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The study of land cover and land use dynamics are fundamental to understanding the radical changes that human activity is causing locally and globally and to analyse the continuous metamorphosis of landscape. In Europe, the Copernicus Program offers numerous territorial monitoring tools to users and decision makers, such as Sentinel data. This research aims at developing and implementing a land cover mapping and change detection methodology through the classification of Copernicus Sentinel-1 and Sentinel-2 satellite data. The goal is to create a versatile and economically sustainable algorithm capable of rapidly processing large amounts of data, allowing the creation of national-scale products with high spatial resolution and update frequency for operational purposes. Great attention was paid to compatibility with the main activities planned in the near future at the national and European level. In this sense, a land cover classification system consistent with the European specifications of the EAGLE group has been adopted. The methodology involves the definition of distinct sets of decision rules for each of the land cover macro-classes and for the land cover change classes. The classification refers to pixels’ spectral and backscatter characteristics, exploiting the main multi-temporal indices while proposing two new ones: the NDCI to distinguish between broad-leaved and needle-leaved trees, and the Burned Index (BI) to identify burned areas. This activity allowed for the production of a land cover map for 2018 and the change detection related to forest disturbances and land consumption for 2017–2018, reaching an overall accuracy of 83%.
Paolo De Fioravante; Tania Luti; Alice Cavalli; Chiara Giuliani; Pasquale Dichicco; Marco Marchetti; Gherardo Chirici; Luca Congedo; Michele Munafò. Multispectral Sentinel-2 and SAR Sentinel-1 Integration for Automatic Land Cover Classification. Land 2021, 10, 611 .
AMA StylePaolo De Fioravante, Tania Luti, Alice Cavalli, Chiara Giuliani, Pasquale Dichicco, Marco Marchetti, Gherardo Chirici, Luca Congedo, Michele Munafò. Multispectral Sentinel-2 and SAR Sentinel-1 Integration for Automatic Land Cover Classification. Land. 2021; 10 (6):611.
Chicago/Turabian StylePaolo De Fioravante; Tania Luti; Alice Cavalli; Chiara Giuliani; Pasquale Dichicco; Marco Marchetti; Gherardo Chirici; Luca Congedo; Michele Munafò. 2021. "Multispectral Sentinel-2 and SAR Sentinel-1 Integration for Automatic Land Cover Classification." Land 10, no. 6: 611.
Land consumption is the increase in artificial land cover, which is a major issue for environmental sustainability. In Italy, the Italian Institute for Environmental Protection and Research (ISPRA) and National System for Environmental Protection (SNPA) have the institutional duty to monitor land consumption yearly, through the photointerpretation of high-resolution images. This study intends to develop a methodology in order to produce maps of land consumption, by the use of the semi-automatic classification of multitemporal images, to reduce the effort of photointerpretation in detecting real changes. The developed methodology uses vegetation indices calculated over time series of images and decision rules. Three variants of the methodology were applied to detect the changes that occurred in Italy between the years 2018 and 2019, and the results were validated using ISPRA official data. The results show that the produced maps include large commission errors, but thanks to the developed methodology, the area to be photointerpreted was reduced to 7300 km2 (2.4% of Italian surface). The third variant of the methodology provided the highest detection of changes: 70.4% of the changes larger than 100 m2 (the pixel size) and over 84.0% of changes above 500 m2. Omissions are mainly related to single pixel changes, while larger changes are detected by at least one pixel in most of the cases. In conclusion, the developed methodology can improve the detection of land consumption, focusing photointerpretation work over selected areas detected automatically.
Tania Luti; Paolo De Fioravante; Ines Marinosci; Andrea Strollo; Nicola Riitano; Valentina Falanga; Lorella Mariani; Luca Congedo; Michele Munafò. Land Consumption Monitoring with SAR Data and Multispectral Indices. Remote Sensing 2021, 13, 1586 .
AMA StyleTania Luti, Paolo De Fioravante, Ines Marinosci, Andrea Strollo, Nicola Riitano, Valentina Falanga, Lorella Mariani, Luca Congedo, Michele Munafò. Land Consumption Monitoring with SAR Data and Multispectral Indices. Remote Sensing. 2021; 13 (8):1586.
Chicago/Turabian StyleTania Luti; Paolo De Fioravante; Ines Marinosci; Andrea Strollo; Nicola Riitano; Valentina Falanga; Lorella Mariani; Luca Congedo; Michele Munafò. 2021. "Land Consumption Monitoring with SAR Data and Multispectral Indices." Remote Sensing 13, no. 8: 1586.
