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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIII-B4-2020
https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-33-2020
© Author(s) 2020. 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-XLIII-B4-2020-33-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
24 Aug 2020
| 24 Aug 2020
SEMANTICALLY DESCRIBING URBAN HISTORICAL BUILDINGS ACROSS DIFFERENT LEVELS OF GRANULARITY
E. Colucci
Department of Environmental, Land and Infrastructure Engineering (DIATI) - Politecnico di Torino C.so Duca degli Abruzzi 24, 10129, Torino, Italy
M. Kokla
School of Rural and Surveying Engineering, National Technical University of Athens, Athens, Greece
M. A. Mostafavi
Centre for Research in Geospatial Data and Intelligence, Department of Geomatics Sciences, Université Laval Quebec, Canada
F. Noardo
Department of Urbanism - Delft University of Technology, Delft, The Netherlands
rtment of Architecture and Design (DAD) - Politecnico di Torino Viale Mattioli 39, 10125 Torino, Italy
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 823–830, https://doi.org/10.5194/isprs-archives-XLII-2-W11-823-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-823-2019, 2019
F. Matrone, E. Colucci, V. De Ruvo, A. Lingua, and A. Spanò
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 857–865, https://doi.org/10.5194/isprs-archives-XLII-2-W11-857-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-857-2019, 2019
E. Abbate, G. Sammartano, and A. Spanò
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 11–19, https://doi.org/10.5194/isprs-archives-XLII-2-W11-11-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-11-2019, 2019
M. Kokla, M. A. Mostafavi, F. Noardo, and A. Spanò
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 675–683, https://doi.org/10.5194/isprs-archives-XLII-2-W11-675-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-675-2019, 2019
M. Argany and M.-A. Mostafavi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 11–17, https://doi.org/10.5194/isprs-archives-XLII-1-11-2018, https://doi.org/10.5194/isprs-archives-XLII-1-11-2018, 2018
E. Colucci, F. Noardo, F. Matrone, A. Spanò, and A. Lingua
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 107–114, https://doi.org/10.5194/isprs-archives-XLII-4-107-2018, https://doi.org/10.5194/isprs-archives-XLII-4-107-2018, 2018
F. Chiabrando, C. Della Coletta, G. Sammartano, A. Spanò, and A. Spreafico
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 225–234, https://doi.org/10.5194/isprs-archives-XLII-2-225-2018, https://doi.org/10.5194/isprs-archives-XLII-2-225-2018, 2018
A. Spanò, F. Chiabrando, G. Sammartano, and L. Teppati Losè
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1075–1082, https://doi.org/10.5194/isprs-archives-XLII-2-1075-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1075-2018, 2018
L. Teppati Losè, F. Chiabrando, and A. Spanò
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1113–1120, https://doi.org/10.5194/isprs-archives-XLII-2-1113-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1113-2018, 2018
A. Calantropio, F. Chiabrando, G. Sammartano, A. Spanò, and L. Teppati Losè
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W4, 121–128, https://doi.org/10.5194/isprs-archives-XLII-3-W4-121-2018, https://doi.org/10.5194/isprs-archives-XLII-3-W4-121-2018, 2018
F. Chiabrando, E. Colucci, A. Lingua, F. Matrone, F. Noardo, and A. Spanò
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W4, 151–158, https://doi.org/10.5194/isprs-archives-XLII-3-W4-151-2018, https://doi.org/10.5194/isprs-archives-XLII-3-W4-151-2018, 2018
A. Calantropio, E. Colucci, and L. Teppati Losè
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 59–66, https://doi.org/10.5194/isprs-archives-XLII-2-W8-59-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W8-59-2017, 2017
A. Lingua, F. Noardo, A. Spanò, S. Sanna, and F. Matrone
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W2, 107–115, https://doi.org/10.5194/isprs-archives-XLII-4-W2-107-2017, https://doi.org/10.5194/isprs-archives-XLII-4-W2-107-2017, 2017
F. Chiabrando, M. Naretto, G. Sammartano, L. Sambuelli, A. Spanò, and L. Teppati Losè
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W1, 227–234, https://doi.org/10.5194/isprs-archives-XLII-5-W1-227-2017, https://doi.org/10.5194/isprs-archives-XLII-5-W1-227-2017, 2017
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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