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 “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 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.

A LOOK INTO THE HISTORY OF THE PREPARATION OF LOCAL PROFESSIONALS IN THE INDUSTRY

2019 ◽  
Vol 26 (2) ◽  
pp. 4-8
Author(s):  
Toshkentboy Pardaev ◽  
◽  
Zhavli Tursunov
Keyword(s):  
Evidence Based ◽  
Local Policy ◽  
Soviet Government ◽  
Policy Makers ◽  
History Of

In the article : In the second half of the 20 century the process of preparation of local experts in South Uzbekistan industry changes in this field a clear evidence-based analysis of the problematic processes that resulted from the discriminatory policy toward the Soviet government-dominated local policy makers

scholarly journals Mapping CRISPR-Cas9 public and commercial innovation using The Lens institutional toolkit

2021 ◽  
Author(s):  
Osmat Azzam Jefferson ◽  
Simon Lang ◽  
Kenny Williams ◽  
Deniz Koellhofer ◽  
Aaron Ballagh ◽  
...  
Keyword(s):  
Public Investment ◽  
Open Data ◽  
Regulatory Elements ◽  
Policy Makers ◽  
Base Editing ◽  
The Public ◽  
Homology Directed Repair ◽  
A Genome ◽  
Institutional Capability ◽  
Cellular Dna

AbstractCRISPR-Cas9 is a revolutionary technology because it is precise, fast and easy to implement, cheap and components are readily accessible. This versatility means that the technology can deliver a timely end product and can be used by many stakeholders. In plant cells, the technology can be applied to knockout genes by using CRISPR–Cas nucleases that can alter coding gene regions or regulatory elements, alter precisely a genome by base editing to delete or regulate gene expression, edit precisely a genome by homology-directed repair mechanism (cellular DNA), or regulate transcriptional machinery by using dead Cas proteins to recruit regulators to the promoter region of a gene. All these applications can be for: 1) Research use (Non commercial), 2) Uses related product components for the technology itself (reagents, equipment, toolkits, vectors etc), and 3) Uses related to the development and sale of derived end products based on this technology. In this contribution, we present a prototype report that can engage the community in open, inclusive and collaborative innovation mapping. Using the open data at the Lens.org platform and other relevant sources, we tracked, analyzed, organized, and assembled contextual and bridged patent and scholarly knowledge about CRISPR-Cas9 and with the assistance of a new Lens institutional capability, The Lens Report Builder, currently in beta release, mapped the public and commercial innovation pathways of the technology. When scaled, this capability will also enable coordinated editing and curation by credentialed experts to inform policy makers, businesses and private or public investment.

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 Mapping Smallholder Maize Farms Using Multi-Temporal Sentinel-1 Data in Support of the Sustainable Development Goals

2021 ◽  
Vol 13 (9) ◽  
pp. 1666
Author(s):  
Zinhle Mashaba-Munghemezulu ◽  
George Johannes Chirima ◽  
Cilence Munghemezulu
Keyword(s):  
Sustainable Development ◽  
Food Insecurity ◽  
Sustainable Development Goals ◽  
Smallholder Farmers ◽  
Support Vector ◽  
Temporal Data ◽  
The Sustainable Development ◽  
Multi Temporal ◽  
Production Area ◽  
Development Goals

Reducing food insecurity in developing countries is one of the crucial targets of the Sustainable Development Goals (SDGs). Smallholder farmers play a crucial role in combating food insecurity. However, local planning agencies and governments do not have adequate spatial information on smallholder farmers, and this affects the monitoring of the SDGs. This study utilized Sentinel-1 multi-temporal data to develop a framework for mapping smallholder maize farms and to estimate maize production area as a parameter for supporting the SDGs. We used Principal Component Analysis (PCA) to pixel fuse the multi-temporal data to only three components for each polarization (vertical transmit and vertical receive (VV), vertical transmit and horizontal receive (VH), and VV/VH), which explained more than 70% of the information. The Support Vector Machine (SVM) and Extreme Gradient Boosting (Xgboost) algorithms were used at model-level feature fusion to classify the data. The results show that the adopted strategy of two-stage image fusion was sufficient to map the distribution and estimate production areas for smallholder farms. An overall accuracy of more than 90% for both SVM and Xgboost algorithms was achieved. There was a 3% difference in production area estimation observed between the two algorithms. This framework can be used to generate spatial agricultural information in areas where agricultural survey data are limited and for areas that are affected by cloud coverage. We recommend the use of Sentinel-1 multi-temporal data in conjunction with machine learning algorithms to map smallholder maize farms to support the SDGs.

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