This study was focused on the metropolitan area of Florence in Tuscany (Italy) with the aim of mapping and evaluating thermal summer diurnal hot- and cool-spots in relation to the features of greening, urban surfaces, and city morphology. The work was driven by Landsat 8 land surface temperature (LST) data related to 2015–2019 summer daytime periods. Hot-spot analysis was performed adopting Getis-Ord Gi* spatial statistics applied on mean summer LST datasets to obtain location and boundaries of hot- and cool-spot areas. Each hot- and cool-spot was classified by using three significance threshold levels: 90% (LEVEL-1), 95% (LEVEL-2), and 99% (LEVEL-3). A set of open data urban elements directly or indirectly related to LST at local scale were calculated for each hot- and cool-spot area: (1) Normalized Difference Vegetation Index (NDVI), (2) tree cover (TC), (3) water bodies (WB), (4) impervious areas (IA), (5) mean spatial albedo (ALB), (6) surface areas (SA), (7) Shape index (SI), (8) Sky View Factor (SVF), (9) theoretical solar radiation (RJ), and (10) mean population density (PD). A General Dominance Analysis (GDA) framework was adopted to investigate the relative importance of urban factors affecting thermal hot- and cool-spot areas. The results showed that 11.5% of the studied area is affected by cool-spots and 6.5% by hot-spots. The average LST variation between hot- and cold-spot areas was about 10 °C and it was 15 °C among the extreme hot- and cool-spot levels (LEVEL-3). Hot-spot detection was magnified by the role of vegetation (NDVI and TC) combined with the significant contribution of other urban elements. In particular, TC, NDVI and ALB were identified as the most significant predictors (p-values < 0.001) of the most extreme cool-spot level (LEVEL-3). NDVI, PD, ALB, and SVF were selected as the most significant predictors (p-values < 0.05 for PD and SVF; p-values < 0.001 for NDVI and ALB) of the hot-spot LEVEL-3. In this study, a reproducible methodology was developed applicable to any urban context by using available open data sources.
Giulia Guerri; Alfonso Crisci; Alessandro Messeri; Luca Congedo; Michele Munafò; Marco Morabito. Thermal Summer Diurnal Hot-Spot Analysis: The Role of Local Urban Features Layers. Remote Sensing 2021, 13, 538 .
AMA StyleGiulia Guerri, Alfonso Crisci, Alessandro Messeri, Luca Congedo, Michele Munafò, Marco Morabito. Thermal Summer Diurnal Hot-Spot Analysis: The Role of Local Urban Features Layers. Remote Sensing. 2021; 13 (3):538.
Chicago/Turabian StyleGiulia Guerri; Alfonso Crisci; Alessandro Messeri; Luca Congedo; Michele Munafò; Marco Morabito. 2021. "Thermal Summer Diurnal Hot-Spot Analysis: The Role of Local Urban Features Layers." Remote Sensing 13, no. 3: 538.
Urban forests have manifold social, economic, cultural and ecological benefits and are major components of the urban green infrastructure. Among them, spontaneous urban woodlands develop unintentionally on abandoned lands in both growing and shrinking cities and deserve additional attention. We aimed to describe the planning and social processes linked to failures and successes in recognising spontaneous woodlands in Italy. We collected data on the woodland area characteristics, urban settings, and former land use as well as on the planning and property evolution (e.g. land use zone designations) and citizens involvement for 19 sites in 13 representative Italian cities. Our results highlighted that spontaneous woodlands are heterogeneous in size and age, and grow on a variety of previous land uses, with residential and industrial being the most dominant. More than half of the urban plans designated land uses that require new soil sealing and tree plantations instead of maintaining the existing woodlands. Only in four case studies, urban plans recognised the spontaneous woodland, at least partially, as an element of the city’s green infrastructure. We pinpoint an overall deficiency of the planning process in considering spontaneous urban woodlands, although with some exceptions that can represent models for future planning. The role of citizens seemed pivotal, even if not necessarily decisive, in the promotion and maintenance of these woodlands as a real social and ecological asset. A complex and modern array of approaches should capitalise on the potential benefits of spontaneous urban woodlands with the participation of citizens as a strong element of governance.
Giovanni Trentanovi; Thomas Campagnaro; Ingo Kowarik; Michele Munafò; Paolo Semenzato; Tommaso Sitzia. Integrating spontaneous urban woodlands into the green infrastructure: Unexploited opportunities for urban regeneration. Land Use Policy 2020, 102, 105221 .
AMA StyleGiovanni Trentanovi, Thomas Campagnaro, Ingo Kowarik, Michele Munafò, Paolo Semenzato, Tommaso Sitzia. Integrating spontaneous urban woodlands into the green infrastructure: Unexploited opportunities for urban regeneration. Land Use Policy. 2020; 102 ():105221.
Chicago/Turabian StyleGiovanni Trentanovi; Thomas Campagnaro; Ingo Kowarik; Michele Munafò; Paolo Semenzato; Tommaso Sitzia. 2020. "Integrating spontaneous urban woodlands into the green infrastructure: Unexploited opportunities for urban regeneration." Land Use Policy 102, no. : 105221.
