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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVIII-M-2-2023
https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-27-2023
© Author(s) 2023. 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-XLVIII-M-2-2023-27-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
24 Jun 2023
| 24 Jun 2023
GEOMATICS AND CIVIL ENGINEERING INNOVATIVE RESEARCH ON HERITAGE: INTRODUCING THE “ENGINEER” PROJECT
A. Agapiou
Cyprus University of Technology, Civil Engineering and Geomatics Dept., 2-6 Saripolou str., 3036, Limassol, Cyprus
Y. Aktas
University College London, Dept. of Civil, Environmental & Geomatic Engineering, 113 UCL Chadwick Building, Gower Street, London, United Kingdom
L. Barazzetti
Politechnic University of Milan, Department of Architecture, Built environment and Construction Engineering, Via Ponzio, 31, 20133 Milano, Italy
A. Costa
University of Aveiro, Department of Materials and Ceramic Engineering, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
B. Cuca
Politechnic University of Milan, Department of Architecture, Built environment and Construction Engineering, Via Ponzio, 31, 20133 Milano, Italy
D. D’Ayala
University College London, Dept. of Civil, Environmental & Geomatic Engineering, 113 UCL Chadwick Building, Gower Street, London, United Kingdom
N. Kyriakides
Cyprus University of Technology, Civil Engineering and Geomatics Dept., 2-6 Saripolou str., 3036, Limassol, Cyprus
P. Kyriakidis
Cyprus University of Technology, Civil Engineering and Geomatics Dept., 2-6 Saripolou str., 3036, Limassol, Cyprus
V. Lysandrou
Cyprus University of Technology, Civil Engineering and Geomatics Dept., 2-6 Saripolou str., 3036, Limassol, Cyprus
D. Oreni
Politechnic University of Milan, Department of Architecture, Built environment and Construction Engineering, Via Ponzio, 31, 20133 Milano, Italy
M. Previtali
Politechnic University of Milan, Department of Architecture, Built environment and Construction Engineering, Via Ponzio, 31, 20133 Milano, Italy
D. Skarlatos
Cyprus University of Technology, Civil Engineering and Geomatics Dept., 2-6 Saripolou str., 3036, Limassol, Cyprus
A. Tavares
University of Aveiro, Department of Materials and Ceramic Engineering, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
M. Vlachos
Cyprus University of Technology, Civil Engineering and Geomatics Dept., 2-6 Saripolou str., 3036, Limassol, Cyprus
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G. Bitelli, C. Balletti, R. Brumana, L. Barazzetti, M. G. D'Urso, F. Rinaudo, and G. Tucci
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 239–246, https://doi.org/10.5194/isprs-archives-XLII-2-W11-239-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-239-2019, 2019
R. Brumana, F. Banfi, L. Cantini, M. Previtali, and S. Della Torre
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 293–299, https://doi.org/10.5194/isprs-archives-XLII-2-W11-293-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-293-2019, 2019
R. Brumana, P. Condoleo, A. Grimoldi, and M. Previtali
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 301–308, https://doi.org/10.5194/isprs-archives-XLII-2-W11-301-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-301-2019, 2019
R. Brumana, M. Ioannides, and M. Previtali
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 309–316, https://doi.org/10.5194/isprs-archives-XLII-2-W11-309-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-309-2019, 2019
L. Cantini, M. Previtali, R. Moioli, and S. Della Torre
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 359–365, https://doi.org/10.5194/isprs-archives-XLII-2-W11-359-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-359-2019, 2019
L. Díaz-Vilariño, E. Frías, M. Previtali, M. Scaioni, and J. Balado
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 489–494, https://doi.org/10.5194/isprs-archives-XLII-2-W11-489-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-489-2019, 2019
G. Guarisco and D. Oreni
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 587–594, https://doi.org/10.5194/isprs-archives-XLII-2-W11-587-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-587-2019, 2019
