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Nereus atene-rven - presentation 3 - 2014

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  • The Regione del Veneto has begun a variety of initiatives for the creation and the updating of the cartographic tools. This activity has constituted during this last years a basis supply for the planning initiatives of the Local Authorities, providing to them appropriate tools of territorial know-how.
    In this scenario we have begun our project with the properly accuracy for the Land Use of Regione del Veneto.
  • On march 2005 Regione del Veneto decided to be part of the GUS (GMES Urban Services) project (so was called at the beginning the project),
    inside the GMES (Global Monitoring for Environment and Security) programme.
    Afterwards it has merged in the wider project GSE Land - promoted and funded by the ESA (European Space Agency), that provides the supply of services devoted to the Land Monitoring with the use of satellite data at high resolution.
    The project is divided in four steps:
    DB Artificial Territories -------------URBAN ATLAS
    NON Urban Areas
    3) Reverse Engineering process for the production of Historic Land use Maps to compare with the present map and to see the soil change during the various years
    4) The updating at High Resolution
  • The Regione del Veneto during the experimental step has acquired by the ESA Service Provider (the Planetek Italia company) a prototype of the product concerning some standard areas of the Regional territory that for size and geographical characteristics, has been identified by the Agency itself as one of the areas better representatives in Europe and consequently it has seen fit to the develop of the European project on the wide area.
  • GSE LAND
    GMES SERVICE ELEMENT LAND
    SAGE (water pollution)
    GSE LAND GMES URBAN SERVICES (GUS)
    Coastwatch (land part)
    The aim is to disseminate the geoinformation service on a wide area and for multispectral territorial applications
    This first experimental step, it was positively completed, moreover corroborated by the experience of the Treviso District that autonomously and with its own founding, had already joined at the GUS project (GMES Urban Services).
    The benefits came from the project based on use of satellite images, concerning the acquisition – of a soil use map realized on the entire Region with a data infrastructure of basis with an extreme accuracy for the monitoring of the Land Use (urban developments, Soil Use transformation), moreover for the applications and the studies that are based on geographical data of accuracy (Agriculture Land Consumption, definition of the ecological corridors, territorial evolution of the drainage basin of the Venice Lagoon). Actually the entire the Regional territory has been completed.
  • The realization of the Land Cover Map, GSE Land methodology coded, provides indeed, a classification of the territory Moland legend coded, in line with what suggested by CORINE Land Cover project, with a realization of a database on 1:10000 scale (MMU 0.25 ha) (MINIMAL MAP UNIT) in the Gauss-Boaga West reference system and a thematic accuracy upper than 85% (artificial) and 80% (non artificial), with a geometrical tolerance <= 5 m.
    The used data for the creation of the Land DB come from different nature: further the SPOT 5 satellite images, multispectral band (10 m.) and panchromatic (2.5 m.), has also been used other ancillary data as: TeleAtlas, Regional Base Digital Map, DEM, Forest Map, Transport Network, and Ortho images by Regione del Veneto.
    The classification has been executed with the support of the e-Cognition (Definiens Imaging) software, using an object oriented approach.
    The used methodology pursues a quality standard validated and certified at European level, providing a suitable accuracy to the description of the urban phenomena. About the artificial use classes (class 1 of CORINE coded). The degree of elaboration it push since the 4° level , giving a properly subdivision of the type of coverage for the urban areas, meanwhile the description of the extra urban areas is limited to the 2° level of CORINE coded.
  • For the best accuracy of the Urban Atlas were used a lot of Ancillary data
    The achievement of this deepening of the project is based, as well as the satellite image rendering, on the use of various ancillary data of high resolution, increasing the level of confidence and thematic accuracy of the Regional Land Cover Map.
  • With an Automatic extraction from SPOT Satellite Images were highlighted the built-up areas
  • The Benefits of using the GSE Land project are clear to everybody.
    The acquisition of a Land Use Map for Urban fields realized on whole Regional Territory with a Standard Quality and validated, certified at European Level.
    The use of a DB structure to permit the monitoring of the LAND USE (Urban expansions, Land Use changes and transformations)
  • Here we can see the Legend used and a detail of three districts/provinces.
