Skip to main content

2017 | OriginalPaper | Buchkapitel

6. Inverse Modeling and Validation

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The ‘inverse’ model solves the IOPs (or concentrations of optically active water constituents) from reflectance measured at the top of the atmosphere by remote sensors or from in situ measurements of reflectance. Inversion approaches for the retrieval of water-quality parameters from remotely sensed data are typically divided into two categories—empirical and model based (IOCCG 2002). Empirical methods derive a relationship between optical measurements and constituent concentrations based on observations from experimental data sets. Model-based techniques exploit bio-optical models that capture the connection between water constituent and spectra of water-leaving radiance/reflectance and a radiative transfer model that describes light propagation through the water and the atmosphere. Model-based solutions have the ability to retrieve simultaneously various optical and biogeophysical parameters from the remote-sensing reflectance. Their theoretical basis on sound solutions to the radiative transfer equation makes them potentially a more expedient approach (Matthews 2011).

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
Zurück zum Zitat Bagheri S, Dekker A. Optical Measurements of Nearshore Water Quality Conditions. In: International Conference on Coastal and Ocean Space Utilization, 11/4/2000. Cancun, Mexico (Invited Paper) Bagheri S, Dekker A. Optical Measurements of Nearshore Water Quality Conditions. In: International Conference on Coastal and Ocean Space Utilization, 11/4/2000. Cancun, Mexico (Invited Paper)
Zurück zum Zitat Bagheri S, Rijkeboer M, Pasterkamp R, Dekker AG (2000) Comparison of the field spectroradiometers in preparation for optical modeling. 9th Aviris Workshop, JPL, Pasadena CA, 2/23-2/27/2000 Bagheri S, Rijkeboer M, Pasterkamp R, Dekker AG (2000) Comparison of the field spectroradiometers in preparation for optical modeling. 9th Aviris Workshop, JPL, Pasadena CA, 2/23-2/27/2000
Zurück zum Zitat Bagheri S, Stamnes K, Li W (2001) Application of radiative transfer theory to atmospheric correction of AVIRIS data. In: Proceedings of the 10th JPL AVIRS Workshop, Pasadena, CA, pp 35–40 Bagheri S, Stamnes K, Li W (2001) Application of radiative transfer theory to atmospheric correction of AVIRIS data. In: Proceedings of the 10th JPL AVIRS Workshop, Pasadena, CA, pp 35–40
Zurück zum Zitat Bagheri S (2011) Nearshore water quality estimation using atmospherically correcected AVIRIS data. Remote Sens 3:257–269. doi:10.3390/rs3020257 Bagheri S (2011) Nearshore water quality estimation using atmospherically correcected AVIRIS data. Remote Sens 3:257–269. doi:10.​3390/​rs3020257
Zurück zum Zitat Bagheri S, Peters S, Yu T (2005) Retrieval of marine water constituents from AVIRIS data in the Hudson/Raritan Estuary. Int J Remote Sens 26(18):4013–4027CrossRef Bagheri S, Peters S, Yu T (2005) Retrieval of marine water constituents from AVIRIS data in the Hudson/Raritan Estuary. Int J Remote Sens 26(18):4013–4027CrossRef
Zurück zum Zitat Blank L (1980) Statistical procedures for engineering, management, and science. McGraw-Hill, Inc., New York, p 749 Blank L (1980) Statistical procedures for engineering, management, and science. McGraw-Hill, Inc., New York, p 749
Zurück zum Zitat Buiteveld H (1990) A model for calculating secchi depth and extinction (in Dutch), Report 90.058. Rijkswarestaat. GIZA 23 Buiteveld H (1990) A model for calculating secchi depth and extinction (in Dutch), Report 90.058. Rijkswarestaat. GIZA 23
Zurück zum Zitat Gilerson A, Gitelson A-A, Zhou J, et al (2010). Algorithms for remote estimation of chlorophyll-a in coastal and inland waters using red and near infrared bands. Opt Express 18: 24109–24125. Gilerson A, Gitelson A-A, Zhou J, et al (2010). Algorithms for remote estimation of chlorophyll-a in coastal and inland waters using red and near infrared bands. Opt Express 18: 24109–24125.
