Hyperspectral remote sensing of shallow waters: Considering environmental noise and bottom intra-class variability for modeling and inversion of water reflectance
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Mireille Guillaume | Yannick Deville | Audrey Minghelli | Malik Chami | Bruno Lafrance | Sylvain Jay | Y. Deville | B. Lafrance | M. Guillaume | S. Jay | M. Chami | Audrey Minghelli | V. Serfaty | Véronique Serfaty
[1] Peter Fearns,et al. Improving the optimization solution for a semi‐analytical shallow water inversion model in the presence of spectrally correlated noise , 2014 .
[2] Eric J. Hochberg,et al. Capabilities of remote sensors to classify coral, algae, and sand as pure and mixed spectra , 2003 .
[3] Robert F. Chen,et al. Properties of the Water Column and Bottom Derived from Airborne Visible Infrared Imaging Spectrometer (AVIRIS) Data , 2001 .
[4] B. Koetz,et al. Capability of the Sentinel 2 mission for tropical coral reef mapping and coral bleaching detection , 2012 .
[5] Stuart R. Phinn,et al. Efficient radiative transfer model inversion for remote sensing applications , 2009 .
[6] Jan G. P. W. Clevers,et al. Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties - A review , 2015 .
[7] Wesley J Moses,et al. Improving the retrieval of water inherent optical properties in noisy hyperspectral data through statistical modeling. , 2013, Optics express.
[8] Trijntje Valerie Downes,et al. Interpretation of hyperspectral remote-sensing imagery by spectrum matching and look-up tables. , 2005, Applied optics.
[9] Wojciech M. Klonowski,et al. Shallow water substrate mapping using hyperspectral remote sensing , 2011 .
[10] Vittorio E. Brando,et al. Increased spectral resolution enhances coral detection under varying water conditions , 2013 .
[11] A. Skidmore,et al. Mapping grassland leaf area index with airborne hyperspectral imagery : a comparison study of statistical approaches and inversion of radiative transfer models , 2011 .
[12] D. Rundquist,et al. Benthic Habitat Mapping in Tropical Marine Environments Using QuickBird Multispectral Data , 2006 .
[13] A. Morel. Optical properties of pure water and pure sea water , 1974 .
[14] F. Maupas,et al. Retrieving LAI, chlorophyll and nitrogen contents in sugar beet crops from multi-angular optical remote sensing: Comparison of vegetation indices and PROSAIL inversion for field phenotyping , 2017 .
[15] Kendall L. Carder,et al. Properties of the Water Column and Bottom Derived from AVIRIS Data , 2001 .
[16] Monica Pepe,et al. BOMBER: A tool for estimating water quality and bottom properties from remote sensing images , 2012, Comput. Geosci..
[17] C. Mobley,et al. Hyperspectral remote sensing for shallow waters. I. A semianalytical model. , 1998, Applied optics.
[18] Serge Andréfouët,et al. Spectral reflectance of coral reef bottom-types worldwide and implications for coral reef remote sensing , 2003 .
[19] S. Ustin,et al. Influence of atmospheric and sea-surface corrections on retrieval of bottom depth and reflectance using a semi-analytical model: a case study in Kaneohe Bay, Hawaii. , 2008, Applied optics.
[20] Lorenzo Bruzzone,et al. Classification of hyperspectral remote sensing images with support vector machines , 2004, IEEE Transactions on Geoscience and Remote Sensing.
[21] Serge Andréfouët,et al. Spectral reflectance of coral , 2004, Coral Reefs.
[22] Zhongping Lee,et al. Effect of spectral band numbers on the retrieval of water column and bottom properties from ocean color data. , 2002, Applied optics.
[23] Tiit Kutser,et al. Modeling spectral discrimination of Great Barrier Reef benthic communities by remote sensing instruments , 2003 .
[24] Peter Fearns,et al. Detecting trend and seasonal changes in bathymetry derived from HICO imagery: A case study of Shark Bay, Western Australia , 2014 .
[25] Farid Melgani,et al. Classification of Hyperspectral Remote Sensing Images Using Gaussian Processes , 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.
[26] John D. Hedley,et al. Technical note: Simple and robust removal of sun glint for mapping shallow‐water benthos , 2005 .
[27] Stuart R. Phinn,et al. Environmental and Sensor Limitations in Optical Remote Sensing of Coral Reefs: Implications for Monitoring and Sensor Design , 2012, Remote. Sens..
[28] Matthias Drusch,et al. Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services , 2012 .