  • Agriculture is the primary type of land use in Europe and has profound impacts on the quality of landscape and environment.
    In the second half of the 20th century, technology and socio-economic factors have driven rapid changes in land use. In the future, climate change and subsidy structures are expected to constitute additional drivers. Predicting what land use changes would result from all these drivers is a key challenge to enable policy-makers to engage adapted actions to prevent undesirable effects of these changes
  • The DB realized it is usefull as a tool to give a carthographic support that was moreover processed to create the indicators for local authority sphere, to permit to evaluate the percentage values in every coverage class in relation with the territorial area of each local authorithy.
    In particular the available indicators for each of the hierarchical units of the legend, in relation to the total area of each single municipal territory, are the hereafter:
    Artificial surfaces; agricultural surfaces; Forests and seminatural areas; Wetlands; surfaces occupy by water bodies.
    The analysis of the available data in the 2006, organized by Municipalities and collected by provincial areas, is introductory to the subsequently displayed processing.
    Subsequently as example we show a processing for a Local Authorities with an intermediate urban pole characteristics taking out by the whole archive of 581 Veneto Municipalities, the surface per each classes (with the unification of the two classes Wetlands and Surfaces occupied by water bodies) and the corresponding percentage distribution on the territorial surface.
  • The second analysis, evaluated as well starting by municipalities area, it was produced throught the read of the available data of the Land Use 2006 (GSE-Land) in relation with the data processed with the AIMA orthoimages acquired in the 1994. This allowed to evaluate the size of territory that in the 1994 it was not built up and was changed to urban use, so to highlight the situations of more changing and fragmentation of the extraurban landscape.
    This type of analysis it is relative to that areas that according to the CORINE code, are referring to the first class – “Artificial Surfaces” that include all the built areas (residential areas, productive settlment, services, technological plants), the infrastructures for the transports and road networks, the mineral processing areas and the (garbage) dumps. It was considered as already built-up also the areas that at the moment of the acquiring was on costruction.
    In the later images it is in evidence the consumption of the agricultural Land Cover in favour of the growth of some productive areas, on photogrammetric base as well on the database of the Land Cover that result from the analysis
  • With the same methodology, it has provided an extention of the analysis to the previous decade of 1994 using the raster images of the first edition of the Regional Base MAp with aerial images acquired around 1983.
    Also in this case through the calculation of numerical indicators it was possible to evaluate the extent of Land that in the 1983 was not built up and it was changed to urban use.
  • Before starting the entire updating programme of the land use map of the whole Regional territory, Veneto Region has recently launched a first adjustment and a limited implementation stage of the GSE Land product, retaining of extreme interests to have the opportunity to use the new products of the European programme GMES (later on operatively developed into the “Kopernikus” programme), merged into the wide project GEOLAND2. This project financed by the European Commission inside the FP7 (Seventh Framework Programme), works on the supply of soil use maps at high resolution, realized by the processing of satellite data that are using new radar and optical sensors.
    For the continuation of the project, called “GSE Land-Urban Atlas HR”, we use the integration of new generation satellite images characterized by a geometric resolution of the order of one meter. The use of GeoEye1 technology will generate a land use map with higher geometric and thematic detail, till the delineation of the single building. All the area mapped in this stage is a limited one.
  • Processing of input data
    The GeoEye1 satellite ortho-rectified data are produced by a process of Semi-automatic extraction of features, with the aim of creating the Urban Atlas high resolution database. This in synthesis the schema:
    The preliminary process to he classification consists in an object segmentation of the satellite image with the aim of separate (subdivide) groups of homogeneous pixels by the adjustment of scale, shape and color factors.
    Subsequently the resulted polygons (objects) are submitted to an automatic classification process that result from an analysis of the spectral values of the satellite data linked to every objects and completed with the information that could be extracted from the ancillary data.
