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Comparison of Hydrographic Survey and Satellite Bathymetry in Monitoring Kerkini Reservoir Storage

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Abstract

This paper investigates two mapping methods for Kerkini reservoir bottom, in order to study the morphology and the evolution of deposits at the reservoir. The methods are the hydrographic and the satellite bathymetry. The hydrographic method incorporates the geodetic satellite technology with sonar system for mapping the bottom relief, while the satellite bathymetry extracts the depths using the information from the spectral bands of a satellite image. The satellite Worldview-2 was used in this study. The milestones for the Kerkini reservoir were the years 1952 and 1982, where the construction of the west dike changed the hydrological regime. After these changes, bottom surveys of the reservoir were carried out in 1962 and 1984 and charts were produced. Based on these diagrams, deposition rates are calculated and volumes are compared over the years till the recent mapping in 2014. The digital bathymetry models, obtained from the implementation of hydrography and satellite bathymetry, are compared to each other. Furthermore, the development of new methods for the determination of volume and deposition rate can contribute to the optimal management of such water systems and the creation of a sustainability index for the reservoir.

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References

  • Collin A, Hench JL (2012) Towards deeper measurements of tropical reefscape structure using the WorldView-2 spaceborne sensor. Remote Sens 4(5):1425–1447. https://doi.org/10.3390/rs4051425

    Article  Google Scholar 

  • Chang CW, Liew SC (2011) Retrieval of water optical properties from eight-spectral band Worldview-2 satellite images. 32nd Asian Conference on Remote Sensing 2011, ACRS

  • Czuba JA, Olsen TD, Czuba CR, Magirl CS, Gish CC (2012) Changes in sediment volume in Alder lake, Nisqually River Basin , Washington, 1945–2011. U.S. Geological Survey Open-File Report 1068

  • Deidda M, Sanna G (2012) Bathymetric extraction using Worldview-2 high resolution images. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XXXIX- B8(September):153–157. https://doi.org/10.5194/isprsarchives-xxxix-b8-153-2012

    Article  Google Scholar 

  • Dierssen HM, Zimmerman RC, Leathers RA, Downes TV, Davis CO (2003) Ocean color remote sensing of seagrass and bathymetry in the Bahamas Banks by high resolution airborne imagery. Limnology and Oceanography 48(1 part 2):444–455. https://doi.org/10.4319/lo.2003.48.1part2.0444

    Article  Google Scholar 

  • Dorst LL (2004) Survey plan improvement by detecting sea floor dynamics in archived echo sounder surveys. Int Hydrogr Rev 5(2):49–63

    Google Scholar 

  • Dost RJJ, Mannaerts CM (2008) Generation of lake bathymetry using sonar, satellite imagery and GIS. In: Dangermond J (ed) ESRI 2008: Proceedings of the 2008 ESRI International User Conference: GIS, Geography in Action, August 4–8, 2008, San Diego, CA: ESRI, 5 p.

  • El-Mowafy A (2012) Precise real-time positioning using network RTK. Global Navigation Satellite Systems - Signal, Theory and Applications, pp 161–188

    Google Scholar 

  • Figueiredo IN, Pinto L (Jan. 2016) Gonçalves G (2016) A modified Lyzenga’s model for multispectral bathymetry using Tikhonov regularization. In IEEE Geoscience and Remote Sensing Letters 13(1):53–57. https://doi.org/10.1109/LGRS.2015.2496401

    Article  Google Scholar 

  • Gao J (2009) Bathymetric mapping by means of remote sensing: methods, accuracy and limitations. Prog Phys Geogr 33:103–116. https://doi.org/10.1177/0309133309105657

    Article  Google Scholar 

  • Henning W (2008) National geodetic survey user guidelines for classical real time GNSS positioning. Tech. Rep. September

  • Horning N, Robinson JA, Sterling EJ, Turner W, Spector S (2010) Remote Sensing for Ecology and Conservation – A Handbook of Techniques W. J. Sutherland, Ed., New York: Oxford University press inc.

  • Hutchinson MF, Stein JL, Gallant JC, Dowling TI (2013) New methods for incorporating and analyzing drainage structure in digital elevation models pp. 1-4

  • Kaimaris D, Patias P, Stylianidis E (2012) Evaluation of methodologies for the determination of bathymetry using Worldview-2. J Appl Remote Sens 2(2):57–64

    Google Scholar 

  • Khondoker MSI, Siddiquee M, Hasan Z (2016) Deriving river bathymetry using space borne remote sensing technique in Bangladesh. IOSR Journal of Engineering (IOSRJEN) 1(1):45–51. https://doi.org/10.11648/j.aos.20160101.12

    Article  Google Scholar 

  • Lee KR, Olsen RC, Kruse FA, Kim AM (2013) Using multi-angle WorldView- 2 imagery to determine bathymetry near Oahu, Hawaii. Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX 8743:874,311. https://doi.org/10.1117/12.2015660

    Article  Google Scholar 

  • Lee Z, Brandon C, Arnone R, Weidemann A, Parsons R, Montes MJ, Gao BC, Goode W, Davis OC, Dye J (2007) Water and bottom properties of a coastal environment derived from Hyperion data measured from the EO-1 spacecraft platform. Journal of Applied Remote Sensing 1(1):011502

    Article  Google Scholar 

  • Lyzenga DR (1978) Passive remote sensing techniques for mapping water depth and bottom features. Appl. Opt. 17(3), 379-383. https://doi.org/10.1364/AO.17.000379

    Article  Google Scholar 

  • Lyzenga DR (1981) Remote sensing of bottom reflectance and water attenuation parameters in shallow water using aircraft and Landsat data. Int J Remote Sens 2(1):71–82. https://doi.org/10.1080/01431168108948342

