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The increasing accessibility of Synthetic Aperture Radar (SAR) and Light Detection and Ranging (LiDAR) data, grants the opportunity to experiment new methods to support disaster risk management. However, while SAR analyses are becoming extremely popular, thanks, in particular, to the availability of open source satellite images such as those from the Copernicus project, LiDAR analyses are still less common because of the scarce availability of this type of data over significant time frequencies. In this paper we propose an innovative procedure based on the use of SAR and LiDAR data to rapidly assess seismic damage in the early post-emergency phases. The methodology was applied to the case study of the town of Amatrice (Central Italy), which was hit by a strong earthquake swarm that started in August 2016. Specifically, SAR data is used for a large-scale analysis of terrain displacements following the seismic event, while LiDAR reliefs are used to carry out a change detection and to identify the level of damage at a building-scale in the urban settlement of Amatrice. Results will show how the proposed approach can be extremely effective both in the non-emergency phases to monitor seismic-affected areas and support emergency planning, as well as during the immediate post-earthquake phases to assess the damage it has caused and to support first aid dispositions.
Lucia Saganeiti; Federico Amato; Gabriele Nolè; Marco Vona; Beniamino Murgante. Early estimation of ground displacements and building damage after seismic events using SAR and LiDAR data: The case of the Amatrice earthquake in central Italy, on 24th August 2016. International Journal of Disaster Risk Reduction 2020, 51, 101924 .
AMA StyleLucia Saganeiti, Federico Amato, Gabriele Nolè, Marco Vona, Beniamino Murgante. Early estimation of ground displacements and building damage after seismic events using SAR and LiDAR data: The case of the Amatrice earthquake in central Italy, on 24th August 2016. International Journal of Disaster Risk Reduction. 2020; 51 ():101924.
Chicago/Turabian StyleLucia Saganeiti; Federico Amato; Gabriele Nolè; Marco Vona; Beniamino Murgante. 2020. "Early estimation of ground displacements and building damage after seismic events using SAR and LiDAR data: The case of the Amatrice earthquake in central Italy, on 24th August 2016." International Journal of Disaster Risk Reduction 51, no. : 101924.
Soil erosion in fired areas is one of the main environmental problem involves degrading the quality of the soil and reducing the productivity of the affected lands. The aim of this work is to implement a procedure that analyzes the change detection of the potential soil eroded in a burned area, and discriminate the amount of potential soil loss. As part of the MESARIP project (in agreement with the Regional Civil Protection) in order to implement the analyses of soil erosion pre and post fire event, using Sentinel 2 data and with the RUSLE (Revised Universal Soil Loss Equation) method in a GIS open source environment, a graphical model has been developed. The application of the RUSLE requires a series of consequential spatial analysis elaborations and, according to this scheme, the model has been developed with the Graphical Modeler. QGIS contains in a single environment a multiplicity of tools and algorithms native to other open source GIS software, such as, for example, SAGA GIS and GRASS GIS. The user interface is very simple and requires basic and thematic input data such as DEM, MASK areas or vegetation indices etc. The advantages in the construction of the model can be identified in the standardization of map algebra operations and also in the speed of execution of the steps. Currently the model has been tested in some burned areas in 2019 located in the northern part of the Apulia Region and will be tested in operational mode during the 2020 summer season.
Gabriele Nolè; Valentina Santarsiero; Antonio Lanorte; Biagio Tucci; Vito Augusto Capurso; Francesco Vito Ronco; Beniamino Murgante. Model of Post Fire Erosion Assessment Using RUSLE Method, GIS Tools and ESA Sentinel DATA. Transactions on Petri Nets and Other Models of Concurrency XV 2020, 12253, 505 -516.
AMA StyleGabriele Nolè, Valentina Santarsiero, Antonio Lanorte, Biagio Tucci, Vito Augusto Capurso, Francesco Vito Ronco, Beniamino Murgante. Model of Post Fire Erosion Assessment Using RUSLE Method, GIS Tools and ESA Sentinel DATA. Transactions on Petri Nets and Other Models of Concurrency XV. 2020; 12253 ():505-516.