    The different processes of data elaboration is possible to summarize in 5 main processes:
    The Screening change detection
    2) The extraction of soil sealing to create the built-up layer
    3) Defining of the road and rail Network (skeleton)
    4) Creation of the Land Cover
    5) Creation of the Building layer
  • Soon it will be available the new product “GSE Land-Urban Atlas at High resolution” with a thematic accuracy content that satisfy the urban requirements, developed using the satellite images with an high spatial resolution that will allow to evaluate the ability of revision and integration of the results that could be obtain with the technical specifications of the new products.
    Ever with the objective of using the satellite data with high accuracy, it was taken the opportunity to use the Remote Sensing images by the new WorldView-2 sensor as a replacement for the GeoEye-1.
  • On this table we compare QuickBird and WorldView1 versus WorldView-2
  • the SlewTime script (TAOACP_scriptsSlewTimeSlewTime.vbe) measures telescope slew times in right ascension and declination by moving the telescope by different angles in both coordinates.
    Swath width refers to the strip of the Earth’s surface from which data are collected by a satellite. The longitudinal extent of the swath is defined by the motion of the satellite with respect to the surface, whereas the swath width is measured perpendicularly to the longitudinal extent of the swath. Note that swath width is also cited in context of sonarspecifications. It is measured and represented in metres or kilometers.
  • Land Use/Land Cover (LULC) classification can be seen on a continuum, starting with a basic estimation of land cover through broad categories, like farmland, and urban areas, to feature extraction, like road networks, buildings, and trees.
    Current satellite-based remote sensing techniques are most effective at classifying LULC on a large scale. Lower resolution multispectral satellites like Landsat are very effective at mapping LULC at the first two levels, by identifying the spectral signature of a particular type of feature, and broadly classifying areas that contain that spectral pattern. With spatial resolutions of 15-30 m, Landsat can classify forests, grasslands and urban developments using the different spectral reflectance of each type of land cover. However, finer details cannot be reliably differentiated at these resolutions.
    Higher resolution multispectral satellites with traditional visible to near infrared (VNIR) bands are increasingly able to discern fine scale features. With spatial resolutions of 0.5-1 meter, these satellites have consistently demonstrated the ability to classify features at the third level, for example, discriminating between grasses vs. trees in an orchard, segmenting urban areas by housing types, and discriminating between paved and unpaved roads.
  • By the process of integration of data, high resolution Satellite Data and the ancillary data at disposal results a product of multilevel and multiscale land use, in ESRI shapefile and GeoDatabases (mdb). Specifically, the final product will present the following three layers which constitute the Geodatabase feature class that can be exported to an ESRI shapefile format:
    Land Cover Map: polygonal level of land use map with high geometric detail and thematically according to the specifications described in later sections.
    buildings: for information under the individual buildings of polygonal Base Map encoding of the Veneto Region
    Transport Network: polygonal level of road and rail network.
    The data layers will be created in compliance to a topological congruence and adjusted to geometric specifications outlined in the technical specifications.
  • An example of application on wide area of the Land Cover map data has been
    Realized by Veneto Region to study the flooding risk.
    The Directive 2007/60/EC with the Legislative Decree 49/2010, that constitutes
    the transposition act for Italy, allows to organise some management plans for the
    Flooding risk.
    The first step of the process allows the drafting of the danger and risk maps.
  • In particularly Veneto Region is busy to realize hazard and risk maps for different
    environments and scenarios by processing data with GIS software ,
    including determinations of Digital Terrain Models DTM.
    Veneto Region has the responsibility to prepare the plans in the following ranges:
    hill and mountain secondary network
    hydrographical network of the plain
    lake coastal zones and marine coastal zones
    The risk is referred both to possible rivers floods and the lake basins and marine.
  • According to the EC Flood Directive, flood risk results as “The combination of the probability of flood event and of potential adverse consequences”.
    To obtain the risk map by flooding at the 1:10.000 scale was prepared before Vulnerability maps that are based on the Land Use Map, produced by Veneto Region with satellite data, supplemented with ancillary Data by topographic databases and by territorial data from regional, national and community agencies.
    The mapping of potential flood zones have been built on the basis of historical elements as well as through the development of topographic data from other sources (LiDAR , Topographic DB , reliefs in the country) who helped create digital elevation models , in particular, for the system marine and river embankments and for the estimation of tie water floodable areas.
