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Publications (Dr George P. Petropoulos)

Citations=1815, h-index: 23, h10-index: 46 (Google scholar, 17/04/2019)

PUBLICATIONS: Published Books as Editor/Co-Editor (last updated: 17/04/2019)

2017:

  1. Petropoulos, G.P. & T. Islam: Remote Sensing of Hydrometeorological Hazards, ISBN: 978-1-4987-7758-2, Elsevier, ISBN: 978-01-4987-7758-2.

2016:

  1. Petropoulos, G.P. & P.K. Srivastava: Sensitivity Analysis in Earth Observation Modelling, Elsevier, 417pp, ISBN: 9780128030110.
  2. Srivastava P.K., G.P. Petropoulos & Y. Kerr: Satellite Soil Moisture Retrieval: Techniques and Applications, Elsevier, 411 pp, ISBN: 978-0-12-803388-3.

2013:

  1. Petropoulos G.P.: "Remote Sensing of Energy Fluxes and Soil Moisture Content", 506 pp, Taylor and Francis. ISBN: 978-1-4665-0578-0.

PUBLICATIONS: Contributions to Edited Books (last updated: 17/04/2019)

2019:

  1. Pandey, V., P.K. Srivastava & G.P. Petropoulos (2019). The Contribution of Earth Observation in Disasters Prediction, Management and Mitigation: a Holistic View. Chapter 4, pp: xx-xx, in “Techniques for Disaster Risk Management and Mitigation”. Publisher AGU-Wiley. ISBN-10: 111935918X [in press]
  2. Stippa, S.R., K.P. Ferentinos, G. P. Petropoulos (2019). An Exploration of the Panther Mountain Crater Impact Using Spatial Data and GIS Spatial Correlation Analysis Techniques. Chapter 10, pp: xx-xx, in “Techniques for Disaster Risk Management and Mitigation”. Publisher AGU-Wiley. ISBN-10: 111935918X [in press]
  3. Amos, C. , K.P. Ferentinos, G.P. Petropoulos and P. K Srivastava (2019). Assessing the use of Sentinel-2 in Burnt Area Cartography: Findings from a case study in Spain. Chapter 12, ppxx-xx, in “Techniques for Disaster Risk Management and Mitigation”. Publisher AGU-Wiley. ISBN-10: 111935918X [in press]
  4. Suman, S., M.R. North, G.P. Petropoulos, P. K. Srivastava, J.P. McCalmont, D. S. Fuzzo, S. Lamine, L. Toulios & T. Carlson (2018): Modelling Key Parameters Characterising Land Surface in 1D Space Using the SimSphere SVAT Model: Findings From its Use at European Ecosystems. Chapter 9, ppxx-xx, in “Agricultural Water Management”, published by Elsevier, USA”, Edited by M. Gupta, P. K. Srivastava, G. Tsakiris & N. Quinn, 9780128123621, Elsevier [in press]
  5. Srivastava, P. K., A. Anand & G.P. Petropoulos (2019). Assessment of spatial interpolation techniques for soil water content estimation. Chapter 18, pp: xx-xx, in “Agricultural Water Management”, published by Elsevier, USA”, Edited by M. Gupta, P. K. Srivastava, G. Tsakiris & N. Quinn, 9780128123621, Elsevier [in press]
  6. Howells, O. G.P. Petropoulos & Z. Ioannou (2019): Evaluating the Potential for National Coverage of Soil Moisture Monitoring using Remote Sensing. Chapter xx, pp: xx-xx, to appear in Agricultural Water Management: Theories and Practices, Academic Press, Elsevier, ISBN: 9780128123621, Edited by Gupta, M., P.K. Srivastava, G. Tsakiris & N. Quinn [accepted]
  7. Dalezios, N., G.P. Petropoulos & I. Faraslis (2019): Concepts and Methodologies of Environmental Hazards Affecting Agriculture and Agroecosystems. Chapter xx, pp: xx-xx, to appear in Agricultural Water Management: Theories and Practices, Academic Press, Elsevier, ISBN: 9780128123621, Edited by Gupta, M., P.K. Srivastava, G. Tsakiris & N. Quinn [accepted]

2018:

  1. Pandley, P.C., K. Manevski, P.K. Srivastava & G.P. Petropoulos (2018): The Use of Hyperspectral Earth observation Data for Land Use/Cover Classification: Present Status, Challenges and Future Outlook. Chapter xx, pp: xx-xx, to appear in “Hyperspectral Remote Sensing of Vegetation”, published by Taylor & Francis CRC Press. 9781439845370, Edited by P. Thenkabail. [in press].
  2. Suman S., M.R. North, G.P. Petropoulos, P. K. Srivastava, J.P. McCalmont, D. S. Fuzzo, S. Lamine & T. Carlson (2018): Modelling Key Parameters Characterising Land Surface in 1D Space Using the SimSphere SVAT Model: Findings From its Use at European Ecosystems. Chapter xx, ppxx-xx, to appear in “Agricultural Water Management: Theory and Practices”, published by Elsevier, USA”, Edited by M. Gupta, P. K. Srivastava, G. Tsakiris & N. Quinn, 9780128123621, Elsevier. [accepted].

