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Remote sensing

Papers dealing with the application of remote sensing data and technologies for geomorphological applications, chiefly landslide detection, landslide monitoring, and landslide susceptibility assessment.

Landslide mapping from multi-sensor data through improved change detection-based Markov random field

Lua P., Qina Y., Lib Z., Mondini A.C., Casagli N. (2019) Landslide mapping from multi-sensor data through improved change detection-based Markov random field. Remote Sensing of Environment 231, 111235, doi:10.1016/j.rse.2019.111235.

Sentinel-1 SAR Amplitude Imagery for Rapid Landslide Detectionn

Mondini A.C., Santangelo M., Rocchetti M., Rossetto E., Manconi A., Monserrat O. (2019) Sentinel-1 SAR Amplitude Imagery for Rapid Landslide Detection. Remote Sensing, 11, 760; doi:10.3390/rs11070760.

Criteria for the optimal selection of remote sensing optical images to map event landslides

Fiorucci, F., Giordan, D., Santangelo, M., Dutto, F., Rossi, M., and Guzzetti, F.: Criteria for the optimal selection of remote sensing optical images to map event landslides, Nat. Hazards Earth Syst. Sci., 18, 405-417, https://doi.org/10.5194/nhess-18-405-2018, 2018.

Topography-driven satellite imagery analysis for landslide mapping

Alvioli M., Mondini A.C., Fiorucci F., Cardinali M., Marchesini I. (2018). Topography-driven satellite imagery analysis for landslide mapping. Natural Hazards and Risk, 9:1, 544-567. https://doi.org/10.1080/19475705.2018.1458050

How far are we from the use of satellite rainfall products in landslide forecasting?

M.T. Brunetti, M. Melillo, S. Peruccacci, L. Ciabatta, L. Brocca (2018). How far are we from the use of satellite rainfall products in landslide forecasting? Remote Sensing of Environment 210, 65–75. https://doi.org/10.1016/j.rse.2018.03.016

Taking Advantage of the ESA G-POD Service to Study Ground Deformation Processes in High Mountain Areas: A Valle d’Aosta Case Study, Northern Italy

Martina Cignetti, Andrea Manconi, Michele Manunta, Daniele Giordan, Claudio De Luca, Paolo Allasia and Francesca Ardizzone (2016) Taking Advantage of the ESA G-POD Service to Study Ground Deformation Processes in High Mountain Areas: A Valle d’Aosta Case Study, Northern Italy. Remote Sens. 2016, 8, 852; doi:10.3390/rs8100852

The Use of Stereoscopic Satellite Images to Map Rills and Ephemeral Gullies

Federica Fiorucci, Francesca Ardizzone, Mauro Rossi, Dino Torri. The Use of Stereoscopic Satellite Images to Map Rills and Ephemeral Gullies, Remote Sensing, 2015, 7, 14151-14178; DOI: 10.3390/rs71014151

Large rock slides in impact craters on the Moon and Mercury

Brunetti M.T., Xiao Z., Komatsu G., Peruccacci S., Guzzetti F. (2015) Large rock slides in impact craters on the Moon and Mercury. Icarus, 260, 289–300, doi:10.1016/j.icarus.2015.07.014.

Landslide Kinematical Analysis through Inverse Numerical Modelling and Differential SAR Interferometry

R. Castaldo, P. Tizzani, P. Lollino, F. Calo`, F. Ardizzone, R. Lanari, F. Guzzetti, and M. Manunta, (2014), Landslide Kinematical Analysis through Inverse Numerical Modelling and Differential SAR Interferometry. Pure Appl. Geophys. Published online: 23 December 2014. DOI 10.1007/s00024-014-1008-3

Rapid mapping of landslide events: the 3 December 2013 Montescaglioso landslide, Italy

Manconi A., Casu F., Ardizzone F., Bonano M., Cardinali M., De Luca C., Gueguen E., Marchesini I., Parise M., Vennari C., Lanari R., Guzzetti F. (2014) Rapid mapping of landslide events: the 3 December 2013 Montescaglioso landslide, Italy. Natatural Hazards and Earth System Sciences, 14, 1835–1841, 2014.doi:10.5194/nhess-14-1835-2014/.

Satellite Stereoscopic Pair Images of Very High Resolution: a Step Forward for the Development of Landslide Inventories

Murillo-García, F. G., Alcántara-Ayala I., Ardizzone F., Cardinali F., Fiorucci F., Guzzetti F. (2015) Satellite Stereoscopic Pair Images of Very High Resolution: a Step Forward for the Development of Landslide Inventories. Landslides, 12, 277–291, doi:10.1007/s10346-014-0473-1, published on line 1 April 2014.

