globalchange  > 气候变化事实与影响
DOI: 10.1016/j.jag.2016.04.007
Scopus记录号: 2-s2.0-84997108986
论文题名:
Use of MODIS satellite images for detailed lake morphometry: Application to basins with large water level fluctuations
作者: Ovakoglou G; , Alexandridis T; K; , Crisman T; L; , Skoulikaris C; , Vergos G; S
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 51
起始页码: 37
结束页码: 46
语种: 英语
英文关键词: Bathymetry ; Digital depth model ; Lake bed ; Lake bottom ; Remote sensing ; Sedimentation
英文摘要: Lake morphometry is essential for managing water resources and limnetic ecosystems. For reservoirs that receive high sediment loads, frequent morphometric mapping is necessary to define both the effective life of the reservoir and its water storage capacity for irrigation, power generation, flood control and domestic water supply. The current study presents a methodology for updating the digital depth model (DDM) of lakes and reservoirs with wide intra and interannual fluctuations of water levels using satellite remote sensing. A time series of Terra MODIS satellite images was used to map shorelines formed during the annual water level change cycle, and were validated with concurrent Landsat ETM+ satellite images. The shorelines were connected with in-situ observation of water levels and were treated as elevation contours to produce the DDM using spatial interpolation. The accuracy of the digitized shorelines is within the mapping accuracy of the satellite images, while the resulting DDM is validated using in-situ elevation measurements. Two versions of the DDM were produced to assess the influence of seasonal water fluctuation. Finally, the methodology was applied to Lake Kerkini (Greece) to produce an updated DDM, which was compared with the last available bathymetric survey (1991) and revealed changes in sediment distribution within the lake. © 2016 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80065
Appears in Collections:气候变化事实与影响

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作者单位: Laboratory of Remote Sensing and GIS, Faculty of Agriculture, Aristotle University of Thessaloniki, Thessaloniki, Greece; Department of Integrative Biology, University of South Florida, 4202 E. Fowler Ave. SCA 110, Tampa, FL, United States; Division of Hydraulics and Environmental Engineering, Department of Civil Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece; Department of Geodesy and Surveying, Aristotle University of Thessaloniki, Thessaloniki, Greece

Recommended Citation:
Ovakoglou G,, Alexandridis T,K,et al. Use of MODIS satellite images for detailed lake morphometry: Application to basins with large water level fluctuations[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,51
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