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SERVICES



S1 Monitoring of Continental Fresh Water Service
Service S1 is dedicated to monitoring of water quality and quantity for in-land water reservoirs by a combined use of Sentinel 2 and 3.

The fresh water service addresses the monitoring of continental waters primarily targeted for water consumption after treatment and secondary for irrigation. For the water consumption, the basic fundamental information is the water quality before treatment. Large industrial companies in charge of such treatment are suffering from natural status of water in reservoirs, which can largely evolve during the year. In particular, open reservoirs are subject to cyanobacteria and/or macro algae proliferation that may severely impact the purification process to put in place (ozonification, filtering, …). Water industries (for consumption or hydroelectric energy) have also often the mandate to monitor and to ensure the quality of reservoir, which are routinely used for recreative activities (bathing, sailing). Several studies have demonstrated that the best candidate for this kind of monitoring will be offered by Sentinel-2 (and possibly in conjunction with Sentinel-3). The SenSyF service will thus make a large use of Sentinel 2 products in a very novel manner in order to provide NRT information for operational water treatments to react in front of a crisis situation. For irrigation, the S1 service will elaborate dedicated products to monitor the quantity in reservoir (with altimetry capabilities offered by Sentinel-3 and spatial resolution of Sentinel-2 for delineation of water lines) that will be provided to SenSyF service for agriculture.

S1 image

S4 Spectro-Temporal Integration Service
Will provide spectro-temporal integration of reflectance data from multiple different sensors, generating a multi-resolution spectro-temporal product.

More and more remote sensing satellites are being launched every year, carrying sensors with increasing spatial, temporal and spectral resolution. They are producing huge archives of data. But all this data is plagued by clouds, snow, and other effects, which makes quite difficult to transform potential applications into operational programs.The objective of S4 is to develop a methodology able to ingest multitemporal data from Sentinel 2 and Sentinel 3 satellites, integrate all this data and generate cloud-free mosaics at any given date of interest and at a given spatial resolution. For this task, we need to develop an integrated workflow that involves several processing techniques: Multitemporal cloud screening, Sensor inter-calibration, Spectro-temporal interpolation, Spatial downscaling/upscaling, etc. This integration should allow the development of higher level products from cloud-free mosaics for different applications/services, such as change detection, land cover dynamics, and vegetation monitoring in agricultural areas.

S4 image

S7 TOUCAN – Tools for Optical Sensor Calibration & Analysis
Framework for developing and executing tools allowing inter-comparison, calibration, validation and analysis of optical sensor products and performance.

The primary focus of the service is to provide a set of tools for Earth Observation medium resolution optical sensor calibration and validation (CalVal). The tool ingests Level 1b Top of Atmosphere (TOA) reflectances over pseudo invariant calibration sites (PICS) that are used for radiometric trending of optical satellite systems. This approach to vicarious calibration has demonstrated a high degree of reliability and repeatability. Essentially a match-up geospatial database is populated with metadata that enables rapidly matching remote sensor data with the same viewing and illumination geometry and the same PICS target location enabling the inter-comparison of L1b TOA radiance & reflection data (400nm – 4μm) from one sensor with another. The service is extensible allowing new algorithms to be implemented as plug-ins. Current tools provide radiometric drift and BRDF drift capabilities, determination of Raleigh scattering coefficients, a cloud-screening algorithm, and an instrument spectral response comparison tool. AATSR and MERIS data can currently be ingested but the operational objective is Sentinel-2 MSI and Sentinel-3 OLCI and SLSTR data.

S7_picture

S2 Arctic-Alpine Growing Season Mapping Service
Will provide a service mapping the growing season in arctic and alpine areas of northern Europe.

The Arctic-Alpine Growing Season service will provide a service for mapping the onset and end of the growing season in selected areas of the arctic and alpine parts of northernmost Europe. The service will be based on input from Sentinel-2 and Sentinel-3 data. The detection of the onset of the growing season is done by pixel specific NDVI threshold, and the detection of the end of the growing season by combining bands in the visual and short wave infrared part. The thresholds are set by means of field validation data. The service will benefit from the SenSyF framework by achieving easy access to EO data bases and scalable computing resources, as well as to collaborative research on the processing of composite time series of cloud free data. In the Sentinel pre-launch phase, data from Landsat, MODIS and other suitable satellites (ex. Formosat-2) will be used for the service development and demonstration.

S5 Multitemporal Land Cover Classification and Change Detection Service
Will generate land cover and land cover change products from cloud-free mosaics.

The service S5 is focused on the exploitation of Sentinel-2 time series to analyze the land cover dynamics and to detect changes. For this task, multitemporal classification and regression techniques are used to provide products exploiting the high revisit time, high spatial resolution and larger number of narrow bands of Sentinel-2. Cloud detection is first considered in order to obtain cloud-free time series, since undetected clouds might hamper Sentinel-2 operational use. The high revisit time of Sentinel-2 allows us to consider cloud screening as an anomaly or change detection problem in the temporal domain. Then, this cloud-free time series at high spatial resolution will be used to obtain a better monitoring of the land cover dynamics and to generate more elaborated products.

S5 Image

S3 Soil Freezing/Thawing Product Service
Dedicated to developing a fully automatic service based on Sentinel-1 and 3 data to classify ground as frozen or thawed.

The Soil Freezing Service will provide a fully automatic service based on Sentinel-1 and -3 data to classify ground as frozen or thawed. The service will be provided for selected areas in Europe (Arctic and mountain areas) where the ground is frozen in parts of the year. The frozen/thawed detection is based on change detection in Synthetic Aperture Radar backscatter image with respect to reference data acquired and time averaged systematically over the the winter period.The service will benefit from the SenSyF framework by achieving easy access to EO data bases and scalable computing resources, as well as to pre-processing functionalities.

S6 Agriculture Support Service
Dedicated to support farmers and associations in managing the agriculture irrigation process.

The Agriculture Support Service aims to provide support services for irrigation, based on the use of Earth Observation (EO) data, hydrological models and meteorological data. The service has been tested for a period of 3 years, and presently has about 80 pivot plots being covered by the service. ETA maps are generated by MOHID LAND model and represent the evapotranspiration accumulated weekly throughout the growing period of maize. The service also includes a dedicated WebGIS interface in order to increase the data visibility and interactivity with the user.

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