Estimating the Potential for Rooftop Generation of Solar Energy in an Urban Context Using High-Resolution Open Access Geospatial Data: A Case Study of the City of Tromsø, Norway

ISPRS International Journal of Geo-Information, Journal Year: 2025, Volume and Issue: 14(3), P. 123 - 123

Published: March 7, 2025

An increasing trend towards the installation of photovoltaic (PV) solar energy generation capacity is driven by several factors including desire for greater independence and, especially, to decarbonize industrial economies. While large ‘solar farms’ can be installed in relatively open areas, urban environments also offer scope significant generation, although heterogeneous nature surface fabric complicates task forming an area-wide view this potential. In study, we investigate potential offered publicly available airborne LiDAR data, augmented using data from OpenStreetMap (OSM), estimate rooftop PV capacities individual buildings and regionalized across entire small city. We focus on island Tromsøya city Tromsø, Norway, which located north (69.6° N) Arctic Circle, covers about 13.8 km2, has a population approximately 42,800. A total 16,377 were analyzed. Local was estimated between 120 180 kWh m−2 per year suitable roof with 200 GWh year, or 30% city’s current consumption. Regional averages within show variations highlighting importance orientation building density, suggesting that could play much more substantial role local supply than commonly assumed at such high latitudes. The analysis method developed here rapid, simple, easily adaptable other locations.

Language: Английский

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OpenStreetMap as the Data Source for Territorial Innovation Potential Assessment

ISPRS International Journal of Geo-Information, Journal Year: 2025, Volume and Issue: 14(3), P. 127 - 127

Published: March 12, 2025

This study explores a methodology for assessing territorial innovation potential using OpenStreetMap (OSM) data and geoinformation technologies. Traditional assessment methods often rely on aggregated statistical data, which provide generalized view but overlook the spatial heterogeneity within regions. To address this limitation, proposed utilizes open, up-to-date OSM to identify key infrastructure elements, such as universities, research institutions, centers, drive regional innovation. The includes extraction, harmonization, analysis tools like QGIS kernel density estimation. Results from PoliRuralPlus project pilot regions highlight significant differences in between urban centers rural areas, emphasizing importance of detailed policy making development planning. concludes that OSM-based assessments spatially targeted, flexible, replicable insights into compared traditional methods. However, limitations crowdsourced variability quality completeness, are acknowledged. Future developments aim integrate with official other resources support more efficient fair resource allocation strategic investments ecosystems.

Language: Английский

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CMAB: A Multi-Attribute Building Dataset of China

Scientific Data, Journal Year: 2025, Volume and Issue: 12(1)

Published: March 12, 2025

Rapidly acquiring three-dimensional (3D) building data, including geometric attributes like rooftop, height and orientations, as well indicative function, quality, age, is essential for accurate urban analysis, simulations, policy updates. Current datasets suffer from incomplete coverage of multi-attributes. This paper presents the first national-scale Multi-Attribute Building dataset (CMAB) with artificial intelligence, covering 3,667 spatial cities, 31 million buildings, 23.6 billion m² rooftops an F1-Score 89.93% in OCRNet-based extraction, totaling 363 m³ stock. We trained bootstrap aggregated XGBoost models city administrative classifications, incorporating morphology, location, function features. Using multi-source billions remote sensing images 60 street view (SVIs), we generated height, structure, style, quality each machine learning large multimodal models. Accuracy was validated through model benchmarks, existing similar products, manual SVI validation, mostly above 80%. Our results are crucial global SDGs planning.

Language: Английский

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The epidemiologic case for urban health: conceptualizing and measuring the magnitude of challenges and potential benefits

F1000Research, Journal Year: 2025, Volume and Issue: 13, P. 950 - 950

Published: March 17, 2025

We discuss how epidemiology has been and can continue to be used advance understanding of the links between urban areas health informed by an existing urban-health conceptual framework. This framework considers as contexts for health, determinants modifiers pathways, part a complex system that affects health. highlight opportunities descriptive inform context example, characterizing social physical environments give rise actions change those conditions. then describe inferential tools evaluating impact group-level (e.g., interventions, policies) on providing some examples, describing assumptions challenges. Finally, we challenges applying systems thinking methods While different frames lead insights, each perspective demonstrates is major growing challenge. The effectiveness knowledge, action, policy world continues urbanize expanding upon research surveillance described here.

Language: Английский

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Large-Scale nighttime illuminated road extraction in the BTH region of China using SDGSAT-1 nighttime light data

International Journal of Digital Earth, Journal Year: 2025, Volume and Issue: 18(1)

Published: March 25, 2025

Language: Английский

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