The Copernicus atmospheric Mission Sentinel-4: Status of algorithm developments for the L1b and L2 processors

2020 ◽  
Author(s):  
Grégory Bazalgette Courrèges-Lacoste ◽  
Norrie Wright ◽  
Ben Veihelmann ◽  
Berit Ahlers ◽  
Olivier Le Rille ◽  
...  
Keyword(s):  
Air Quality ◽  
Wavelength Range ◽  
Near Infrared ◽  
Quality Parameters ◽  
Atmospheric Composition ◽  
Signal Loss ◽  
Infrared Wavelength ◽  
Ground Segment ◽  
Spectral Bands ◽  
The Status

<p>The Copernicus missions Sentinel-4 (S4) and Sentinel-5 (S5) will carry out atmospheric composition observations on an operational long-term basis to serve the needs of the Copernicus Atmosphere Monitoring Service (CAMS) and the Copernicus Climate Change Service (C3S).</p><p>Building on the heritage from instruments such as GOME, SCIAMACHY, GOME-2, and OMI, S4 is an imaging spectrometer instruments covering wide spectral bands in the ultraviolet and visible wavelength range (305-500nm) and near infrared wavelength range (750-775 nm). S4 will observe key air quality parameters with a pronounced temporal variability by measuring NO<sub>2</sub>, O<sub>3</sub>, SO<sub>2</sub>, HCHO, CHOCHO, and aerosols over Europe with an hourly revisit time.</p><p>A series of two S4 instruments will be embarked on the geostationary Meteosat Third Generation-Sounder (MTG-S) satellites. S4 establishes the European component of a constellation of geostationary instruments with a strong air quality focus, together with the NASA mission TEMPO and the Korean mission GEMS.</p><p>This paper will address the development status of the L1b Operational Processor (L1OPS) by EUMETSAT and the supporting L1b reference processor (L1RP) developed by ESA; In dedicated cases (e.g. CTI, Non-linearity signal loss, ...) the algorithms input from the S4 Industrial Prime have been used. The paper will also provide an overview of the status of the Level 2 processor developed by ESA for integration into the EUMETSAT MTG-S ground segment.</p>

Sentinel 5 Precursor: Status of TROPOMI and the Operational Data Products

2020 ◽  
Author(s):  
Pepijn Veefkind ◽  
Ilse Aben ◽  
Angelika Dehn ◽  
Quintus Kleipool ◽  
Diego Loyola ◽  
...  
Keyword(s):  
Near Infrared ◽  
European Space Agency ◽  
Atmospheric Composition ◽  
Spectral Bands ◽  
Space Agency ◽  
Swir Band ◽  
Data Products ◽  
The Status ◽  
New Research ◽  
Operational Data

<p>The Copernicus Sentinel 5 Precursor (S5P) is the first of the Sentinel satellites dedicated to the observation of the atmospheric composition, for climate, air quality and ozone monitoring applications. The payload of S5P is TROPOMI (TROPOspheric Monitoring Instrument), a spectrometer covering spectral bands in ultraviolet, visible, near infrared and shortwave infrared, which was developed by The Netherlands in cooperation with the European Space Agency (ESA). TROPOMI has a wide swath of 2600 km, enabling daily global coverage, in combination with a high spatial resolution of about 3.5 x 5.5 km<sup>2</sup> (7 x 5.5 km<sup>2</sup> for the SWIR band).</p><p>S5P was successfully launched on 13 October 2017 and following a six-month commissioning phase, the operational data stream started at the end of April 2018. All of the TROPOMI operational data products have been released, with the exception of the ozone profile, which is planned to become available with the next major release[AR1]  of the Level 1B data. In addition to the operational data products, new research products are also being developed.</p><p>In this contribution, the status of TROPOMI and its data products will be presented. Results for observations of recent events will be provided, along with an outlook on the next release of the data products.</p><div> <div> <div> </div> </div> </div>

Hybridization-sensitive fluorescence control in the near-infrared wavelength range

2011 ◽  
Vol 9 (11) ◽  
pp. 4199 ◽  
Author(s):  
Shuji Ikeda ◽  
Hiroyuki Yanagisawa ◽  
Akiko Nakamura ◽  
Dan Ohtan Wang ◽  
Mizue Yuki ◽  
...  
Keyword(s):  
Wavelength Range ◽  
Near Infrared ◽  
Infrared Wavelength

Drone image processing for water quality in the cloud

2021 ◽  
Author(s):  
Els Knaeps ◽  
Robrecht Moelans ◽  
Liesbeth De Keukelaere
Keyword(s):  
Water Quality ◽  
Near Infrared ◽  
Quantitative Information ◽  
Short Wave ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Radiometric Calibration ◽  
Water Turbidity ◽  
Marine Litter ◽  
Infrared Wavelength

<p>The use of drones to monitor water quality is relatively new. Although drones and lightweight cameras are readily available, deriving water quality parameters is not so straightforward.  It requires knowledge of the water optical properties, the atmospheric contribution and special approaches for georeferencing of the drone images.  We present a cloud-based environment, MAPEO-water, to deal with the complexity of water surfaces and retrieve quantitative information on the water turbidity, the chlorophyll content and the presence of marine litter/marine plastics. </p><p>MAPEO-water supports already a number of camera types and allows the drone operator to upload the images in the cloud. MAPEO-water also offers a protocol to perform the drone flights and allow efficient processing of the images. Processing of the drone images includes direct georeferencing, radiometric calibration and removal of the atmospheric contribution. Final water quality parameters can be downloaded through the same cloud platform. Water turbidity and chlorophyll retrieval are based on spectral approaches utilizing information in the visible and Near Infrared wavelength ranges. Marine litter detection combines spectral approaches and Artificial Intelligence. Visible, Near Infrared and Short Wave Infrared wavelengths are used to detect marine litter but also discriminate marine litter from turbid water plumes and surface features such as glint and white caps. First tests have also been performed to apply a Convolutional Neural Network (CNN) for the automatic recognition of the marine plastic litter.</p>

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