Zurück zum Zitat Gitelson A-A, Gurlin D, Moses W, Yacobi Y (2011) Remote estimation of chlorophyll-a concentration in inland, estuarine, and coastal waters. In: Weng Q (ed) Advances in environmental remote sensing: sensors, models, and applications. CRC Press, Taylor and Francis Group, Boca Raton, pp 449–478 Gitelson A-A, Gurlin D, Moses W, Yacobi Y (2011) Remote estimation of chlorophyll-a concentration in inland, estuarine, and coastal waters. In: Weng Q (ed) Advances in environmental remote sensing: sensors, models, and applications. CRC Press, Taylor and Francis Group, Boca Raton, pp 449–478
Zurück zum Zitat Gons HJ, Burger-Wiersma T, Outten JH, Rijkeboer M (1992) Coupling of phytoplankton and detritus in a shallow atrophic lake (Lake Loosdrecht, The Netherlands), hydrobiology 23: 51–59 Gons HJ, Burger-Wiersma T, Outten JH, Rijkeboer M (1992) Coupling of phytoplankton and detritus in a shallow atrophic lake (Lake Loosdrecht, The Netherlands), hydrobiology 23: 51–59
Zurück zum Zitat Gordon HR, Brown OB, Evans RH, Brown JW, Smith RC, Baker KS, Clark DK (1988) A semianalytic radiance model of ocean color. J Geophys Res 93:10909–10924CrossRef Gordon HR, Brown OB, Evans RH, Brown JW, Smith RC, Baker KS, Clark DK (1988) A semianalytic radiance model of ocean color. J Geophys Res 93:10909–10924CrossRef
Zurück zum Zitat Gurlin D, Gitelson AA, Moses WJ (2011) Remote estimation of chl-a concentration in turbid productive waters—return to a simple two-band NIR-red model. Remote Sens Environ 115:3479–3490CrossRef Gurlin D, Gitelson AA, Moses WJ (2011) Remote estimation of chl-a concentration in turbid productive waters—return to a simple two-band NIR-red model. Remote Sens Environ 115:3479–3490CrossRef
Zurück zum Zitat Hakvoort JHM, De Haan H, Jordan RWL, Vos RJ, Peters SWM, Rijkeboer M (2000) Towards airborne remote sensing of water quality in the Netherlands: validation and error analysis. Second EASEL workshop on Imaging Spectroscopy Hakvoort JHM, De Haan H, Jordan RWL, Vos RJ, Peters SWM, Rijkeboer M (2000) Towards airborne remote sensing of water quality in the Netherlands: validation and error analysis. Second EASEL workshop on Imaging Spectroscopy
Zurück zum Zitat Hoge FE, Lyon PE (1996) Satellite retrieval of inherent optical properties by linear matrix inversion of oceanic radiance models: an analysis of model and radiance measurement errors. J Geophys Res 101:16631–16648 Hoge FE, Lyon PE (1996) Satellite retrieval of inherent optical properties by linear matrix inversion of oceanic radiance models: an analysis of model and radiance measurement errors. J Geophys Res 101:16631–16648
Zurück zum Zitat Hoogenboom HJ, Dekker AG, de Haan JF (1998) Retrieval of chlorophyll and suspended matter from imaging spectrometry data by matrix inversion. Can J Remote Sens 24(2):144–152 Hoogenboom HJ, Dekker AG, de Haan JF (1998) Retrieval of chlorophyll and suspended matter from imaging spectrometry data by matrix inversion. Can J Remote Sens 24(2):144–152
Zurück zum Zitat IOCCG (2002) Remote sensing of ocean colour in coastal, and other optically-complex, waters IOCCG (2002) Remote sensing of ocean colour in coastal, and other optically-complex, waters
Zurück zum Zitat Matthews MW (2011) A current review of empirical procedures of remote sensing in inland and near-coastal transitional waters. Int J Remote Sens 32(21):6855–6899CrossRef Matthews MW (2011) A current review of empirical procedures of remote sensing in inland and near-coastal transitional waters. Int J Remote Sens 32(21):6855–6899CrossRef
