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X Wang, X **ao, X Zhang, H Ye, J Dong, Q He… - Journal of Cleaner …, 2023 - Elsevier
Numbers and sizes of photovoltaic solar power plants have grown unprecedentedly over the
last few years in China, which aims to achieve a carbon emission peak by 2030 and carbon …

[HTML][HTML] Selection of photovoltaic panels based on ranges of criteria weights and balanced assessment criteria

P Ziemba - Energies, 2023 - mdpi.com
In recent years, the share of PV (photovoltaic) panels in the generation of renewable energy
has been dynamically growing. During this time, the Polish government introduced …

Characterizing the development of photovoltaic power stations and their impacts on vegetation conditions from Landsat time series during 1990–2022

S Ma, J Liu, P Zhang, X Tu, J Zhou, Y Liu, Y Zheng - Remote Sensing, 2023 - mdpi.com
To achieve carbon peaking and carbon neutrality in China, photovoltaic (PV) power
generation has become increasingly important for promoting a low-carbon transition. The …

Unravelling spatiotemporal patterns of solar photovoltaic plants development in China in the 21st century

Z Wang, Z Hao, X Jia, W Zhao, Y Du… - Environmental Research …, 2024 - iopscience.iop.org
Solar energy, as an environmentally sustainable power source, is gaining increasing
popularity worldwide, driving a surge in the number of solar photovoltaic (PV) plants. China …

Felling for Photovoltaics: Remote Sensing for the Detection of Solar Facilities in Maine

JA Lane - 2024 - digitalcommons.colby.edu
Solar power is an area with increasing development in the State of Maine. Photovoltaic
solar, which uses large arrays of panels constructed on facilities of several hectares, is an …

The effects of fragmentation on temperate forests in the northeastern United States: measuring the extent and impacts on forest growth and structure

LL Morreale - 2023 - search.proquest.com
Forest fragmentation is a pervasive consequence of human land use that creates novel
forest boundaries in place of contiguous, intact forest. Boundary forests, or edges …

Deeppvmap: Deep Photovoltaic Map for Efficient Segmentation of Solar Panels from Low-Resolution Aerial Imagery

YH Wang, Y Cartus Bo-**ang, HM Liao… - Hsiung-Ming and … - papers.ssrn.com
Abstract We present DeepPVMap, a Deep Learning (DL) system that detects and segments
Photovoltaic (PV) panels out of low-resolution (50 cm) aerial imagery for efficient extraction …