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Deriving and Evaluating Bathymetry Maps and Stage Curves for Shallow Lakes Using Remote Sensing Data

Author

Listed:
  • Neamat Karimi

    (Water Research Institute)

  • Mohammad Hossein Bagheri

    (Water Research Institute)

  • Farhad Hooshyaripor

    (Water Research Institute)

  • Ashkan Farokhnia

    (Water Research Institute)

  • Sara Sheshangosht

    (Water Research Institute)

Abstract

Urmia Lake as a most vital water bodies in Iran, has been shrinking since the late twentieth century and its area has dramatically decreased. To develop and apply any plans to survive the lake, qualitative and quantitative analysis and any modeling, deriving physical information such as volume, area and their changes are very crucial. The objectives of this study were therefore, intended firstly, to study the bathymetry of Urmia Lake with a more satisfactory approach using Landsat- LDCM satellite image and in situ measurement data. The polynomial model was developed to predict the water depth in Urmia Lake area. This model was developed with the input series of reflectance values from blue, green, red and NIR bands in the Landsat- LDCM satellite imagery for Urmia Lake taken on 12 April 2013 of the sampling sites from actual depth measured were taken on the same date. Also, using a large archive of Landsat imagery (TM, ETM+ and LDCM), a counter of equivalent elevation were established for deriving the bathymetry of desiccated areas by mapping the edges of the lake and finally assembled with bathymetry derived from polynomial model. In-situ depth measurements were used to evaluate resultant derived bathymetric map. This comparison shows reasonable agreement between the Landsat-derived depths and those measured in the field with RMSE of 0.27 cm and R2 = 0.91. The maximum and mean depths measured were 4.9 and 11 m respectively. The maximum depth measured was located at the upper part of the lake. As well as, developed multi-regression equation used for deriving another bathymetry map using Landsat- LDCM satellite image taken on Sep. 2015 for salt deposition monitoring. Results indicates that about 64 cm salt deposition has occurred during the last two years. Secondly, to make stage curves of lake, multi-temporal changes of water body have been derived from Landsat, MODIS and AVHRR satellite images sets since 1972. In this regard, the area of Urmia Lake at different level was estimated base on object oriented and pixel base classification using 78 satellite images. Finally, stage curve (volume- area- level relations) was derived from bathymetry map.

Suggested Citation

  • Neamat Karimi & Mohammad Hossein Bagheri & Farhad Hooshyaripor & Ashkan Farokhnia & Sara Sheshangosht, 2016. "Deriving and Evaluating Bathymetry Maps and Stage Curves for Shallow Lakes Using Remote Sensing Data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(14), pages 5003-5020, November.
    • Handle: RePEc:spr:waterr:v:30:y:2016:i:14:d:10.1007_s11269-016-1465-9
    DOI: 10.1007/s11269-016-1465-9
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    References listed on IDEAS

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    1. Lineu Rodrigues & Edson Sano & Tammo Steenhuis & Denílson Passo, 2012. "Estimation of Small Reservoir Storage Capacities with Remote Sensing in the Brazilian Savannah Region," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(4), pages 873-882, March.
    2. Elmira Hassanzadeh & Mahdi Zarghami & Yousef Hassanzadeh, 2012. "Determining the Main Factors in Declining the Urmia Lake Level by Using System Dynamics Modeling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(1), pages 129-145, January.
    3. Vincent Paul Obade & Rattan Lal & Richard Moore, 2014. "Assessing the Accuracy of Soil and Water Quality Characterization Using Remote Sensing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(14), pages 5091-5109, November.
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    Cited by:

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    2. Hone-Jay Chu & Mạnh Van Nguyen & Lalu Muhamad Jaelani, 2020. "Satellite-Based Water Quality Mapping from Sequential Simulation with Parameter Outlier Removal," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(1), pages 311-325, January.

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