Metrology for Earth Observation and Climate 3

Non-linear response to a class of hyper-spectral radiometers
Marco Talone and Giuseppe Zibordi
Published 21 September 2018 • © 2018 BIPM & IOP Publishing Ltd


Realistic Forest Stand Reconstruction from Terrestial LiDAR for Radiative Transfer Modelling
Kim Calders, Niall Origo, Andrew Burt, Mathias Disney, Joanne Nightingale, Pasi Raumonen, Markku Åkerblom, Yadvinder Malhi, Philip Lewis
Remote Sens. (2018), 10(6), 933;


RadCalNet: A Radiometric Calibration Network for Earth Observing Imagers Operating in the Visible to Shortwave Infrared Spectral Range

Bouvet, M., (2019).   


Monte-Carlo based quantification of uncertainties in determining ocean remote sensing reflectance from underwater fixed-depth radiometry measurements

Bialek, A., (2020).


Calibration of a CubeSat spectroradiometer with a narrow-band widely tunable radiance source

Berg, S., (2021).


Traceability of the Sentinel-3 SLSTR Level-1 Infrared Radiometric Processing

Smith, D., (2021).


Comparison of the Sentinel-3A and B SLSTR Tandem Phase Data Using Metrological Principles

Hunt, S., (2020).


Uncertainty Analysis for RadCalNet Instrumented Test Sites Using the Baotou Sites BTCN and BSCN as Examples

Ma, L., (2020).



Ancillary Data Uncertainties within the SeaDAS Uncertainty Budget for Ocean Colour Retrievals

Pieter De Vis, Frederic Melin, Samuel E. Hunt, Rosalinda Morrone, Morven Sinclair, Bill Bell

Remote Sens. (2022), 14(3), 497;