scholarly journals GEOPAN AT@S: A BROKERING BASED GATEWAY TO GEOREFERENCED HISTORICAL MAPS FOR RISK ANALYSIS

2017 ◽  
Vol XLII-2/W5 ◽  
pp. 583-589 ◽  
Author(s):  
M. Previtali
Keyword(s):  
Risk Analysis ◽  
Information Overload ◽  
Data Sources ◽  
Great Effort ◽  
Historical Maps ◽  
Temporal Data ◽  
Multi Temporal ◽  
Flooding Risk ◽  
Historic Maps ◽  
Land Changes

Importance of ancient and historical maps is nowadays recognized in many applications (e.g., urban planning, landscape valorisation and preservation, land changes identification, etc.). In the last years a great effort has been done by different institutions, such as Geographical Institutes, Public Administrations, and collaborative communities, for digitizing and publishing online collections of historical maps. In spite of this variety and availability of data, information overload makes difficult their discovery and management: without knowing the specific repository where the data are stored, it is difficult to find the information required. In addition, problems of interconnection between different data sources and their restricted interoperability may arise. This paper describe a new brokering based gateway developed to assure interoperability between data, in particular georeferenced historical maps and geographic data, gathered from different data providers, with various features and referring to different historical periods. The developed approach is exemplified by a new application named GeoPAN Atl@s that is aimed at linking in Northern Italy area land changes with risk analysis (local seismicity amplification and flooding risk) by using multi-temporal data sources and historic maps.

scholarly journals Raising awareness of the cultural, architectural, and perceptive values of historic gardens and related landscapes: panoramic cones and multi-temporal data

2020 ◽  
Author(s):  
Alberta Cazzani ◽  
Carlotta Maria Zerbi ◽  
Raffaella Brumana ◽  
Anna Lobovikov-Katz
Keyword(s):  
Open Data ◽  
Historical Maps ◽  
Temporal Data ◽  
Educational Values ◽  
Policy Makers ◽  
Cadastral Maps ◽  
Raising Awareness ◽  
Multi Temporal ◽  
History Of ◽  
Historic Maps

AbstractHistoric gardens and their related landscapes are often experienced only for their social, aesthetic, and environmental resources, yet their cultural, architectural, and perceptive significance is often ignored. The paper demonstrates how historic and educational values of historic gardens and related landscapes can be revealed by combining historic maps, reading perspective cones, and also applying advanced digital and educational methods and techniques. Historical maps, especially military and cadastral maps, associated with historical iconography, can provide us with a lot of information to study historical gardens and also to define conservation and valorization plans that are related to the history of the site: geomatics tools to georeference and co-relate metric and non-metric historical maps provide growing useful outputs, that can be deployed through the use of Virtual Hubs, boosting the availability of content and the accessibility of open data for policy makers, experts, and non-expert members. Moreover, they can also support heritage education programs providing the opportunity to allow to understand the wealth of sites now simplified, in their system, with different functions and with a transformed context. The study of historic gardens involves the analysis of the landscape in its dynamism and complexity, defines tools that make users more aware of the richness of our heritage.

scholarly journals A VIRTUAL HUB BROKERING APPROACH FOR INTEGRATION OF HISTORICAL AND MODERN MAPS

2016 ◽  
Vol XLI-B4 ◽  
pp. 163-170
Author(s):  
N. Bruno ◽  
M. Previtali ◽  
L. Barazzetti ◽  
R. Brumana ◽  
R. Roncella
Keyword(s):  
Information Overload ◽  
Geospatial Data ◽  
Data Sources ◽  
Historical Maps ◽  
Specific Component ◽  
Historical Gis ◽  
European Project ◽  
Geographic Data ◽  
The City ◽  
Historical Periods

Geospatial data are today more and more widespread. Many different institutions, such as Geographical Institutes, Public Administrations, collaborative communities (e.g., OSM) and web companies, make available nowadays a large number of maps. Besides this cartography, projects of digitizing, georeferencing and web publication of historical maps have increasingly spread in the recent years. In spite of these variety and availability of data, information overload makes difficult their discovery and management: without knowing the specific repository where the data are stored, it is difficult to find the information required and problems of interconnection between different data sources and their restricted interoperability limit a wide utilization of available geo-data. <br><br> This paper aims to describe some actions performed to assure interoperability between data, in particular spatial and geographic data, gathered from different data providers, with different features and referring to different historical periods. The article summarizes and exemplifies how, starting from projects of historical map digitizing and Historical GIS implementation, respectively for the Lombardy and for the city of Parma, the interoperability is possible in the framework of the ENERGIC OD project. The European project ENERGIC OD, thanks to a specific component &ndash; the virtual hub &ndash; based on a brokering framework, copes with the previous listed problems and allows the interoperability between different data sources.

