Large-area photovoltaic panel image

Can remote sensing derived data be used for large-scale photovoltaic power stations?

Scientific Data 11, Article number: 198 (2024) Cite this article We provide a remote sensing derived dataset for large-scale ground-mounted photovoltaic (PV) power stations in China of 2020, which has high spatial resolution of 10 meters.

What is remote sensing derived dataset for large-scale photovoltaic power stations in China?

We provide a remote sensing derived dataset for large-scale ground-mounted photovoltaic (PV) power stations in China of 2020, which has high spatial resolution of 10 meters. The dataset is based on the Google Earth Engine (GEE) cloud computing platform via random forest classifier and active learning strategy.

Why do satellite imagery datasets include large-scale solar panel annotations?

Existing satellite imagery datasets often include large-scale, or non-residential, solar panel annotations due to resolution of the imagery and therefore ability to detect small objects 9, 10.

How has the photovoltaic market changed over the past two years?

The photovoltaic (PV) market has experienced rapid growth over the past two decades owing to the reduced cost of PV modules and support programs from governments (La Monaca and Ryan, 2017; Yan et al., 2019). Between 2000 and 2020, worldwide installed capacity increased from 4 W to 714 GW, consistently exceeding expectations (IRENA, 2021).

Can satellite and aerial photography provide accurate PV information?

With the advance of spatiotemporal resolution of onboard sensors, satellite and aerial photography can provide up-to-date images of specific ground targets, making them an ideal source for obtaining accurate PV information (Perez et al., 2001; Peters et al., 2018; Wang et al., 2018).