Desertification is a complex phenomenon defined as the extreme degree of land degradation induced by human activities and climatic conditions. Climate change is accelerating and widening these areas. Previews analysis and studies assessed the vulnerability to desertification in Italy at national and regional level through a methodological approach based on integrating climate, soil, vegetation, and socio-economic data (ESA). The studies carried out by ISPRA aim to provide an update of the of land degradation assessment in Italy, based on Trends.Earth methodology and of the three UN-SDGs sub-indicators on Target 15.3.1 (land use/land cover, land productivity and soil organic carbon above and below ground status and trends), together with additional dimensions of land degradation considered crucial for national land characters. Final assessment of the percentage of degraded land is around 36% of national area. This exercise demonstrates the importance to consider a larger number of data and include information on other factors, such as climate, physical, chemical data. This integrated approach to the assessment of land degradation will allow to describe also of the loss of related ecosystem services. Highlights - Assessment and mapping of land degradation in Italy, toward an improvement of SDG Target 15.3 indicator. - Trends.Earth methodology integrated with additional data and information, in order to map ecosystem conditions and related ecosystem services provision. - Focus on land cover change as Italy main degradation factor. - Analysis with disaggregated results is provided for a deeper understanding of the specific contribution of the sub-indicators at the local level. - Improving sustainable land management by integrating land degradation prevention.
Francesca Assennato; Marco Di Leginio; Marco D'antona; Ines Marinosci; Luca Congedo; Nicola Riitano; Anna Luise; Michele Munafò. Land degradation assessment for sustainable soil management. Italian Journal of Agronomy 2020, 15, 299 -305.
AMA StyleFrancesca Assennato, Marco Di Leginio, Marco D'antona, Ines Marinosci, Luca Congedo, Nicola Riitano, Anna Luise, Michele Munafò. Land degradation assessment for sustainable soil management. Italian Journal of Agronomy. 2020; 15 (4):299-305.
Chicago/Turabian StyleFrancesca Assennato; Marco Di Leginio; Marco D'antona; Ines Marinosci; Luca Congedo; Nicola Riitano; Anna Luise; Michele Munafò. 2020. "Land degradation assessment for sustainable soil management." Italian Journal of Agronomy 15, no. 4: 299-305.
The UN Sustainable Development Goals (SDGs) identify the need to restore degraded soils in order to improve productivity and the provision of ecosystem services. The aim is to support food production, store and supply clean water, conserve biodiversity, sequester carbon, and improve soil resilience in a context of climate change. Within this framework, in order to achieve the SDGs and to correct land management in the long-term, soil management is considered mandatory. The reduction of land degradation should be based on various sustainable soil management practices that improve and maintain soil organic matter levels, increase water infiltration, and improve soil water management. This technical review - a policy paper - summarizes the sustainable and territorial impact of soil degradation, including soil water erosion, from the global level to the European and National levels. Furthermore, with the aim of sharing ongoing soil and water management actions, instruments, and initiatives, we provide information on soil and water conservation activities and prospects in Italy. Highlights - Sustainable soil management practices should be implemented to address soil degradation. - Impact of erosion on crop production reduces global crop yields by 0.4% per year. - Improving the physical and chemical characteristics of soils can contribute to store and supply water to plants. - Soil protection is a very important topic in the European Commission’s proposal for the CAP 2021-2027.
Filiberto Altobelli; Ronald Vargas; Giuseppe Corti; Carmelo Dazzi; Luca Montanarella; Alessandro Monteleone; Lucrezia Caon; Maria Grazia Piazza; Costanza Calzolari; Michele Munafò; Anna Benedetti. Improving soil and water conservation and ecosystem services by sustainable soil management practices: From a global to an Italian soil partnership. Italian Journal of Agronomy 2020, 15, 293 -298.
AMA StyleFiliberto Altobelli, Ronald Vargas, Giuseppe Corti, Carmelo Dazzi, Luca Montanarella, Alessandro Monteleone, Lucrezia Caon, Maria Grazia Piazza, Costanza Calzolari, Michele Munafò, Anna Benedetti. Improving soil and water conservation and ecosystem services by sustainable soil management practices: From a global to an Italian soil partnership. Italian Journal of Agronomy. 2020; 15 (4):293-298.
Chicago/Turabian StyleFiliberto Altobelli; Ronald Vargas; Giuseppe Corti; Carmelo Dazzi; Luca Montanarella; Alessandro Monteleone; Lucrezia Caon; Maria Grazia Piazza; Costanza Calzolari; Michele Munafò; Anna Benedetti. 2020. "Improving soil and water conservation and ecosystem services by sustainable soil management practices: From a global to an Italian soil partnership." Italian Journal of Agronomy 15, no. 4: 293-298.
This study aims to produce a forest raster cartography, valid for the Italian territory and characterized by a spatial resolution of 10 m, using remote sensing techniques. In detail, Sentinel-2 multispectral images have been used in order to obtain Normalized Difference Vegetation Index (NDVI) values, useful to distinguish vegetation among all the different other kinds of land cover.