    Article  Google Scholar 

  • Mageed KMA (2013) Accuracy evaluation between GPS virtual reference station (VRS) and GPS real time kinematic (RTK) techniques. World Appl Sci J 24(9):1154–1162. https://doi.org/10.5829/idosi.wasj.2013.24.09.13273

    Article  Google Scholar 

  • Mohamed H, Negm A, Zahran M, Saavedra OC (2016) Bathymetry determination from high resolution satellite imagery using ensemble learning algorithms in shallow lakes: case study El-Burullus lake. International Journal of Environmental Science and Development 7(4):295–301. https://doi.org/10.7763/IJESD.2016.V7.787

    Article  Google Scholar 

  • Niroumand-Jadidi M, Vitti A (2016) Optimal band ratio analysis of Worldview-3 imagery for bathymetry of shallow rivers (case study: Sarca river, Italy). In: ISPRS16, pp. B8: 361-364

    Article  Google Scholar 

  • Patias P, Georgiadis Ch, Anzidei M, Kaimaris D, Pikridas Ch, Mallinis G, Doumaz F, Bosman A, Sepe V, Vecchie A (2018) Coastal 3D mapping using very high resolution satellite images and UAV imagery: new insights from the SAVEMEDCOASTS project. Proc. SPIE 10773, Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018), 107730V, 2018, Paphos, Cyprus

  • Pe’eri S, Azuike C, Alexander L, Parrish C, Armstrong A (2012) Beyond the chart: the use of satellite remote sensing for assessing chart adequacy and completeness information. Canadian Hydrographic Association, Conference

    Google Scholar 

  • Pe’eri S, Madore B, Nyberg J, Snyder L, Parrish C, Smith S (2016) Identifying bathymetric differences over Alaska’s north slope using a satellite-derived bathymetry multi-temporal approach. Journal of coastal research pp 56–63. https://doi.org/10.2112/SI76-006

    Article  Google Scholar 

  • Polcyn FC, Brown WL, Sattinger IJ (1970) The measurement of water depth by remote sensing techniques. Univercity of Michigan Institute of Science and, Technology

    Google Scholar 

  • Sandoval-Solis S, McKinney DC, Loucks DP (2010) Sustainability index for water resources planning and management. J Water Resour Plan Manag 137(5):381–390. https://doi.org/10.1061/(asce)wr.1943-5452.0000134

    Article  Google Scholar 

  • Setiawan KT, Adawiah SW, Marini Y, Winarso G (2018) Bathymetry data extraction analysis using Landsat 8 data. International Journal of Remote Sensing and Earth Sciences (IJReSES) 13(2):79. Doi https://doi.org/10.30536/j.ijreses. 2016.v13.a2448

  • Stumpf RP, Pennock JR (1989) Calibration of a general optical equation for remote sensing of suspended sediments in a moderately turbid estuary. J Geophys Res 94(C10):14363. https://doi.org/10.1029/JC094iC10p14363

    Article  Google Scholar 

  • Stumpf RP, Holderied K, Sinclair M (2003) Determination of water depth with high–resolution satellite imagery over variable bottom types. Limnology and Oceanography 48(1 part 2), 547–556. https://doi.org/10.4319/lo.2003.48.1part2.0547

  • Tang KKW, Mahmud MR (2018) Imagery–derived bathymetry in strait of Johor’s turbid waters using multispectral images. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences – ISPRS archives, 42(4/W9), pp.133–137

  • Tsolakidis I, Vafiadis M (2018) Modern mapping technologies for morphometry dynamics of Kerkini reservoir. In: Proceedings of the International Conference Protection and Restoration of the Environment XIV. Thessaloniki, Greece

  • Updike T, Comp C (2010) Radiometric use of WorldView-2 imagery. Tech. Rep, November, DIGITALGLOBE

    Google Scholar 

  • Vermote E, Tanre D, Deuze J, Herman M, Morcrette J (1997) Second simulation of the satellite signal in the solar spectrum, 6S: an overview. IEEE Trans Geosci Remote Sens 35(3):675–686

    Article  Google Scholar 

  • Williams R (2012) DEMs of difference. Geomorphological Techniques 2(3.2), pp.1–17

  • Wilson LG, Richards MJ (2006) Procedural Documentation and Accuracy Assessment of Bathymetric Maps and Area / Capacity Tables for Small Reservoirs. U.S. Geological Survey Scientific Investigations Report 2006–5208, 24p

  • Yuzugullu O, Aksoy A (2014) Generation of the bathymetry of a eutrophic shallow lake using WorldView-2 imagery. J Hydroinf 16(1):50–59. https://doi.org/10.2166/hydro.2013.133

    Article  Google Scholar 

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Acknowledgements

An initial version of the paper has been presented in the “International Conference on Protection and Restoration of the Environment XIV”, July 3rd to 6th, 2018, Thessaloniki, Greece.

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Authors and Affiliations

  1. Lake Kerkini Management Authority, GR-62055 Kerkini, Serres, Greece

    I. Tsolakidis

  2. Division of Hydraulics and Environmental Engineering, School of Civil Engineering, Aristotle University of Thessaloniki, GR-54124, Thessaloniki, Greece

    M. Vafiadis

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  1. I. Tsolakidis
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  2. M. Vafiadis
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Correspondence to I. Tsolakidis.

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Tsolakidis, I., Vafiadis, M. Comparison of Hydrographic Survey and Satellite Bathymetry in Monitoring Kerkini Reservoir Storage. Environ. Process. 6, 1031–1049 (2019). https://doi.org/10.1007/s40710-019-00394-7

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