2017:

  1. Dalezios N. R. & G.P. Petropoulos (2017): Frost and Remote Sensing: An Overview of Capabilities & Potential. Chapter 6, pp: 105-129, in “Remote Sensing of Hydrometeorological Hazards, Edited by G.P. Petropoulos & T. Islam, ISBN: 978-1-4987-7758-2,Elsevier.
  2. Louka, P., I. Papanikolaou, G.P. Petropoulos & N. Stathopoulos (2017): Temperature Fluctuation & Frost Risk Analysis on a Road Network by Coupling Remote Sensing Data, Thermal Mapping and GIS Techniques. Chapter 9, pp: 183-210, in “Remote Sensing of Hydrometeorological Hazards, Edited by G.P. Petropoulos & T. Islam, pp520, ISBN: 978-1-4987-7758-2, Elsevier.

2016:

  1. Kennedy, M. & G.P. Petropoulos (2016): GEM-SA: The Gaussian Emulation Machine for Sensitivity Analysis. Chapter 8, to appear in “Sensitivity Analysis in Earth Observation”, Edited by G.P. Petropoulos & P.K. Srivastava, ISBN: 978-0-12-803388-3.
  2. Lee. L. P.K. Srivastava & G.P. Petropoulos (2016): Overview of Sensitivity Analysis Methods in Earth observation Modelling. Chapter 1, to appear in “Sensitivity Analysis in Earth Observation”, Edited by G.P. Petropoulos & P.K. Srivastava, Elsevier, ISBN: 978-0-12-803388-3.
  3. Srivastava, P.K., T. Islam, S.K. Singh, M. Gupta, G.P. Petropoulos, W.Z. Wan Jaafar & R. Prasad (2016): Soil Moisture Deficit Estimation Through SMOS Soil Moisture and MODIS Land Surface Temperature. Chapter 17, pp-333-347. To appear in “Satellite Soil Moisture Retrieval: Techniques and Applications”, Edited by Srivastava et al., Elsevier, ISBN: 978-0-12-803388-3.
  4. Petropoulos G.P., G. Ireland, H. Griffiths, T. Islam, D. Kalivas, V. Anagnostopoulos, C. Hodges & P.K. Srivastava (2016): Spatiotemporal Estimates of Surface Soil Moisture From Space Using the Ts/VI Feature Space. Chapter 5, pp: 87-104. To appear in “Satellite Soil Moisture Retrieval: Techniques and Applications”, Elsevier, Edited by Srivastava et al., Elsevier, ISBN: 978-0-12-803388-3.

2015:

  1. Petropoulos G.P. & Gareth Ireland (2015): PROgRESSIon – Investigating the Prototyping of Operational Estimation of Energy Fluxes and Soil Moisture Content Using a Variant of the “Triangle” Inversion Methodology. Chapter 6, pp 4-24. In “Remote Sensing Advances for Earth System Science”, edited by Diego Fernández-Prieto, Roberto Sabia, published by Springer.
  2. Louka, P., I., Papanikolaou, G.P Petropoulos & N. Stathopoulos (2015): A Deterministic Model to Predict Frost Hazard in Agricultural Land Utilising Remotely sensed Imagery & GIS. Book Chapter. In "Geospatial Technology for Water Resource Applications" edited by Prashant K. Srivastava, Prem Pandey, Pawan Kumar, Dawei Han, AS Raghubanshi, published by CRC Press, Taylor and Francis, USA, ISBN 9781498719681.
  3. Biggs, T., G.P. Petropoulos, N. M. Velpuri, M. Marshall, E.P. Glenn, P. Nagler & A. Messina (2015): Remote Sensing of Actual Evapotranspiration From Croplands. Chapter 3, pp 59-100; in book “Remote Sensing of Water Resources, Disasters, and Urban Studies” edited by P. S. Thenkabail, Taylor & Francis. pp. 660; ISNB: 978-1-4822-1791-9.

2014:

  1. Petropoulos G.P., Manevski, K. & T.N., Carlson (2014): Hyperspectral Remote Sensing With Emphasis to Land Cover Mapping: From Ground to Satellite Observations, 32 pages. In “Scales Issues in Remote Sensing”, edited by Q. Weng, Wiley and Sons, Inc., ISBN: 1118305043.
  2. Petropoulos G., H. Griffiths, P. Ioannou-Katidis and P.K Srivastava (2014): Sensitivity Exploration of SimSphere Land Surface Model Towards its Use for Operational Products Development from Earth Observation Data, Chapter 4, pages 31-56. In “Advancements in Remote Sensing for Environmental Applications”, edited by S. Mukherjee, M. Gupta, P.K. Srivastava and T. Islam, Society of Earth Scientists Series, Springer International Publishing, Switzerland, DOI: 10.1007/978-3-319-05906-8_3.

