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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLI-B6
https://doi.org/10.5194/isprs-archives-XLI-B6-17-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/isprs-archives-XLI-B6-17-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
17 Jun 2016
MAPPING LANDSLIDES IN LUNAR IMPACT CRATERS USING CHEBYSHEV POLYNOMIALS AND DEM’S
V. Yordanov
Dept. of Architecture, Built environment and Construction engineering (ABC), Politecnico di Milano via Ponzio 31, 20133 Milano, Italy
M. Scaioni
Dept. of Architecture, Built environment and Construction engineering (ABC), Politecnico di Milano via Ponzio 31, 20133 Milano, Italy
M. T. Brunetti
Research Institute for Geo-Hydrological Protection – Italian National Research Council (IRPI-CNR) via Madonna Alta, 126, 06128 Perugia, Italy
M. T. Melis
Dept. of Chemical and Geological Sciences, University of Cagliari, via Trentino 51, 09127 Cagliari, Italy
ASI Science Data Center, Italian Space Agency (ASI-ASDC), Roma, Italy
National Institute for Astrophysics, Astronomical Observatory of Rome (INAF-OAR), Roma, Italy
P. Giommi
ASI Science Data Center, Italian Space Agency (ASI-ASDC), Roma, Italy
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ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-5-W1, 63–70, https://doi.org/10.5194/isprs-annals-IV-5-W1-63-2017, https://doi.org/10.5194/isprs-annals-IV-5-W1-63-2017, 2017
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 1547–1554, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1547-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1547-2017, 2017
M. T. Melis, F. Dessì, P. Loddo, C. La Mantia, S. Da Pelo, A. M. Deflorio, G. Ghiglieri, B. T. Hailu, K. Kalegele, and B. N. Mwasi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W2, 121–127, https://doi.org/10.5194/isprs-archives-XLII-4-W2-121-2017, https://doi.org/10.5194/isprs-archives-XLII-4-W2-121-2017, 2017
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W1, 153–160, https://doi.org/10.5194/isprs-archives-XLII-5-W1-153-2017, https://doi.org/10.5194/isprs-archives-XLII-5-W1-153-2017, 2017
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Nat. Hazards Earth Syst. Sci., 17, 467–480, https://doi.org/10.5194/nhess-17-467-2017, https://doi.org/10.5194/nhess-17-467-2017, 2017
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We studied a period of torrential rain between 1 and 6 September 2014 in the Gargano Promontory, Puglia, southern Italy, which caused a variety of geohydrological hazards, including landslides, flash floods, inundations and sinkholes. We used the rainfall and the landslide information available to us to design and test the new ensemble – non-exceedance probability (E-NEP) algorithm for the quantitative evaluation of the probability of the occurrence of rainfall-induced landslides.
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