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Iterative integration of deep learning in hybrid Earth surface system modelling
Earth system modelling (ESM) is essential for understanding past, present and future Earth
processes. Deep learning (DL), with the data-driven strength of neural networks, has …
processes. Deep learning (DL), with the data-driven strength of neural networks, has …
Remote sensing of photovoltaic scenarios: Techniques, applications and future directions
Develo** solar photovoltaic (PV) systems is an effective way to address the problems of
limited fossil fuel reserves, soaring world energy demand and global climate change. The …
limited fossil fuel reserves, soaring world energy demand and global climate change. The …
[HTML][HTML] Understanding rooftop PV panel semantic segmentation of satellite and aerial images for better using machine learning
The photovoltaic (PV) industry boom and increased PV applications call for better planning
based on accurate and updated data on the installed capacity. Compared with the manual …
based on accurate and updated data on the installed capacity. Compared with the manual …
[HTML][HTML] GIScience can facilitate the development of solar cities for energy transition
The energy transition is increasingly being discussed and implemented to cope with the
growing environmental crisis. However, great challenges remain for effectively harvesting …
growing environmental crisis. However, great challenges remain for effectively harvesting …
[HTML][HTML] Roofpedia: Automatic map** of green and solar roofs for an open roofscape registry and evaluation of urban sustainability
Sustainable roofs, such as those with greenery and photovoltaic panels, contribute to the
roadmap for reducing the carbon footprint of cities. However, research on sustainable urban …
roadmap for reducing the carbon footprint of cities. However, research on sustainable urban …
Advancements in solar panel technology in civil engineering for revolutionizing renewable energy solutions—a review
Globally, solar energy has become a major contributor to the rapid adoption of renewable
energy. Significant energy savings have resulted from the widespread utilization of solar …
energy. Significant energy savings have resulted from the widespread utilization of solar …
[HTML][HTML] Sensitivity of measuring the urban form and greenery using street-level imagery: A comparative study of approaches and visual perspectives
Abstract Street View Imagery (SVI) is crucial in estimating indicators such as Sky View Factor
(SVF) and Green View Index (GVI), but (1) approaches and terminology differ across fields …
(SVF) and Green View Index (GVI), but (1) approaches and terminology differ across fields …
Map** seasonal changes of street greenery using multi-temporal street-view images
Street greenery offers various benefits to urban environments. In regions with climatic
variations among seasons, seasonal changes of vegetation may lead to fluctuations in the …
variations among seasons, seasonal changes of vegetation may lead to fluctuations in the …
[HTML][HTML] Using existing infrastructures of high-speed railways for photovoltaic electricity generation
Cities worldwide are step** up efforts to reshape their infrastructure to ensure a carbon-
neutral and sustainable future, leading to the rapid electrification of transportation systems …
neutral and sustainable future, leading to the rapid electrification of transportation systems …
Estimation of urban-scale photovoltaic potential: A deep learning-based approach for constructing three-dimensional building models from optical remote sensing …
Building-integrated photovoltaics are increasingly used to build low-carbon buildings and
promote energy transition. However, the absence of three-dimensional (3D) building models …
promote energy transition. However, the absence of three-dimensional (3D) building models …