Fine-scale spatial distribution of biomass using satellite images

Santi E., Tarantino C., Amici V., Bacaro G., Blonda P., Borselli L., Rossi M., Tozzi S., Torri D. (2014) Fine-scale spatial distribution of biomass using satellite images. Journal of Ecology and the Natural Environment, 6(2), 75-86, doi: 10.5897/JENE2013.0416.

A downscaling approach for geological characterization of the Raditladi basin of Mercury

Mancinelli P., Minelli F., Mondini A.C., Pauselli C., Federico C. (2014) A downscaling approach for geological characterization of the Raditladi basin of Mercury. The Geological Society of London, Special Publication 401 SP401 Volcanism and Tectonism Across the Inner Solar System, doi:10.1144/SP401.10.

Combining spectral and geoenvironmental information for probabilistic event landslide mapping

Mondini A.C., Chang K.-t. (2014) Combining spectral and geoenvironmental information for probabilistic event landslide mapping. Geomorphology, 213, 183–189, doi:10.1016/j.geomorph.2014.01.007.

Enhanced landslide investigations through advanced DInSAR techniques: the Ivancich case study, Assisi, Italy

Calò F., Ardizzone F., Castaldo R., Lollino P., Tizzani P., Guzzetti F., Lanari R., Angeli M.G., Pontoni F., Manunta M. (2014) Enhanced landslide investigations through advanced DInSAR techniques: the Ivancich case study, Assisi, Italy. Remote Sensing of Environment, 142, 69-82.

Combining Multiple Change Detection Indices for Mapping Landslides Triggered by Typhoons

Mondini A.C., Chang, K.-T., Yin H.-Y., Guzzetti F. (2013) Combining Multiple Change Detection Indices for Mapping Landslides Triggered by Typhoons. In: Landslide Science and Practice, Margottini C., Canuti P., Sassa K. (eds.), Vol. 1, 89-93, doi: 10.1007/978-3-642-31325-7_11.

Very-High Resolution Stereoscopic Satellite Images for Landslide Mapping

Ardizzone F., Fiorucci F., Santangelo M., Cardinali M., Mondini A.C., Rossi M., Reichenbach P., Guzzetti F. (2013) Very-High Resolution Stereoscopic Satellite Images for Landslide Mapping. In: Landslide Science and Practice, Margottini C., Canuti P., Sassa K. (eds.), Vol. 1, 95-101, doi: 10.1007/978-3-642-31325-7_12.

Bayesian framework for mapping and classifying shallow landslides exploiting remote sensing and topographic data

Mondini A.C., Marchesini I., Rossi M., Chang K-T., Pasquariello G., Guzzetti F. (2013) Bayesian framework for mapping and classifying shallow landslides exploiting remote sensing and topographic data. Geomorphology, 201, 135-147, doi:10.1016/j.geomorph.2013.06.015.

Exploitation of Large Archives of ERS and ENVISAT C-Band SAR Data to Characterize Ground Deformations

Del Ventisette C., Ciampalini A., Manunta M., Calò F., Paglia L., Ardizzone F., Mondini A.C., Reichenbach P., Mateos, Bianchini S., Garcia I., Füsi B., Deák V., Rádi K., Graniczny M., Kowalski Z., Piatkowska A., Surala M., Retzo H., Strozzi T., Colombo D., Mora O., Sánchez, Herrera G., Moretti S., Casagli N., Guzzetti F. (2013) Exploitation of Large Archives of ERS and ENVISAT C-Band SAR Data to Characterize Ground Deformations. Remote Sensing, 5(8), 3896-3917, doi:10.3390/rs5083896.

Semi-automatic recognition and mapping of event-induced landslides exploiting multispectral satellite images and DEM in a Bayesian framework

Mondini A.C., Chang K-t, Rossi M., Marchesini I., Guzzetti F. (2012) Semi-automatic recognition and mapping of event-induced landslides exploiting multispectral satellite images and DEM in a Bayesian framework. Proceedings SPIE Asia-Pacific Remote Sensing, 29 October – 1 November, 2012, Kyoto, Japan, Vol. 8524 852415-1

Using GMES to map and monitor landslides and ground subsidence

Guzzetti F., Mondini A.C., Manunta M. (2013) Using GMES to map and monitor landslides and ground subsidence. Windows on GMES, Gmes4Regions, Printing E3 Expansion, Paris, 101-106.

