Remote sensing of photovoltaic scenarios: Techniques, applications and future directions
Developing 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] Mapping the rapid development of photovoltaic power stations in northwestern China using remote sensing
Many leading countries are boosting renewables, especially solar energy, as a major way to
mitigate future energy crises and climate change. Particularly, in China, the number and …
mitigate future energy crises and climate change. Particularly, in China, the number and …
[HTML][HTML] Mapping 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 …
[HTML][HTML] Mapping 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 …
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 mapping 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 …
Land use/land cover mapping 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 …
Solar park detection from publicly available satellite imagery
V Plakman, J Rosier, J van Vliet - GIScience & Remote Sensing, 2022 - Taylor & Francis
The rapid increase in large-scale photovoltaic installations, or solar parks, causes a need to
monitor their amount and allocation, and assess their impacts. While their spectral signature …
monitor their amount and allocation, and assess their impacts. While their spectral signature …
[HTML][HTML] Identifying small decentralized solar systems in aerial images using deep learning
Statistics on installed solar energy systems (SES) play a crucial role in the solar energy
industry, providing valuable information for a wide range of stakeholders, such as policy …
industry, providing valuable information for a wide range of stakeholders, such as policy …
A hierarchical information extraction method for large-scale centralized photovoltaic power plants based on multi-source remote sensing images
F Ge, G Wang, G He, D Zhou, R Yin, L Tong - Remote Sensing, 2022 - mdpi.com
In the context of global sustainable development, solar energy is very widely used. The
installed capacity of photovoltaic panels in countries around the world, especially in China …
installed capacity of photovoltaic panels in countries around the world, especially in China …