Advances and prospects on estimating solar photovoltaic installation capacity and potential based on satellite and aerial images

H Mao, X Chen, Y Luo, J Deng, Z Tian, J Yu… - … and Sustainable Energy …, 2023 - Elsevier
Solar photovoltaic (PV) system, as one kind of the most promising renewable energy
technologies, plays a key role in reducing carbon emissions to achieve the targets of global …

[HTML][HTML] PVNet: A novel semantic segmentation model for extracting high-quality photovoltaic panels in large-scale systems from high-resolution remote sensing …

J Wang, X Chen, W Jiang, L Hua, J Liu, H Sui - International Journal of …, 2023 - Elsevier
Timely extraction of high-quality photovoltaic (PV) panels from high-resolution remote
sensing imagery can contribute to a comprehensive understanding of energy production …

Mapping photovoltaic panels in coastal China using Sentinel-1 and Sentinel-2 images and Google Earth Engine

H Zhang, P Tian, J Zhong, Y Liu, J Li - Remote Sensing, 2023 - mdpi.com
Photovoltaic (PV) panels convert sunlight into electricity, and play a crucial role in energy
decarbonization, and in promoting urban resources and environmental sustainability. The …

[HTML][HTML] Rooftop PV segmenter: A size-aware network for segmenting rooftop photovoltaic systems from high-resolution imagery

J Wang, X Chen, W Shi, W Jiang, X Zhang, L Hua… - Remote Sensing, 2023 - mdpi.com
The photovoltaic (PV) industry boom has accelerated the need for accurately understanding
the spatial distribution of PV energy systems. The synergy of remote sensing and artificial …

Uncovering the rapid expansion of photovoltaic power plants in China from 2010 to 2022 using satellite data and deep learning

Y Chen, J Zhou, Y Ge, J Dong - Remote Sensing of Environment, 2024 - Elsevier
China's rapid deployment of solar photovoltaic (PV) power plants has positioned it as the
global leader in cumulative installed capacity. The expansion patterns of PV power plants in …

[HTML][HTML] Artificial Intelligence in Agricultural Mapping: A Review

R Espinel, G Herrera-Franco, JL Rivadeneira García… - Agriculture, 2024 - mdpi.com
Artificial intelligence (AI) plays an essential role in agricultural mapping. It reduces costs and
time and increases efficiency in agricultural management activities, which improves the food …

Solar photovoltaic energy development and biodiversity conservation: Current knowledge and research gaps

J Gómez‐Catasús, MB Morales, D Giralt… - Conservation …, 2024 - Wiley Online Library
Solar photovoltaic (PV) has become the second renewable energy source, giving rise to
potential conflicts with biodiversity conservation. However, the information available about …

[HTML][HTML] Assessment of the large-scale extraction of photovoltaic (PV) panels with a workflow based on artificial neural networks and algorithmic postprocessing of …

MÁ Manso-Callejo, CI Cira, JJ Arranz-Justel… - International Journal of …, 2023 - Elsevier
Having a complete and high-quality geospatial catalogue of existing large-scale
photovoltaic (PV) panels is very important nowadays, due to the rapid increase in the use of …

The Road to India's Renewable Energy Transition Must Pass through Crowded Lands

JM Kiesecker, SK Nagaraju, JR Oakleaf, A Ortiz… - Land, 2023 - mdpi.com
The significance of renewable energy in achieving necessary reductions in emissions to
limit global warming to 1.5 degrees Celsius is widely acknowledged. However, there is …

[HTML][HTML] Influence of Wind and Rainfall on the Performance of a Photovoltaic Module in a Dusty Environment

B Stankov, A Terziev, M Vassilev, M Ivanov - Energies, 2024 - mdpi.com
This study presents an analysis of the influence of weather conditions on the performance of
a multicrystalline silicon photovoltaic module, which operates under constant resistive load …