Chicago/Turabian StyleGabriele Nolè; Valentina Santarsiero; Antonio Lanorte; Biagio Tucci; Vito Augusto Capurso; Francesco Vito Ronco; Beniamino Murgante. 2020. "Model of Post Fire Erosion Assessment Using RUSLE Method, GIS Tools and ESA Sentinel DATA." Transactions on Petri Nets and Other Models of Concurrency XV 12253, no. : 505-516.
Fires are one of the main causes of environmental degradation as they have an impact on flora and fauna, can also strongly influence ecological and geomorphological processes and permanently compromise the functionality of the ecosystems and soils on which they impact. The severity of the fire event influences the superficial hydrological response and the consequent loss of soil. Precipitation on the basins recently affected by fires produces an increase in the outflow which commonly transports and deposits large volumes of sediment, both inside and downstream of the burned area. In the years following the fire, the loss of soil is very high and the degradation processes of the soils are much greater than in the pre-event. The aim of this study is to evaluate the potential annual loss due to post-fire erosion using remote sensing techniques, RUSLE (Revised Universal Soil Loss Equation) methodology and GIS tecniques in nine different event occurred in 2019 in the northern part of the Apulia Region (Southern Italy). Geographic Information System techniques and remote sensing data have been adopted to study the post-fire soil erosion risk. Satellite images are the most appropriate for environmental monitoring as they provide high resolution multispectral optical images, infact are able to monitor the development of vegetation by assessing the water content an changes in chlorophyll levels. This study can be useful to spatial planning authorities as a tool for assessing and monitoring eroded soil in areas affected by fires, representing a useful tool for land management.
Valentina Santarsiero; Gabriele Nolè; Antonio Lanorte; Biagio Tucci; Lucia Saganeiti; Angela Pilogallo; Francesco Scorza; Beniamino Murgante. Assessment of Post Fire Soil Erosion with ESA Sentinel-2 Data and RUSLE Method in Apulia Region (Southern Italy). Transactions on Petri Nets and Other Models of Concurrency XV 2020, 12252, 590 -603.
AMA StyleValentina Santarsiero, Gabriele Nolè, Antonio Lanorte, Biagio Tucci, Lucia Saganeiti, Angela Pilogallo, Francesco Scorza, Beniamino Murgante. Assessment of Post Fire Soil Erosion with ESA Sentinel-2 Data and RUSLE Method in Apulia Region (Southern Italy). Transactions on Petri Nets and Other Models of Concurrency XV. 2020; 12252 ():590-603.
Chicago/Turabian StyleValentina Santarsiero; Gabriele Nolè; Antonio Lanorte; Biagio Tucci; Lucia Saganeiti; Angela Pilogallo; Francesco Scorza; Beniamino Murgante. 2020. "Assessment of Post Fire Soil Erosion with ESA Sentinel-2 Data and RUSLE Method in Apulia Region (Southern Italy)." Transactions on Petri Nets and Other Models of Concurrency XV 12252, no. : 590-603.
The use of plastic materials in agriculture involves several benefits but it results in huge quantities of agricultural plastic waste to be disposed of. Input and output data on the use of plastics in agriculture are often difficult to obtain and poor waste management schemes have been developed. The present research aims to estimate and map agricultural plastic waste by using satellite images. Waste was evaluated by means of the indexes relating waste production to crop type and plastic application as defined by the land use map realized by classifying the Landsat 8 image. The image classification was carried out using Support Vector Machines (SVMs), and the accuracy assessment showed that the overall accuracy was 94.54% and the kappa coefficient equal to 0.934. Data on the plastic waste obtained by the satellite land use map were compared with the data obtained by using the institutional land use map; a difference of 1.74% was identified on the overall quantity of waste
Antonio Lanorte; Fortunato De Santis; Gabriele Nolè; Ileana Blanco; Rosa Viviana Loisi; Evelia Schettini; Giuliano Vox. Agricultural plastic waste spatial estimation by Landsat 8 satellite images. Computers and Electronics in Agriculture 2017, 141, 35 -45.