    The combination of the vulnerability maps with that of hazard has produced the risk map that classify in 4 different categories the intensity of the territory
  • Sample area to highlight the methodological steps for the production of the Flooding risk maps
    As we have seen in previous slide the approach consists of four pillars namely hazard, vulnerability, exposure, and risk, where the outcome of the first three affect the latter. In the case of a flood event, the hazard outcome is a map of intensity (expressed in term of depth, persistence, or velocity) of the flood provided by the hydrological analysis and modelling i.e. flood frequency analysis, geomorphologic characteristic of the region under assessment (pathway), and manufactured barriers against the hazard (attenuation) elements of the assessed area. Considering different return times and measures of intensity, multiple hazard maps can be produced, following receptors have to be considered. For example the Flood Directive identified four categories of receptors: people, economic activities, cultural heritage, and the environment component.
  • Land Use Map at the 1:10000 scale
    Main informative contribution for the “E” Exposure
  • Data derived by the topographic DB and others Data bases and by territorial data from regional, national and community agencies (example: Hospital, schools, industrial facilities, garbage dumps, cultural heritage, etc)
  • Digital Terrain Model realized by a lidar (1,5 point x sqm) survey.
    Useful to calculate “H” Hazard together various historical data of floods
  • Hazard map of river flood.
    The Hazard is linked to different scenarios given by the return times of the event.
    Considering different return times and measures of intensity, multiple hazard maps can be produced, following the specific requirements of the legislation
    Carta della pericolosità da inondazione fluviale.
    La pericolosità è legata a diversi scenari determinati dai tempi di ritorno dell’evento.
  • Risk Map obtained combining the elements subjected with the hazard.
    4 categories of Risk
    Carta del rischio ottenuta combinando gli elementi esposti con la pericolosità.
    Quattro classi di rischio potenziale.
  • With this matrix we cross-check data of Hazard classes with Damage classes to have as resoult the Risk classes:
    R1 moderate risk
    R2 medium risk (minor damage to buildings)
    R3 high risk (possible problems to people)
    R4 very high risk (possible loss of human lives)
  • In this slide we can see the % of territory distributed per class R1 R2 R3 R4 and the relative population at Risk for each class.
    With Pop_in_Ris the number of the total population at Risk, Pop_Com the population of the Municipality and Per_Pco the percentage of population at Risk
  • Particulary significant the classification of all the marine and river banks in the Delta Po area on the basis of the altitude calculated by the DTM
    It is about territorial elements changeable by subsidence and materials compaction; so it is necessary a periodical monitoring.
    Di particolare rilievo la classificazione di tutti gli argini marini e fluviali nell’area del Delta del Po sulla base delle quote sommitali determinate dal DTM.
  • Not entire relation in the classifications used within the Land Use Map among the various Italian Regions;
    Different origins and periods of updating of the data on the various elements (Land Use Map, Base Map, ARPAV data (Environment data) etc.);
    Heterogeneous elevation data per period of the survey, accuracy and origin (LiDAR, Base Map, measure);
    Necessity to plan periodic update of the data to execute the monitoring as provided by the Directive 2007/60/EC.
    non completa corrispondenza delle classificazioni usate nella carta di copertura del suolo tra le varie regioni italiane;
    diverse origini ed epoche di aggiornamento dei dati sugli elementi esposti (carta uso suolo, CTRN, dati ARPAV etc);
    dati altimetrici eterogenei per epoca del rilievo, accuratezza e origine (LiDAR, CTRN, misure);
    necessità di programmare aggiornamenti periodici dei dati per eseguire il monitoraggio come previsto dalla Direttiva 2007/60/CE.
