Cloud dynamics are the main factor influencing the intermittent variability of short-term solar
irradiance, and therefore affect the solar farm output. Sky images have been widely used for …

Cloud and cloud shadow detection is an inevitable preprocessing step for analyzing
Landsat time series. This chapter provides a comprehensive review of all the relevant …

Cloud detection is one of the important tasks for remote sensing image (RSI) preprocessing.
In this paper, we utilize the thumbnail (ie, preview image) of RSI, which contains the …

In high-resolution image data, multilevel cloud detection is a key task for remote sensing
data processing. Generally, it is difficult to obtain high accuracy for multilevel cloud detection …

Cloud detection plays an essential role in meteorological research and has received
considerable attention in recent years. However, this issue is particularly challenging due to …

With increasing use of photovoltaic (PV) power generation by utilities and their residential
customers, the need for accurate intra-hour and day-ahead solar irradiance forecasting has …

Cloud cover is a phenomenon that inevitably exists in remote sensing images, and ground
information is lost due to the presence of clouds. To a large extent, it causes degradation of …

We estimate weather information from single images, as an important clue to unveil real-
world characteristics available in the cyberspace, and as a complementary feature to …

Distributed PV power generation necessitates both intra-hour and day-ahead forecasting of
solar irradiance. The UTSA SkyImager is an inexpensive all-sky imaging system built using …

Cloud detection is one of the key technologies in the field of remote sensing. Although
extensive deep learning-based cloud detection methods achieve good performance, their …