Analisi su aree urbanizzate mediante tecniche MIVIS. Applicazione a Pomezia (RM)

This paper is aimed at investigating a portion of the territory of the Municipality of Pomezia (Rome) by means of remotely sensed data. The airborne MIVIS (Multispectral Infrared and Visible Imaging Spectrometer) imagery was acquired from an altitude of 1500 m. The high spectral and good spatial resolution of the MIVIS sensor allowed to provide important information helping us study and better understand complex and diversified situations, such as anthropized areas. The site taken into consideration for this study belongs to the city of Pomezia. Founded more than 70 years ago as rural suburb, Pomezia has become an important industrial district of Lazio Region thanks to its location near Rome and to the fund for the development of Southern Italy. This led to a massive industrialization up to the 90s, a period when industrial activities and urban areas evolved very rapidly, in part without a urban planning, followed by a progressive de-industrialization process which is still under way. MIVIS data processing technique, through the classification of objects and materials within urban areas, allowed us to discriminate, with a good level of detail, the distribution of the different spectral classes. Moreover, from a first reading of the View Statistics Files, we can deduce considerations on the evolution of the territory, emphasizing some important environmental aspects, such as the diffuse waterproofing of soils. In fact, we can notice a situation of messy urban and industrial areas growth with high percentages of waterproofed surfaces, impossible or difficult to reverse. This is a serious environmental issue which led to the loss of vegetation surfaces, increasing negative effects both on the biodiversity and landscape quality which bring about the dissipation of valuable resources that will represent a serious concern for the environment

Stima della Presenza di Coperture in Cemento-amianto nel Territorio della Regione Lazio

Lo studio è parte di un più vasto impegno di ricerca sul tema della mappatura delle coperture in cemento-amianto svolto da ricercatori del CNR–INSEAN. Il presente lavoro svolto in collaborazione con i ricercatori di ISPRA e DIAP, riporta i risultati preliminari, volti a valutare le potenzialità dei dati CORINE Land Cover per fornire delle stime sulla presenza di coperture in cemento-amianto nel territorio della Regione Lazio, che permettano di sopperire alla carenza e disomogeneità dei dati. In particolare, con tecniche GIS sono stati integrati sia dati cartografici CORINE Land Cover disponibili a livello nazionale, sia dati del censimento amianto realizzato ai fini del DM (Decreto Legislativo) 101 del 2003, nonché altri dati MIVIS selezionati per aree rappresentative dell’uso del suolo a livello regionale. I risultati ottenuti, pur necessitando di ulteriori verifiche metodologiche, possono essere considerati incoraggianti, aprendo ad un possibile uso della metodologia per fornire stime attendibili di coperture in cemento-amianto su tutto il territorio nazionale

A System for Monitoring the Environment of Historic Places Using Convolutional Neural Network Methodologies

This work aims to contribute to better understanding the use of public street spaces. (1) Background: In this sense, with a multidisciplinary approach, the objective of this work is to propose an experimental and reproducible method on a large scale. (2) Study area: The applied methodology uses artificial intelligence to analyze Google Street View (GSV) images at street level. (3) Method: The purpose is to validate a methodology that allows us to characterize and quantify the use (pedestrians and cars) of some squares in Rome belonging to different historical periods. (4) Results: Through the use of machine vision techniques, typical of artificial intelligence and which use convolutional neural networks, a historical reading of some selected squares is proposed, with the aim of interpreting the dynamics of use and identifying some critical issues in progress. (5) Conclusions: This work validated the usefulness of a method applied to the use of artificial intelligence for the analysis of GSV images at street level

Estimation of asbestos-cement roofing in the territory of the Lazio Region

This study is part of a wider research effort on the issue of asbestos-cement roofing mapping carried out by CNR-INSEAN researchers. This work carried out in collaboration with the ISPRA and DIAP researchers (Fac. Engineering, La Sapienza University), lists the preliminary results, that aim to evaluate the potential of CORINE Land Cover data, in order to provide estimates on the presence of asbestos-cement roofing in the territory of the Lazio Region so it overcomes the lack of data and homogeneity. Particularly with GIS techniques, both CORINE Land Cover cartographic data available at national level, as well as asbestos census data for the purposes of the Decreto Ministeriale n. 101/2003, as well as other MIVIS data selected for areas representative of the use of the soil at regional level. The results obtained, although requiring further methodological verification, can be considered encouraging, opening up to a possible use of the methodology to provide reliable estimates of asbestos-cement roofs throughout the country