[29] Wojciech M. Klonowski,et al. Intercomparison of shallow water bathymetry, hydro‐optics, and benthos mapping techniques in Australian and Caribbean coastal environments , 2011 .
[30] Arnold G. Dekker,et al. A methodology for retrieval of environmental noise equivalent spectra applied to four Hyperion scenes of the same tropical coral reef , 2004 .
[31] R. Toumi,et al. Influence of atmospheric and sea surface temperature on the size of hurricane Catarina , 2014 .
[32] C. Willmott,et al. Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance , 2005 .
[33] C. Mobley. Light and Water: Radiative Transfer in Natural Waters , 1994 .
[34] Mireille Guillaume,et al. Estimationofwater column parameters with a maximum likelihood approach , 2011, 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).
[35] M. Guillaume,et al. A Novel Maximum Likelihood Based Method for Mapping Depth and Water Quality from Hyperspectral Remote-sensing Data , 2014 .
[36] Chris Roelfsema,et al. A physics based retrieval and quality assessment of bathymetry from suboptimal hyperspectral data , 2009 .
[37] Mireille Guillaume,et al. Underwater Target Detection With Hyperspectral Data: Solutions for Both Known and Unknown Water Quality , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[38] James A. Goodman,et al. Classification of benthic composition in a coral reef environment using spectral unmixing , 2007 .
[39] Patrick Hostert,et al. The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation , 2015, Remote. Sens..
[40] Josef Aschbacher,et al. The European Earth monitoring (GMES) programme: Status and perspectives , 2012 .
[41] Hendrik Buiteveld,et al. Optical properties of pure water , 1994, Other Conferences.
[42] Peter Gege,et al. Inversion of irradiance and remote sensing reflectance in shallow water between 400 and 800 nm for calculations of water and bottom properties. , 2006, Applied optics.
[43] Johannes R. Sveinsson,et al. Classification of hyperspectral data from urban areas using morphological preprocessing and independent component analysis , 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..
[44] C. Mobley,et al. An analytical model for subsurface irradiance and remote sensing reflectance in deep and shallow case-2 waters. , 2003, Optics express.
[45] S. Andréfouët,et al. Choosing the appropriate spatial resolution for monitoring coral bleaching events using remote sensing , 2002, Coral Reefs.
[46] C. Mobley,et al. Hyperspectral remote sensing for shallow waters. 2. Deriving bottom depths and water properties by optimization. , 1999, Applied optics.
[47] Robert Arnone,et al. Combined Effect of Reduced Band Number and Increased Bandwidth on Shallow Water Remote Sensing: The Case of WorldView 2 , 2013, IEEE Transactions on Geoscience and Remote Sensing.
[48] C. Delacourt,et al. Hyperspectral remote sensing of coral reefs by semi-analytical model inversion - Comparison of different inversion setups , 2017 .
[49] Rob J Hyndman,et al. Detecting trend and seasonal changes in satellite image time series , 2010 .
[50] Eurico J. D'Sa,et al. Seasonal Variation of Colored Dissolved Organic Matter in Barataria Bay, Louisiana, Using Combined Landsat and Field Data , 2015, Remote. Sens..
[51] John D. Hedley,et al. A Method to Analyze the Potential of Optical Remote Sensing for Benthic Habitat Mapping , 2015, Remote. Sens..
[52] Gary A. Shaw,et al. Hyperspectral Image Processing for Automatic Target Detection Applications , 2003 .
[53] Mireille Guillaume,et al. Underwater target detection with hyperspectral remote-sensing imagery , 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.
[54] Wojciech M. Klonowski,et al. Retrieving key benthic cover types and bathymetry from hyperspectral imagery , 2007 .
[55] Vittorio E. Brando,et al. Satellite hyperspectral remote sensing for estimating estuarine and coastal water quality , 2003, IEEE Trans. Geosci. Remote. Sens..
[56] Anders Knudby,et al. The Potential for Landsat-Based Bathymetry in Canada , 2016 .
[57] M. Guillaume,et al. Regularized estimation of bathymetry and water quality using hyperspectral remote sensing , 2016 .
[58] Bo-Cai Gao,et al. Portable Remote Imaging Spectrometer coastal ocean sensor: design, characteristics, and first flight results. , 2014, Applied optics.
[59] André Morel,et al. Diffuse reflectance of oceanic shallow waters: influence of water depth and bottom albedo , 1994 .
[60] Scarla J. Weeks,et al. A semianalytical ocean color inversion algorithm with explicit water column depth and substrate reflectance parameterization , 2015 .