XXII ISPRS Congress 2012: Technical Commission VIII

Shortis, M.; Shimoda, H.; Cho, K.

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Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663822514

Title:: Technical Commission VIII

Scope:: 590 Seiten

Year of publication:: 2014

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663822514

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Shortis, M.; Shimoda, H.; Cho, K.

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VIII/4: Water]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: REMOTE SENSING OF WATER QUALITY IN OPTICALLY COMPLEX LAKES T. Kutser, B. Paavel, C. Verpoorter, T. Kauer, E. Vahtmäe

Document type:: Multivolume work

Structure type:: Chapter

, 2012 ange in Mo- pp. 42-64. hniques for lied Optics, lectance and aircraft and 2 ig combined . J. Remote Multispectral rithm. [EEE 2251-2259. metrics, 15, lquist, 2004. ectral data. ession with Shallow sea ech. Chron. summary) ipping from alized ratio nth passive -1578. lence on the vol.8, no.3, r the Social etermination nagery over 7-556. erivation for ite imagery esy, 31, pp. eanography, Engineering, , Greece (in ric use of e®, Inc. poral water ote Sensing, REMOTE SENSING OF WATER QUALITY IN OPTICALLY COMPLEX LAKES T. Kutser *°*, B. Paavel*, C. Verpoorter 5 T. Kauer?, E. Vahtmàáe* ? Estonian Marine Institute, University of Tartu, Máealuse 14, 12618, Tallinn, Estonia — Tiit.Kutser(a)sea.ee b Limnology / Department of Ecology and Genetics, University of Uppsala, Norbyvágen 18D, Uppsala, 75236, Sweden Commission VIII/4 KEY WORDS: Lakes, remote sensing, water quality, aquatic optics, chlorophyll-a, CDOM, suspended matter ABSTRACT: Solving of several global and regional problems requires adequate data about lake water quality parameters like the amount and type of phytoplankton dominating in the lakes, the amount of dissolved and coloured dissolved organic matter and/or concentration of suspended sediment. Remote sensing is the only practical way to study many lakes provided it can produce sufficiently accurate estimates of the water characteristics. We studied optically very variable lakes in order to test both physics based methods and conventional band-ratio type algorithms in retrieval of water parameters. The modelled spectral library used in the physics based approach provided very good results for chlorophyll-a retrieval. The number of different concentrations of CDOM and suspended matter used in the simulations was too low to provide good estimates of these parameters. Extending the spectral library is currently in progress. Band-ratio type algorithms worked well in chlorophyll-a and CDOM retrieval. None of the algorithms tested for total suspended matter, organic suspended matter and inorganic suspended matter retrieval performed well enough and there is need in further testing. 1. INTRODUCTION Monitoring of lake water quality in regional to global scales is important from several aspects. For example recent studies (Cole et al., 2007; Battin et al., 2009; Tranvik et al., 2009) indicate that lakes play very important role in the global carbon cycle. These estimates are mainly based on upscaling regional in situ data to global scale. The true role of lakes in the global carbon cycle can be determined only by remote sensing as it is not possible to study sufficient amount of lakes by means of in situ sampling. However, reliable remote sensing algorithms for retrieval of parameters like coloured dissolved organic matter, CDOM, will be needed as CDOM can be used as a proxy to estimate also DOC (dissolved organic carbon) concentrations and CO, saturation in lakes in global scale (Kutser et al. 2005a,b, 2009a, Sobek et al. 2003). Monitoring of lake DOC is important also from drinking water quality point of view as chlorination produces cancerogenic compounds and increasing DOC in lakes used as a drinking water source impacts human health (McDonalnd and Komulainen 2005). Frequency and extent of intense phytoplankton blooms has increased in inland and coastal waters around the world (Hallegraeff 2003, Sellner et al. 2003, Glibert et al. 2005) Potentially harmful effects of the blooms (Edler et al. 1985, Horner et al. 1997, Landsberg 2002, Hallegraeff 2003, Sellner et al. 2003, Glibert et al. 2005, Backer and McGillicuddy 2006) on human and animal health, drinking water quality and recreational use of water bodies have caused awareness of general public, environmental agencies and water authorities. Conventional monitoring networks, that are based on infrequent sampling in a few fixed monitoring stations, cannot provide the information needed as the blooms are very heterogeneous both spatially and temporally. Only remote sensing can provide the spatial and temporal coverage needed. Many authors (see * Corresponding author. references in review papers by Kutser 2009b and Matthews 2011) have worked on recognition and quantitative mapping of potentially harmful blooms. However, the quantitative mapping problem is still unsolved as there is no sufficient information on optical properties of different blooms and vertical structure of biomass in the blooms (for these species that can migrate in the water column). Physics based methods using modelled spectral libraries (look- up tables) in interpretation of remote sensing data have gained popularity in both mapping of water depth and shallow water benthic habitats (Kutser et al. 2002, 2006; Mobley et al. 2005; Lesser and Mobley 2007; Brando et al. 2009) but also in retrieving optically active constituents of the water column (Kutser et al. 2001, Brando et al. 2009) or estimating phytoplankton biomass in heavy blooms (Kutser 2004). We used Hydrolight radiative transfer model to simulate remote sensing reflectance spectra and then used procedure called Spectral Angle Mapper, SAM, to find the modelled spectrum most similar to the measured one. It was assumed that the concentrations of chlorophyll-a, CDOM and mineral particles in the water match the concentrations used in modelling if the measured and modelled reflectance spectra match. This would allow to retrieve the three concentrations simultaneously. Suitability of several band-ratio type algorithms for retrieving the optically active water constituents were also tested. 2. STUDY SITES AND METHODS 2.1 Study sites The selected lakes are variable in their optical water properties and large enough for satellite remote sensing with sensors like MERIS with it's 300 m spatial resolution. Lake Peipsi in Estonia is the fourth largest lake in Europe (3555 km”). It's

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