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Contributions to Edited Books

2022:​

  1. Tselka I., Detsikas S.E., G. P. Petropoulos, Demertzi, I. I. (2022), Google Earth Engine and Machine learning classifiers for obtaining burnt area cartography: a case study from a Mediterranean setting,  Chapter x,, pp: xx-xx, In: Geoinformatics for Geosciences. Advanced Geospatial Analysis using RS, GIS and Soft Computing, Publisher Elsevier, [accepted]

  2. Demertzi, I. I., Detsikas , S.E., Tselka ,I. , Petropoulos ,G.P.and Karymbalis , E. (2022): Deposition and erosion dynamics in Axios and Aliakmonas river deltas (Greece) with the use of Google Earth Engine and geospatial analysis tools, Chapter x, pp: xx-xx, In: Geoinformatics for Geosciences. Advanced Geospatial Analysis using RS, GIS and Soft Computing, Publisher Elsevier [accepted]

  3. Detsikas S.E., .G. P. Petropoulos, Lekka C., Faraslis I., (2022). Combining low-cost UAV imagery and machine learning to map land use/cover properties in a Mediterranean agricultural site., Chapter x, pp: xx-xx, In: “Remote Sensing in Precision Agriculture”. Publisher Elsevier, [accepted]

  4. Suman, S., P.K. Srivastava, G. P. Petropoulos, R. Avtar, R. Prasad, S. K. Singh, S. Mustak & I. Faraslis (2022):  Performance assessment of Phased Array type L-band Synthetic Aperture Radar and Landsat-8 used in image classification, Chapter X, pp: xx-xx, in book entitled “Radar Remote Sensing: Application and Challenges”, edited by P.K. Srivastava & D. K. Gupta, Elsevier, ISBN: 9780128234570

  5. Papafilippaki, A., G. Stavroulakis & G.P. Petropoulos (2021): Geoinformation technologies in pest Management: mapping olive fruit fly population in olive trees. Chapter xx, in book entitled “Information and Communication Technologies for Agriculture—Theme I: Sensors”, published by Springer, USA, edited by Bochtis, D. D., V. Moysiadis, G. P. Petropoulos, Y. Ampatzidis & P.M. Pardalos [accepted]

  6. Sandric, I., R. Irimia, G. P. Petropoulos, D. Stateras, D. Kalivas & A. Plesoianu (2021): Drone Imagery in support of orchards trees vegetation assessment based on spectral indices and deep learning. Chapter xx, in book entitled “Information and Communication Technologies for Agriculture—Theme I: Sensors”, published by Springer, USA, edited by Bochtis, D. D., V. Moysiadis, G. P. Petropoulos, Y. Ampatzidis & P.M. Pardalos [accepted]

 
​2021:​

  1. Suman, S., P.K. Srivastava, G. P. Petropoulos, R. Avtar, R. Prasad, S. K. Singh, S. Mustak & I. Faraslis (2021):  Performance assessment of Phased Array type L-band Synthetic Aperture Radar and Landsat-8 used in image classification, Chapter X, pp: xx-xx, in book entitled “Radar Remote Sensing: Application and Challenges”, edited by P.K. Srivastava & D. K. Gupta, Elsevier, ISBN: 9780128234570 [chapter accepted, book publication progress and expected to be published end of 2021]

  2. Papafilippaki, A., G. Stavroulakis & G.P. Petropoulos (2021): Geoinformation technologies in pest Management: mapping olive fruit fly population in olive trees. Chapter xx, in book entitled “Information and Communication Technologies for Agriculture—Theme I: Sensors”, published by Springer, USA, edited by Bochtis, D. D., V. Moysiadis, G. P. Petropoulos, Y. Ampatzidis & P.M. Pardalos [chapter accepted, book publication progress and expected to be published end of 2021]

  3. Sandric, I., R. Irimia, G. P. Petropoulos, D. Stateras, D. Kalivas & A. Plesoianu (2021): Drone Imagery in support of orchards trees vegetation assessment based on spectral indices and deep learning. Chapter xx, in book entitled “Information and Communication Technologies for Agriculture—Theme I: Sensors”, published by Springer, USA, edited by Bochtis, D. D., V. Moysiadis, G. P. Petropoulos, Y. Ampatzidis & P.M. Pardalos [chapter accepted, book publication progress and expected to be published end of 2021]

  4. Lamptey, P. N. L., G.P.  Petropoulos & P. K. Srivastava (2020): SMOS L4 downscaled soil moisture product evaluation over a 2 year period in a Mediterranean setting. Chapter 8, pp: 82-96 in book entitled “Advances in Remote Sensing for Natural Resource Monitoring”, edited by P. C. Pandey & L. K. Sharma, by Wiley, ISBN: 978-1119615972

  5. Kumar, A., S. KMumar, P. L P. Saikia, P.K. Srivastava & G. P. Petropoulos (2021): Introduction to GPS/GNSS technology, Chapter 1, pp: 3-20, in book entitled GPS and GNSS Technology in Geosciences, edited by G. P. Petropoulos & P. K. Srivastava, Elsevier, ISBN: 9780128186176.

