Iterative integration of deep learning in hybrid Earth surface system modelling

M Chen, Z Qian, N Boers, AJ Jakeman… - Nature Reviews Earth & …, 2023 - nature.com
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 …

Remote sensing of photovoltaic scenarios: Techniques, applications and future directions

Q Chen, X Li, Z Zhang, C Zhou, Z Guo, Z Liu, H Zhang - Applied Energy, 2023 - Elsevier
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 …

[HTML][HTML] Understanding rooftop PV panel semantic segmentation of satellite and aerial images for better using machine learning

P Li, H Zhang, Z Guo, S Lyu, J Chen, W Li… - Advances in applied …, 2021 - Elsevier
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 …

[HTML][HTML] GIScience can facilitate the development of solar cities for energy transition

R Zhu, MP Kwan, ATD Perera, H Fan, B Yang… - Advances in Applied …, 2023 - Elsevier
The energy transition is increasingly being discussed and implemented to cope with the
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

AN Wu, F Biljecki - Landscape and Urban Planning, 2021 - Elsevier
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 …

Advancements in solar panel technology in civil engineering for revolutionizing renewable energy solutions—a review

DS Vijayan, E Koda, A Sivasuriyan, J Winkler… - Energies, 2023 - mdpi.com
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 …

[HTML][HTML] Sensitivity of measuring the urban form and greenery using street-level imagery: A comparative study of approaches and visual perspectives

F Biljecki, T Zhao, X Liang, Y Hou - International Journal of Applied Earth …, 2023 - Elsevier
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 …

Map** seasonal changes of street greenery using multi-temporal street-view images

Y Han, T Zhong, AGO Yeh, X Zhong, M Chen… - Sustainable Cities and …, 2023 - Elsevier
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 …

[HTML][HTML] Using existing infrastructures of high-speed railways for photovoltaic electricity generation

Z Chen, M Jiang, L Qi, W Wei, Z Yu, W Wei, X Yu… - Resources …, 2022 - Elsevier
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 …

Estimation of urban-scale photovoltaic potential: A deep learning-based approach for constructing three-dimensional building models from optical remote sensing …

L Yan, R Zhu, MP Kwan, W Luo, D Wang… - Sustainable Cities and …, 2023 - Elsevier
Building-integrated photovoltaics are increasingly used to build low-carbon buildings and
promote energy transition. However, the absence of three-dimensional (3D) building models …