... Chapter 13 Water Quality 287 13.1 Introduction 287 13.2 Basis for using Remote Sensing 288 13... more ... Chapter 13 Water Quality 287 13.1 Introduction 287 13.2 Basis for using Remote Sensing 288 13.3 ... and Future Needs in Hydrology 456 Appendix 20.1 Existing and Future Remote Sensing Satellites and ... are used to select various types of image processing and GIS analysis in ...
ABSTRACT Remote sensing of water quality is initiated as an additional part of the on going activ... more ABSTRACT Remote sensing of water quality is initiated as an additional part of the on going activities of the EAGLE2006 project. Within this context intensive in-situ and airborne measurements campaigns were carried out over the Wolderwijd and Veluwemeer natural waters. However, in-situ measurements and image acquisitions were not simultaneous. This poses some constraints on validating air/space-borne remote sensing products of water quality. Nevertheless, the detailed insitu measurements and hydro-optical model simulations provide a bench mark for validating remote sensing products. That is realized through developing a stochastic technique to quantify the uncertainties on the retrieved aquatic inherent optical properties (IOP). The output of the proposed technique is applied to validate remote sensing products of water quality. In this processing phase, simulations of the radiative transfer in the coupled atmosphere-water system are performed to generate spectra at-sensor-level. The upper and the lower boundaries of perturbations, around each recorded spectrum, are then modelled as function of residuals between simulated and measured spectra. The perturbations are parameterized as a function of model approximations/inversion, sensor-noise and atmospheric residual signal. All error sources are treated as being of stochastic nature. Three scenarios are considered: spectrally correlated (i.e. wavelength dependent) perturbations, spectrally uncorrelated perturbations and a mixed scenario of the previous two with equal probability of occurrence. Uncertainties on the retrieved IOP are quantified with the relative contribution of each perturbation component to the total error budget of the IOP. This technique can be used to validate earth observation products of water quality in remote areas where few or no in– situ measurements are available.
... The authors would like to thank The European Space Agency (ESA) for supporting this research ... more ... The authors would like to thank The European Space Agency (ESA) for supporting this research and supplying MERIS data, The Instituto Nacional de Técnica Aeroespacial (INTA) for providing high ... [11] Z. Lee, K. Carder, C. Mobley, R. Steward, and J. Patch, "Hyperspectral ...
This paper involves easy accessible integrated web-based analysis of satellite images with a plug... more This paper involves easy accessible integrated web-based analysis of satellite images with a plug-in based open source software. The paper is targeted to both users and developers of geospatial software. Guided by a use case scenario, we describe the ILWIS software and its toolbox to access satellite images through the GEONETCast broadcasting system. The last two decades have shown a
This study presents the application of a semi-empirical approach, based on the Kubelka–Munk (K-M)... more This study presents the application of a semi-empirical approach, based on the Kubelka–Munk (K-M) model, to retrieve the total suspended matter (TSM) concentration of water bodies from ocean colour remote sensing. This approach is validated with in situ data sets compiled from the tropical waters of Berau estuary, Indonesia. Compared to a purely empirical approach, the K-M model provides better
... Chapter 13 Water Quality 287 13.1 Introduction 287 13.2 Basis for using Remote Sensing 288 13... more ... Chapter 13 Water Quality 287 13.1 Introduction 287 13.2 Basis for using Remote Sensing 288 13.3 ... and Future Needs in Hydrology 456 Appendix 20.1 Existing and Future Remote Sensing Satellites and ... are used to select various types of image processing and GIS analysis in ...
ABSTRACT Remote sensing of water quality is initiated as an additional part of the on going activ... more ABSTRACT Remote sensing of water quality is initiated as an additional part of the on going activities of the EAGLE2006 project. Within this context intensive in-situ and airborne measurements campaigns were carried out over the Wolderwijd and Veluwemeer natural waters. However, in-situ measurements and image acquisitions were not simultaneous. This poses some constraints on validating air/space-borne remote sensing products of water quality. Nevertheless, the detailed insitu measurements and hydro-optical model simulations provide a bench mark for validating remote sensing products. That is realized through developing a stochastic technique to quantify the uncertainties on the retrieved aquatic inherent optical properties (IOP). The output of the proposed technique is applied to validate remote sensing products of water quality. In this processing phase, simulations of the radiative transfer in the coupled atmosphere-water system are performed to generate spectra at-sensor-level. The upper and the lower boundaries of perturbations, around each recorded spectrum, are then modelled as function of residuals between simulated and measured spectra. The perturbations are parameterized as a function of model approximations/inversion, sensor-noise and atmospheric residual signal. All error sources are treated as being of stochastic nature. Three scenarios are considered: spectrally correlated (i.e. wavelength dependent) perturbations, spectrally uncorrelated perturbations and a mixed scenario of the previous two with equal probability of occurrence. Uncertainties on the retrieved IOP are quantified with the relative contribution of each perturbation component to the total error budget of the IOP. This technique can be used to validate earth observation products of water quality in remote areas where few or no in– situ measurements are available.
... The authors would like to thank The European Space Agency (ESA) for supporting this research ... more ... The authors would like to thank The European Space Agency (ESA) for supporting this research and supplying MERIS data, The Instituto Nacional de Técnica Aeroespacial (INTA) for providing high ... [11] Z. Lee, K. Carder, C. Mobley, R. Steward, and J. Patch, "Hyperspectral ...
This paper involves easy accessible integrated web-based analysis of satellite images with a plug... more This paper involves easy accessible integrated web-based analysis of satellite images with a plug-in based open source software. The paper is targeted to both users and developers of geospatial software. Guided by a use case scenario, we describe the ILWIS software and its toolbox to access satellite images through the GEONETCast broadcasting system. The last two decades have shown a
This study presents the application of a semi-empirical approach, based on the Kubelka–Munk (K-M)... more This study presents the application of a semi-empirical approach, based on the Kubelka–Munk (K-M) model, to retrieve the total suspended matter (TSM) concentration of water bodies from ocean colour remote sensing. This approach is validated with in situ data sets compiled from the tropical waters of Berau estuary, Indonesia. Compared to a purely empirical approach, the K-M model provides better
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