Prof. Sergio Teggi Profile

Prof. Sergio Teggi

Assiociate Professor at Univ degli Studi di Modena e Reggio Emilia

SPIE Involvement:

Author

Area of Expertise:

Atmhospheric corrections , Topographic corrections , Environmental Monitoring , Thermal remote sensing , Geographic Information Systems , Air quality

Publications (9)

Proceedings Article | 14 October 2014 Paper

Remote sensing and GIS for the modeling of persistent organic pollutant in the marine environment

S. Costanzini, S. Teggi, A. Bigi, G. Ghermandi

Proceedings Volume 9240, 924012 (2014) https://doi.org/10.1117/12.2067364

KEYWORDS: Polonium, MODIS, Geographic information systems, Ocean optics, Water, Neodymium, Atmospheric particles, Remote sensing, Environmental sensing, Photonic integrated circuits

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The characterization of the marine environment plays an important role in the understanding of the dynamics affecting the transport, fate and persistence (TFP) of Persistent Organic Pollutants (POPs). This work is part of a project funded by the Ministero dell’Istruzione, dell’Università e della Ricerca. The aim of the project is the assessment of the TFP of POPs in the Mediterranean sea. The analysis will be carried out at regionalmesoscale (central Mediterranean), and at local spatial scale considering different Italian test sites (the Delta of the Po River, the Venice Lagoon and the estuary of the Rio Nocella). The first step of this work involves the implementation of GIS geodatabases for the definition of the input dataset. The geodatabases were populated with MERIS and MODIS level 2 and level 3 products of Chlorophyll-a (CHL-a), Chromophoric Dissolved Organic Matter (CDOM), Aerosol Optical Thickness (AOT), Diffuse Attenuation Coefficient (DAC), Particulate Inorganic Carbon (PIC), Particulate Organic Carbon (POC) and Sea Surface Temperature (SST). The spatial scale (central Mediterranean sea) and the reference system (Plate Carrée projection) have been imposed as a constraint for the geodatabases. Four geodatabases have been implemented, two for MODIS and two for MERIS products with a monthly, seasonal and climatological temporal scale (2002 -2013). Here, we present a first application of a methodology aimed to identify vulnerable areas to POPs accumulation and persistence. The methodology allowed to assess the spatial distribution of the CHL-a in the central Mediterranean sea. The chlorophyll concentration is related to the amount of nutrients in the water and therefore provides an indicator of the potential presence of POPs. A pilot area of 300 x 200 km located in the North Adriatic sea has been initially considered. The seasonal and climatological MODIS and MERIS CHL-a variability were retrieved and compared with in-situ forcing parameters, i.e. Po River discharge rates and wind data. Study outlooks include a better accuracy of the distribution of the vulnerable areas achieved through the use of additional parameters (CDOM, SST, POC), and an assessment of the contribution of the contaminants by atmospheric dry deposition to the marine environment.

Proceedings Article | 13 October 2014 Paper

Methods and metrics for the assessment of Pan-sharpening algorithms

Francesca Despini, Sergio Teggi, Andrea Baraldi

Proceedings Volume 9244, 924403 (2014) https://doi.org/10.1117/12.2067316

KEYWORDS: Image fusion, Sensors, Spatial resolution, Discrete wavelet transforms, Principal component analysis, Hyperspectral imaging, Multispectral imaging, Wavelet transforms, Image processing, Spectral resolution

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Recent remote sensing applications require sensors that provide both high spatial and spectral resolution, but this is often not possible for economic and constructive reasons. The "fusion" of images at different spatial and spectral resolution is a method widely used to solve this problem. Pan-sharpening techniques have been applied in this work to simulate PRISMA images. The work presented here is indeed part of the Italian Space Agency project “ASI-AGI”, which includes the study of a new platform, PRISMA, consisting of an hyperspectral sensor with a spatial resolution of 30 m and a panchromatic sensor with a spatial resolution of 5 m, for monitoring and understanding the Earth's surface. Firstly, PRISMA images have been simulated using images from MIVIS and Quickbird sensors. Then several existing fusion methods have been tested in order to identify the most suitable for the platform PRISMA in terms of spatial and spectral information preservation. Both standard and wavelet algorithms have been used: among the former there are Principal Component Analysis and Gram-Schmidt transform, and among the latter are Discrete Wavelet Transform and the “à trous” wavelet transform. Also the Color Normalized Spectral Sharpening method has been used. Numerous quality metrics have been used to evaluate spatial and spectral distortions introduced by pan-sharpening algorithms. Various strategies can be adopted to provide a final rank of alternative algorithms assessed by means of a battery of quality indexes. All implemented statistics have been standardized and then three different methodologies have been used to achieve a final score and thus a classification of pan-sharpening algorithms. Currently a new protocol is under development to evaluate the preservation of spatial and spectral information in fusion methods. This new protocol should overcome the limitations of existing alternative approaches and be robust to changes in the input dataset and user-defined parameters.