Gian Luca Spadoni; Alice Cavalli; Luca Congedo; Michele Munafò. Analysis of Normalized Difference Vegetation Index (NDVI) multi-temporal series for the production of forest cartography. Remote Sensing Applications: Society and Environment 2020, 20, 100419 .
AMA StyleGian Luca Spadoni, Alice Cavalli, Luca Congedo, Michele Munafò. Analysis of Normalized Difference Vegetation Index (NDVI) multi-temporal series for the production of forest cartography. Remote Sensing Applications: Society and Environment. 2020; 20 ():100419.
Chicago/Turabian StyleGian Luca Spadoni; Alice Cavalli; Luca Congedo; Michele Munafò. 2020. "Analysis of Normalized Difference Vegetation Index (NDVI) multi-temporal series for the production of forest cartography." Remote Sensing Applications: Society and Environment 20, no. : 100419.
Land surface temperature (LST) predictors, such as impervious and vegetated surfaces, strongly influence the urban landscape mosaic, also changing microclimate conditions and exacerbating the surface urban heat island (SUHI) phenomenon. The aim of this study was to investigate the summer daytime SUHI phenomenon and the role played by impervious and tree cover surfaces in the 10 Italian peninsular metropolitan cities. Summer daytime LST values were assessed by using MODIS data referred to the months of June, July and August from 2016 to 2018. High spatial resolution (10 m) of impervious surface and tree cover layers was calculated based on open-data developed by the Italian National Institute for Environmental Protection and Research. A novel informative urban surface landscape layer was developed combining impervious surfaces and tree cover densities and its mapping for metropolitan cities was performed. Summer daytime SUHI rose significantly, increased especially in inland cities, by increasing the size of areas with low tree cover densities in the metropolitan core (or decreasing areas with low tree cover densities outside the metropolitan core), further increasing its intensity when the impervious density grew. A mitigating effect of the sea on daytime LST and SUHI was observed on coastal cities. The most intense SUHI phenomenon was observed in Turin (the largest Italian metropolitan city): for every 10% increase in areas with highly impervious surfaces and low tree cover densities in the metropolitan core, the SUHI significantly (p < 0.001) increased by 4.0 °C. Increased impervious surfaces combined with low tree cover densities represented the main driving process to increase the summer daytime SUHI intensity in most studied cities. These findings are useful to identify summer daytime LST critical areas and to implement the most efficient urban-heat-island mitigation strategies in order to safeguard the vulnerable urban environment and enhance quality of life for the population.
Marco Morabito; Alfonso Crisci; Giulia Guerri; Alessandro Messeri; Luca Congedo; Michele Munafò. Surface urban heat islands in Italian metropolitan cities: Tree cover and impervious surface influences. Science of The Total Environment 2020, 751, 142334 .
AMA StyleMarco Morabito, Alfonso Crisci, Giulia Guerri, Alessandro Messeri, Luca Congedo, Michele Munafò. Surface urban heat islands in Italian metropolitan cities: Tree cover and impervious surface influences. Science of The Total Environment. 2020; 751 ():142334.
Chicago/Turabian StyleMarco Morabito; Alfonso Crisci; Giulia Guerri; Alessandro Messeri; Luca Congedo; Michele Munafò. 2020. "Surface urban heat islands in Italian metropolitan cities: Tree cover and impervious surface influences." Science of The Total Environment 751, no. : 142334.
Soil sealing is the destruction or covering of natural soils by totally or partially impermeable artificial material. ISPRA (Italian Institute for Environmental Protection Research) uses different remote sensing techniques to monitor this process and updates yearly a national-scale soil sealing map of Italy. In this work, for the first time, we tried to combine soil sealing indicators as additional parameters within a landslide susceptibility assessment. Four new parameters were derived from the raw soil sealing map: Soil sealing aggregation (percentage of sealed soil within each mapping unit), soil sealing (categorical variable expressing if a mapping unit is mainly natural or sealed), urbanization (categorical variable subdividing each unit into natural, semi-urbanized, or urbanized), and roads (expressing the road network disturbance). These parameters were integrated with a set of well-established explanatory variables in a random forest landslide susceptibility model and different configurations were tested: Without the proposed soil-sealing-derived variables, with all of them contemporarily, and with each of them separately. Results were compared in terms of AUC ((area under receiver operating characteristics curve, expressing the overall effectiveness of each configuration) and out-of-bag-error (estimating the relative importance of each variable). We found that the parameter “soil sealing aggregation” significantly enhanced the model performances. The results highlight the potential relevance of using soil sealing maps on landslide hazard assessment procedures.
Tania Luti; Samuele Segoni; Filippo Catani; Michele Munafò; Nicola Casagli. Integration of Remotely Sensed Soil Sealing Data in Landslide Susceptibility Mapping. Remote Sensing 2020, 12, 1486 .
