New Trends in Geomatics, in the Era of Lowcost Sensors, Free and Open Source Software and HPC GeoBigData infrastructures

Roberta Ravanelli, Martina Di Rita, Valeria Belloni, Andrea Nascetti, Augusto Mazzoni, Mattia Crespi

Abstract


Nowadays, the increasing availability of low-cost sensors, Free and Open Source Software and High Performance Computing infrastructures allows Geomatics to widen its application scope, by stimulating new challenging investigations related to the modeling of the observations provided by these new tools.
In this review, some methodologies and applications, developed at the Geodesy and Geomatics Division (DICEA) of University of Rome “La Sapienza”, are shortly presented.
Directly related to the mentioned software and hardware new availability, they
are already ready for industrial applications and hopefully can broaden the interaction between Geomatics and other scientific and technological disciplines.






Parole chiave


Geomatics; Low-cost Sensors; Open Source Software; GeoBigData infrastructures

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Riferimenti bibliografici


Benedetti, E., Branzanti, M., Colosimo, G., Mazzoni, A., Crespi, M. (2015) VADASE: State of the Art and New Developments of a Third Way to GNSS Seismology. In: Sneeuw

N., Novák P., Crespi M., Sansò F. (eds) VIII Hotine-Marussi Symposium on Mathematical Geodesy. International Association of Geodesy Symposia, vol 142. Springer

Branzanti, M., Benedetti, E., Colosimo, G., Mazzoni, A., Crespi, M. (2014). Real-time monitoring of fast displacements with VADASE: new applications and challenges with Galileo. ENC – GNSS 2014 Proceedings (Session C7) (online only).

Capaldo, P., Crespi, M., Fratarcangeli, F., Nascetti, A. and Pieralice, F. (2011), Highresolution SAR radargrammetry: a first application with COSMO-SkyMed SpotLight imagery, IEEE Geoscience and Remote Sensing Letters. 8(6), pp. 1100-1104.

Colmano, D., Crespi, M., Fabiani, U. and Zebisch, M., 2007. “Quality assessment of commercially available DEMs in mountain areas”. Geologic Hazards in Mountainous Areas.

Di Rita, M., Andrea Nascetti and Mattia Crespi (2017a) Open source tool for DSMs generation from high resolution optical satellite imagery: development and testing of an OSSIM plug-in, International Journal of Remote Sensing, 38:7, 1788-1808, DOI:

1080/01431161.2017.128830

Di Rita, M., Nascetti, A., Fratarcangeli, F., Crespi, M. (2016). Upgrade of FOSS DATE plug-in: implementation of a new radargrammetric DSM generation capability, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences.

(B7): 821-825

Di Rita, M., (2017). New trends for DSMs generation from optical and SAR satellite imagery: definition and implementation of an innovative strategy, PhD thesis, University of Rome “La Sapienza”.

Di Rita, M., Nascetti, A., Crespi, M. (2017b). FOSS4G DATE assessment on the ISPRS optical stereo satellite data: a benchmark for DSM generation, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-1/W1.

Donchyts, G., Baart, F., Winsemius, H., Gorelick, N., Kwadijk, J. and van de Giesen, N., 2016. “Earth’s surface water change over the past 30 years”. Nature Climate Change 6(9), pp. 810–813.

Google Earth Engine Team, 2015. Google Earth Engine: a Planetary-scale Geospatial Analysis Platform. https://earthengine.google.com.

Izadi, S., Kim, D., Hilliges, O., Molyneaux, D., Newcombe, R., Kohli, P., Shotton, J., Hodges, S., Freeman, D., Davison, A. and Fitzgibbon, A. (2011) KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera. In Proceedings of the 24th annual ACM symposium on User interface software and technology.

Koch, A. and Heipke, C., 2001. “Quality assessment of digital surface models derived from the shuttle radar topography mission (srtm)”. Geoscience and Remote Sensing Symposium, Vol. 6, pp. 2863–2865.

Nascetti, A. et al, (2015), Radargrammetric Digital Surface Models Generation from High Resolution Satellite SAR Imagery: Methodology and Case Studies, International Association of Geodesy Symposia.

Nascetti, A., Di Rita, M., Ravanelli, R., Amicuzi, M., Esposito, S., and Crespi, M. (2017). Free global DSM assessment on large scale areas exploiting the potentialities of the innovative Google Earth Engine platform. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-1/W1, pp. 627-633.

Newcombe, R., Izadi, S., Hilliges, O., Molyneaux, D., Kim, D., Davison, A, Kohli, P., Shotton, J., Hodges, S., and Fitzgibbon, A. (2011) KinectFusion: Real-time dense surface mapping and tracking. In Mixed and augmented reality (ISMAR).

Pekel, J.-F., Cottam, A., Gorelick, N. and Belward, A. S., 2016. “High-resolution mapping of global surface water and its longterm changes”. Nature 540(7633), pp. 418–422.

Ravanelli, R., Di Rita, M., Nascetti, A., Crespi, M., Nigro, L., Montanari, D. and Spagnoli, F. (2017a). Penguin 3.0 - Capturing Small Finds in 3D. Mediterranean Archaeology and Archaeometry, Vol. 17, No 2, (2017), DOI: 10.5281/zenodo.581720 (in press).

Ravanelli, R., Nascetti, A. and Crespi, M. (2016). Kinect v2 and RGB Stereo Cameras Integration for Depth Map Enhancement. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B5, pp. 699-702.

Ravanelli, R., Nascetti, A., Di Rita, M., Belloni, V., Mattei, D., Nisticò, N., Crespi, M. (2017b). A New Digital Image Correlation Software for Displacements Field Measurement in Structural Applications. International Archives of the Photogrammetry, Remote

Sensing and Spatial Information Sciences, Volume XLII-4/V2, pp. 139-145.

Ravanelli, R., Nascetti, A., Di Rita, M., Nigro, L., Montanari, D., Spagnoli, F. and Crespi, M. (2017c). 3D modelling of archaeological small finds by a low-cost range camera: methodology

and first results. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-5/W1, pp. 589 -592.

Sansò, F. Sciences, Volume XLII-5/W1, pp. 589 -592. Crespi, M. (2015). Geodesy and Geomatics to the edge - Foreword, M. Rend. Fis. Acc. Lincei (2015) 26 (Suppl 1): 1. doi:10.1007/s12210-015-0433-2.

Tesolin, F., Vitti, A. and Mazzoni, A. (2017). Variometric approach for displacement analysis using Galileo data: first results. Geophysical Research Abstracts Vol. 19, EGU2017-5195, 2017 EGU General Assembly 2017.




DOI: http://dx.doi.org/10.48258/geo.v21i3.1441

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