Deriving colored dissolved organic matter absorption coefficient from ocean color with a neural quasi‐analytical algorithm
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- Type
- article
- Published
- 2017-11-01
- Cited by
- 18
- References
- 39
- OpenAlex
- https://openalex.org/W2743547914
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:135260274
Keywords
SeaWiFS, Ocean color, Colored dissolved organic matter, Algorithm, Satellite
References
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- A neural network‐based four‐band model for estimating the total absorption coefficients from the global oceanic and coastal waters
- Analysis of variations in ocean color1
- A model for remote estimation of ultraviolet absorption by chromophoric dissolved organic matter based on the global distribution of spectral slope
- Phytoplankton Pigments from the Nimbus-7 Coastal Zone Color Scanner: Comparisons with Surface Measurements
- Deriving inherent optical properties from water color: a multiband quasi-analytical algorithm for optically deep waters.
- Spectral Geometric Triangle Properties of Chlorophyll-A Inversion in Taihu Lake Based on TM Data
- Uncertainties of SeaWiFS and MODIS remote sensing reflectance: Implications from clear water measurements
- Compositional differences of chromophoric dissolved organic matter derived from phytoplankton and macrophytes
- A simple band ratio technique to quantify the colored dissolved and detrital organic material from ocean color remotely sensed data
- New models for retrieving and partitioning the colored dissolved organic matter in the global ocean: Implications for remote sensing
- An optical model for the remote sensing of coloured dissolved organic matter in coastal/ocean waters
- A semi-analytical algorithm for remote estimation of phycocyanin in inland waters.
- Chlorophyll aalgorithms for oligotrophic oceans: A novel approach based on three‐band reflectance difference
- Remote sensing reflectance of Pomeranian lakes and the Baltic
- Estimation of chromophoric dissolved organic matter in the Mississippi and Atchafalaya river plume regions using above‐surface hyperspectral remote sensing
- Evaluation of MODIS SWIR and NIR-SWIR atmospheric correction algorithms using SeaBASS data
- Remote sensing of absorption and scattering coefficient using neural network model: Development, validation, and application
Cited by
- Ocean Wave Information Retrieval Using Simulated Compact Polarized SAR from Radarsat-2
- Estimating CDOM Concentration in Highly Turbid Estuarine Coastal Waters
- Remote sensing of cyanobacterial blooms in inland waters: present knowledge and future challenges.
- Human activities determine quantity and composition of dissolved organic matter in lakes along the Yangtze River.
- A Remote-Sensing Method to Estimate Bulk Refractive Index of Suspended Particles from GOCI Satellite Measurements over Bohai Sea and Yellow Sea
- Atmospheric correction of geostationary satellite ocean color data under high solar zenith angles in open oceans
- Remotely observed variations of reservoir low concentration chromophoric dissolved organic matter and its response to upstream hydrological and meteorological conditions using Sentinel-2 imagery and Gradient Boosting Regression Tree
- Colored dissolved organic matter absorption at global scale from ocean color radiometry observation: Spatio-temporal variability and contribution to the absorption budget
- Using machine learning algorithms with in-situ hyperspectral reflectance data to assess comprehensive water quality of urban rivers
- The nearshore water quality assessment of Oil Spill and CDOM using Landsat 8 and Sentinel 1 A SAR data: A case study in Jaki Mirya, Konkan Coast of Maharashtra, India
- Inherent Optical Properties based Vulnerability Assessment of Euphotic Zone Compression in peatland influenced Southeast Asian coastal waters
- The Inversion of HY-1C-COCTS Ocean Color Remote Sensing Products from High-Latitude Seas
- Estimating the model parameters for remote sensing reflectance pixel by pixel: a neural network approach for optically deep waters
- An Extended Quasi−Analytical Algorithm for Retrieving Absorption Coefficient Using 510–620 nm Bands from OLCI and MERIS Satellite Data
- Improvement of the Semi-Analytical Algorithm Integrating Ultraviolet Band and Deep Learning for Inverting the Absorption Coefficient of Chromophoric Dissolved Organic Matter in the Ocean
- Fusion Learning-Driven High-Resolution Chromophoric Dissolved Organic Matter Estimation Using Remote Sensing Data: A Case Study in China
- Marine Optics and Ocean Color Remote Sensing
- Absorption and Spatial Characteristics of Colored Dissolved Organic Matter in the Northern Bay of Bengal in Summer
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