2013:

  1. Petropoulos G.P., Carlson, T.N., & H. Griffiths (2013): Turbulent Fluxes of Heat and Moisture at the Earth’s Land Surface: Importance, Controlling Parameters and Conventional Measurement, Chapter 1, pages 3-28, in “Remote Sensing of Energy Fluxes and Soil Moisture Content ", by G.P. Petropoulos, Taylor & Francis, ISBN: 978-1-4665-0578-0.
  2. Petropoulos G.P., H. Griffiths, W. Dorigo, A. Xaver & A. Gruber (2013): Surface Soil Moisture Estimation: Significance, Controls & Conventional Measurement Techniques Chapter 2, pages 29-48, in “Remote Sensing of Energy Fluxes and Soil Moisture Content", by G.P. Petropoulos, Taylor and Francis, ISBN: 978-1-4665-0578-0.
  3. Petropoulos G.P. (2013): Remote Sensing of Surface Turbulent Energy Fluxes. Chapter 3, pages 49-84, in “Remote Sensing of Energy Fluxes and Soil Moisture Content ", by G.P. Petropoulos, Taylor and Francis, ISBN: 978-1-4665-0578-0.
  4. Barrett, B. & G.P. Petropoulos (2013): Satellite Remote Sensing of Surface Soil Moisture. Chapter 4, pages 85-120, in “Remote Sensing of Energy Fluxes and Soil Moisture Content ", by G.P. Petropoulos, Taylor Francis, ISBN: 978-1-4665-0578-0.

2011:

  1. Petropoulos G.P. & T.N., Carlson (2011): Retrievals of Turbulent Heat Fluxes and Soil Moisture Content by Remote Sensing, pages 469-501, in “Advances in Environmental Remote Sensing: Sensors, Algorithms, and Applications”, Ed. Taylor and Francis, pp. 556, ISBN: 978-1-4200-9175-5.
  2. Petropoulos G.P. & C. Kalaitzidis (2011): Multispectral Vegetation Indices in Remote Sensing: an Overview – Chapter 2, 15-39,. In “Ecological Modeling”, editors: Wen-Jun Zhang, Novapublishers, USA, ISBN: 978-1-61324-567-5, [invited contribution].
  3. Altatouri, A., Pediaditi, K., Petropoulos, G.P., Zianis, D. & N. Boretos (2011): Development of a Decision Support System for the Estimation of Surface Water Pollution Risk from Olive Mill Waste Discharges - book chapter. In “Ecological Modeling”, Chapter 3, 40-64, Novapublishers, USA, ISBN: 978-1-61324-567-5, [invited contribution].

PUBLICATIONS: to peer-reviewed international journals (last updated: 17/04/2019)

2019:

  1. Srivastava, P.K., P. C. Pandley, G.P. Petropoulos, N. K. Kourgialas, S. Pandley & U. Singh (2019): GIS and remote sensing aided information for soil moisture estimation: A comparative study of interpolation technique. Resources MDPI, [in press].
  2. Dawson, R., G.P. Petropoulos, L. Toulios & P.K. Srivastava (2019): Mapping and Monitoring of the Land Use/Cover Changes in the Wider Area of ltanos, Crete, Using Very High Resolution EO Imagery With Specific Interest in Archaeological Sites. Environment, Development and Sustainability, [in press], DOI: 10.1007/s10668-019-00353-0 [IF: 1.379].
  3. Cass, A., G.P. Petropoulos, K.P. Ferentinos, A. Pavlides & P.K. Srivastava (2019): Exploring the synergy between Landsat and ASAR towards improving thematic mapping accuracy of optical EO data. Applied Geomatics, doi: 10.1007/s12518-019-00258-7 [in press], [IF: 0.733].
  4. Carlson, T.N. & G.P. Petropoulos (2019): A New Method for Estimating of Evapotranspiration and Surface Soil Moisture from Optical and Thermal Infrared Measurements: The Simplified Triangle. International Journal of Remote Sensing, [in press], [IF: 1.782].
  5. Deng, K.A.K., S. Lamine, A. Pavlides, G.P. Petropoulos, P.K. Srivastava, Y. Bao, D. Hristopulos & V. Anagnostopoulos (2019): Operational Soil Moisture from ASCAT in Support of 2 Water Resources Management. Remote Sensing MDPI, [in press], [IF: 3.406]
  6. Bao, Y. L. Zhu, Q. Guan, Y. Guan, Q. Lu, G.P. Petropoulos, H. Che, G. Ali, Y. Dong, Z. Tang, Y. Gu, W. Tang & Y. Hou (2019): Assessing the impact of Chinese FY-3/MERSI AOD Data Assimilation on Air Quality Forecasts: Sand Dust Events in Northeast China, Atmospheric Environment, S1352-2310(19)30118-9, DOI: 10.1016/j.atmosenv.2019.02.026 [in press], [IF: 3.708]
  7. Lamine, S., G.P. Petropoulos, P.A. Brewer, N. I, Bachari, P.K. Srivastava, K. Manevski, C. Kalaitzidis & M. G. Macklin (2019): Heavy Metal soil Contamination Detection Using Combined Geochemistry and Field Spectroradiometry in the United Kingdom. Sensors MDPI, 19, 762, doi:10.3390/s19040762 [IF: 2.475]

