Data gathering guidelines for the mapping of environmental sensitivity to oil spill of the Italian coastlines

Cumo, Fabrizio; Cinquepalmi, F.; Garcia, Davide Astiaso

doi:10.2495/cenv080111

Cited by 9 publications

(7 citation statements)

References 3 publications

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“…As tested in other research studies about environmental management and impact factors analysis of the same research team [44][45][46][47], GIS software will be used for the elaboration geographic databases useful for identifying areas characterised by critical values. As regards the number of persons interviewed, we have considered a sample of 130 people for each municipality.…”

Section: Fields Of Application and Case Studies Expected In Futurementioning

confidence: 99%

Assessment of a urban sustainability and life quality index for elderly

Garcia¹,

Cumo²,

Pennacchia³

et al. 2017

Int. J. SDP

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The research here presented originates from some of the ongoing challenges of our society: the demographic changes and the high share of population living in urban areas. The aim of the research is the definition of an index of sustainability and quality of life for elderly at suburban scale, not only able to outline aspects related to the local territorial context but also to represent the neighbourhood level. This would provide significant added value to existing indicators that represent the quality of life for much larger areas as cities, regions and nations. Indeed, it is universally recognised that the quality of life varies quite considerably depending on whether you live in different neighbourhoods or urban areas. The index proposed with the research is elaborated on the base of objective and subjective indicators integrated with the judgment of experts, in order to give an accurate and truthful weight to each indicator. Moreover, it has been elaborated for microscale analysis, dividing urban areas into cells, in order to highlight more in detail the real needs of each specific zone. As a result, the elaborated index would be an available tool to be provided to the local public administration to facilitate and optimise the urban planning and management, prioritizing interventions on the base of the sustainability principles and subjective needs of the population, in particular of elderly.

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Section: Fields Of Application and Case Studies Expected In Futurementioning

confidence: 99%

Assessment of a urban sustainability and life quality index for elderly

Garcia¹,

Cumo²,

Pennacchia³

et al. 2017

Int. J. SDP

Self Cite

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“…Therefore, updated land cover mapping could play an essential role in maintaining the harmony between the city and the hinterland. The Copernicus programme formerly (GMES), Global Monitoring for Environment and Security, is an operational programme of earth observation, which made the access to satellite based information timely and easily in many application domains such as: land [17] [19], marine [20][21][22], atmosphere [23][24], emergency response [25], climate change [26], Security and Safety [27].…”

Section: Introductionmentioning

confidence: 99%

Land Cover Classification by using Sentinel-2 Images: A case study in the city of Rome

Nezhad¹,

Heydari²,

Fusilli³

et al. 2019

World Congress on Civil, Structural, and Environmental Engineering

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Land cover mapping of land area in Mediterranean climate regions from satellite images is not simple, due to the similarity of the spectral characteristics of the urban area and city surroundings. In this study, satellite images from Sentinel 2A by ESA (European Space Agency) were used to classify the land cover of Rome city, Italy. This paper presents two methods aiming at improving the land cover classification accuracy by using multispectral satellite images. The classification process was performed by using two different algorithms, namely: Maximum Likelihood (ML) and Support Vector Machine (SVM). The supervised "Maximum Likelihood" and "Support Vector Machine" classification algorithms available in ENVI (Environment for Visualizing Images) software, were used to detect five land cover classes: urban, forest, water, agriculture and empty land classes. The results show the ML method applied to Sentinel-2A images provides a higher overall accuracy and kappa coefficient than the SVM method. The main reasons are to increase two amounts in the ML method and over the next few years in this study, first: carry out three steps for increase accuracy and kappa with Sieve Classes, Clump Classes and Majority/Minority Analysis. And second reason the most accurate classification for both approaches was allocated to the year 2018, possibly due to the higher image quality and on-time training sample sites compared to previous 2015, 2016, 2017 years. The results of both methods in this study have been compared.

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“…Suspended sediments not only play an important role on the ecosystem [13] and the environment [14], on water quality [15], nutrient circulation [15], fish and shellfish populations [17], but also in the analysis of crust evolution [18], climate changes [19] and biogeochemical cycling of pollutants [20], and oil spill dispersion [21][22][23], impact [24] and risk [25]- [26]. Many factors can affect the suspended sediment distribution in the coastal sea and ocean waters: e.g.…”

Section: Introductionmentioning

confidence: 99%

A Sediment Detection Analysis with Multi Sensor Satellites: Caspian Sea and Persian Gulf case studies

Nezhad¹,

Groppi²,

Marzialetti³

et al. 2019

World Congress on Civil, Structural, and Environmental Engineering

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Nowadays the use of multi sensor satellite data for developing and mapping the distribution of suspended particulates in coastal area, sea and ocean waters is increasing in many sciences including environmental and marine studies. This study focuses on using remote sensing satellite images to monitor and detect Suspended Sediment (SS) event of coastal areas. MODIS (or Moderate Resolution Imaging Spectroradiometer)-Terra satellite sensor data (9 Jun 2018) of the east coast of Caspian Sea (between Turkmenistan and Iran) and the north-western of Persian Gulf (between Iran, Iraq, Kuwait) were used. For detecting Suspended Sediments Event (SSE) low-spatial resolution (250-1000m) sea and ocean color satellites data can be used. Multi-spectral sensor satellite images over the Caspian Sea and Persian Gulf have been analyzed to detect, to characterize and to classify suspended sediments in this part. Moreover, this paper discusses suspended sediments detection by using multi sensor satellite images and spectrum matching has been used to identify the sediments areas. In particular through the spectrum matching the direct identification of specific materials has been carried out via the extraction of the specific spectral features. ENVI software has been used to carry out the analysis. Using this software, the suspended sediments close to the coastal area have been successfully detected.

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Data gathering guidelines for the mapping of environmental sensitivity to oil spill of the Italian coastlines

Abstract: This paper is part of a project

Cited by 9 publications

References 3 publications

Assessment of a urban sustainability and life quality index for elderly

Assessment of a urban sustainability and life quality index for elderly

Land Cover Classification by using Sentinel-2 Images: A case study in the city of Rome

A Sediment Detection Analysis with Multi Sensor Satellites: Caspian Sea and Persian Gulf case studies

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