  • Transcript

    • 1. VENETO REGION Dipartimento Territorio Sezione Pianificazione Territoriale Strategica e Cartografia Eng. Maurizio De Gennaro, Dr. Silvano De Zorzi, Arch. Massimo Foccardi, Dr. Umberto Trivelloni, Diego Truco From the Land Use Map to the evaluation and management of flood risk. A Veneto Region experience on GMES/Copernicus downstream service and the implementation on Directive 2007/60 EC
    • 2. The Veneto Region has begun many initiatives for the creation and the update of the cartographic tools, this activity has constituted, during these last years, a basic support for the planning initiatives of the Local Authorities, in particular, providing appropriate tools of territorial know-how. THE ISTITUTIONAL CONTEXT
    • 3. THE LAND USE COVERAGE DATA BASE PROJECT On the whole it is divided in four steps:  Production of the DB of the coverage for territories artificially modelled. Project GSE Land – Urban Atlas  Implementation of the DB of the coverage of the non urban areas: agricultural territories, forest territories, wetlands, etc.  Production of Historic Land use maps (reverse engineering process)  The Veneto Land Cover Map updating (GSE Land-Urban Atlas HR) From the Land Use Map to the evaluation and management of flood risk, Veneto Region experience
    • 4. 1st STEP: GSE LAND – URBAN ATLAS PROJECT  It is promoted and founded by ESA (European Space Agency) – that, in the field of the GMES initiatives, prefigures the supply of Services for Territory Monitoring with satellite data at High Resolution. From the Land Use Map to the evaluation and management of flood risk, Veneto Region experience
    • 5. GSE Land – Urban Atlas: Satellite Images Spot Venezia True Color 10 July 2006 Regione del Veneto SPOT Images on file - 2006 SPOT Images on file - 2005 SPOT Images last data capture - 2007
    • 6. 1st STEP: GSE LAND – URBAN ATLAS: METHODOLOGY  The GSE Land – Urban Atlas methodology, prefigures a classification of the territory using the Moland Legend, in line with the directives of the CORINE Land Cover project and with the realization of a database at 1:10000 scale (MMU 0.25 ha).  The data used for the creation of the Land DB are of different kinds: as well as satellite images SPOT 5, multispectral ranges (10 m.) and panchromatic (2.5 m.), others ancillary data have been used as: Teleatlas DB, Digital Regional Topographic Map, DEM, Forest Map, Transport Network and Orthoimage by “Regione del Veneto” .  The classification is executed with the support of software E-Cognition with an object-oriented approach. From the Land Use Map to the evaluation and management of flood risk, Veneto Region experience
    • 7. GSE Land – Urban Atlas: Ancillary data From the provider:  Tele Atlas 2006 From Regione del Veneto:  Forest Map 2000  Vector and Raster Regional Topographic Map  Orthoimages 2003 – 2006  DTM  Administrative borders  Census sections 2001  DBPrior 10k (routes, railways, hydrography) networks at the 1:10000 scale  DB Land use of the drainage basin in the Venice Lagoon (1:10000) From the Land Use Map to the evaluation and management of flood risk, Veneto Region experience
    • 8. GSE Land – Urban Atlas Class Harmonization Urban density automatic built-up extraction - SPOT From the Land Use Map to the evaluation and management of flood risk, Veneto Region experience
    • 9. GSE Land – Urban Atlas Class Harmonization Urban density evaluation built-up percentage- SPOT From the Land Use Map to the evaluation and management of flood risk, Veneto Region experience
    • 10. GSE Land – Urban Atlas: Benefits  The benefits of the GSE Land project, based on the satellite images, concern the acquisition of a Land Use Map, for the Urban fields, realized on the whole Region, with a quality standard validated and certified at European level.  This tool allows the use of a data base structure with an extreme accuracy for the monitoring of the Land Use (urban expansions, Land Use changes and transformations), mainly for the applications and the studies based on the accuracy geographical data (agricultural soil, ecological corridors, drainage basin of Venice Lagoon). From the Land Use Map to the evaluation and management of flood risk, Veneto Region experience
    • 11. Venezia Some detail of the Urban Atlas product…….. PadovaRovigo