2018:

  1. Srivastava, P.K., G.P. Petropoulos, M. Gupta, S.K. Singh, T. Islam & D. Loka (2019): Deriving Forest Fire Probability Maps From the Fusion of Visible/Infrared Satellite Data and Geospatial Data Mining. Modeling Earth Systems and Environment, [in press]. DOI 10.1007/s40808-018-0555-5
  2. Brown, R.A, G. P. Petropoulos& K. Ferentinos (2018): Appraisal of the Sentinel-1 & 2 use in a large-scale wildfire assessment: A case study from Portugal’s fires of 2017. Applied Geography, 100, 78-89 [IF: 3.117]
  3. Amos, C, G.P. Petropoulos & K. P. Feredinos (2018): Determining the use of sentinel-2A MSI for wildfire burning and severity detection. International Journal of Remote Sensing, in press [IF: 1.782]
  4. Petropoulos, G.P., P.K. Srivastava, K.P. Feredinos & D. Hristopoulos (2018): Evaluating the capabilities of optical/TIR imagine sensing systems for quantifying soil water content. Geocarto Internationnal, in press [1.759]
  5. Banerjee, R., P.K. Srivastava, A.W.G. Pike & G. P. Petropoulos (2018): Identification of painted rock-shelter sites using GIS integrated with a Decision Support system and Fuzzy Logic. International Journal of Geo-Information, 7, 326-386, doi:10.3390/ijgi7080326 [IF: 1.723].
  6. Evans, A., S. Lamine, D. Kalivas & G.P. Petropoulos (2018): Exploring the Potential of EO data and GIS for Ecosystem Health Modelling in Response to Wildfire: a Case Study in Central Greece. Environmental Engineering & Management. [in press], [IF: 1.096]
  7. Markogianni, V., D. Kalivas, G. P. Petropoulos & E. Dimitriou (2018): An Appraisal of the Potential of Landsat 8 in Estimating Chlorophyll-a, Ammonium Concentrations and Other Water Quality Indicators. Remote Sensing MDPI,10, 1-22, doi:10.3390/rs10071018 [IF: 3.406]
  8. Colson, D., G.P. Petropoulos & K. Ferentinos (2018): Exploring the Potential of Sentinels-1 & 2 of the Copernicus Mission in Support of Rapid and Cost-effective Wildfire Assessment. International Journal of Applied Earth Observation & Geoinformation, 73, 262-276, doi.org/10.1016/j.jag.2018.06.011 [IF: 3.930]
  9. Bao, Y., L. Lin, S. Wu, K.A.K. Deng & G.P. Petropoulos (2018): Surface Soil Moisture Retrievals Over Partially Vegetated Areas From the Synergy of Sentinel-1 & Landsat 8 Data Using a Modified Water-Cloud Model. International Journal of Applied earth Observation & Geoinformation, 72, 76-85, /doi.org/10.1016/j.jag.2018.05.026 [IF: 4.003]
  10. Whyte, A., K. Fredinos & G.P. Petropoulos (2018): A New Synergistic Approach for Monitoring Wetlands Using Sentinels -1 and 2 data With Object-based Machine Learning Algorithms. Environmental Modelling & Software, 104, 40-57, doi.org/10.1016/j.envsoft.2018.01.023 [IF:4.177].
  11. Petropoulos, G.P., P.K. Srivastava, M. Piles & S. Pearson (2018): EO-based Operational Estimation of Soil Moisture and Evapotranspiration for Agricultural Crops in Support of Sustainable Water Management. Sustainability MDPI, 10, 181-1-20, doi:10.3390/su10010181 [IF: 2.075]
  12. Lamine, S. G.P. Petropoulos, S.K. Singh, S. Szabo, N Bachari, P.K. Srivastava & S. Suman (2018): Quantifying Land Use/land Cover Spatio-temporal Landscape Pattern Dynamics from Hyperion Using SVMs Classifier and FRAGSTATS. Geocarto International, 33:8, 862-878, doi.org/10.1080/10106049.2017.1307460 [IF: 1.370]

2017:

  1. Chatziantoniou, A. G.P. Petropoulos & E. Psomiadis (2017): Co-Orbital Sentinel 1 and 2 for LULC Mapping with Emphasis on Wetlands in a Mediterranean Setting Based on Machine Learning. Remote Sensing, 9, pp: 1-18, doi.org/10.1080/10106049.2017.1307460 [IF: 3.244]
  2. Anagnostopoulos, V. & Petropoulos, G.P. (2017): A Modernized Version of a 1D Soil Vegetation Atmosphere Transfer model for Use in Land Surface Interactions Studies. Environmental Modelling & Software, 90 pp. 147-156. doi.org/10.1016/j.envsoft.2017.01.004 [ IF: 4.207]
  3. Srivastava, P.K., T. Islam, G.P. Petropoulos & M. Gupta (2017): WRF-RDM: Prognostic Approach for Discharge Prediction in Ungauged Catchment. European Water, 75, pp: 129-132, [IF: 1.325]
  4. Petropoulos, G.P. & Jon P. McCalmont (2017): An Operational In-situ Soil Moisture and Soil Temperature Monitoring Network for West Wales, UK: The WSMN network. Sensors,17, pp:1481-1491, doi:10.3390/s17071481 [IF: 2.475]
  5. Srivastava, P.K., D. Han, A. Yaduvanshi, G. P. Petropoulos, S. K. Singh, R. K. Mall & R. Prasad (2017): Reference Evapotranspiration Retrievals From a Mesoscale Model Based Weather Variables for Soil Moisture Deficit Estimation. Sustainability, 9, 1971-88, doi:10.3390/su9111971 [IF: 1.789]

2016:

  1. Srivastava, P.K., T. Islam, S. K. Singh, G.P. Petropoulos, M. Gupta & Q. Dai (2016): Arabian Sea Level Rise Forecasting Using Exponential Smoothing State Space Models and ARIMA using TOPEX and Jason Satellite Radar Altimeter Data. Meteorological Applications, [IF: 1.852]
  2. Islam, T., P.K. Srivastava, G.P. Petropoulos (2016): Uncertainty Quantification in the Infrared Surface Emissivity Model (ISEM). Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 9 (12), 5888-5892, doi: 10.1109/JSTARS.2016.2557303 [IF: 3.026]
  3. Islam, T., P.K. Srivastava, D. Kumar, G.P. Petropoulos, Q. Dai & L. Zhuo (2016): Satellite Radiance Assimilation Using a 3DVAR Assimilation System for Hurricane Sandy Forecasts. Natural Hazards, doi: 10.1007/s11069-016-2221-4. [IF: 1.719]
  4. Karamesouti, M., G.P. Petropoulos, I.D. Papanikolaou, O. Kairis & K. Kosmas (2016): An Evaluation of the PESERA and RUSLE in Predicting Erosion Rates at a Mediterranean Site Before and After a Wildfire: Comparison & implications. Geoderma, 261, pp:44-58, doi:org/10.1016/j.geoderma.2015.06.02. [IF: 2.509]
  5. Petropoulos, G.P., G. Ireland, S. Lamine, N. Ghilain, V. Anagnostopoulos, M.R. North, P.K. Srivastava & H. Georgopoulou (2016): Evapotranspiration Estimates from SEVIRI to Support Sustainable Water Management. Journal of Applied Earth Observation & Geoinformation, 49, 175-187, doi.org/10.1016/j.jag.2016.02.006 [IF: 3.470]
  6. Islam, T., Srivastava, P. K., Petropoulos, G.P., Singh, S.K., (2016): Reduced Major Axis Approach for Correcting GPM/GMI Radiometric Biases to Coincide With Radiative Transfer Simulation. Journal of Quantitative Spectroscopy and Radiative Transfer, 168, pp:40-45, doi: doi.org/10.1016/j.jqsrt.2015.08.016. [IF: 2.645]
  7. Petropoulos, G.P. & V. Anagnostopoulos (2016): SEVIRI PrePro: A Novel Software Tool for the Pre-processing of SEVIRI Geostationary Orbit EO Data Products. Environmental Modelling & Software, doi.org/10.1016/j.envsoft.2016.03.015 [in press], [IF: 4.420]
  8. Srivastava, P.K., Han, D., Islam, T., Petropoulos,G.P., Gupta, M. & Q. Dai (2016): Seasonal evaluation of Evapotranspiration fluxes from MODIS Satellite and Mesoscale Model Downscaled Global Reanalysis Datasets. Theoretical and Applied Climatology, pages 1-14, DOI 10.1007/s00704-015-1430-1 [IF: 3.709]
  9. Piles, M., G.P. Petropoulos, N. Sanchez, A. González-Zamora & G. Ireland (2016): Towards Improved Spatio-Temporal Resolution Soil Moisture Retrievals From the Synergy of SMOS & MSG SEVIRI Spaceborne Observations. Remote Sensing of Environment, 180, pp:403-471, doi.org/10.1016/j.rse.2016.02.048 [IF: 6.397]
  10. Singh, S.K., P.K. Srivastava, S. Szabo, G.P. Petropoulos, M. Gupta & T. Islam (2016): Landscape Transform and Spatial Metrics for Mapping Spatiotemporal Land Cover Dynamics Using Earth Observation Datasets. Geocarto International, 2016, pp1-16, doi:10.1080/10106049.2015.1130084 [IF: 1.370]

2015:

  1. Ireland, G., G.P. Petropoulos, T.N. Carlson & S. Purdy (2015): Addressing the Ability of a Land Biosphere Model to Predict Key Biophysical Vegetation Characterisation Parameters With Global Sensitivity Analysis. Environmental Modelling & Software, 65, 94-107, doi.org/10.1016/j.envsoft.2014.11.010 [IF: 4.420]
  2. North, M. R., Petropoulos, G.P., Rentall, D.V., Ireland, G.I. & J.P. McCalmont (2015): Appraising the capability of a land biosphere model as a tool in modelling land surface interactions: results from its validation at selected European ecosystems. Earth Surface Dynamics Discussions, 6, pp:217-265, DOI: doi:10.5194/esdd-6-217-2015 [IF: 2.771]
  3. Petropoulos, G.P., G. Ireland & P.K. Srivastava (2015): Evaluation of the Soil Moisture Operational Estimates from SMOS in Europe: Results Over Diverse Ecosystems. IEEE Sensors, DOI:: 10.1109/JSEN.2015.2427657 [IF: 1.852]
  4. Ireland, G., Volpi, M. & G.P., Petropoulos (2015): Examining the Capability of Supervised Machine Learning Classifiers in Extracting Flooded Areas from Landsat TM Imagery: A Case Study from a Mediterranean Flood. Remote Sensing 7, 3372-3399; doi:10.3390/rs70303372 [IF: 3.180]
  5. Ireland, G. & G.P. Petropoulos (2015): Exploring the Relationships Between Post-fire Vegetation Regeneration Dynamics, Topography and Burn Severity: a case study from the Montane Cordillera Ecozones of Western Canada. Applied Geography, 56, 232-248, doi.org/10.1016/j.apgeog.2014.11.016 [IF: 2.494]
  6. Petropoulos, G.P., G. Ireland H. Griffiths, M.C. Kennedy, P. Ioannou-Katidis, & D.K. P. Kalivas (2015): Extending the Global Sensitivity Analysis of the SimSphere model in the Context of its Future Exploitation by the Scientific Community. Water MDPI, 7, 2101-2141. DOI: 10.3390/w7052101 [IF: 1.428]
  7. Petropoulos, G.P., G. Ireland, A. Cass & P.K. Srivastava (2015): Performance Assessment of the SEVIRI Evapotranspiration Operational Product: Results Over Diverse Mediterranean Ecosystems. IEEE Sensors, [in press], DOI 10.1109/JSEN.2015.2390031 [IF: 1.852]
  8. Petropoulos, G.P., D.P. Kalivas, H.M. Griffiths & P. Dimou (2015): Remote Sensing and GIS analysis for Mapping Spatio-temporal Changes of Erosion and Deposition of two Mediterranean River Deltas: The Case of the Axios and Aliakmonas Rivers, Greece. International Journal of Applied Earth Observation & Geoinformation, 35, 217-228, doi: 10.1016/j.jag.2014.08.004 [IF: 3.470]
  9. Petropoulos, G.P., Ireland, G. & B. Barrett (2015): Surface Soil Moisture Retrievals from Remote Sensing: Current Status, Products & Future Trends. Physics and Chemistry of the Earth. DOI: 10.1016/j.pce.2015.02.009. [IF: 1.477]
  10. Islam, T., P.K. Srivastava, G.P. Petropoulos & S. Singh (2015): Variational Bayes and the Principal Component Analysis Coupled With Bayesian Regulation Back Propagation Network to Retrieve Total Precipitable Water (TPW) From GCOM-W1/AMSR2. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8 (10), pp: 4819-4824, doi: 10.1109/JSTARS.2015.2447532. [IF: 3.026]
  11. Srivastava, P. K., G.P. Petropoulos, M. Gupta, S. K. Singhe & S. Mukherjeef (2015): WRF Dynamical Downscaling and Bias Correction Schemes for NCEP Estimated Hydro-meteorological Variables. Water Resources Management. DOI: 10.1007/s11269-015-0940-z [IF: 2.600]
  12. Said, Y.A, G.P. Petropoulos & P.K. Srivastava (2015): Assessing the Influence of Atmospheric and Topographic Correction on Burnt Scars Identification from High Resolution. Natural Hazards, DOI 10.1007/s11069-015-1792-9 [IF: 1.719]
  13. Petropoulos, G.P., North, M. R., Ireland, G., Srivastava, P.K., & D.V., Rendall (2015): Quantifying the Prediction Accuracy of a 1-D SVAT Model at a Range of Ecosystems in the USA and Australia: Evidence Towards its Use as a Tool to Study Earth’s System Interactions. Geoscientific Models Development, DOI: 10.5194/gmdd-8-2437-2015. [IF: 6.081]
  14. Petropoulos, G.P., D.P. Kalivas, H. Georgopoulou, & P.K. Srivastava (2015): Urban Vegetation Cover Extraction from Hyperspectral Remote Sensing Imagery & GIS Spatial Analysis Techniques: the Case of Athens, Greece. Journal of Applied Remote Sensing, 9, 1-18, 0091-3286/2015. [IF: 1.183]

