Articles | Volume 13, issue 7
https://doi.org/10.5194/hess-13-1113-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-13-1113-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
13 Jul 2009
Deriving inherent optical properties and associated inversion-uncertainties in the Dutch Lakes
M. S. Salama
International Institute for Geo-Information Science and Earth Observation, Enschede, The Netherlands
A. Dekker
Commonwealth Scientific and Industrial Research Organisation, Australia
Z. Su
International Institute for Geo-Information Science and Earth Observation, Enschede, The Netherlands
C. M. Mannaerts
International Institute for Geo-Information Science and Earth Observation, Enschede, The Netherlands
W. Verhoef
International Institute for Geo-Information Science and Earth Observation, Enschede, The Netherlands
The National Aerospace Laboratory NLR, Emmeloord, The Netherlands
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29 citations as recorded by crossref.
- Estimating specific inherent optical properties of tropical coastal waters using bio-optical model inversion and in situ measurements: case of the Berau estuary, East Kalimantan, Indonesia W. Ambarwulan et al. 10.1007/s10750-010-0473-7
- An overview of approaches and challenges for retrieving marine inherent optical properties from ocean color remote sensing P. Werdell et al. 10.1016/j.pocean.2018.01.001
- Approach for Propagating Radiometric Data Uncertainties Through NASA Ocean Color Algorithms L. McKinna et al. 10.3389/feart.2019.00176
- Performance of the Ocean Color Algorithms: QAA, GSM, and GIOP in Inland and Coastal Waters A. Najah & M. Al-Shehhi 10.1007/s41976-022-00068-3
- Analysis of Cross-Seasonal Spectral Response from Kettle Holes: Application of Remote Sensing Techniques for Chlorophyll Estimation R. Igamberdiev et al. 10.3390/rs4113481
- Medium resolution imaging spectrometer (MERIS) estimation of chlorophyll-a concentration in the turbid sediment-laden waters of the Changjiang (Yangtze) Estuary F. Shen et al. 10.1080/01431161.2010.485216
- Ensemble uncertainty of inherent optical properties M. Salama et al. 10.1364/OE.19.016772
- An assessment of chlorophyll-aconcentration spatio-temporal variation using Landsat satellite data, in a small tropical reservoir T. Dalu et al. 10.1080/10106049.2015.1027292
- Retrieval of Microcystis aentginosa Percentage From High Turbid and Eutrophia Inland Water: A Case Study in Taihu Lake C. Huang et al. 10.1109/TGRS.2011.2129521
- Bayesian Model for Matching the Radiometric Measurements of Aerospace and Field Ocean Color Sensors M. Salama & Z. Su 10.3390/s100807561
- Two-stream remote sensing model for water quality mapping: 2SeaColor M. Salama & W. Verhoef 10.1016/j.rse.2014.07.022
- A Semi-Analytical Model for the Multitemporal Prediction of Chlorophyll-<I>a</I> in an Iowa Lake Using Hyperion Data R. Sugumaran & J. Thomas 10.14358/PERS.78.11.1253
- A Landsat 8 OLI Satellite Data-Based Assessment of Spatio-Temporal Variations of Lake Sevan Phytoplankton Biomass G. Tepanosayn et al. 10.1515/avutgs-2017-0008
- An inversion model for deriving inherent optical properties of inland waters: Establishment, validation and application L. Li et al. 10.1016/j.rse.2013.03.031
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- Uncertainty estimates of remote sensing reflectance derived from comparison of ocean color satellite data sets F. Mélin et al. 10.1016/j.rse.2016.02.014
- Using sUAS for the Development and Validation of Surface Water Quality Models in Optically Deep Mine Waters B. Holzbauer-Schweitzer & R. Nairn 10.1007/s10230-022-00847-w
- Pattern of Turbidity Change in the Middle Reaches of the Yarlung Zangbo River, Southern Tibetan Plateau, from 2007 to 2017 M. Shen et al. 10.3390/rs13020182
- An evaluation of inversion models for retrieval of inherent optical properties from ocean color in coastal and open sea waters around Korea P. Shanmugam et al. 10.1007/s10872-010-0066-0
- A hydro-optical model for deriving water quality variables from satellite images (HydroSat): A case study of the Nile River demonstrating the future Sentinel-2 capabilities M. Salama et al. 10.1016/j.pce.2012.08.013
- Remote Sensing for Monitoring Surface Water Quality Status and Ecosystem State in Relation to the Nutrient Cycle: A 40-Year Perspective N. Chang et al. 10.1080/10643389.2013.829981
- A New Inversion Model to Retrieve the Particulate Backscattering in Coastal/Ocean Waters P. Shanmugam et al. 10.1109/TGRS.2010.2103947
- Integration of in-situ and multi-sensor satellite observations for long-term water quality monitoring in coastal areas B. Arabi et al. 10.1016/j.rse.2020.111632
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- The impact of sea bottom effects on the retrieval of water constituent concentrations from MERIS and OLCI images in shallow tidal waters supported by radiative transfer modeling B. Arabi et al. 10.1016/j.rse.2019.111596
28 citations as recorded by crossref.