Proceedings Article | 24 October 2013 Paper

Attempt of identification of wet areas with ASTER images for archeological studies

Eleonora Bertacchini, Francesca Despini, Sergio Teggi, Alessandro Capra, Marco Dubbini

Proceedings Volume 8893, 88931L (2013) https://doi.org/10.1117/12.2029072

KEYWORDS: Vegetation, Satellites, Satellite imaging, Earth observing sensors, Reflectivity, Spatial resolution, Thermography, Infrared radiation, Soil science, Image processing

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Proceedings Article | 17 October 2013 Paper

Application of MAIAC high spatial resolution aerosol retrievals over Po Valley (Italy)

Barbara Arvani, Robert Pierce, Alexei Lyapustin, Yujie Wang, Sergio Teggi, Grazia Ghermandi

Proceedings Volume 8890, 88900P (2013) https://doi.org/10.1117/12.2029297

KEYWORDS: MODIS, Polonium, Aerosols, Satellites, Phase modulation, Atmospheric particles, Spatial resolution, Clouds, Air contamination, Statistical analysis

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Proceedings Article | 25 October 2012 Paper

SPOT5 imagery for soil salinity assessment in Iraq

S. Teggi, S. Costanzini, F. Despini, P. Chiodi, F. Immordino

Proceedings Volume 8538, 85380V (2012) https://doi.org/10.1117/12.974498

KEYWORDS: Soil science, Vegetation, Optical inspection, Agriculture, Satellites, Atmospheric corrections, Bismuth, Remote sensing, Satellite imaging, Earth observing sensors

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Proceedings Article | 27 October 2011 Paper

Improvement of the spatial resolution of MODIS coastal waters thermal mapping

S. Teggi, F. Despini, G. Ghermandi, M. Serafini

Proceedings Volume 8181, 81811L (2011) https://doi.org/10.1117/12.898006

KEYWORDS: MODIS, Spatial resolution, Thermography, Sensors, Image resolution, Vegetation, Remote sensing, Satellites, Image sensors, Photovoltaics

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Proceedings Article | 7 October 2009 Paper

Applications of Terra MODIS data for Iraq marshland monitoring

Francesca Despini, Sergio Teggi, Lorenza Bovio, Francesco Immordino

Proceedings Volume 7478, 74780Y (2009) https://doi.org/10.1117/12.830065

KEYWORDS: MODIS, Vegetation, Sensors, Spatial resolution, Atmospheric particles, Reflectivity, Image classification, Image segmentation, Radiative transfer, Atmospheric optics

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Proceedings Article | 12 November 2007 Paper

ASI-Sistema Rischio Vulcanico SRV: a pilot project to develop EO data processing modules and products for volcanic activity monitoring based on Italian Civil Protection Department requirements and needs

Maria Fabrizia Buongiorno, Massimo Musacchio, Malvina Silvestri, Claudia Spinetti, Stefano Corradini, Valerio Lombardo, Luca Merucci, Eugenio Sansosti, Sergio Pugnagli, Sergio Teggi, Gaetano Pace, Marco Fermi, Simona Zoffoli

Proceedings Volume 6749, 67491L (2007) https://doi.org/10.1117/12.752655

KEYWORDS: MODIS, Geographic information systems, Synthetic aperture radar, Satellites, Sensors, Data processing, Computing systems, Visualization, Space sensors, Global Positioning System

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Proceedings Article | 12 November 2007 Paper

Application of CIRILLO: a new atmospheric correction tool on Castel Porziano Beach (CPB)

M. Musacchio, S. Amici, M. Silvestri, S. Teggi, M. Buongiorno, S. Silenzi, S. Devoti

Proceedings Volume 6749, 674935 (2007) https://doi.org/10.1117/12.752670

KEYWORDS: Atmospheric corrections, Reflectivity, Sensors, Statistical analysis, Data acquisition, Short wave infrared radiation, Atmospheric sensing, Scanning electron microscopy, Minerals, Satellites

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Showing 5 of 9 publications

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