AMA StyleAntonio Lanorte, Fortunato De Santis, Gabriele Nolè, Ileana Blanco, Rosa Viviana Loisi, Evelia Schettini, Giuliano Vox. Agricultural plastic waste spatial estimation by Landsat 8 satellite images. Computers and Electronics in Agriculture. 2017; 141 ():35-45.
Chicago/Turabian StyleAntonio Lanorte; Fortunato De Santis; Gabriele Nolè; Ileana Blanco; Rosa Viviana Loisi; Evelia Schettini; Giuliano Vox. 2017. "Agricultural plastic waste spatial estimation by Landsat 8 satellite images." Computers and Electronics in Agriculture 141, no. : 35-45.
The spread of new satellite and LiDAR data is recently leading to the development of effective methodologies to support the monitoring and management of disaster risks, assessing the level of damages in the very early post-event phase. The increasing availability of SAR images and the diffusion of LiDAR data due to technologies such as solutions such as drones offers the opportunity to experiment new techniques for monitoring the territory. The paper will examine the case study of Amatrice (Central Italy), the Municipality most affected by the seismic swarm started in August 2016, and discuss the results obtained with the technique of interferometric differentiation and detection of change.
Lucia Saganeiti; Federico Amato; Michele Potleca; Gabriele Nolè; Marco Vona; Beniamino Murgante. Change Detection and Classification of Seismic Damage with LiDAR and RADAR Surveys in Supporting Emergency Planning. The Case of Amatrice. Transactions on Petri Nets and Other Models of Concurrency XV 2017, 10407, 722 -731.
AMA StyleLucia Saganeiti, Federico Amato, Michele Potleca, Gabriele Nolè, Marco Vona, Beniamino Murgante. Change Detection and Classification of Seismic Damage with LiDAR and RADAR Surveys in Supporting Emergency Planning. The Case of Amatrice. Transactions on Petri Nets and Other Models of Concurrency XV. 2017; 10407 ():722-731.
Chicago/Turabian StyleLucia Saganeiti; Federico Amato; Michele Potleca; Gabriele Nolè; Marco Vona; Beniamino Murgante. 2017. "Change Detection and Classification of Seismic Damage with LiDAR and RADAR Surveys in Supporting Emergency Planning. The Case of Amatrice." Transactions on Petri Nets and Other Models of Concurrency XV 10407, no. : 722-731.
A limited sector of the left side Sinni River, including Episcopia village, has been investigated matching geological and geomorphological data to In-SAR Interferometry analysis. A large Deep-Seated Gravitational Slopes (DSGSD), affecting the Episcopia slope, has been documented for the first time. The DSGSD largely develops within phyllites belonging to the Liguride Units and, in the upper portion of the slope, within the sandy and conglomerate deposits of the Sant’Arcangelo Basin. Field survey has shown typical DSGSD features as well as trenches at the top and an evident bulge at the base corresponding to the Sinni River. These data allow us to hypothesize a listric geometry of the DSGSD plane reaching a depth of about 700 m.
Mario Bentivenga; Salvatore Ivo Giano; Lucia Saganeiti; Gabriele Nolè; Giuseppe Palladino; Giacomo Prosser; Beniamino Murgante. Deep-Seated Gravitational Slope Deformation in Urban Areas Matching Field and in-SAR Interferometry Surveys: The Case Study of the Episcopia Village, Southern Italy. Transactions on Petri Nets and Other Models of Concurrency XV 2017, 10407, 662 -674.
AMA StyleMario Bentivenga, Salvatore Ivo Giano, Lucia Saganeiti, Gabriele Nolè, Giuseppe Palladino, Giacomo Prosser, Beniamino Murgante. Deep-Seated Gravitational Slope Deformation in Urban Areas Matching Field and in-SAR Interferometry Surveys: The Case Study of the Episcopia Village, Southern Italy. Transactions on Petri Nets and Other Models of Concurrency XV. 2017; 10407 ():662-674.