scholarly journals “HERITAGE & DEVELOPMENT” STRATEGY ON HISTORIC URBAN LANDSCAPE (HUL): THE ADDED VALUE OF MULTI-TEMPORAL HUB APPLICATION

2019 ◽  
Vol XLII-2/W11 ◽  
pp. 1151-1158 ◽  
Author(s):  
M. Yang ◽  
R. Brumana ◽  
M. Previtali
Keyword(s):  
Development Strategy ◽  
Urban Landscape ◽  
Open Data ◽  
Added Value ◽  
Historical Maps ◽  
Design Data ◽  
Raising Awareness ◽  
Multi Temporal ◽  
Historic Maps ◽  
The City

<p><strong>Abstract.</strong> Growing interest in boosting urban identity and character is increasing the demand for historic maps and documents of cities in constant evolution as in the case of metropolitan areas, peripheries and riverbank sites. A ‘Heritage &amp; Development strategy based on the Historic Urban Landscape approach is required by city makers to ensure that exploitation needs can valorise the site’s natural and cultural heritage for sustainable social and economic optimisation.</p><p>This paper intends to propose innovative virtual hub technologies of brokering, discovering and accessing open data, making available - to a large public of users - the multi-temporal dense stratified evidences of the targeted built environment areas and its surroundings, through the navigation of geo-referenced historical maps, together with current maps, going through design data. Enhancing the practice of publishing maps as open data represents a powerful leverage for time and cost effectiveness among planners, scientists and historians; soliciting their use to gain a vast knowledge of that areas, including a better comprehension of the transformations over the centuries, in order to support decision-making analysis, environmental monitoring and urban area planning; thus contribute to improving the sustainability of interventions respectful of the identity of the urban landscape. A case study of the ‘Deux Rives’ planning area in the city of Strasbourg is presented to illustrate these issues. The City of Strasbourg’s commendable work in publishing the historical maps supports the municipal authority’s Heritage &amp; Development strategy in meeting contemporary and future needs while mitigating long-term damage from pressures for new interventions. Innovative virtual hub based applications to gather open data coming from different sources (city territorial services, design data sources, mobility services) can result in immeasurable added value through communicating the wealth of the planned areas and raising awareness among citizens and visitors of the interventions.</p>

scholarly journals Spatial Pattern Analyses of Landscape using Multi-Temporal Data Sources

2012 ◽  
Vol 14 ◽  
pp. 98-110 ◽  
Author(s):  
Alina Elena Huzui ◽  
Iulia Călin ◽  
Ileana Pătru-Stupariu
Keyword(s):  
Spatial Pattern ◽  
Data Sources ◽  
Temporal Data ◽  
Multi Temporal

scholarly journals A VIRTUAL HUB BROKERING APPROACH FOR INTEGRATION OF HISTORICAL AND MODERN MAPS

2016 ◽  
Vol XLI-B4 ◽  
pp. 163-170 ◽  
Author(s):  
N. Bruno ◽  
M. Previtali ◽  
L. Barazzetti ◽  
R. Brumana ◽  
R. Roncella
Keyword(s):  
Information Overload ◽  
Geospatial Data ◽  
Data Sources ◽  
Historical Maps ◽  
Specific Component ◽  
Historical Gis ◽  
European Project ◽  
Geographic Data ◽  
The City ◽  
Historical Periods

Geospatial data are today more and more widespread. Many different institutions, such as Geographical Institutes, Public Administrations, collaborative communities (e.g., OSM) and web companies, make available nowadays a large number of maps. Besides this cartography, projects of digitizing, georeferencing and web publication of historical maps have increasingly spread in the recent years. In spite of these variety and availability of data, information overload makes difficult their discovery and management: without knowing the specific repository where the data are stored, it is difficult to find the information required and problems of interconnection between different data sources and their restricted interoperability limit a wide utilization of available geo-data. &lt;br&gt;&lt;br&gt; This paper aims to describe some actions performed to assure interoperability between data, in particular spatial and geographic data, gathered from different data providers, with different features and referring to different historical periods. The article summarizes and exemplifies how, starting from projects of historical map digitizing and Historical GIS implementation, respectively for the Lombardy and for the city of Parma, the interoperability is possible in the framework of the ENERGIC OD project. The European project ENERGIC OD, thanks to a specific component &ndash; the virtual hub &ndash; based on a brokering framework, copes with the previous listed problems and allows the interoperability between different data sources.