    • 12. 2nd STEP: IMPLEMENTATION OF THE GSE LAND – URBAN ATLAS DB, WITH THE ACQUISITION OF THE LAND USE COVERAGE FOR THE EXTRAURBAN AREAS  For the applications and studies based on the detailed geographical data (Agricultural Land Consumption, Ecological Corridor, drainage basin of Venice Lagoon) we recurred to a further in depth examination, because the GSE Land project, for the extra urban areas, is limited at the 2 level of the CORINE classification. Regional Law December 12th 2003, n.40 “New rules for the interventions in agriculture” From the Land Use Map to the evaluation and management of flood risk, Veneto Region experience
    • 13. SUBCLASS OF DETAIL TILL THE 5° LEVEL – GEOGRAPHICAL ACCURACY DATA  Agricultural Land Consumption  Woods and Forests  Wetlands  Water bodies  Ecological corridor  Drainage basin of Venice Lagoon From the Land Use Map to the evaluation and management of flood risk, Veneto Region experience
    • 14. The production of Historical Land Use maps - Third Step  The reverse engineering process From the Land Use Map to the evaluation and management of flood risk, Veneto Region experience
    • 15. Territorial Surface ha “Artificial Areas” Surface ha “Agricolture Areas” Surface ha “Forests and semi natural areas ha” Surfaces “WetLands and Water bodies" ha Surface 4673.0 1397.3 1682.8 1526.5 66.3 Distribuzione percentuale della superficie territoriale 29.9% 36.0% 32.7% 1.4% Sup EDIFICATO Sup AREE AGRICOLE Sup FORESTE Sup ACQUE From the Land Use Map to the evaluation and management of flood risk, Veneto Region experience
    • 16. Ortoimage AIMA 1994 Ortoimage IT2000 NR 2006-2007 Land Use 2006Land Use 1994
    • 17. Base Map 1983 OrtoImage AIMA 1994 Land Use 1983 Land Use 1994
    • 18. The Veneto Land Cover Map Updating- Urban Atlas HR - Fourth Step  GSE Land Urban Atlas HR From the Land Use Map to the evaluation and management of flood risk, Veneto Region experience
    • 19. The Veneto Land Cover Map Updating- Urban Atlas HR - Fourth Step From the Land Use Map to the evaluation and management of flood risk, Veneto Region experience Land Cover Map with the use of GeoEye1 technology
    • 20. The Veneto Land Cover Map Updating- Urban Atlas HR – Fourth Step  Process flow-chart for the creation of the high resolution Urban Atlas From the Land Use Map to the evaluation and management of flood risk, Veneto Region experience Techinical Specification
    • 21. The Veneto Land Cover Map Updating- Urban Atlas HR - Fourth Step From the Land Use Map to the evaluation and management of flood risk, Veneto Region experience Image by WorldView- 2 technology
    • 22. The Veneto Land Cover Map Updating- Urban Atlas HR – Fourth Step From the Land Use Map to the evaluation and management of flood risk, Veneto Region experience  Each sensor of WorldView-2 is narrowly focused on a particular range of the electromagnetic spectrum that is sensitive to a particular feature on the ground or a property of the athmosphere.
    • 23. The Veneto Land Cover Map Updating- Urban Atlas HR - Fourth Step  The benefits of the 8 Spectral Bands  Resolution 50 cm  New spectral bands:  Coastal  Yellow  Red edge  NIR2  Slew time: 300 Km in 9”  Swath width: 16.4 Km at nadir  Collection Capacity: 975,000 km2 /day  Average Revisit: 1.1 days From the Land Use Map to the evaluation and management of flood risk, Veneto Region experience
    • 24. The Veneto Land Cover Map Updating- Urban Atlas HR - Fourth Step From the Land Use Map to the evaluation and management of flood risk, Veneto Region experience In few words
    • 25. The Veneto Land Cover Map Updating- Urban Atlas HR - Fourth Step From the Land Use Map to the evaluation and management of flood risk, Veneto Region experience
    • 26. Land Use Map and the 2007/60/EC
    • 27. The Realized Activities
    • 28. Hazard Vulnerability Risk R = H * V * E
    • 29. Sample Area Sample area to highlight the methodological steps for the production of the Flooding Risk Maps
    • 30. Land Use Map Land Use Map at the 1:10000 scale
    • 31. Topographic DB Data derived by the topographic DB (example: Hospital, schools, industrial facilities, etc).
    • 32. DTM Digital Terrain Model (DTM) realized by a LiDAR survey.
    • 33. HAZARD Hazard map of river flood. The Hazard is linked to different scenarios given by the recur time of the event.
