Towards Routine Mapping of Shallow Bathymetry in Environments with Variable Turbidity: Contribution of Sentinel-2A/B Satellites Mission
暂无分享,去创建一个
[1] The Challenges of River Bathymetry Survey Using Space Borne Remote Sensing in Bangladesh , 2017 .
[2] Diofantos G. Hadjimitsis,et al. Bathymetric maps from multi-temporal analysis of Sentinel-2 data: the case study of Limassol, Cyprus , 2019, Advances in Geosciences.
[3] Masahiko Sekine,et al. Which Spectral Bands of WorldView-2 Are Useful in Remote Sensing of Water Depth? A Case Study in Coral Reefs , 2014 .
[4] Chris Roelfsema,et al. Coral reef applications of Sentinel-2: Coverage, characteristics, bathymetry and benthic mapping with comparison to Landsat 8 , 2018, Remote Sensing of Environment.
[5] Richard A. Davis,et al. Beaches and Coasts , 2019 .
[6] Peter Reinartz,et al. Estimating Satellite-Derived Bathymetry (SDB) with the Google Earth Engine and Sentinel-2 , 2018, Remote. Sens..
[7] K. Ruddick,et al. Turbid wakes associated with offshore wind turbines observed with Landsat 8 , 2014 .
[8] Richard P. Stumpf,et al. Preliminary Assessment of Turbidity and Chlorophyll Impact on Bathymetry Derived from Sentinel-2A and Sentinel-3A Satellites in South Florida , 2019, Remote. Sens..
[9] Tiit Kutser,et al. First Experiences in Mapping Lake Water Quality Parameters with Sentinel-2 MSI Imagery , 2016, Remote. Sens..
[10] J. Gower,et al. Detection of intense plankton blooms using the 709 nm band of the MERIS imaging spectrometer , 2005 .
[11] Keivan Kabiri,et al. Accuracy assessment of near-shore bathymetry information retrieved from Landsat-8 imagery , 2017, Earth Science Informatics.
[12] R. Stumpf,et al. Determination of water depth with high‐resolution satellite imagery over variable bottom types , 2003 .
[13] Carlos Loureiro,et al. Retrieval of nearshore bathymetry from Landsat 8 images: A tool for coastal monitoring in shallow waters , 2015 .
[14] J. M. Kerr,et al. An algorithm for optically-deriving water depth from multispectral imagery in coral reef landscapes in the absence of ground-truth data , 2018, Remote Sensing of Environment.
[15] Heidi M. Dierssen,et al. Evaluating Light Availability, Seagrass Biomass, and Productivity Using Hyperspectral Airborne Remote Sensing in Saint Joseph’s Bay, Florida , 2014, Estuaries and Coasts.
[16] Paul Harris,et al. Assessment of empirical algorithms for bathymetry extraction using Sentinel-2 data , 2018, International Journal of Remote Sensing.
[17] Durairaju Kumaran Raju,et al. Multispectral derivation of bathymetry in Singapore's shallow, turbid waters , 2013 .
[18] S. Ross,et al. Cold-water coral growth under extreme environmental conditions, the Cape Lookout area, NW Atlantic , 2013 .
[19] Anatoly A. Gitelson,et al. The peak near 700 nm on radiance spectra of algae and water: relationships of its magnitude and position with chlorophyll concentration , 1992 .
[20] F. Douvere,et al. Marine Spatial Planning: a step-by-step approach toward ecosystem-based management. Intergovernmental Oceanographic Commission and Man and the Biosphere Programme. , 2009 .
[21] I. Caballero,et al. Retrieval of nearshore bathymetry from Sentinel-2A and 2B satellites in South Florida coastal waters , 2019, Estuarine, Coastal and Shelf Science.
[22] Peter Reinartz,et al. On the use of Sentinel-2 for coastal habitat mapping and satellite-derived bathymetry estimation using downscaled coastal aerosol band , 2019, Int. J. Appl. Earth Obs. Geoinformation.
[23] Sarah M. Hamylton,et al. Derivation of High-Resolution Bathymetry from Multispectral Satellite Imagery: A Comparison of Empirical and Optimisation Methods through Geographical Error Analysis , 2015, Remote. Sens..
