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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 …
Advances and prospects on estimating solar photovoltaic installation capacity and potential based on satellite and aerial images
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 …
technologies, plays a key role in reducing carbon emissions to achieve the targets of global …
[HTML][HTML] Map** the rapid development of photovoltaic power stations in northwestern China using remote sensing
Z ** photovoltaic power plants in China using Landsat, random forest, and Google Earth Engine
Photovoltaic (PV) technology, an efficient solution for mitigating the impacts of climate
change, has been increasingly used across the world to replace fossil fuel power to …
change, has been increasingly used across the world to replace fossil fuel power to …
Map** global water-surface photovoltaics with satellite images
Z ** based on GEE for the monitoring of changes in ecosystem types in the upper Yellow River basin over the Tibetan Plateau
The upper Yellow River basin over the Tibetan Plateau (TP) is an important ecological
barrier in northwestern China. Effective LULC products that enable the monitoring of …
barrier in northwestern China. Effective LULC products that enable the monitoring of …
Leaf area index estimation of pergola-trained vineyards in arid regions using classical and deep learning methods based on UAV-based RGB images
Timely and accurate map** of leaf area index (LAI) in vineyards plays an important role for
management choices in precision agricultural practices. However, only a little work has …
management choices in precision agricultural practices. However, only a little work has …
[HTML][HTML] Map** of decentralised photovoltaic and solar thermal systems by remote sensing aerial imagery and deep machine learning for statistic generation
J Lindahl, R Johansson, D Lingfors - Energy and AI, 2023 - Elsevier
As a mean to monitor the rapid expansion of the highly decentralized PV market, identifying
solar energy systems in aerial imagery by deep machine learning, is a research field that is …
solar energy systems in aerial imagery by deep machine learning, is a research field that is …
PV Identifier: Extraction of small-scale distributed photovoltaics in complex environments from high spatial resolution remote sensing images
The precise location and size of distributed photovoltaics (PVs) is critical to infer the actual
installed capacity and assess the remaining PV generation potential, and is therefore the …
installed capacity and assess the remaining PV generation potential, and is therefore the …
[HTML][HTML] Remote-sensing extraction and carbon emission reduction benefit assessment for centralized photovoltaic power plants in Agrivoltaic systems
C Huang, L **e, W Chen, Y Lin, Y Wu, P Li, W Chen… - Applied Energy, 2024 - Elsevier
The utilization of renewable energy is an essential way to address climate change and
achieve “carbon neutrality”. As one of the most promising strategies for energy development …
achieve “carbon neutrality”. As one of the most promising strategies for energy development …