Članki z zahtevami za javni dostop - Hubert LoiselVeč o tem
Na voljo nekje: 30
Robust algorithm for estimating total suspended solids (TSS) in inland and nearshore coastal waters
SV Balasubramanian, N Pahlevan, B Smith, C Binding, J Schalles, ...
Remote Sensing of Environment 246, 111768, 2020
Zahteve: US National Science Foundation, US Department of Defense, US National …
Development of a semi-analytical algorithm for the retrieval of suspended particulate matter from remote sensing over clear to very turbid waters
B Han, H Loisel, V Vantrepotte, X Mériaux, P Bryère, S Ouillon, ...
Remote Sensing 8 (3), 211, 2016
Zahteve: Chinese Academy of Sciences, National Natural Science Foundation of China
Requirements for a coastal hazards observing system
J Benveniste, A Cazenave, S Vignudelli, L Fenoglio-Marc, R Shah, ...
Frontiers in Marine Science 6, 348, 2019
Zahteve: US National Aeronautics and Space Administration, US National Oceanic and …
Going beyond standard ocean color observations: lidar and polarimetry
C Jamet, A Ibrahim, Z Ahmad, F Angelini, M Babin, MJ Behrenfeld, E Boss, ...
Frontiers in Marine Science 6, 251, 2019
Zahteve: US National Aeronautics and Space Administration, US National Oceanic and …
Remotely estimating total suspended solids concentration in clear to extremely turbid waters using a novel semi-analytical method
D Jiang, B Matsushita, N Pahlevan, D Gurlin, MK Lehmann, CG Fichot, ...
Remote sensing of environment 258, 112386, 2021
Zahteve: US National Science Foundation, US National Aeronautics and Space …
GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality
MK Lehmann, D Gurlin, N Pahlevan, K Alikas, T Conroy, J Anstee, ...
Scientific data 10 (1), 100, 2023
Zahteve: US National Oceanic and Atmospheric Administration, Helmholtz Association …
Validation and intercomparison of ocean color algorithms for estimating particulate organic carbon in the oceans
H Evers-King, V Martinez-Vicente, RJW Brewin, G Dall'Olmo, AE Hickman, ...
Frontiers in Marine Science 4, 251, 2017
Zahteve: US National Aeronautics and Space Administration, UK Natural Environment …
A compilation of global bio-optical in situ data for ocean-colour satellite applications
A Valente, S Sathyendranath, V Brotas, S Groom, M Grant, M Taberner, ...
Earth System Science Data 8 (1), 235-252, 2016
Zahteve: US National Science Foundation, US National Aeronautics and Space …
An inverse model for estimating the optical absorption and backscattering coefficients of seawater from remote‐sensing reflectance over a broad range of oceanic and coastal …
H Loisel, D Stramski, D Dessailly, C Jamet, L Li, RA Reynolds
Journal of Geophysical Research: Oceans 123 (3), 2141-2171, 2018
Zahteve: US National Science Foundation, US Department of Defense, US National …
A compilation of global bio-optical in situ data for ocean-colour satellite applications–version two
A Valente, S Sathyendranath, V Brotas, S Groom, M Grant, M Taberner, ...
Earth System Science Data 11 (3), 1037-1068, 2019
Zahteve: US National Science Foundation, US National Aeronautics and Space …
Data needs for hyperspectral detection of algal diversity across the globe
H Dierssen, A Bracher, V Brando, H Loisel, K Ruddick
Oceanography 33 (1), 74-79, 2020
Zahteve: Helmholtz Association, Belgian Science Policy Office
A three-step semi analytical algorithm (3SAA) for estimating inherent optical properties over oceanic, coastal, and inland waters from remote sensing reflectance
DSF Jorge, H Loisel, C Jamet, D Dessailly, J Demaria, A Bricaud, ...
Remote Sensing of Environment 263, 112537, 2021
Zahteve: US National Aeronautics and Space Administration, Natural Sciences and …
A compilation of global bio-optical in situ data for ocean-colour satellite applications–version three
A Valente, S Sathyendranath, V Brotas, S Groom, M Grant, T Jackson, ...
Earth System Science Data Discussions 2022, 1-61, 2022
Zahteve: US National Aeronautics and Space Administration, US National Oceanic and …
Band ratios combination for estimating chlorophyll-a from sentinel-2 and sentinel-3 in coastal waters
MD Tran, V Vantrepotte, H Loisel, EN Oliveira, KT Tran, D Jorge, ...
Remote Sensing 15 (6), 1653, 2023
Zahteve: Fundação de Amparo à Pesquisa do Estado de São Paulo, Agence Nationale de la …
Characterising retrieval uncertainty of chlorophyll-a algorithms in oligotrophic and mesotrophic lakes and reservoirs
M Werther, D Odermatt, SGH Simis, D Gurlin, DSF Jorge, H Loisel, ...
ISPRS Journal of Photogrammetry and Remote Sensing 190, 279-300, 2022
Zahteve: European Commission
Deriving particulate organic carbon in coastal waters from remote sensing: Inter-comparison exercise and development of a maximum band-ratio approach
TK Tran, L Duforêt-Gaurier, V Vantrepotte, DSF Jorge, X Mériaux, ...
Remote Sensing 11 (23), 2849, 2019
Zahteve: Agence Nationale de la Recherche
Evaluation of the MODIS-Aqua Sea-Surface Temperature product in the inner and mid-shelves of southwest Buenos Aires Province, Argentina
AL Delgado, C Jamet, H Loisel, V Vantrepotte, GME Perillo, MC Piccolo
International Journal of Remote Sensing 35 (1), 306-320, 2014
Zahteve: Government of Argentina
Biological production in two contrasted regions of the Mediterranean Sea during the oligotrophic period: An estimate based on the diel cycle of optical properties measured by …
M Barbieux, J Uitz, A Mignot, C Roesler, H Claustre, B Gentili, ...
Biogeosciences Discussions 2021, 1-74, 2021
Zahteve: European Commission, Agence Nationale de la Recherche
Ocean color algorithm for the retrieval of the particle size distribution and carbon-based phytoplankton size classes using a two-component coated-sphere backscattering model
TS Kostadinov, L Robertson Lain, CE Kong, X Zhang, S Maritorena, ...
Ocean Science 19 (3), 703-727, 2023
Zahteve: US National Aeronautics and Space Administration
Linking satellites to genes with machine learning to estimate phytoplankton community structure from space
R El Hourany, J Pierella Karlusich, L Zinger, H Loisel, M Levy, C Bowler
Ocean Science 20 (1), 217-239, 2024
Zahteve: European Commission, Agence Nationale de la Recherche
Podatke o objavi in financiranju samodejno določi računalniški program