scholarly journals Cropland Abandonment in Slovakia: Analysis and Comparison of Different Data Sources

Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 334
Author(s):  
Juraj Lieskovský ◽  
Dana Lieskovská
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Spatial Data ◽  
Data Sources ◽  
Communist Regime ◽  
Corine Land Cover ◽  
Cropland Area ◽  
Cropland Abandonment ◽  
Multi Temporal

This study compares different nationwide multi-temporal spatial data sources and analyzes the cropland area, cropland abandonment rates and transformation of cropland to other land cover/land use categories in Slovakia. Four multi-temporal land cover/land use data sources were used: The Historic Land Dynamics Assessment (HILDA), the Carpathian Historical Land Use Dataset (CHLUD), CORINE Land Cover (CLC) data and Landsat images classification. We hypothesized that because of the different spatial, temporal and thematic resolution of the datasets, there would be differences in the resulting cropland abandonment rates. We validated the datasets, compared the differences, interpreted the results and combined the information from the different datasets to form an overall picture of long-term cropland abandonment in Slovakia. The cropland area increased until the Second World War, but then decreased after transition to the communist regime and sharply declined following the 1989 transition to an open market economy. A total of 49% of cropland area has been transformed to grassland, 34% to forest and 15% to urban areas. The Historical Carpathian dataset is the more reliable long-term dataset, and it records 19.65 km2/year average cropland abandonment for 1836–1937, 154.44 km2/year for 1938–1955 and 140.21 km2/year for 1956–2012. In comparison, the Landsat, as a recent data source, records 142.02 km2/year abandonment for 1985–2000 and 89.42 km2/year for 2000–2010. These rates, however, would be higher if the dataset contained urbanisation data and more precise information on afforestation. The CORINE Land Cover reflects changes larger than 5 ha, and therefore the reported cropland abandonment rates are lower.

Land use change around hydroelectric dams using Landsat multi-temporal data: A challenge for a sustainable environment in Mexico

2021 ◽  
pp. 1-14
Author(s):  
Zuleyma Zarco-González ◽  
Octavio Monroy-Vilchis ◽  
Xanat Antonio-Némiga ◽  
Angel Rolando Endara-Agramont
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Temporal Data ◽  
Hydroelectric Dams ◽  
Sustainable Environment ◽  
Multi Temporal

scholarly journals Photovoltaic Power Forecasting: Assessment of the Impact of Multiple Sources of Spatio-Temporal Data on Forecast Accuracy

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1432
Author(s):  
Xwégnon Ghislain Agoua ◽  
Robin Girard ◽  
Georges Kariniotakis
Keyword(s):  
Satellite Images ◽  
Forecast Accuracy ◽  
Absolute Error ◽  
Data Sources ◽  
Test Case ◽  
Temporal Data ◽  
Multiple Sources ◽  
Forecasting Error ◽  
Spatio Temporal ◽  
The Impact

The efficient integration of photovoltaic (PV) production in energy systems is conditioned by the capacity to anticipate its variability, that is, the capacity to provide accurate forecasts. From the classical forecasting methods in the state of the art dealing with a single power plant, the focus has moved in recent years to spatio-temporal approaches, where geographically dispersed data are used as input to improve forecasts of a site for the horizons up to 6 h ahead. These spatio-temporal approaches provide different performances according to the data sources available but the question of the impact of each source on the actual forecasting performance is still not evaluated. In this paper, we propose a flexible spatio-temporal model to generate PV production forecasts for horizons up to 6 h ahead and we use this model to evaluate the effect of different spatial and temporal data sources on the accuracy of the forecasts. The sources considered are measurements from neighboring PV plants, local meteorological stations, Numerical Weather Predictions, and satellite images. The evaluation of the performance is carried out using a real-world test case featuring a high number of 136 PV plants. The forecasting error has been evaluated for each data source using the Mean Absolute Error and Root Mean Square Error. The results show that neighboring PV plants help to achieve around 10% reduction in forecasting error for the first three hours, followed by satellite images which help to gain an additional 3% all over the horizons up to 6 h ahead. The NWP data show no improvement for horizons up to 6 h but is essential for greater horizons.

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