Chicago/Turabian StyleMario Bentivenga; Salvatore Ivo Giano; Lucia Saganeiti; Gabriele Nolè; Giuseppe Palladino; Giacomo Prosser; Beniamino Murgante. 2017. "Deep-Seated Gravitational Slope Deformation in Urban Areas Matching Field and in-SAR Interferometry Surveys: The Case Study of the Episcopia Village, Southern Italy." Transactions on Petri Nets and Other Models of Concurrency XV 10407, no. : 662-674.
The 2030 Agenda by United Nations highlights the necessity of undertake concrete actions to “protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss”. However, human activities on land use are strongly threatening habitat quality, causing their fragmentation and a dramatic loss of biodiversity all over the world. This paper proposes an application of the InVEST Habitat Quality model as a tool to support the definition of sustainable development policies able to favour the preservation of habitat structures while promoting their exploitation as cultural and landscape assets. The model is applied to the Basilicata Region (Southern Italy). Results show how modelling the impacts of human activities on biodiversity and ecosystem services can strongly help planning activities in distinguish those areas that should undergo to a conservation regime to preserve habitat integrity from those which are most prone to transformations, taking advantage by the social and economic benefit deriving from the human activities connected to their use.
Rosa Epifani; Federico Amato; Beniamino Murgante; Gabriele Nolé. A Quantitative Measure of Habitat Quality to Support the Implementation of Sustainable Urban Planning Measures. Transactions on Petri Nets and Other Models of Concurrency XV 2017, 10409, 585 -600.
AMA StyleRosa Epifani, Federico Amato, Beniamino Murgante, Gabriele Nolé. A Quantitative Measure of Habitat Quality to Support the Implementation of Sustainable Urban Planning Measures. Transactions on Petri Nets and Other Models of Concurrency XV. 2017; 10409 ():585-600.
Chicago/Turabian StyleRosa Epifani; Federico Amato; Beniamino Murgante; Gabriele Nolé. 2017. "A Quantitative Measure of Habitat Quality to Support the Implementation of Sustainable Urban Planning Measures." Transactions on Petri Nets and Other Models of Concurrency XV 10409, no. : 585-600.
Landscape preservation in Italy is a major issue in national cultural heritage conservation policies. Urban settlements growth is among the most threatening factors for the correct landscape preservation. Such phenomenon may result in corrupting the correct landscape-system functioning, particularly when the development occurs without precise planning prescriptions. Land-use/cover evolution dynamic is a subject widely and thoroughly investigated, especially concerning consumption of natural and other lands due to anthropogenic activities. This paper focuses on a region in southern Italy, where soil consumption is known to represent a urging matter of concern. However, although the negative impacts of soil consumption are well known, to our knowledge there are no case studies presenting a precise quantitative assessment of the intensity of such phenomenon for the region of interest. Furthermore, this study aims at forecasting the development of urban settlements through the application of the cellular automata model SLEUTH; the case study concerns the Municipality of Altamura (Apulia region, Italy). Results highlight how current landscape preservation instruments alone cannot ensure a reduction in soil consumption phenomenon and how urban areas expansion is incompatible with a correct landscape conservation in the study area
Federico Amato; Federico Martellozzo; Gabriele Nolè; Beniamino Murgante. Preserving cultural heritage by supporting landscape planning with quantitative predictions of soil consumption. Journal of Cultural Heritage 2017, 23, 44 -54.
AMA StyleFederico Amato, Federico Martellozzo, Gabriele Nolè, Beniamino Murgante. Preserving cultural heritage by supporting landscape planning with quantitative predictions of soil consumption. Journal of Cultural Heritage. 2017; 23 ():44-54.
Chicago/Turabian StyleFederico Amato; Federico Martellozzo; Gabriele Nolè; Beniamino Murgante. 2017. "Preserving cultural heritage by supporting landscape planning with quantitative predictions of soil consumption." Journal of Cultural Heritage 23, no. : 44-54.
