Power ramp-rates of utility-scale PV systems under passing clouds: Module-level emulation with cloud shadow modeling
Sign Up to like & getrecommendations! Published in 2020 at "Applied Energy"
DOI: 10.1016/j.apenergy.2020.114980
Abstract: Abstract The short-term power output variability of solar photovoltaic (PV) systems caused by passing clouds is becoming a major concern for grid operators. As the penetration of utility-scale PV systems boosts, the rapid power fluctuations… read more here.
Keywords: utility scale; shadow; cloud shadow; scale systems ... See more keywords
A cloud shadow detection method combined with cloud height iteration and spectral analysis for Landsat 8 OLI data
Sign Up to like & getrecommendations! Published in 2018 at "Isprs Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2018.02.016
Abstract: Abstract Although enhanced over prior Landsat instruments, Landsat 8 OLI can obtain very high cloud detection precisions, but for the detection of cloud shadows, it still faces great challenges. Geometry-based cloud shadow detection methods are… read more here.
Keywords: cloud; geometry; shadow detection; cloud shadow ... See more keywords
Towards a novel approach for Sentinel-3 synergistic OLCI/SLSTR cloud and cloud shadow detection based on stereo cloud-top height estimation
Sign Up to like & getrecommendations! Published in 2021 at "ISPRS Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2021.09.013
Abstract: Abstract Sentinel-3 is an Earth observation satellite constellation launched by the European Space Agency. Each satellite carries two optical multispectral instruments: the Ocean and Land Colour Instrument (OLCI) and the Sea and Land Surface Temperature… read more here.
Keywords: slstr; cloud; olci slstr; cloud shadow ... See more keywords
Atmospheric correction of hyperspectral airborne GCAS measurements over the Louisiana Shelf using a cloud shadow approach
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2017.1280633
Abstract: ABSTRACT As an image-driven method to correct for atmospheric effects, the cloud shadow (CS) approach does not require accurate radiometric calibration of the sensor, making it feasible to process remotely sensed data when radiometric calibration… read more here.
Keywords: shadow approach; gcas; cloud shadow; approach ... See more keywords
Pragmatic Augmentation Algorithms for Deep Learning-Based Cloud and Cloud Shadow Detection in Remote Sensing Imagery
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3084932
Abstract: Identification of clouds and their shadows are two major preprocessing steps for providing an effective interpretation of remotely sensed optical images. Although deep learning-based methods have proved to deliver competent performance for detecting clouds and… read more here.
Keywords: cloud shadow; cloud cloud; cloud; deep learning ... See more keywords
Dual-Branch Network for Cloud and Cloud Shadow Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3175613
Abstract: Cloud and cloud shadow segmentation is one of the most important issues in remote sensing image processing. Most of the remote sensing images are very complicated. In this work, a dual-branch model composed of transformer… read more here.
Keywords: branch; cloud cloud; segmentation; cloud shadow ... See more keywords
PANDA: parallel asymmetric network with double attention for cloud and its shadow detection
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Applied Remote Sensing"
DOI: 10.1117/1.jrs.15.046512
Abstract: Abstract. In remote sensing images, the complex and changeable background often interferes with the detection of cloud and its shadow, which leads to the phenomenon of missing detection in areas with similar background colors. In… read more here.
Keywords: cloud shadow; double attention; attention; network ... See more keywords