2014:

  1. Petropoulos, G.P., G. Ireland, P.K. Srivastava & P. Ioannou-Katidis (2014): An Appraisal of Soil Moisture Operational Estimates Accuracy From SMOS MIRAS Using Validated In-situ Observations Acquired at a Mediterranean Environment. International Journal of Remote Sensing, 35 (13), 5239-5250, doi: 10.1080/2150704X.2014.933277. [IF: 1.652]
  2. Petropoulos, G.P., H.M. Griffiths & D. Kalivas (2014): Quantifying Spatial and Temporal Vegetation Recovery Dynamics Following a Wildfire Event in a Mediterranean Landscape Using EO Data and GIS. Applied Geography, 50, 120-131, doi: 10.1016/j.apgeog.2014.02.006. [IF: 2.565]
  3. Scott, D., Petropoulos, G.P., Moxley, J & H. Malcolm (2014): Quantifying the Physical Composition of Urban Morphology Throughout Wales Based on the Time Series (1989-2011) Analysis of Landsat TM/ETM+ Images and Supporting GIS data. Remote Sensing, 6, 11731-11752; doi:10.3390/rs61211731 [IF: 3.180]
  4. Petropoulos, G.P., H.M. Griffiths, T.N. Carlson, P. Ioannou-Katidis & T. Holt (2014): SimSphere Model Sensitivity Analysis Towards Establishing its Use for Deriving Key Parameters Characterising Land Surface Interactions. Geoscientific Model Development, 7, 1873-1887, doi: 10.5194/gmd-7-1873-2014. [IF: 6.086]

2013:

  1. Henke, J. & G.P. Petropoulos (2013): A GIS-based Exploration of the Relationships Between Human Health, Social Deprivation and Ecosystem Services for Wales, UK. Applied Geography, 45, 77-88, doi: http://dx.doi.org/10.1016/j.envsoft.2013.07.010. [IF: 2.494]
  2. Petropoulos, G.P., H.M Griffiths & S. Tarantola (2013): Sensitivity Analysis of the SimSphere SVAT Model in the Context of EO-based Operational Products Development. Environmental Modelling and Software, 49, 166-179, doi: /10.1016/j.envsoft.2013.07.010. [IF: 4.420]
  3. Kalivas, D., Petropoulos, G.P., Athanasiou, I. & V. Kollias (2013): An Intercomparison of Burnt Area Estimates Derived From Key Operational Products: Analysis of Greek Wildland Fires 2005-2007. Non-linear Processes in Geophysics, 20, 1-13, doi: 10.5194/npg-20-1-2013. [IF: 1.692]
  4. Petropoulos, G.P., Partsinevelos, P. & Z. Mitraka (2013): Change Detection of Surface Mining Activity and Reclamation Based on a Machine Learning Approach of Multi-temporal Landsat TM Imagery. Geocarto International, 1-20, doi: DOI:10.1080/10106049.2012.706648. [IF: 0.897]
  5. Volpi, M., G.P. Petropoulos & M. Kanevski (2013): Flooding Extent Cartography With Landsat TM Imagery and Regularized Kernel Fisher's Discriminant Analysis. Computers and Geosciences, 57, 24-31, doi: 10.1016/j.cageo.2013.03.009. [IF: 2.054]

2012:

  1. Elatawneh, A., C. Kalaitzidis, Petropoulos, G.P. & T. Schneider (2012): Evaluation of Diverse Classification Approaches for Land Use/Cover Mapping in a Mediterranean Region Utilizing Hyperion Data. International Journal of Digital Earth, 1-23, doi: 10.1080/17538947.2012.671378. [IF: 3.291]
  2. Petropoulos, G.P., K. Arvanitis & N. Sigrimis (2012): Hyperion Hyperspectral Imagery Analysis Combined With Machine Learning Classifiers for Land Use/Cover Mapping. Expert Systems with Applications, 39, 3800-3809, doi:10.1016/j.eswa.2011.09.083. [IF: 2.240]
  3. Petropoulos, G.P., C. C. Kontoes &. I. Keramitsoglou (2012): Land Cover Mapping With Emphasis to Burnt Area Delineation Using Co-orbital ALI and Landsat TM Imagery. International Journal of Applied Earth Observation and Geoinformation, 18, 344-355, doi: 10.1016/j.jag.2012.02.004. [IF: 3.470]
  4. Petropoulos, G.P., K. P. Vadrevu & C. Kalaitzidis (2012): Spectral Angle Mapper and Object-based classification Combined With Hyperspectral Remote Sensing Imagery for Obtaining Land use/cover Mapping in a Mediterranean region. Geocarto International, 28 (2), pp 1-16, doi: 10.1080/10106049.2012.668950. [IF: 0.897]
  5. Manevski, K., Manakos, I., Petropoulos, G.P. & C. Kalaitzidis (2012): Spectral Discrimination of Mediterranean Maquis and Phrygana Vegetation: Results From a Case Study in Greece. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5 (2), 604-616, doi: 10.1109/JSTARS.2012.2190044. [IF: 3.026]
  6. Petropoulos, G.P., C. Kalaitzidis & K. P. Vadrevu (2012): Support Vector Machines and Object-Based Classification for Obtaining Land Use/Cover Cartography from Hyperion Hyperspectral Imagery. Computers and Geosciences, 41, 99-107, doi:10.1016/j.cageo.2011.08.019. [IF: 2.054]