The negative impacts of land take on natural components and economic resources affect planning choices and territorial policies. The importance of land take monitoring, in Italy, has been only recently considered, but despite this awareness, in the great part of the country, effective monitoring and containment measures have not been started, yet. This research proposes a methodology to map and monitor land use changes. To this end, a time series from 1985–2010, based on the multi-temporal Landsat data Thematic Mapper (TM), has been analyzed in the Vulture Alto-Bradano area, a mountain zone of the Basilicata region (Southern Italy). Results confirm a double potentiality of using these data: on the one hand, the use of multi-temporal Landsat data allows going very back in time, producing accurate datasets that provide a phenomenon trend over time; on the other hand, these data can be considered a first experience of open data in the field of spatial information. The proposed methodology provides agencies, local authorities and practitioners with a valuable tool to implement monitoring actions. This represents the first step to pursue territorial governance methods based on sustainability, limiting the land take.
Flavia Di Palma; Federico Amato; Gabriele Nolè; Federico Martellozzo; Beniamino Murgante. A SMAP Supervised Classification of Landsat Images for Urban Sprawl Evaluation. ISPRS International Journal of Geo-Information 2016, 5, 109 .
AMA StyleFlavia Di Palma, Federico Amato, Gabriele Nolè, Federico Martellozzo, Beniamino Murgante. A SMAP Supervised Classification of Landsat Images for Urban Sprawl Evaluation. ISPRS International Journal of Geo-Information. 2016; 5 (7):109.
Chicago/Turabian StyleFlavia Di Palma; Federico Amato; Gabriele Nolè; Federico Martellozzo; Beniamino Murgante. 2016. "A SMAP Supervised Classification of Landsat Images for Urban Sprawl Evaluation." ISPRS International Journal of Geo-Information 5, no. 7: 109.
Among the objectives of the Sustainable Development Goals by United Nations, “Affordable and Clean Energy” aims at ensuring access to affordable, reliable, sustainable and modern energy for all. However, in Europe there is not a precise understanding of the unleashed potential that could be achieved through the exploitation of solar and wind resources. This study presents an application to retrieve spatial explicit estimates of Direct Normal Irradiance (DNI) through the use of data from geo-stationary satellites. The energetic demand of large metropolitan areas in Europe is then retrieved and compared with the potential production of energy for domestic use through solar panels. Results of this comparison are presented based on the assumption that only the 1 % of the built up area could be covered with solar panels, and hence devoted to energy production. Outcomes suggest that even such a little coverage, if spread systematically over urban areas can in most of the cases satisfy urban population domestic needs
Federico Amato; Federico Martellozzo; Beniamino Murgante; Gabriele Nolè. Urban Solar Energy Potential in Europe. Computer Vision 2016, 443 -453.
AMA StyleFederico Amato, Federico Martellozzo, Beniamino Murgante, Gabriele Nolè. Urban Solar Energy Potential in Europe. Computer Vision. 2016; ():443-453.
Chicago/Turabian StyleFederico Amato; Federico Martellozzo; Beniamino Murgante; Gabriele Nolè. 2016. "Urban Solar Energy Potential in Europe." Computer Vision , no. : 443-453.
Urban sprawl phenomenon is one of the higher threats to the preservation of soil resources. Soil consumption is strongly related to social and economic factors that characterize a territory. Several models have been developed to recreate future scenarios based on past expansion development dynamics. Among cellular automata models for urban growth simulation, SLEUTH is considered as an effective tool to support urban management. However, the model does not explicitly include demographic dynamics and socio-economic ones. This paper compares the results of two different simulations performed on the same study area through the SLEUTH model. While the first simulation is performed using the classical method of calibration of the model, the second one proposes the inclusion of some socio-economic variables within the simulation process. The results show a better match with the actual development trends of settlement by the simulation that takes into account the social and economic aspects of the analysed territory.
Benedetto Manganelli; Flavia Di Palma; Federico Amato; Gabriele Nolè; Beniamino Murgante. The Effects of Socio-Economic Variables in Urban Growth Simulations. Procedia - Social and Behavioral Sciences 2016, 223, 371 -378.
AMA StyleBenedetto Manganelli, Flavia Di Palma, Federico Amato, Gabriele Nolè, Beniamino Murgante. The Effects of Socio-Economic Variables in Urban Growth Simulations. Procedia - Social and Behavioral Sciences. 2016; 223 ():371-378.