Zurück zum Zitat Michalopoulou Z-H, Bagheri S, Axe L (2009) Bayesian Estimation of Optical Properties of Nearshore Estuarine Waters: A Gibbs Sampling Approach. IEEE Trans Geosci Remote Sens. November 16, 2009 at 20:02 from IEEE Xplore Michalopoulou Z-H, Bagheri S, Axe L (2009) Bayesian Estimation of Optical Properties of Nearshore Estuarine Waters: A Gibbs Sampling Approach. IEEE Trans Geosci Remote Sens. November 16, 2009 at 20:02 from IEEE Xplore
Zurück zum Zitat Michalopoulou Z-H, Bagheri S, Axe L (2010) Bayesian estimation of optical properties nearshore estuarine waters: A Gibbs Sampling Approach. IEEE Transactions on Geoscience and Remote Sensing 48(3): 1579–1587. doi:10.1109/TGRS.2009.2028689 Michalopoulou Z-H, Bagheri S, Axe L (2010) Bayesian estimation of optical properties nearshore estuarine waters: A Gibbs Sampling Approach. IEEE Transactions on Geoscience and Remote Sensing 48(3): 1579–1587. doi:10.​1109/​TGRS.​2009.​2028689
Zurück zum Zitat Moses W-J, Gitelson A-A, Berdnikov S, Povazhnyy V (2009) Satellite estimation of chlorophyll-a concentration using the red and NIR Bands of MERIS—the Azov Sea case study. IEEE Geosci Remote Sens Lett 6:845–849CrossRef Moses W-J, Gitelson A-A, Berdnikov S, Povazhnyy V (2009) Satellite estimation of chlorophyll-a concentration using the red and NIR Bands of MERIS—the Azov Sea case study. IEEE Geosci Remote Sens Lett 6:845–849CrossRef
Zurück zum Zitat Peters SWM (2001) Analytical inversion methods for water quality parameter determination from remotely observed spectra. Institute for Environmental Studies, Vrije Universities, Netherlands Peters SWM (2001) Analytical inversion methods for water quality parameter determination from remotely observed spectra. Institute for Environmental Studies, Vrije Universities, Netherlands
Zurück zum Zitat Peters SWM (2002) Analytical inversion methods for water quality parameter determination from remotely observed spectra. Institute for Environmental Studies, Vrije Universiteit, Netherlands Peters SWM (2002) Analytical inversion methods for water quality parameter determination from remotely observed spectra. Institute for Environmental Studies, Vrije Universiteit, Netherlands
Zurück zum Zitat Yacobi YZ, Moses WJ, Kaganovsky S, Sulimani B, Leavitt BC, Gitelson AA (2011) NIR-red reflectance-based algorithms for chlorophyll-a estimation in mesotrophic inland and coastal waters: Lake Kinneret case study. Water Res 45:2428–2436CrossRefPubMed Yacobi YZ, Moses WJ, Kaganovsky S, Sulimani B, Leavitt BC, Gitelson AA (2011) NIR-red reflectance-based algorithms for chlorophyll-a estimation in mesotrophic inland and coastal waters: Lake Kinneret case study. Water Res 45:2428–2436CrossRefPubMed
Zurück zum Zitat Yu T (2005) Utility of remote sensing data in retrieval of water quality constituent concentration in coastal waters of New Jersey. PhD dissertation, Department of Civil and Environmental Engineering, NJIT Yu T (2005) Utility of remote sensing data in retrieval of water quality constituent concentration in coastal waters of New Jersey. PhD dissertation, Department of Civil and Environmental Engineering, NJIT
Metadaten
Titel
Inverse Modeling and Validation
verfasst von
Sima Bagheri
Copyright-Jahr
2017
DOI
https://doi.org/10.1007/978-3-319-46949-2_6