  6. Vidalis-Kelagiannis, M., K. Kalogeropoulos, N./ Stathopoulos, G. P. Petropoulos, A. Tsatsaris & C. Chalkias (2021): GNSS & UAV in archaeology: high-resolution mapping in Cephalonia Island, Greece, Chapter 18, pp: 371-388, in book entitled GPS and GNSS Technology in Geosciences, edited by G. P. Petropoulos & P. K. Srivastava, Elsevier, ISBN: 9780128186176.

  7. Pandey, M. K., P. K. Srivastava & G.P. Petropoulos (2021): Future pathway for research and emerging applications in GPS/GNSS, Chapter 21, pp:429-436, in book entitled GPS and GNSS Technology in Geosciences. edited by G. P. Petropoulos & P. K. Srivastava, Elsevier, ISBN: 9780128186176,

  8. Suman, S., P. K. Srivastava, G. P. Petropoulos, R. Avtar, R. Prasad, S K. Singh, SK. Mustak & I. N. Faraslis (2021): Performance assessment of Phased Array type L-band Synthetic Aperture Radar and Landsat-8 used in image classification, Chapter xx, to appear in  Radar Remote Sensing: Application and Challenges”, edited by P. K. Srivastava, D. K. Gupta, R.Prasad, T. Islam &  D. Han, Elsevier Inc, ISBN: 9780128234570 [chapter accepted, book in press].

  9. Petropoulos, G.P., I. Sandric, A. Pavlides & D. T. Hristopulos (2021): A preliminary evalation of the “simplified triangle” with Sentinel-3 images for mapping surface soil moisture and evaporative fluxes: results obtained in a Spanish savannah environment, pp: 209-226, in “Agricultural Water Management”, published by Elsevier, USA”, Edited by M. Gupta, P. K. Srivastava, G. Tsakiris & N. Quinn, 9780128123621, Elsevier

  10. Suman, S., M.R. North, G.P. Petropoulos, P. K. Srivastava, D. Hristopulos, D. S. Fuzzo, S. Lamine, & T.N. Carlson (2021): Modelling Key Parameters Characterising Land Surface in 1D Space Using the SimSphere SVAT Model: Findings From its Use at European Ecosystems. Chapter 20, pp:409-444, in “Agricultural Water Management”, published by Elsevier, USA”, Edited by M. Gupta, P. K. Srivastava, G. Tsakiris & N. Quinn, 9780128123621, Elsevier

​

2020:​

  1. Lamine, S. M.K. Pandey, poulos, P. A. Brewer, P. K. srivastava, K. Manevski, L. Toulios, N. I. Bachari (2020): Spectroradiometry as a tool for monitoring soil contamination by heavy metals in a floodplain site, pp: 249-268, in Hyperspectral Remote Sensing: Theory & Applications, edited by Pandey, P.C., P.K. Srivastava, B. Bhattacgarya & G.P. Petropoulos (2020): Elsevier, ISBN: 978-0-08-102894-0

  2. Pandey, P. C., H. Balzter, P.K. Srivastava, & B. Bhattacharya (2020): Future perspectives and challenges in hyperspectral remote sensing, pp: 429-440, in Hyperspectral Remote Sensing: Theory & Applications, edited by Pandey, P.C., P.K. Srivastava, B. Bhattacgarya & G.P. Petropoulos (2020): Elsevier, ISBN: 978-0-08-102894-0

  3. Petropoulos, G.P., I. Sandric, A. Pavlides & D. T. Hristopulos (2020): A preliminary evalation of the “simplified triangle” with Sentinel-3 images for mapping surface soil moisture and evaporative fluxes: results obtained in a Spanish savannah environment, pp: 209-226, in “Agricultural Water Management”, published by Elsevier, USA”, Edited by M. Gupta, P. K. Srivastava, G. Tsakiris & N. Quinn, 9780128123621, Elsevier

  4. Singh, P. P. C. Pandey, , A. Pavlidies, P.K. srivastava, N. Koutsias, K.A. K. Deng & Y. Bao (2020): Hyperspectral remote sensing in precision agriculture: present status, challenges and future trends, pp: 121-144, in Hyperspectral Remote Sensing: Theory & Applications, edited by Pandey, P.C., P.K. Srivastava, B. Bhattacgarya & G.P. Petropoulos (2020): Elsevier, ISBN: 978-0-08-102894-0

  5. Suman, S., M.R. North, P. K. Srivastava, D. Hristopulos, D. S. Fuzzo, S. Lamine, & T.N. Carlson (2018): Modelling Key Parameters Characterising Land Surface in 1D Space Using the SimSphere SVAT Model: Findings From its Use at European Ecosystems. Chapter 20, pp:409-444, in “Agricultural Water Management”, published by Elsevier, USA”, Edited by M. Gupta, P. K. Srivastava, G. Tsakiris & N. Quinn, 9780128123621, Elsevier

 
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]

 
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]. 

  3. Pandey, 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 8, pp: 147-173, in “Hyperspectral Remote Sensing of Vegetation" (Second Edition, Four Volume-Set). Volume IV Title: Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation.  Publisher: CRC Press- Taylor and Francis group, Boca Raton, London, New York.  Pp. 386. Hardback: 9781138364769; eBook ID: 9780429431166

​

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].

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