AMA StyleTania Luti, Samuele Segoni, Filippo Catani, Michele Munafò, Nicola Casagli. Integration of Remotely Sensed Soil Sealing Data in Landslide Susceptibility Mapping. Remote Sensing. 2020; 12 (9):1486.
Chicago/Turabian StyleTania Luti; Samuele Segoni; Filippo Catani; Michele Munafò; Nicola Casagli. 2020. "Integration of Remotely Sensed Soil Sealing Data in Landslide Susceptibility Mapping." Remote Sensing 12, no. 9: 1486.
This paper illustrates a land consumption map for Italy (year 2017) at a scale 1:1,300,000, and the assessment of its changes (2012–2017). We define land consumption as the replacement of a non-artificial land cover to an artificial land cover, both permanent and no-permanent. The maps are a 10 m spatial resolution raster, produced by photointerpretation of very high resolution images and semiautomatic classification of high resolution remote sensing images. An overall accuracy of 97.7% for the map of 2012 and of 99.66% for the map of 2017 was obtained. The results suggest that the method proposed is appropriate to detect land consumption, both for the urban densification and for the sprawling phenomena, from national to local level. Furthermore, because of the high spatial resolution and the classification scheme adopted, it is suitable for an effective monitoring system, compared to other existing classification systems or monitoring programs.
Andrea Strollo; Daniela Smiraglia; Roberta Bruno; Francesca Assennato; Luca Congedo; Paolo De Fioravante; Chiara Giuliani; Ines Marinosci; Nicola Riitano; Michele Munafò. Land consumption in Italy. Journal of Maps 2020, 16, 113 -123.
AMA StyleAndrea Strollo, Daniela Smiraglia, Roberta Bruno, Francesca Assennato, Luca Congedo, Paolo De Fioravante, Chiara Giuliani, Ines Marinosci, Nicola Riitano, Michele Munafò. Land consumption in Italy. Journal of Maps. 2020; 16 (1):113-123.
Chicago/Turabian StyleAndrea Strollo; Daniela Smiraglia; Roberta Bruno; Francesca Assennato; Luca Congedo; Paolo De Fioravante; Chiara Giuliani; Ines Marinosci; Nicola Riitano; Michele Munafò. 2020. "Land consumption in Italy." Journal of Maps 16, no. 1: 113-123.
An in-depth assessment of the spatial distribution of environmental resources and the condition of ecosystems is a key challenge in the management of ecosystems to support the provision of multiple ecosystem services. The main objective of this work was to investigate the spatial covariance of different aspects of avian diversity across gradients of provisioning and regulating ecosystem services in Italy at a high spatial resolution. Entire country of Italy. Regulating and provisioning ecosystem services proxies were mapped and standardised at a fixed spatial scale across Italy. We assessed taxonomic diversity, community evolutionary distinctiveness, functional evenness, functional dispersion, and phylogenetic species variability as proxies for biodiversity. Finally, mixed models were used to compare the spatial covariance between each ecosystem service and component of biodiversity. We found different associations between ecosystem services and each biodiversity component. Bird species richness was higher at moderate levels of agricultural production. When the levels of agricultural production were lower, phylogenetic relatedness index and functional dispersion decreased while evolutionary uniqueness and functional evenness were increased. Moderate levels of potential pollination services were spatially correlated with high values of bird species richness. In addition, taxonomic diversity of birds increased at moderate levels of timber production of deciduous forests, while community evolutionary distinctiveness decreased at lower timber production. Conversely, phylogenetic relatedness, functional dispersion, and functional evenness increased at lower levels of timber production. Similar patterns were found for carbon sequestration and bird diversity spatial associations. Finally, functional evenness wasn’t spatially related to any level of potential pollination and carbon sequestration provision. This work demonstrates that large-scale associations between ecosystem services and biodiversity vary spatially in Italy. Our findings were achieved at a large spatial scale and high-spatial resolution, providing information about the complex interactions among avian communities and the provision of ecosystem services.
Yanina Benedetti; Federico Morelli; Michele Munafò; Francesca Assennato; Andrea Strollo; Riccardo Santolini. Spatial associations among avian diversity, regulating and provisioning ecosystem services in Italy. Ecological Indicators 2019, 108, 105742 .
AMA StyleYanina Benedetti, Federico Morelli, Michele Munafò, Francesca Assennato, Andrea Strollo, Riccardo Santolini. Spatial associations among avian diversity, regulating and provisioning ecosystem services in Italy. Ecological Indicators. 2019; 108 ():105742.
Chicago/Turabian StyleYanina Benedetti; Federico Morelli; Michele Munafò; Francesca Assennato; Andrea Strollo; Riccardo Santolini. 2019. "Spatial associations among avian diversity, regulating and provisioning ecosystem services in Italy." Ecological Indicators 108, no. : 105742.
