TEO Lab -
Tor Vergata Earth Observation Laboratory

land cover, radar
***** Look at ESA's image of the week ***** Look at ESA's Video of the week



Tor Vergata Earth Observation Laboratory, is a laboratory of the Department of Civil and Computer Engineering (Dipartimento di Ingegnria Civile e Ingegnaria Informatica - DICII) of Tor Vergata University, Rome, Italy.

TEO Lab is supervised by Prof. Domenico Solimini and supports multidisciplinary research and educational activities, with interaction among Earth observation, satellite remote sensing, computer engineering, Earth sciences, electromagnetics and telecommunications.

TEO Lab hosts the EO activities both of the GeoInformation Doctoral Curriculum and of the Civil Engineering, Computer Science, Telecommunications and Environmental Engineering Masters. The Earth Observation Lab researchers devise original methods and implement algorithms and computer codes for exploiting data from Earth observation satellite missions



MicroRad back to Roma


Satellite image: ESA


DigitalGlobe’s WorldView constellation catches timely images of
Fukushima Nuclear Power Plant


On March 14, 2011 between 11:00 and 11:04 AM local time (02:00 and 02:04 GMT), DigitalGlobe’s constellation imaged the Fukushima Daiichi Nuclear Power Plant twice - approximately 1 minute before and approximately 3 minutes after an explosion at the No. 3 reactor building.

© 2011 DigitalGlobe, Inc.

Japan Earthquake and Tsunami Imagery Report


Portion of the Tor Vergata University campus imaged at X-band, horizontal polarization, by COSMO-SkyMed synthetic aperture radar on 20 November 2008. Filtering by GeoInformation PhD student Chiara Pratola.
soil moisture smos

Multi-polarization SAR image by RADARSAT-2 of the SE area of Rome and the Colli Albani hilly area, including the Albano and Nemi lakes. October 8 2008, RGB: sigma^0_vv, sigma^0_hh, sigma^0_hv. Courtesy Tiziana Tocci, BS thesis on "Self-organizing maps for SAR image classification". SOAR Project Number 1488, P.I. Domenico Solimini. RADARSAT-2 Data and Product © MacDonald, Dettwiler and Associates Ltd. (2008) – All Rights Reserved.


soil moisture smos
campus classified Very-high resolution optical and SAR remote sensing for the urban landscape
hyperspectral land cover Superspectral and hyperspectral missions improve land cover classification
polinsar forest Polarimetric and interferometric SAR observables contribute to forestry
vine precision farming Progress in precision farming through microwave and optical Earth observation

ERA-ORA: Optical, SAR and radiometric measurements on crops and arboreous vegetation assembled by a European project together with ground truth and simulation models.

Use of data and software is welcome




Neural Networks for Interpretation of Remotely Sensed Data

soil moisture smos
Ancient Rome imaged by WorldView-2 on 10 December 2009: Caracalla archeological area, with its impressive thermae, appears in the central upper part of the image; the FAO white building is near the bottom."

pcnn urban cd
Pulse-coupled neural networks appear a powerful tool in detecting changes in very-high resolution images of urban areas

Rome, Italy, flooded areas mapped in near-real time by RADARSAT-2 through a change detection technique.

data fusion
VHR classification
land cover, hyperspectral
urban areas
change detection
precision farming
biomass, sar
biomass, polinsar
soil scattering
vegetation scattering
emission, smos
soil moisture
wetland, flooding
bistatic radar
sar processing
oil spills, sar
ozone, omi, sciamachy
volcanic ash
atmospheric water vapor
medical radiometry
neural networks
retrieval techniques
©Copyright 2011 - Sito costruito con le risorse dell'Università, curato da Antonio Perrone