Chicago/Turabian StyleBenedetto Manganelli; Flavia Di Palma; Federico Amato; Gabriele Nolè; Beniamino Murgante. 2016. "The Effects of Socio-Economic Variables in Urban Growth Simulations." Procedia - Social and Behavioral Sciences 223, no. : 371-378.
For more than a decade, the European Union recognizes soil as a common good and considers it as a finite resource of inestimable value. The European Union defines it as the “upper layer of earth’s crust, formed by mineral particles, organic matter, water, air and living organisms”. Despite such definitions, usually, planning choices do not take into account the need to reduce soil consumption to build up resilience. This paper presents the controversial case of Agri Valley (Basilicata, Southern Italy); on the one hand, this region is characterized by the presence of extremely valuable land, because of the exceptional degree of soil fertility; on the other hand, Valdagri is also known to have one of the largest oilfields of Europe. An application built around the SLEUTH model was developed in order to produce a simulation and an estimate of the extent to which urban areas may grow in the near future. Results confirm that urban policies implemented so far by local governments—which aimed almost exclusively to favor industrial development—irreversibly threaten the integrity of the natural values of the valley.
Federico Amato; Biagio Antonio Maimone; Federico Martellozzo; Gabriele Nolè; Beniamino Murgante. The Effects of Urban Policies on the Development of Urban Areas. Sustainability 2016, 8, 297 .
AMA StyleFederico Amato, Biagio Antonio Maimone, Federico Martellozzo, Gabriele Nolè, Beniamino Murgante. The Effects of Urban Policies on the Development of Urban Areas. Sustainability. 2016; 8 (4):297.
Chicago/Turabian StyleFederico Amato; Biagio Antonio Maimone; Federico Martellozzo; Gabriele Nolè; Beniamino Murgante. 2016. "The Effects of Urban Policies on the Development of Urban Areas." Sustainability 8, no. 4: 297.
Landuse/cover evolution dynamic is a subject widely and thoroughly investigated, especially concerning consumption of natural and other lands, due to anthropogenic activities. This paper focuses on a region in southern Italy, where soil consumption is known to represent a urging matter of concern. However, although negative impacts of soil consumption are well known, to our knowledge there are no case studies presenting a precise quantitative measurement of the intensity of such phenomenon for the region of interest. This study aims at forecasting the development of urban settlements through the application of the cellular automata model SLEUTH; the first region to be investigated has been the Municipality of Altamura (Apulia region, Italy). This area has been used as a pilot case study to explore many difficulties and advantages in applying such a methodology to the whole southern Italian region. The final goal was to frame and populate an atlas of soil consumption in southern Italy, which intends to offer useful support to sustainable planning and policies.
Federico Amato; Federico Martellozzo; Beniamino Murgante; Gabriele Nolè. A Quantitative Prediction of Soil Consumption in Southern Italy. Transactions on Petri Nets and Other Models of Concurrency XV 2015, 798 -812.
AMA StyleFederico Amato, Federico Martellozzo, Beniamino Murgante, Gabriele Nolè. A Quantitative Prediction of Soil Consumption in Southern Italy. Transactions on Petri Nets and Other Models of Concurrency XV. 2015; ():798-812.
Chicago/Turabian StyleFederico Amato; Federico Martellozzo; Beniamino Murgante; Gabriele Nolè. 2015. "A Quantitative Prediction of Soil Consumption in Southern Italy." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 798-812.
Gabriele Nolè; Beniamino Murgante; Giuseppe Calamita; Antonio Lanorte; Rosa Lasaponara. Evaluation of urban sprawl from space using open source technologies. Ecological Informatics 2015, 26, 151 -161.
AMA StyleGabriele Nolè, Beniamino Murgante, Giuseppe Calamita, Antonio Lanorte, Rosa Lasaponara. Evaluation of urban sprawl from space using open source technologies. Ecological Informatics. 2015; 26 ():151-161.
Chicago/Turabian StyleGabriele Nolè; Beniamino Murgante; Giuseppe Calamita; Antonio Lanorte; Rosa Lasaponara. 2015. "Evaluation of urban sprawl from space using open source technologies." Ecological Informatics 26, no. : 151-161.