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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLII-2/W10
https://doi.org/10.5194/isprs-archives-XLII-2-W10-175-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLII-2-W10-175-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
17 Apr 2019
| 17 Apr 2019
PRECISION POTENTIAL OF UNDERWATER NETWORKS FOR ARCHAEOLOGICAL EXCAVATION THROUGH TRILATERATION AND PHOTOGRAMMETRY
D. Skarlatos
Civil Engineering and Geomatics Department, Cyprus University of Technology (CUT), 3036 Limassol, Cyprus
F. Menna
COMEX SA – Innovation Department, COMEX, 36 bd de l'Océan - CS 80143 - 13275 Marseille, France
3D Optical Metrology unit, Bruno Kessler Foundation (FBK), 38123 Trento, Italy
E. Nocerino
Aix-Marseille Université, CNRS, ENSAM, Université De Toulon, LIS UMR 7020, Domaine Universitaire de Saint-Jérôme, Bâtiment Polytech, Avenue Escadrille Normandie-Niemen, 13397, Marseille, France
Institute of Theoretical Physics, ETH Zurich, 8093 Zurich, Switzerland
P. Agrafiotis
Civil Engineering and Geomatics Department, Cyprus University of Technology (CUT), 3036 Limassol, Cyprus
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 759–766, https://doi.org/10.5194/isprs-archives-XLII-2-759-2018, https://doi.org/10.5194/isprs-archives-XLII-2-759-2018, 2018
E. Nocerino, D. H. Rieke-Zapp, E. Trinkl, R. Rosenbauer, E. M. Farella, D. Morabito, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 773–780, https://doi.org/10.5194/isprs-archives-XLII-2-773-2018, https://doi.org/10.5194/isprs-archives-XLII-2-773-2018, 2018
P. Piazza, V. Cummings, D. Lohrer, S. Marini, P. Marriott, F. Menna, E. Nocerino, A. Peirano, and S. Schiaparelli
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 885–892, https://doi.org/10.5194/isprs-archives-XLII-2-885-2018, https://doi.org/10.5194/isprs-archives-XLII-2-885-2018, 2018
Y. Tefera, F. Poiesi, D. Morabito, F. Remondino, E. Nocerino, and P. Chippendale
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1097–1103, https://doi.org/10.5194/isprs-archives-XLII-2-1097-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1097-2018, 2018
D. Skarlatos and M. Vlachos
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 255–262, https://doi.org/10.5194/isprs-annals-IV-2-255-2018, https://doi.org/10.5194/isprs-annals-IV-2-255-2018, 2018
E. Nocerino, F. Poiesi, A. Locher, Y. T. Tefera, F. Remondino, P. Chippendale, and L. Van Gool
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 187–194, https://doi.org/10.5194/isprs-archives-XLII-2-W8-187-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W8-187-2017, 2017
D. Skarlatos and V. Vamvakousis
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 249–255, https://doi.org/10.5194/isprs-archives-XLII-2-W8-249-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W8-249-2017, 2017
F. Menna, E. Nocerino, D. Morabito, E. M. Farella, M. Perini, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 155–162, https://doi.org/10.5194/isprs-archives-XLII-2-W8-155-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W8-155-2017, 2017
E. Nocerino, M. Dubbini, F. Menna, F. Remondino, M. Gattelli, and D. Covi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 149–156, https://doi.org/10.5194/isprs-archives-XLII-3-W3-149-2017, https://doi.org/10.5194/isprs-archives-XLII-3-W3-149-2017, 2017
F. Remondino, E. Nocerino, I. Toschi, and F. Menna
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W5, 591–599, https://doi.org/10.5194/isprs-archives-XLII-2-W5-591-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W5-591-2017, 2017
E. Nocerino, F. Menna, D. Morabito, F. Remondino, I. Toschi, D. Abate, D. Ebolese, E. Farella, F. Fiorillo, S. Minto, P. Rodríguez-Gonzálvez, C. Slongo, and M. G. Speraj
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W2, 179–186, https://doi.org/10.5194/isprs-annals-IV-2-W2-179-2017, https://doi.org/10.5194/isprs-annals-IV-2-W2-179-2017, 2017
E. Nocerino, F. Menna, F. Remondino, S. Sarubbo, A. De Benedictis, F. Chioffi, V. Petralia, M. Barbareschi, E. Olivetti, and P. Avesani
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W4, 213–219, https://doi.org/10.5194/isprs-archives-XLII-2-W4-213-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W4-213-2017, 2017
E. Nocerino, F. Lago, D. Morabito, F. Remondino, L. Porzi, F. Poiesi, S. Rota Bulo, P. Chippendale, A. Locher, M. Havlena, L. Van Gool, M. Eder, A. Fötschl, A. Hilsmann, L. Kausch, and P. Eisert
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W3, 535–541, https://doi.org/10.5194/isprs-archives-XLII-2-W3-535-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W3-535-2017, 2017
Eleni Savvidou, Andreas Efstratiadis, Antonis D. Koussis, Antonis Koukouvinos, and Dimitrios Skarlatos
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-627, https://doi.org/10.5194/hess-2016-627, 2016
Manuscript not accepted for further review
Short summary
Short summary
A systematic framework for delineating Hydrological Response Units (HRUs) is proposed, based on a modified Curve Number (CN) approach that accounts, by means of classes, for the soil permeability, land cover, and drainage capacity of a river basin. The aim is to reduce the subjectivity introduced by HRUs and provide a parsimonious modelling scheme. Results showed optimal performance of the CN approach in calibration and particularly in validation, compared against alternative HRU approaches.
Andreas Georgiou and Dimitrios Skarlatos
Geosci. Instrum. Method. Data Syst., 5, 321–332, https://doi.org/10.5194/gi-5-321-2016, https://doi.org/10.5194/gi-5-321-2016, 2016
Short summary
Short summary
The objective of this paper is to present a general integrated framework to evaluate land suitability for the optimal placement of solar park, which is based on a combination of a GIS, remote sensing techniques, and multi-criteria decision-making methods. Innovative aspect derives from the proposed tool as currently implemented within a local GIS, which provides a versatile platform of analysis and semi-automation of the operations, which might also extended into full automation.
D. González-Aguilera, L. López-Fernández, P. Rodriguez-Gonzalvez, D. Guerrero, D. Hernandez-Lopez, F. Remondino, F. Menna, E. Nocerino, I. Toschi, A. Ballabeni, and M. Gaiani
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B6, 31–38, https://doi.org/10.5194/isprs-archives-XLI-B6-31-2016, https://doi.org/10.5194/isprs-archives-XLI-B6-31-2016, 2016
E. Nocerino, F. Remondino, F. Uccheddu, M. Gallo, and G. Gerosa
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 887–893, https://doi.org/10.5194/isprs-archives-XLI-B5-887-2016, https://doi.org/10.5194/isprs-archives-XLI-B5-887-2016, 2016
E. Nocerino, F. Menna, F. Remondino, J.-A. Beraldin, L. Cournoyer, and G. Reain
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 99–105, https://doi.org/10.5194/isprs-archives-XLI-B5-99-2016, https://doi.org/10.5194/isprs-archives-XLI-B5-99-2016, 2016
D. Skarlatos and S. Yiatros
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-5, 35–41, https://doi.org/10.5194/isprs-annals-III-5-35-2016, https://doi.org/10.5194/isprs-annals-III-5-35-2016, 2016
E. Nocerino, F. Menna, F. Fassi, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3-W4, 127–134, https://doi.org/10.5194/isprs-archives-XL-3-W4-127-2016, https://doi.org/10.5194/isprs-archives-XL-3-W4-127-2016, 2016
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
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