M. P. Limongelli, M. Previtali, L. Cantini, S. Carosio, J. C. Matos, J. M. Isoird, H. Wenzel, and C. Pellegrino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 727–734, https://doi.org/10.5194/isprs-archives-XLII-2-W11-727-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-727-2019, 2019
P. Agrafiotis, D. Skarlatos, A. Georgopoulos, and K. Karantzalos
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W10, 9–16, https://doi.org/10.5194/isprs-archives-XLII-2-W10-9-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W10-9-2019, 2019
M. Doležal, M. Vlachos, M. Secci, S. Demesticha, D. Skarlatos, and F. Liarokapis
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W10, 85–91, https://doi.org/10.5194/isprs-archives-XLII-2-W10-85-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W10-85-2019, 2019
D. Skarlatos, F. Menna, E. Nocerino, and P. Agrafiotis
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W10, 175–180, https://doi.org/10.5194/isprs-archives-XLII-2-W10-175-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W10-175-2019, 2019
F. Banfi, M. Previtali, C. Stanga, and R. Brumana
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 73–80, https://doi.org/10.5194/isprs-archives-XLII-2-W9-73-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W9-73-2019, 2019
L. Barazzetti and M. Previtali
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 81–86, https://doi.org/10.5194/isprs-archives-XLII-2-W9-81-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W9-81-2019, 2019
L. Barazzetti, M. Previtali, F. Roncoroni, and R. Valente
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 87–92, https://doi.org/10.5194/isprs-archives-XLII-2-W9-87-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W9-87-2019, 2019
M. Previtali, L. Barazzetti, and F. Roncoroni
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 631–638, https://doi.org/10.5194/isprs-archives-XLII-2-W9-631-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W9-631-2019, 2019
R. Valente, L. Barazzetti, M. Previtali, and F. Roncoroni
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 731–737, https://doi.org/10.5194/isprs-archives-XLII-2-W9-731-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W9-731-2019, 2019
M. Vlachos, D. Skarlatos, and P. Bodin
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 755–761, https://doi.org/10.5194/isprs-archives-XLII-2-W9-755-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W9-755-2019, 2019
D. Wujanz, L. Barazzetti, M. Previtali, and M. Scaioni
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 779–786, https://doi.org/10.5194/isprs-archives-XLII-2-W9-779-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W9-779-2019, 2019
Evagoras Evagorou, Christodoulos Mettas, Athos Agapiou, Kyriacos Themistocleous, and Diofantos Hadjimitsis
Adv. Geosci., 45, 397–407, https://doi.org/10.5194/adgeo-45-397-2019, https://doi.org/10.5194/adgeo-45-397-2019, 2019
Short summary
Short summary
Freely and open distributed optical satellite images used to obtain bathymetric data for shallow waters based on timeseries analysis of multispectral Sentinel-2 datasets. The ratio transform algorithm was implemented for twelve monthly images covering a year. Bathymetric maps were generated and compared with LIDAR measurements. The results showed that bathymetry can be obtained from satellite data within a Root Mean Square Error while more accurate results were generated during the summer.
Branka Cuca and Luigi Barazzetti
Adv. Geosci., 45, 389–395, https://doi.org/10.5194/adgeo-45-389-2018, https://doi.org/10.5194/adgeo-45-389-2018, 2018
Short summary
Short summary
The use of medium resolution free-of-charge multi-spectral satellite imagery for purposes of flood extension and impact monitoring can be extremely valuable due to their ability to offer a remote access to information
The authors propose a workflow that uses Copernicus Sentinel-2 data to provide the comparison changes firstly in the single relevant bands and successively in the indexes NDVI e NDWI, suitable for the estimation of water component.