- Estimating specific inherent optical properties of tropical coastal waters using bio-optical model inversion and in situ measurements: case of the Berau estuary, East Kalimantan, Indonesia W. Ambarwulan et al. 10.1007/s10750-010-0473-7
- An overview of approaches and challenges for retrieving marine inherent optical properties from ocean color remote sensing P. Werdell et al. 10.1016/j.pocean.2018.01.001
- Approach for Propagating Radiometric Data Uncertainties Through NASA Ocean Color Algorithms L. McKinna et al. 10.3389/feart.2019.00176
- Performance of the Ocean Color Algorithms: QAA, GSM, and GIOP in Inland and Coastal Waters A. Najah & M. Al-Shehhi 10.1007/s41976-022-00068-3
- Analysis of Cross-Seasonal Spectral Response from Kettle Holes: Application of Remote Sensing Techniques for Chlorophyll Estimation R. Igamberdiev et al. 10.3390/rs4113481
- Medium resolution imaging spectrometer (MERIS) estimation of chlorophyll-a concentration in the turbid sediment-laden waters of the Changjiang (Yangtze) Estuary F. Shen et al. 10.1080/01431161.2010.485216
- Ensemble uncertainty of inherent optical properties M. Salama et al. 10.1364/OE.19.016772
- An assessment of chlorophyll-aconcentration spatio-temporal variation using Landsat satellite data, in a small tropical reservoir T. Dalu et al. 10.1080/10106049.2015.1027292
- Retrieval of Microcystis aentginosa Percentage From High Turbid and Eutrophia Inland Water: A Case Study in Taihu Lake C. Huang et al. 10.1109/TGRS.2011.2129521
- Bayesian Model for Matching the Radiometric Measurements of Aerospace and Field Ocean Color Sensors M. Salama & Z. Su 10.3390/s100807561
- Two-stream remote sensing model for water quality mapping: 2SeaColor M. Salama & W. Verhoef 10.1016/j.rse.2014.07.022
- A Semi-Analytical Model for the Multitemporal Prediction of Chlorophyll-<I>a</I> in an Iowa Lake Using Hyperion Data R. Sugumaran & J. Thomas 10.14358/PERS.78.11.1253
- A Landsat 8 OLI Satellite Data-Based Assessment of Spatio-Temporal Variations of Lake Sevan Phytoplankton Biomass G. Tepanosayn et al. 10.1515/avutgs-2017-0008
- An inversion model for deriving inherent optical properties of inland waters: Establishment, validation and application L. Li et al. 10.1016/j.rse.2013.03.031
- Remote-sensing-based algorithms for water quality monitoring in Olushandja Dam, north-central Namibia T. Kapalanga et al. 10.2166/ws.2020.290
- Stochastic inversion of ocean color data using the cross-entropy method M. Salama & F. Shen 10.1364/OE.18.000479
- Uncertainty estimates of remote sensing reflectance derived from comparison of ocean color satellite data sets F. Mélin et al. 10.1016/j.rse.2016.02.014
- Using sUAS for the Development and Validation of Surface Water Quality Models in Optically Deep Mine Waters B. Holzbauer-Schweitzer & R. Nairn 10.1007/s10230-022-00847-w
- Pattern of Turbidity Change in the Middle Reaches of the Yarlung Zangbo River, Southern Tibetan Plateau, from 2007 to 2017 M. Shen et al. 10.3390/rs13020182
- An evaluation of inversion models for retrieval of inherent optical properties from ocean color in coastal and open sea waters around Korea P. Shanmugam et al. 10.1007/s10872-010-0066-0
- A hydro-optical model for deriving water quality variables from satellite images (HydroSat): A case study of the Nile River demonstrating the future Sentinel-2 capabilities M. Salama et al. 10.1016/j.pce.2012.08.013
- Remote Sensing for Monitoring Surface Water Quality Status and Ecosystem State in Relation to the Nutrient Cycle: A 40-Year Perspective N. Chang et al. 10.1080/10643389.2013.829981
- A New Inversion Model to Retrieve the Particulate Backscattering in Coastal/Ocean Waters P. Shanmugam et al. 10.1109/TGRS.2010.2103947
- Integration of in-situ and multi-sensor satellite observations for long-term water quality monitoring in coastal areas B. Arabi et al. 10.1016/j.rse.2020.111632
- Error decomposition and estimation of inherent optical properties M. Salama & A. Stein 10.1364/AO.48.004947
- Resolving the Subscale Spatial Variability of Apparent and Inherent Optical Properties in Ocean Color Match-Up Sites M. Salama & Z. Su 10.1109/TGRS.2011.2104966
- Absorption and backscattering coefficients and their relations to water constituents of Poyang Lake, China G. Wu et al. 10.1364/AO.50.006358
- Deriving optical properties of Mahakam Delta coastal waters, Indonesia using in situ measurements and ocean color model inversion S. Budhiman et al. 10.1016/j.isprsjprs.2012.01.008
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