2011:

  1. Pediaditi, K., M. Stanojevic, C. Kouskouna, M. Karydas, D. Zianis, G. P. Petropoulos, & N. Boretos (2011): A Decision Support System for Assessing and Managing Environment Risk Cross Borders. Earth Science Informatics, 4, 107-115, doi:10.1007/s12145-011-0081-8. [IF: 0.743]
  2. Pediaditi, K., F., Buono, Petropoulos, G.P., C., Bogliotti, E., Nurlu, G., Ladisa, & F., Pompigna (2011). A Decision Support System-based Procedure for the Evaluation and Monitoring of Protected Areas Sustainability for the Mediterranean Region. Earth Systems Science, 120 (5), 949-961. [IF: 1.040]
  3. Petropoulos, G.P, C. Kontoes & I. Keramitsoglou (2011): Burnt Area Delineation From a Uni-temporal Perspective Based on Landsat TM Imagery Classification Using Support Vector Machines. International Journal of Applied Earth Observation and Geoinformation, vol 13, pp. 70-80, doi:10.1016/j.jag.2010.06.008. [IF: 3.470]
  4. Knorr, W., I. Pytharoulis, G.P. Petropoulos & N. Gobron (2011): Combined Use of Weather Forecasting and Satellite Remote Sensing Information for Fire Risk, fire and fire impact monitoring. Computational Ecology and Software, 1 (2), 112-120.
  5. Manevski, K., I. Manakos, Petropoulos, G.P. &C. Kalaitzidis (2011): Discrimination of Common Mediterranean Plant Species Using Field Spectroradiometry. International Journal of Applied Earth Observation and Geoinformation, 13, 922-933, doi:10.1016/j.jag.2011.07.001. [IF: 3.470]

2010:

  1. Ganas, A., Lagios, E., Petropoulos, G. & B., Psiloglou (2010): Thermal Imagine of Nissyros Volcano (Aegean Sea) using ASTER data: Estimation of Heat Flux. International Journal of Remote Sensing, 31 (15), 4033-4047, doi: 10.1080/01431160903140837. [IF: 1.652]
  2. Petropoulos, G., K.P. Vadrevu, G. Xanthopoulos, G., Karantounias & M. Scholze (2010): A Comparison of Spectral Angle Mapper and Artificial Neural Network Classifiers Combined With Landsat TM Imagery Analysis for Obtaining Burnt Area Mapping. Sensors, 10, 1967-1985, doi:10.3390/s100301967. [IF: 2.245]
  3. Petropoulos, G., W. Knorr, M. Scholze, L. Boschetti & G., Karantounias (2010): Combining ASTER Multispectral Imagery Analysis and Support Vector Machines for Rapid and Cost-Effective Post-Fire Assessment: A Case Study From the Greek Fires of 2007. Natural Hazards and Earth Systems Science, 10, 305-317, doi:10.5194/nhess-10-305-2010. [IF: 1.735]

2009:

  1. Petropoulos, G., Wooster, M. J., M. Kennedy, Carlson, T.N. & M. Scholze (2009c): A Global Sensitivity Analysis Study of the 1d SimSphere SVAT Model Using the GEM SA Software. Ecological Modelling, 220 (19), 2427-2440, doi:10.1016/j.ecolmodel.2009.06.006. [IF: 2.321]
  2. Petropoulos, G., Carlson, T.N, Wooster, M. J. & S., Islam (2009): A Review of Ts/VI Remote Sensing Based Methods for the Retrieval of Land Surface Fluxes and Soil Surface Moisture Content. Progress in Physical Geography, 33 (2), 1-27. [IF: 2.612]
  3. Petropoulos, G., Carlson, T.N. & M. J., Wooster (2009): An Overview of the Use of the SimSphere Soil Vegetation Atmosphere Transfer (SVAT) Model for the Study of Land-Atmosphere Interactions. Sensors, 2009, 9(6), 4286-4308, doi:10.3390/s90604286. [IF: 2.245]
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DIRECTORATE GENERAL AGRICULTURAL RESEARCH INSTITUTE OF INDUSTRIAL PLANTS AND LIVESTOCK

  • Address : 1, Theofrastou str. – P.C 41335 LARISSA
  • Email : gramateia@nagref.gr
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Institute of Industrial & Forage Plants

Some of the main objectives of the Hellenic Agricultural Organization DEMETER is the development or/and support of actions that aim to modernize and develop the agricultural sector of the country, the improvement of the productive procedures, the reinforcement of the competiveness.
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