[24] Bryan A. Franz,et al. Sentinel-2 MultiSpectral Instrument (MSI) data processing for aquatic science applications: Demonstrations and validations , 2017 .
[25] Audrey Minghelli-Roman,et al. Influence of Water Column Chlorophyll Concentration on Bathymetric Estimations in the Lagoon of New Caledonia, Using Several MERIS Images , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[26] Bruce G. Terrell,et al. National Oceanic and Atmospheric Administration , 2020, Federal Regulatory Guide.
[27] Javier Marcello,et al. High-Resolution Maps of Bathymetry and Benthic Habitats in Shallow-Water Environments Using Multispectral Remote Sensing Imagery , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[28] J. Gower,et al. Distribution of floating Sargassum in the Gulf of Mexico and the Atlantic Ocean mapped using MERIS , 2011 .
[29] David E. Knapp,et al. Object-Based Mapping of Coral Reef Habitats Using Planet Dove Satellites , 2019, Remote. Sens..
[30] Wojciech M. Klonowski,et al. Intercomparison of shallow water bathymetry, hydro‐optics, and benthos mapping techniques in Australian and Caribbean coastal environments , 2011 .
[31] K. Ruddick,et al. Advantages of high quality SWIR bands for ocean colour processing: Examples from Landsat-8 , 2015 .
[32] C. Woodroffe,et al. Development of a seamless, high-resolution bathymetric model to compare reef morphology around the subtropical island shelves of Lord Howe Island and Balls Pyramid, southwest Pacific Ocean , 2018 .
[33] C. Devey,et al. Seafloor Mapping – The Challenge of a Truly Global Ocean Bathymetry , 2019, Front. Mar. Sci..
[34] Un Desa. Transforming our world : The 2030 Agenda for Sustainable Development , 2016 .
[35] P. Vogt,et al. A Proposed International Long-term Project to Systematically Map the World's Ocean Floors from Beach to Trench: GOMaP (Global Ocean Mapping Program) , 2001 .
[36] A. Maloof,et al. A Simple Method for Extracting Water Depth From Multispectral Satellite Imagery in Regions of Variable Bottom Type , 2019, Earth and Space Science.
[37] K. Moffett,et al. Remote Sens , 2015 .
[38] Jay Gao. Bathymetric mapping by means of remote sensing : methods , accuracy and limitations , 2009 .
[39] Tatsuyuki Sagawa,et al. Satellite Derived Bathymetry Using Machine Learning and Multi-Temporal Satellite Images , 2019, Remote. Sens..
[40] J. Wells. Accumulation of Fine-Grained Sediments in a Periodically Energetic Clastic Environment, Cape Lookout Bight, North Carolina , 1988 .
[41] Pierre Gouton,et al. Comparison of bathymetric estimation using different satellite images in coastal sea waters , 2009 .
[42] Shachak Pe'eri,et al. Identifying Bathymetric Differences over Alaska's North Slope using a Satellite-derived Bathymetry Multi-temporal Approach , 2016, Journal of Coastal Research.
[43] Peter Reinartz,et al. Cubesats Allow High Spatiotemporal Estimates of Satellite-Derived Bathymetry , 2019, Remote. Sens..
[44] Nitin K. Tripathi,et al. Bathymetric mapping in Kakinada Bay, India, using IRS-1D LISS-III data , 2002 .
[45] Kevin Ruddick,et al. Acolite for Sentinel-2: Aquatic Applications of MSI Imagery , 2016 .
[46] Xiao Zhou,et al. Technical Framework for Shallow-Water Bathymetry With High Reliability and No Missing Data Based on Time-Series Sentinel-2 Images , 2019, IEEE Transactions on Geoscience and Remote Sensing.
[47] L. Cohen,et al. The 2030 agenda for sustainable development: a golden opportunity for global violence prevention , 2016, International Journal of Public Health.
[48] Eurico J. D'Sa,et al. Turbidity in Apalachicola Bay, Florida from Landsat 5 TM and Field Data: Seasonal Patterns and Response to Extreme Events , 2017, Remote. Sens..
[49] Richard W. Gould,et al. Bottom Characterization from Hyperspectral Image Data , 2004 .