Scientific & Technical Memorandum of the International Forum on Satellite EO and Geohazards, Santorini, Greece, 21-23 May 2012

Balli P. ed. (2012) Scientific & Technical Memorandum of the International Forum on Satellite EO and Geohazards, Santorini, Greece, 21-23 May 2012. ESA / ESRIN, Rome, 978-92-9092-097-7. Contains: Moretti S., Cigna F., Bawden G., Bianchini S., Del Ventisette C., Guzzetti F., Herrera G., Iasio C., March S., Malet J.-P., Mondini A.C, Norbury D., Raetzo H., Raspini F., Schneiderbauer S., Stumpf A., Wasowski J., Zebisch M. (2012) 3. Perspectives Concerning Satellite EO and Geohazard Risk Management: landslide hazards.

Analysis of ground deformation using SBAS-DInSAR technique applied to COSMO-SkyMed images, the test case of Roma urban area

Ardizzone F., Bonano M., Giocoli A., Lanari R., Marsella M., Pepe A., Perrone A., Piscitelli S., Scifoni S., Scutti M., Solaro G. (2012) Analysis of ground deformation using SBAS-DInSAR technique applied to COSMO-SkyMed images, the test case of Roma urban area. SPIE Remote Sensing 2012.

RMM satellite rainfall estimates for landslide early warning in Italy: preliminary results

Rossi M., Kirschbaum D., Luciani S., Mondini A.C., Guzzetti F. (2012) TRMM satellite rainfall estimates for landslide early warning in Italy: preliminary results. Proceedings SPIE Asia-Pacific Remote Sensing, 29 October – 1 November, 2012, Kyoto, Japan, Vol. 8523 85230D-1.

Landslide inventory maps: new tools for and old problem

Guzzetti F., Mondini A.C., Cardinali M., Fiorucci F., Santangelo M., Chang K.T. (2012) Landslide inventory maps: new tools for and old problem. Earth-Science Reviews, Vol. 112, 42-66. doi: 10.1016/j.earscirev.2012.02.001.

Preliminary analysis of a correlation between ground deformations and rainfall: the Ivancich landslide, central Italy

Ardizzone F., Rossi M., Calò F., Paglia L., Manunta M., Mondini A.C., Zeni G., Reichenbach P., Lanari R., Guzzetti F. (2011) Preliminary analysis of a correlation between ground deformations and rainfall: the Ivancich landslide, central Italy. Proceedings SPIE Remote Sensing, 19-22 September 2011, Prague, Vol. 8179, CCC code: 0277- 786X/11/$18, doi: 10.1117/12.899453.

Combining multiple change detection indices for mapping landslides triggered by typhoons

Mondini A.C., Chang K.T., Yin H.-Y. (2011) Combining multiple change detection indices for mapping landslides triggered by typhoons. Geomorphology, Vol 134, 440-451, doi:10.1016/j.geomorph.2011.07.021.

Semi-automatic recognition and mapping of rainfall induced shallow landslides using satellite optical images

Mondini A.C., Guzzetti F., Reichenbach P., Rossi M., Cardinali M., Ardizzone F. (2011) Semi-automatic recognition and mapping of rainfall induced shallow landslides using satellite optical images. Remote Sensing of Environment, Vol. 115, 1743–1757, doi:10.1016/j.rse.2011.03.006.

Seasonal landslides mapping and estimation of landslide mobilization rates using aerial and satellite images

Fiorucci F., Cardinali M., Carlà R., Rossi M., Mondini A.C., Santurri L., Ardizzone F., Guzzetti F. (2011) Seasonal landslides mapping and estimation of landslide mobilization rates using aerial and satellite images. Geomorphology, 129(1-2), 59–70, doi:10.1016/j.geomorph.2011.01.013.

The COSMO-Skymed constellation turn on the l’Aquila earthquake: DinSAR results of the MORFEO project

Bovenga F., Candela L., Casu F., Fornaro G., Guzzetti F., Lanari R., Nitti D.O., Nutricato R., Reale R. (2010) The COSMO-Skymed constellation turn on the l’Aquila earthquake: DinSAR results of the MORFEO project. Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010, Paper 4588, 25-30 July 2010. Honolulu, ISBN DVD-ROM: 978-1-4244-9564-1, ISBN IEEE Xplore: 978-1-4244-9566-5, 4803-4806.

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published on 2011/08/31 11:15:46 GMT+1 — last modified 2018-02-19T12:33:18+01:00