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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume IV-2/W6
https://doi.org/10.5194/isprs-annals-IV-2-W6-1-2019
© 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-annals-IV-2-W6-1-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
21 Aug 2019
| 21 Aug 2019
DOCUMENTING NEA PAPHOS FOR CONSERVATION AND MANAGEMENT
D. Ace
Carleton University, Carleton Immersive Media Studio (CIMS) 1125 Colonel by Drive, Ottawa, On, K1S 5B6, Canada
J. Marrs
Carleton University, Carleton Immersive Media Studio (CIMS) 1125 Colonel by Drive, Ottawa, On, K1S 5B6, Canada
M. Santana Quintero
Carleton University, Carleton Immersive Media Studio (CIMS) 1125 Colonel by Drive, Ottawa, On, K1S 5B6, Canada
L. Barazzetti
Politecnico di Milano, Department of Architecture, Built Environment and Construction Engineering Via Ponzio 31, 20133 Milano, Italy
M. Demas
Getty Conservation Institute, 1200 Getty Drive, Suite 700, Los Angeles, CA 90049-1684, USA
L. Friedman
Getty Conservation Institute, 1200 Getty Drive, Suite 700, Los Angeles, CA 90049-1684, USA
T. Roby
Getty Conservation Institute, 1200 Getty Drive, Suite 700, Los Angeles, CA 90049-1684, USA
M. Chamberlain
Department of Antiquities of Cyprus, 1 Museum Avenue, Nicosia 1097, Cyprus
M. Duong
Carleton University, Carleton Immersive Media Studio (CIMS) 1125 Colonel by Drive, Ottawa, On, K1S 5B6, Canada
R. Awad
Carleton University, Carleton Immersive Media Studio (CIMS) 1125 Colonel by Drive, Ottawa, On, K1S 5B6, Canada
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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.
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A. Federman, M. Santana Quintero, S. Kretz, J. Gregg, M. Lengies, C. Ouimet, and J. Laliberte
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W5, 237–244, https://doi.org/10.5194/isprs-archives-XLII-2-W5-237-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W5-237-2017, 2017
S. Shrestha, M. Reina Ortiz, M. Gutland, R. Napolitano, I. M. Morris, M. Santana Quintero, J. Erochko, S. Kawan, R. G. Shrestha, P. Awal, S. Suwal, S. Duwal, and D. K. Maharjan
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W2, 243–250, https://doi.org/10.5194/isprs-annals-IV-2-W2-243-2017, https://doi.org/10.5194/isprs-annals-IV-2-W2-243-2017, 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
D. Mezzino, L. Chan, M. Santana Quintero, M. Esponda, S. Lee, A. Min, and M. Pwint
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W2, 143–150, https://doi.org/10.5194/isprs-annals-IV-2-W2-143-2017, https://doi.org/10.5194/isprs-annals-IV-2-W2-143-2017, 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
M. Santana Quintero
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W1, 9–14, https://doi.org/10.5194/isprs-archives-XLII-5-W1-9-2017, https://doi.org/10.5194/isprs-archives-XLII-5-W1-9-2017, 2017
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
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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