A cloud detection method based on relationship between objects of cloud and cloud-shadow for Chinese moderate to high resolution satellite imagery
B Zhong, W Chen, S Wu, L Hu, X Luo… - IEEE Journal of …, 2017 - ieeexplore.ieee.org
Cloud detection of satellite imagery is very important for quantitative remote sensing
research and remote sensing applications. However, many satellite sensors do not have …
research and remote sensing applications. However, many satellite sensors do not have …
An integrated deep learning framework of U-Net and inception module for cloud detection of remote sensing images
A Kumthekar, GR Reddy - Arabian Journal of Geosciences, 2021 - Springer
With the increasing applications of deep learning in remote sensing image analysis, we
propose an inception U-Net architecture for automating cloud detection in multispectral …
propose an inception U-Net architecture for automating cloud detection in multispectral …
Classification of clouds in satellite imagery using adaptive fuzzy sparse representation
W **, F Gong, X Zeng, R Fu - Sensors, 2016 - mdpi.com
Automatic cloud detection and classification using satellite cloud imagery have various
meteorological applications such as weather forecasting and climate monitoring. Cloud …
meteorological applications such as weather forecasting and climate monitoring. Cloud …
Automatic cloud detection for high spatial resolution multi-temporal images
In this article, we propose an automatic cloud detection process for images with high spatial
resolution. First, thick cloud regions are detected by applying a simple threshold method to …
resolution. First, thick cloud regions are detected by applying a simple threshold method to …
Geostationary satellite observation of precipitable water vapor using an Empirical Orthogonal Function (EOF) based reconstruction technique over Eastern China
Water vapor, as one of the most important greenhouse gases, is crucial for both climate and
atmospheric studies. Considering the high spatial and temporal variations of water vapor, a …
atmospheric studies. Considering the high spatial and temporal variations of water vapor, a …
Simulating flash floods using geostationary satellite-based rainfall estimation coupled with a land surface model
DPY Suseno, TJ Yamada - Hydrology, 2020 - mdpi.com
Clarifying hydrologic behavior, especially behavior related to extreme events such as flash
floods, is vital for flood mitigation and management. However, discharge and rainfall …
floods, is vital for flood mitigation and management. However, discharge and rainfall …
A preliminary comparative study on the feasibility of a multipurpose numerical weather model for prediction of cumulonimbus clouds in indonesia
Prediction of cumulonimbus (Cb) clouds in Indonesia is a necessity for civil aviation
operations. The ability comparison of numerical weather prediction (NWP) multimodel to …
operations. The ability comparison of numerical weather prediction (NWP) multimodel to …