David Doxaran
Orcid: 0000-0002-9778-7780
According to our database1,
David Doxaran
authored at least 12 papers
between 2015 and 2022.
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Bibliography
2022
Ocean Color Remote Sensing of Suspended Sediments along a Continuum from Rivers to River Plumes: Concentration, Transport, Fluxes and Dynamics.
Remote. Sens., 2022
2020
An Algorithm to Estimate Suspended Particulate Matter Concentrations and Associated Uncertainties from Remote Sensing Reflectance in Coastal Environments.
Remote. Sens., 2020
Evaluation of Atmospheric Correction Algorithms for Sentinel-2-MSI and Sentinel-3-OLCI in Highly Turbid Estuarine Waters.
Remote. Sens., 2020
Retrieval and Validation of Water Turbidity at Metre-Scale Using Pléiades Satellite Data: A Case Study in the Gironde Estuary.
Remote. Sens., 2020
2019
Long-Term High-Resolution Sediment and Sea Surface Temperature Spatial Patterns in Arctic Nearshore Waters Retrieved Using 30-Year Landsat Archive Imagery.
Remote. Sens., 2019
Editorial for the Special Issue "Remote Sensing in Coastal Zone Monitoring and Management - How Can Remote Sensing Challenge the Broad Spectrum of Temporal and Spatial Scales in Coastal Zone Dynamic?".
Remote. Sens., 2019
2018
Bio-Optical Characterization and Ocean Colour Inversion in the Eastern Lagoon of New Caledonia, South Tropical Pacific.
Remote. Sens., 2018
Assessing the Potential Benefits of the Geostationary Vantage Point for Generating Daily Chlorophyll-a Maps in the Baltic Sea.
Remote. Sens., 2018
2017
Atmospheric Corrections and Multi-Conditional Algorithm for Multi-Sensor Remote Sensing of Suspended Particulate Matter in Low-to-High Turbidity Levels Coastal Waters.
Remote. Sens., 2017
2016
On the Potential of Robust Satellite Techniques Approach for SPM Monitoring in Coastal Waters: Implementation and Application over the Basilicata Ionian Coastal Waters Using MODIS-Aqua.
Remote. Sens., 2016
Potential of High Spatial and Temporal Ocean Color Satellite Data to Study the Dynamics of Suspended Particles in a Micro-Tidal River Plume.
Remote. Sens., 2016
2015
Characterization of Time-Varying Regimes in Remote Sensing Time Series: Application to the Forecasting of Satellite-Derived Suspended Matter Concentrations.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015