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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLII-2/W11
https://doi.org/10.5194/isprs-archives-XLII-2-W11-675-2019
© 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-W11-675-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
04 May 2019
| 04 May 2019
TOWARDS BUILDING A SEMANTIC FORMALIZATION OF (SMALL) HISTORICAL CENTRES
M. Kokla
School of Rural and Surveying Engineering, National Technical University of Athens, Athens, Greece
M. A. Mostafavi
Centre for research in Geomatics, Department of Geomatics Sciences, Université Laval Quebec, Canada
F. Noardo
Department of Urbanism - Delft University of Technology, Delft, The Netherlands
Department of Architecture and Design (DAD) - Politecnico di Torino Viale Mattioli 39, 10125 Torino, Italy
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G. Sammartano and A. Spanò
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W1, 245–252, https://doi.org/10.5194/isprs-archives-XLII-5-W1-245-2017, https://doi.org/10.5194/isprs-archives-XLII-5-W1-245-2017, 2017
V. Di Pietra, E. Donadio, D. Picchi, L. Sambuelli, and A. Spanò
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W3, 259–266, https://doi.org/10.5194/isprs-archives-XLII-2-W3-259-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W3-259-2017, 2017
Xu-Feng Xing, Mir Abolfazl Mostafavia, and Chen Wang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 425–432, https://doi.org/10.5194/isprs-archives-XLI-B3-425-2016, https://doi.org/10.5194/isprs-archives-XLI-B3-425-2016, 2016
R. Jahdi, M. Salis, A. A. Darvishsefat, M. A. Mostafavi, F. Alcasena, V. Etemad, O. Lozano, and D. Spano
Nat. Hazards Earth Syst. Sci., 15, 443–459, https://doi.org/10.5194/nhess-15-443-2015, https://doi.org/10.5194/nhess-15-443-2015, 2015
Short summary
Short summary
This work aimed to calibrate FARSITE simulator using a set of wildfires that occurred in north Iranian forests. Fire modeling showed a high potential for estimating spatial variability in fire spread and behavior of the case studies selected. This paper represents a first step in the application of fire spread modeling in northern Iran in wildfire risk monitoring and management. The methodology can be replicated in other Caspian ecosystems to characterize fire spread and behavior.
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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