The paper deals with the general presentation of the Urban GEO BIG DATA, a collaborative acentric and distributed Free and Open Source (FOS) platform consisting of several components: local data nodes for data and related service Web deploy; a visualization node for data fruition; a catalog node for data discovery; a CityGML modeler; data-rich viewers based on virtual globes; an INSPIRE metadata management system enriched with quality indicators for each dataset.Three use cases in five Italian cities (Turin, Milan, Padua, Rome, and Naples) are examined: 1) urban mobility; 2) land cover and soil consumption at different resolutions; 3) displacement time series. Besides the case studies, the architecture of the system and its components will be presented.
M. A. Brovelli; P. Boccardo; G. Bordogna; A. Pepe; M. Crespi; M. Munafò; F. Pirotti. URBAN GEO BIG DATA. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2019, XLII-4/W14, 23 -30.
AMA StyleM. A. Brovelli, P. Boccardo, G. Bordogna, A. Pepe, M. Crespi, M. Munafò, F. Pirotti. URBAN GEO BIG DATA. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2019; XLII-4/W14 ():23-30.
Chicago/Turabian StyleM. A. Brovelli; P. Boccardo; G. Bordogna; A. Pepe; M. Crespi; M. Munafò; F. Pirotti. 2019. "URBAN GEO BIG DATA." The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W14, no. : 23-30.
In this paper, the use of synthetic aperture radar (SAR) for the monitoring of land consumption is analyzed. The paper presents an automatic procedure that integrates SAR and optical data, which can be effectively used to generate land consumption maps or update existing maps. The main input of the procedure is a series of SAR amplitude images acquired over a given geographical area and observation period. The main assumption of the procedure is that land consumption is associated with an increase of the SAR amplitude values. Such an increase is detected in the SAR amplitude time series using an automatic Bayesian algorithm. The results based on the SAR amplitude are then filtered using an NDVI map derived from optical imagery. The effectiveness of the proposed procedure is illustrated using SAR data from the Sentinel-1 and TerraSAR-X sensors, and optical data from the Sentinel-2 sensor.
Sara Mastrorosa; Michele Crosetto; Luca Congedo; Michele Munafò. Land consumption monitoring: an innovative method integrating SAR and optical data. Environmental Monitoring and Assessment 2018, 190, 588 .
AMA StyleSara Mastrorosa, Michele Crosetto, Luca Congedo, Michele Munafò. Land consumption monitoring: an innovative method integrating SAR and optical data. Environmental Monitoring and Assessment. 2018; 190 (10):588.
Chicago/Turabian StyleSara Mastrorosa; Michele Crosetto; Luca Congedo; Michele Munafò. 2018. "Land consumption monitoring: an innovative method integrating SAR and optical data." Environmental Monitoring and Assessment 190, no. 10: 588.
Rapid and unplanned urban growth is responsible for the continuous conversion of green or generally natural spaces into artificial surfaces. The high degree of imperviousness modifies the urban microclimate and no studies have quantified its influence on the surface temperature (ST) nearby residential building. This topic represents the aim of this study carried out during summer in different urban zones (densely urbanized or park/rural areas) of Parma (Northern Italy). Daytime and nighttime ASTER images, the local urban cartography and the Italian imperviousness databases were used. A reproducible/replicable framework was implemented named “Building Thermal Functional Area” (BTFA) useful to lead building-proxy thermal analyses by using remote sensing data. For each residential building (n = 8898), the BTFA was assessed and the correspondent ASTER-LST value (ST_BTFA) and the imperviousness density were calculated. Both daytime and nighttime ST_BTFA significantly (p < 0.001) increased when high levels of imperviousness density surrounded the residential buildings. These relationships were mostly consistent during daytime and in densely urbanized areas. ST_BTFA differences between urban and park/rural areas were higher during nighttime (above 1 °C) than daytime (about 0.5 °C). These results could help to identify “urban thermal Hot-Spots” that would benefit most from mitigation actions.
Marco Morabito; Alfonso Crisci; Teodoro Georgiadis; Simone Orlandini; Michele Munafò; Luca Congedo; Patrizia Rota; Michele Zazzi. Urban Imperviousness Effects on Summer Surface Temperatures Nearby Residential Buildings in Different Urban Zones of Parma. Remote Sensing 2017, 10, 26 .
AMA StyleMarco Morabito, Alfonso Crisci, Teodoro Georgiadis, Simone Orlandini, Michele Munafò, Luca Congedo, Patrizia Rota, Michele Zazzi. Urban Imperviousness Effects on Summer Surface Temperatures Nearby Residential Buildings in Different Urban Zones of Parma. Remote Sensing. 2017; 10 (2):26.
Chicago/Turabian StyleMarco Morabito; Alfonso Crisci; Teodoro Georgiadis; Simone Orlandini; Michele Munafò; Luca Congedo; Patrizia Rota; Michele Zazzi. 2017. "Urban Imperviousness Effects on Summer Surface Temperatures Nearby Residential Buildings in Different Urban Zones of Parma." Remote Sensing 10, no. 2: 26.