George Melillos, Athos Agapiou, Silas Michaelides, and Diofantos G. Hadjimitsis
Adv. Geosci., 45, 335–342, https://doi.org/10.5194/adgeo-45-335-2018, https://doi.org/10.5194/adgeo-45-335-2018, 2018
Short summary
Short summary
Field spectroscopy has been used, in order to study possible differences in the spectral signatures of vegetation so to be used for the systematic monitoring of military landscapes that comprise underground military structures. In this paper, underground military structures over vegetated areas were monitored, using both ground and satellite remote sensing data. Several ground measurements have been carried out in military areas, throughout the phenological cycle of plant growth.
Maroula N. Alverti, Kyriakos Themistocleous, Phaedon C. Kyriakidis, and Diofantos G. Hadjimitsis
Adv. Geosci., 45, 305–320, https://doi.org/10.5194/adgeo-45-305-2018, https://doi.org/10.5194/adgeo-45-305-2018, 2018
Short summary
Short summary
The scientific objective is to find a simple understandable model linking human smart characteristics to a group of socio-demographic and urban environment indices, applied to the case of Limassol Urban Complex, Cyprus. The results reveal that the human smart characteristics are significantly correlated with demographic dynamics and built infrastructure characteristics. For instance creativity and open-mindedness appear in most densely urban areas.
M. Previtali, L. Díaz-Vilariño, and M. Scaioni
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 507–514, https://doi.org/10.5194/isprs-archives-XLII-4-507-2018, https://doi.org/10.5194/isprs-archives-XLII-4-507-2018, 2018
P. Agrafiotis, D. Skarlatos, T. Forbes, C. Poullis, M. Skamantzari, and A. Georgopoulos
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 15–22, https://doi.org/10.5194/isprs-archives-XLII-2-15-2018, https://doi.org/10.5194/isprs-archives-XLII-2-15-2018, 2018
L. Barazzetti, M. Previtali, and F. Roncoroni
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 69–75, https://doi.org/10.5194/isprs-archives-XLII-2-69-2018, https://doi.org/10.5194/isprs-archives-XLII-2-69-2018, 2018
M. Scaioni, J. Crippa, M. Corti, L. Barazzetti, D. Fugazza, R. Azzoni, M. Cernuschi, and G. A. Diolaiuti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1029–1036, https://doi.org/10.5194/isprs-archives-XLII-2-1029-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1029-2018, 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
M. Scaioni, B. Höfle, A. P. Baungarten Kersting, L. Barazzetti, M. Previtali, and D. Wujanz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1503–1510, https://doi.org/10.5194/isprs-archives-XLII-3-1503-2018, https://doi.org/10.5194/isprs-archives-XLII-3-1503-2018, 2018
M. Scaioni, L. Barazzetti, M. Corti, J. Crippa, R. S. Azzoni, D. Fugazza, M. Cernuschi, and G. A. Diolaiuti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W4, 445–452, https://doi.org/10.5194/isprs-archives-XLII-3-W4-445-2018, https://doi.org/10.5194/isprs-archives-XLII-3-W4-445-2018, 2018
L. Barazzetti and F. Banfi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-5-W1, 1–8, https://doi.org/10.5194/isprs-annals-IV-5-W1-1-2017, https://doi.org/10.5194/isprs-annals-IV-5-W1-1-2017, 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
R. Valente, R. Brumana, D. Oreni, F. Banfi, L. Barazzetti, and M. Previtali
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W5, 707–712, https://doi.org/10.5194/isprs-archives-XLII-2-W5-707-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W5-707-2017, 2017
D. Mezzino, L. Barazzetti, M. Santana Quintero, and A. El-Habashi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W5, 513–519, https://doi.org/10.5194/isprs-archives-XLII-2-W5-513-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W5-513-2017, 2017
D. Oreni, G. Karimi, and L. Barazzetti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W5, 553–560, https://doi.org/10.5194/isprs-archives-XLII-2-W5-553-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W5-553-2017, 2017
M. Previtali
