... - MDPI
    Apr 8, 2023 · In this study, remotely sensed data for time-series ISA mapping and analysis were captured by Sentinel-2 multispectral instrument (MSI) with 13 ...3. Methodology · 3.2. 1. Cbam Module · 4. Results
  69. [69]
    Development of Nationwide Road Quality Map: Remote Sensing ...
    A few examples of such remote sensing applications to infrastructure monitoring include observing infrastructure damage after natural and man-made disasters, ...
  70. [70]
    mapping road pavement quality from optical satellite imagery using ...
    This research investigated the potential of mapping road pavement quality from freely accessible optical satellite imagery using machine learning methods.
  71. [71]
    Methodology for Monitoring Silting and the Coastline of Small Ports ...
    Jul 29, 2024 · The present study demonstrates the ability of Sentinel-2 satellites to monitor silting and coastline changes in the vicinity of this port.
  72. [72]
    High-resolution aerosol retrieval over urban areas using sentinel-2 ...
    Aug 10, 2025 · The validation results show that the Sentinel-2 AOD retrievals agreed well with the AERONET AOD measurements, with an overall correlation ...
  73. [73]
    Aerosol Optical Depth Retrieval for Sentinel-2 Based on ... - MDPI
    Sep 5, 2023 · Atmospheric aerosol significantly affects the climate environment and public health, and Aerosol Optical Depth (AOD) is a fundamental ...Missing: islands | Show results with:islands
  74. [74]
    Analysis of urban heat islands combining Sentinel 2 and Landsat 8 ...
    This study combined Landsat 8 and Sentinel 2 images to enhance the process and calculation of LST value, spatial resolution was improved to 10m compared to 30m.Missing: depth | Show results with:depth
  75. [75]
    Satellite Imagery for Comprehensive Urban Morphology and ... - MDPI
    A combination of satellite imagery from Sentinel-2 and WorldView-2, along with vector spatial data, were used in the GEE platform. The study area was ...
  76. [76]
    spatial analysis of urban flood vulnerability using weighted overlay ...
    Jun 14, 2025 · This study assessed flood hazards in the Greater Jakarta area, Indonesia, using geospatial analysis and the weighted overlay method in a ...
  77. [77]
    Sentinel-2 D Satellite Mission Summary - CEOS Database
    A summary of the Sentinel-2 D (Sentinel-2 D) Earth observation satellite mission from Committee on Earth Observing Satellites (CEOS).
  78. [78]
    Final original Vega launches Sentinel-2C - SpaceNews
    Sep 4, 2024 · A fourth satellite, Sentinel-2D, is slated to launch in 2028 to replace Sentinel-2B and provide continuity for the program into the 2030s.
  79. [79]
    OHB System AG awarded contract for the development phase of the ...
    Jan 15, 2023 · Therefore, work is already underway to develop the next generation of Sentinel-2 satellites for the European Earth observation programme ...
  80. [80]
    Lynred wins Sentinel-2 NG mission pre-development contract to ...
    Apr 22, 2024 · Lynred is contracted for the pre-development of Phase A/B1 of the next-generation project. It will design a multispectral infrared detector, a complex high- ...Missing: hyperspectral | Show results with:hyperspectral
  81. [81]
    S2NG-A Satellite Mission Summary | CEOS Database
    The S2NG mission will enable enhanced capabilities relative to S2 through the inclusion of new bands and improved spatial resolution at some wavelengths.Missing: hyperspectral | Show results with:hyperspectral<|control11|><|separator|>
  82. [82]
    Future of Copernicus Expansion Missions secured - ESA
    With the United Kingdom's re-entry to the EU's Copernicus programme, funding has been confirmed to complete the development of all six Copernicus Sentinel ...Missing: budget risks
  83. [83]
    Sentinel-2A: Exceptional temporary extension campaign starting in ...
    We are pleased to announce the launch of an exceptional temporary extension campaign for the Sentinel-2A satellite starting in March 2025.
  84. [84]
    [PDF] Sentinel-2 Annual Performance Report – Year 2022
    Feb 28, 2023 · The following overview table provides a summary of the Level-2A products data quality performances. Note that the performances for surface ...