The conservation of species and habitats is increasingly threatened by anthropogenic impacts, particularly land use change, from local to global scales. Although many efforts have been carried out so far to halt or at least reduce the biodiversity loss (e.g., the establishment of protected areas' networks), there are still both knowledge and policy gaps slowing the conservation of species and habitats in complex environments, such as the Mediterranean region. In particular, the human-driven impacts and threats on biodiversity need more careful analysis. Accordingly, this paper aims to assess the habitat quality and degradation in Italy in relation with the spatial pattern of the current protected areas' network, mainly to identify priority areas of intervention, thus supporting large-scale conservation strategies. A survey of experts was conducted to identify the main threats for biodiversity from different land uses at the national scale. The InVEST software was then applied to assess and map habitat quality and degradation with a high spatial resolution (20 m). The relationship between habitat quality and degradation as well as their hotspots, and alternative PA categories were also explored. Results indicate that: (i) habitat quality and degradation depend on the location and intensity of the anthropogenic impacts and are sensitive to different protection levels; (ii) the combination of the survey of experts and the spatially-explicit assessment of habitat quality and degradation is useful to highlight variations of the current conditions of biodiversity and habitats; and (iii) the identification of hotspots allows one to identify priority areas for conservation. Accordingly, the proposed approach may be used to strengthen the conservation efforts in similar contexts, and thus support the implementation of the biodiversity-related policies over the long term.
Lorenzo Sallustio; Andrea De Toni; Andrea Strollo; Mirko Di Febbraro; Elena Gissi; Laura Casella; Davide Geneletti; Michele Munafò; Matteo Vizzarri; Marco Marchetti. Assessing habitat quality in relation to the spatial distribution of protected areas in Italy. Journal of Environmental Management 2017, 201, 129 -137.
AMA StyleLorenzo Sallustio, Andrea De Toni, Andrea Strollo, Mirko Di Febbraro, Elena Gissi, Laura Casella, Davide Geneletti, Michele Munafò, Matteo Vizzarri, Marco Marchetti. Assessing habitat quality in relation to the spatial distribution of protected areas in Italy. Journal of Environmental Management. 2017; 201 ():129-137.
Chicago/Turabian StyleLorenzo Sallustio; Andrea De Toni; Andrea Strollo; Mirko Di Febbraro; Elena Gissi; Laura Casella; Davide Geneletti; Michele Munafò; Matteo Vizzarri; Marco Marchetti. 2017. "Assessing habitat quality in relation to the spatial distribution of protected areas in Italy." Journal of Environmental Management 201, no. : 129-137.
Face to the urban resiliency two major environmental threats are widely recognized: the increasing summer air temperatures and the soil consumption that affects a large number of city in Italy. The work have the goal to present preliminary the actual Heat Summer Risk defined by using Crichton's Risk Triangle (Crichton, 1999) on the second Italian level of administration (ADM2 - Province). For each administrative unit we have considered as hazard layer the most recent trend of summer air temperature assessed (1980-2014); the exposure layer is individuated by the amount of population living in each province and finally as vulnerable layer the mean degree of soil consumption expressed in percentage was considered. Thanks to these information Crichton's methodology are able to give a quantitative risk value index further classified in five risk class. Data sources was provided by several authoritative institutions : (i) ISPRA ( Italian National Institute for Environmental Protection and Research) that provide data about density of soil consumption for 2015 as reported in the Soil Consumption Report 2016; (ii) ECAD (European Climate Assessment \& Dataset) that gives detailed historical daily climatic layers (E-OBS 1950-2015 v 13.0); (iii) ISTAT ( Italian National Institute of Statistics) that provides the last updates on Italian population data (2016). The results was mapped and presented. All computations was carried out in R-STAT environment by using different library available for Spatial and Trend Analysis. Data and code are released in public repository.
Alfonso Crisci; Luca Congedo; Marco Morabito; Michele Munafò. Summer Heat Risk Index: how to integrate recent climatic changes and soil consumption component. 2017, 1 .
AMA StyleAlfonso Crisci, Luca Congedo, Marco Morabito, Michele Munafò. Summer Heat Risk Index: how to integrate recent climatic changes and soil consumption component. . 2017; ():1.
Chicago/Turabian StyleAlfonso Crisci; Luca Congedo; Marco Morabito; Michele Munafò. 2017. "Summer Heat Risk Index: how to integrate recent climatic changes and soil consumption component." , no. : 1.