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W5, 583–589, https://doi.org/10.5194/isprs-archives-XLII-2-W5-583-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W5-583-2017, 2017
C. Stanga, C. Spinelli, R. Brumana, D. Oreni, R. Valente, and F. Banfi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W5, 653–660, https://doi.org/10.5194/isprs-archives-XLII-2-W5-653-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W5-653-2017, 2017
L. Van Meerbeek, L. Barazzetti, and R. Valente
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W5, 71–75, https://doi.org/10.5194/isprs-archives-XLII-2-W5-71-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W5-71-2017, 2017
L. Barazzetti, D. Mezzino, and M. Santana Quintero
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W5, 65–70, https://doi.org/10.5194/isprs-archives-XLII-2-W5-65-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W5-65-2017, 2017
G. Bitelli, C. Balletti, R. Brumana, L. Barazzetti, M. G. D’Urso, F. Rinaudo, and G. Tucci
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W5, 83–90, https://doi.org/10.5194/isprs-archives-XLII-2-W5-83-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W5-83-2017, 2017
R. Brumana, S. Della Torre, D. Oreni, M. Previtali, L. Cantini, L. Barazzetti, A. Franchi, and F. Banfi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W5, 97–104, https://doi.org/10.5194/isprs-archives-XLII-2-W5-97-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W5-97-2017, 2017
S. Caspani, R. Brumana, D. Oreni, and M. Previtali
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W5, 113–119, https://doi.org/10.5194/isprs-archives-XLII-2-W5-113-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W5-113-2017, 2017
B. Cuca
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W5, 135–140, https://doi.org/10.5194/isprs-archives-XLII-2-W5-135-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W5-135-2017, 2017
L. Barazzetti
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W2, 17–23, https://doi.org/10.5194/isprs-annals-IV-2-W2-17-2017, https://doi.org/10.5194/isprs-annals-IV-2-W2-17-2017, 2017
C. Stanga, R. Valente, and M. Previtali
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W1, 195–201, https://doi.org/10.5194/isprs-archives-XLII-5-W1-195-2017, https://doi.org/10.5194/isprs-archives-XLII-5-W1-195-2017, 2017
F. Banfi, L. Barazzetti, M. Previtali, and F. Roncoroni
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W1, 269–274, https://doi.org/10.5194/isprs-archives-XLII-5-W1-269-2017, https://doi.org/10.5194/isprs-archives-XLII-5-W1-269-2017, 2017
D. Oreni, R. Brumana, S. Della Torre, and F. Banfi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W1, 337–342, https://doi.org/10.5194/isprs-archives-XLII-5-W1-337-2017, https://doi.org/10.5194/isprs-archives-XLII-5-W1-337-2017, 2017
B. Cuca and A. Agapiou
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W1, 25–29, https://doi.org/10.5194/isprs-archives-XLII-5-W1-25-2017, https://doi.org/10.5194/isprs-archives-XLII-5-W1-25-2017, 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. 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
L. Barazzetti, F. Banfi, R. Brumana, M. Previtali, and F. Roncoroni
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-5, 51–56, https://doi.org/10.5194/isprs-annals-III-5-51-2016, https://doi.org/10.5194/isprs-annals-III-5-51-2016, 2016
L. Barazzetti, F. Roncoroni, R. Brumana, and M. Previtali
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 429–434, https://doi.org/10.5194/isprs-archives-XLI-B1-429-2016, https://doi.org/10.5194/isprs-archives-XLI-B1-429-2016, 2016
D. D. Alexakis, M. G. Grillakis, A. G. Koutroulis, A. Agapiou, K. Themistocleous, I. K. Tsanis, S. Michaelides, S. Pashiardis, C. Demetriou, K. Aristeidou, A. Retalis, F. Tymvios, and D. G. Hadjimitsis
Nat. Hazards Earth Syst. Sci., 14, 413–426, https://doi.org/10.5194/nhess-14-413-2014, https://doi.org/10.5194/nhess-14-413-2014, 2014
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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