Mr. Marios G. Spiliotopoulos Profile

Marios G. Spiliotopoulos

at Univ of Thessaly

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Author

Publications (8)

Proceedings Article | 19 June 2015 Paper

A new remote sensing procedure for the estimation of crop water requirements

M. Spiliotopoulos, A. Loukas, N. Mylopoulos

Proceedings Volume 9535, 95351C (2015) https://doi.org/10.1117/12.2192688

KEYWORDS: Landsat, MODIS, Reflectivity, Satellites, Remote sensing, Calibration, Sensors, Spatial resolution, Satellite imaging, Earth observing sensors

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Proceedings Article | 19 June 2015 Paper

Development of a district information system for water management planning and strategic decision making

A. Loukas, J. Tzabiras, M. Spiliotopoulos, K. Kokkinos, C. Fafoutis, N. Mylopoulos

Proceedings Volume 9535, 95351L (2015) https://doi.org/10.1117/12.2193892

KEYWORDS: Atmospheric modeling, Distributed interactive simulations, Algorithm development, Data modeling, Geographic information systems, Heat flux, Landsat, Remote sensing, Systems modeling, Earth observing sensors

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The overall objective of this work is the development of a District Information System (DIS) which could be used by stakeholders for the purposes of a district day-to-day water management as well as for planning and strategic decisionmaking. The DIS was developed from a GIS-based modeling approach, which integrates a generic crop model and a hydraulic model of the transport/distribution system, using land use maps generated by Landsat TM imagery. The main sub-objectives are: (i) the development of an operational algorithm to retrieve crop evapotranspiration from remote sensing data, (ii) the development of an information system with friendly user interface for the data base, the crop module and the hydraulic module and (iii) the analysis and validation of management scenarios from model simulations predicting the respective behavior. The Lake Karla watershed is used in this study, but the overall methodology could be used as a basis for future analysis elsewhere. Surface Energy Balance Algorithm for Land (SEBAL) was used to derive monthly actual evapotranspiration (ET) values from Landsat TM imagery. Meteorological data from the archives of the Institute for Research and Technology, Thessaly (I.RE.TE.TH) has also been used. The methodology was developed using high quality Landsat TM images during 2007 growing season. Monthly ET values are used as an input to CROPWAT model. Outputs of CROPWAT model are then used as input for WEAP model. The developed scenario is based on the actual situation of the surface irrigation network of the Local Administration of Land Reclamation (LALR) of Pinios for the year of 2007. The DIS is calibrated with observed data of this year and the district parameterization is conducted based on the actual operation of the network. The operation of the surface irrigation network of Pinios LALR is simulated using Technologismiki Works, while the operation of closed pipe irrigation network of Lake Karla LALR is simulated using Watercad. Four alternative scenarios have been tested with the DIS: reduction of channel losses, alteration of irrigation methods, Introduction of greenhouse cultivation, and operation of the future Lake Karla network. The results of the simulation for the historical period indicate that the water pumped from Pinios LALR is not enough to serve irrigation requirements. The spatial and temporal variation of the unmet and unsatisfied water demand has been estimated. Simulation of the four alternative scenarios indicated that the alteration of irrigation methods scenario mainly increases the efficiency of the irrigation network.

Proceedings Article | 19 June 2015 Paper

Estimation of crop water requirements using remote sensing for operational water resources management

Lampros Vasiliades, Marios Spiliotopoulos, John Tzabiras, Athanasios Loukas, Nikitas Mylopoulos

Proceedings Volume 9535, 95351B (2015) https://doi.org/10.1117/12.2192520

KEYWORDS: Agriculture, Remote sensing, Landsat, Calibration, Satellites, Integrated modeling, Systems modeling, Satellite imaging, Climatology, Earth observing sensors

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Proceedings Article | 12 August 2014 Paper

Identification of the key variables that can be estimated using remote sensing data and needed for Water Footprint (WF) assessment

Mireia Romaguera, Leonidas Toulios, Gheorghe Stancalie, Argentina Nertan, Marios Spiliotopoulos, Piotr Struzik, Eman Calleja, Giorgos Papadavid

Proceedings Volume 9229, 922912 (2014) https://doi.org/10.1117/12.2066120

KEYWORDS: Remote sensing, Satellites, Data modeling, Soil science, Vegetation, Climatology, Agriculture, Environmental sensing, Sensors, Climate change

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Proceedings Article | 12 August 2014 Paper

Investigation of spatial relationships between crop coefficients and specific ground based vegetation indices for Karla watershed, Greece

M. Spiliotopoulos, A. Loukas, N. Mylopoulos, L. Toulios, G. Stancalie

Proceedings Volume 9229, 92290J (2014) https://doi.org/10.1117/12.2066095

KEYWORDS: Vegetation, Reflectivity, Landsat, Meteorology, Satellites, Remote sensing, Sensors, Field spectroscopy, Agriculture, Earth observing sensors

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Proceedings Article | 12 August 2014 Paper

Potential of using satellite based vegetation indices and biophysical variables for the assessment of the water footprint of crops

Gh. Stancalie, A. Nertan, L. Toulios, M. Spiliotopoulos

Proceedings Volume 9229, 92290K (2014) https://doi.org/10.1117/12.2066392

KEYWORDS: Vegetation, Remote sensing, Satellites, Agriculture, Climatology, Spatial resolution, Reflectivity, MODIS, Data modeling, Earth observing sensors

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Proceedings Article | 5 August 2013 Paper

A spatial downscaling procedure of MODIS derived actual evapotranspiration using Landsat images at central Greece

M. Spiliotopoulos, N. Adaktylou, A. Loukas, H. Michalopoulou, N. Mylopoulos, L. Toulios

Proceedings Volume 8795, 879508 (2013) https://doi.org/10.1117/12.2027536

KEYWORDS: Landsat, MODIS, Spatial resolution, Satellites, Heat flux, Algorithm development, Remote sensing, Sensors, Image resolution, Earth observing sensors

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Proceedings Article | 24 February 2004 Paper

Remotely sensed innovative approach for the cumulative meteorological effects on cotton production

Christos Domenikiotis, Marios Spiliotopoulos, Emanouil Tsiros, Nicolaos Dalezios

Proceedings Volume 5232, (2004) https://doi.org/10.1117/12.512392

KEYWORDS: Meteorology, Vegetation, Satellites, Agriculture, Environmental sensing, Climatology, Meteorological satellites, Remote sensing, Atmospheric modeling, Composites

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Showing 5 of 8 publications

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