Reprint
Fiducial Reference Measurements for Satellite Ocean Colour
Edited by
October 2020
508 pages
- ISBN978-3-03943-064-2 (Hardback)
- ISBN978-3-03943-065-9 (PDF)
This book is a reprint of the Special Issue Fiducial Reference Measurements for Satellite Ocean Colour that was published in
Engineering
Environmental & Earth Sciences
Summary
Ocean color measured by satellite-mounted optical sensors is an essential climate variable that is routinely used as a central element for assessing the health and productivity of marine ecosystems and the role of oceans in the global carbon cycle. For satellite ocean color to be reliable and used in these and other important environmental applications, the data must be trustworthy and high quality. Pre-flight and on-board calibration of satellite ocean color sensors is conducted; however, once in orbit, the data quality can only be fully assessed via independent calibration and validation activities using surface measurements. These measurements therefore need to be at least as high quality as the satellite data, which necessitates SI traceability and a full uncertainty budget. This is the basis for fiducial reference measurements (FRMs) and the FRM4SOC project, which was an European Space Agency (ESA) initiative to establish and maintain SI-traceable ground-based FRM for satellite ocean color, thus providing a fundamental contribution to the European system for monitoring the Earth (Copernicus). This Special Issue of MDPI Remote Sensing is designed to showcase this essential Earth observation work through the publication of the project’s main achievements and results accompanied by other select relevant articles.
Format
- Hardback
License
© 2020 by the authors; CC BY-NC-ND license
Keywords
VIIRS; SNPP; NOAA-20; DINEOF; ocean color data; data merging; gap-filling; ocean color radiometers; radiometric calibration; indoor intercomparison measurement; agreement between sensors; measurement uncertainty; ocean color radiometers; radiometric calibration; field intercomparison measurement; agreement between sensors; measurement uncertainty; Hyperspectral reflectance; validation; autonomous measurements; ground-truth data; system design; downwelling irradiance; satellite validation; Fiducial Reference Measurements; water reflectance; satellite; calibration; solar diffusor; SDSM; desert trend; lunar calibration; RVS; MODIS; Aqua; ocean color; water reflectance; satellite validation; Fiducial Reference Measurements; water-leaving radiance; atmospheric correction; Sentinel-3 OLCI; Copernicus; measurement uncertainty; validation; ocean colour; downwelling irradiance; water-leaving radiance; satellite validation; Fiducial Reference Measurements; ocean colour; system vicarious calibration; fiducial reference measurement; Lampedusa; Copernicus; MOBY; MarONet; radiometry; research infrastructure; uncertainty budget; satellite ocean colour; fiducial reference measurements (FRM); calibration and validation; SI traceability and uncertainty; Copernicus; European Space Agency (ESA); Committee for Earth Observation Satellites (CEOS); satellite ocean colour; system vicarious calibration; fiducial reference measurements; radiometry; SI-traceability; uncertainty budget; Mediterranean Sea; BOUSSOLE; MSEA; fiducial reference measurements; hyper-temporal dataset; optical radiometry; coastal environment; observation geometry; fiducial reference measurements; remote sensing reflectance; ocean colour radiometers; TriOS RAMSES; Seabird HyperSAS; field intercomparison; AERONET-OC; Acqua Alta Oceanographic Tower; ocean color; remote sensing; radiometry; TriOS RAMSES; Seabird HyperSAS; measurement uncertainty; validation; Sentinel-3 OLCI; Copernicus; ocean colour; spectral irradiance comparison; spectral radiance sources comparison; fiducial reference measurements