Face to the urban resiliency two major environmental threats are widely recognized: the increasing summer air temperatures and the soil consumption that affects a large number of city in Italy. The work have the goal to present preliminary the actual Heat Summer Risk defined by using Crichton's Risk Triangle (Crichton, 1999) on the second Italian level of administration (ADM2 - Province). For each administrative unit we have considered as hazard layer the most recent trend of summer air temperature assessed (1980-2014); the exposure layer is individuated by the amount of population living in each province and finally as vulnerable layer the mean degree of soil consumption expressed in percentage was considered. Thanks to these information Crichton's methodology are able to give a quantitative risk value index further classified in five risk class. Data sources was provided by several authoritative institutions : (i) ISPRA ( Italian National Institute for Environmental Protection and Research) that provide data about density of soil consumption for 2015 as reported in the Soil Consumption Report 2016; (ii) ECAD (European Climate Assessment \& Dataset) that gives detailed historical daily climatic layers (E-OBS 1950-2015 v 13.0); (iii) ISTAT ( Italian National Institute of Statistics) that provides the last updates on Italian population data (2016). The results was mapped and presented. All computations was carried out in R-STAT environment by using different library available for Spatial and Trend Analysis. Data and code are released in public repository.
Alfonso Crisci; Luca Congedo; Marco Morabito; Michele Munafò. Summer Heat Risk Index: how to integrate recent climatic changes and soil consumption component. 2017, 1 .
AMA StyleAlfonso Crisci, Luca Congedo, Marco Morabito, Michele Munafò. Summer Heat Risk Index: how to integrate recent climatic changes and soil consumption component. . 2017; ():1.
Chicago/Turabian StyleAlfonso Crisci; Luca Congedo; Marco Morabito; Michele Munafò. 2017. "Summer Heat Risk Index: how to integrate recent climatic changes and soil consumption component." , no. : 1.
This study is the follow up of the URBAN-MAES pilot implemented in the framework of the EnRoute project. The study aims at mapping and assessing the process of particulate matter (PM10) and tropospheric ozone (O3) removal by various forest and shrub ecosystems. Different policy levels and environmental contexts were considered, namely the Metropolitan city of Rome and, at a wider level, the Latium region. The approach involves characterization of the main land cover and ecosystems using Sentinel-2 images, enabling a detailed assessment of Ecosystem Service (ES), and monetary valuation based on externality values. The results showed spatial variations in the pattern of PM10 and O3 removal inside the Municipality and in the more rural Latium hinterland, reflecting the spatial dynamics of the two pollutants. Evergreen species displayed higher PM10 removal efficiency, whereas deciduous species showed higher O3 absorption in both rural and urban areas. The overall pollution removal accounted for 5123 and 19,074 Mg of PM10 and O3, respectively, with a relative monetary benefit of 161 and 149 Million Euro for PM10 and O3, respectively. Our results provide spatially explicit evidence that may assist policymakers in land-oriented decisions towards improving Green Infrastructure and maximizing ES provision at different governance levels.
Lina Fusaro; Federica Marando; Alessandro Sebastiani; Giulia Capotorti; Carlo Blasi; Riccardo Copiz; Luca Congedo; Michele Munafò; Luisella Ciancarella; Fausto Manes. Mapping and Assessment of PM10 and O3 Removal by Woody Vegetation at Urban and Regional Level. Remote Sensing 2017, 9, 791 .
AMA StyleLina Fusaro, Federica Marando, Alessandro Sebastiani, Giulia Capotorti, Carlo Blasi, Riccardo Copiz, Luca Congedo, Michele Munafò, Luisella Ciancarella, Fausto Manes. Mapping and Assessment of PM10 and O3 Removal by Woody Vegetation at Urban and Regional Level. Remote Sensing. 2017; 9 (8):791.
Chicago/Turabian StyleLina Fusaro; Federica Marando; Alessandro Sebastiani; Giulia Capotorti; Carlo Blasi; Riccardo Copiz; Luca Congedo; Michele Munafò; Luisella Ciancarella; Fausto Manes. 2017. "Mapping and Assessment of PM10 and O3 Removal by Woody Vegetation at Urban and Regional Level." Remote Sensing 9, no. 8: 791.
Michele Munafò; Luca Congedo. Soil consumption monitoring in Italy. Urban Expansion, Land Cover and Soil Ecosystem Services 2017, 217 -230.
AMA StyleMichele Munafò, Luca Congedo. Soil consumption monitoring in Italy. Urban Expansion, Land Cover and Soil Ecosystem Services. 2017; ():217-230.
Chicago/Turabian StyleMichele Munafò; Luca Congedo. 2017. "Soil consumption monitoring in Italy." Urban Expansion, Land Cover and Soil Ecosystem Services , no. : 217-230.
Michele Munafò; Luca Congedo. Monitoring built-up areas in Dar es Salaam using free images. Urban Expansion, Land Cover and Soil Ecosystem Services 2017, 258 -261.
AMA StyleMichele Munafò, Luca Congedo. Monitoring built-up areas in Dar es Salaam using free images. Urban Expansion, Land Cover and Soil Ecosystem Services. 2017; ():258-261.
Chicago/Turabian StyleMichele Munafò; Luca Congedo. 2017. "Monitoring built-up areas in Dar es Salaam using free images." Urban Expansion, Land Cover and Soil Ecosystem Services , no. : 258-261.