    • 34. RISK Map Risk Map obtained combining the elements subjected with the hazard. In the map legend the 4 categories of Risk
    • 35. Risk Classes
    • 36. Local Authority PROVINCIAR1_Perc R2_Perc R3_Perc R4_Perc No_Risk Pop_R1 Pop_R2 Pop_R3 Pop_R4 Pop_In_Ris Pop_Com Per_Pco Ficarolo RO 88,05 10,75 1,09 0,10 0,00 0 2771 0 0 2771 2774 100 Ariano nel Polesine RO 0,00 10,47 0,80 0,76 87,97 0 4515 237 8 4760 4773 100 Frassinelle Polesine RO 92,22 7,78 0,00 0,00 0,00 0 1635 0 0 1635 1637 100 Castelmassa RO 79,24 20,37 0,33 0,05 0,00 0 4074 0 0 4074 4081 100 Taglio di Po RO 83,35 15,66 0,56 0,43 0,00 0 7473 140 16 7629 7635 100 Porto Tolle RO 0,00 14,12 0,93 1,10 83,86 0 8024 1163 75 9262 9265 100 Costa di Rovigo RO 0,00 14,00 0,00 0,00 86,00 0 2646 0 0 2646 2865 92 Villanova del Ghebbo RO 0,00 0,82 0,00 0,00 99,18 0 212 0 0 212 2165 10 Porto Viro RO 0,00 33,71 0,17 0,28 65,83 0 14065 0 62 14127 14132 100 Giacciano con Baruchella RO 0,00 1,69 0,00 0,00 98,31 0 50 0 0 50 2287 2 Melara RO 0,00 10,02 0,51 0,00 89,47 0 1758 0 0 1758 1758 100 Badia Polesine RO 0,00 0,03 0,00 0,00 99,97 0 0 0 0 0 10044 0 Castagnaro VR 0,00 8,19 0,00 0,00 91,81 0 1388 0 0 1388 4003 35 Adria RO 88,64 11,27 0,05 0,04 0,00 0 20151 0 0 20151 20180 100 Rovigo RO 0,00 9,41 0,00 0,00 90,59 0 15826 0 0 15826 49352 32 Pettorazza Grimani RO 0,00 8,42 0,00 0,00 91,58 0 1617 0 0 1617 1621 100 San Martino di Venezze RO 0,00 10,54 0,00 0,00 89,46 0 3864 0 0 3864 3875 100 Peschiera del Garda VR 0,00 1,12 0,14 0,48 98,25 0 47 0 36 83 8347 1 Castelnuovo del Garda VR 0,00 0,08 0,00 0,01 99,90 0 23 0 3 26 8499 0 Lazise VR 0,00 0,17 0,01 0,09 99,72 0 171 14 68 253 5890 4 Bardolino VR 0,00 0,24 0,02 0,10 99,64 0 199 12 87 298 6123 5 Garda VR 0,00 0,95 0,01 0,06 98,99 0 516 2 8 526 3592 15 Torri del Benaco VR 0,00 0,10 0,01 0,01 99,87 0 108 0 18 126 2562 5 Brenzone VR 0,00 0,09 0,00 0,02 99,89 0 163 0 30 193 2316 8 Malcesine VR 0,00 0,17 0,00 0,01 99,82 0 194 0 12 206 3299 6 Percentage of the Risk Areas
    • 37. Embankment altitude classification Particulary significant the classification of all the marine and river banks in the Delta Po area on the basis of the altitude calculated by the DTM
    • 38. Elements of criticality  Not entire relation in the classifications used within the Land Use Map among the various Italian Regions;  Different origins and periods of updating of the data on the various elements (Land Use Map, Base Map, ARPAV data (Environment data) etc.);  Heterogeneous elevation data per period of the survey, accuracy and origin (LiDAR, Base Map, measure);  Necessity to plan periodic update of the data to execute the monitoring as provided by the Directive 2007/60/EC.
    • 39. Thank You Email: silvano.dezorzi@regione.veneto.it From the Land Use Map to the evaluation and management of flood risk, Veneto Region experience