Cloud detection methodologies: Variants and development—A review
S Mahajan, B Fataniya - Complex & Intelligent Systems, 2020 - Springer
Cloud detection is an essential and important process in satellite remote sensing.
Researchers proposed various methods for cloud detection. This paper reviews recent …
Researchers proposed various methods for cloud detection. This paper reviews recent …
A data-driven analysis of flash flood hazard, fatalities, and damages over the CONUS during 1996–2017
A Ahmadalipour, H Moradkhani - Journal of Hydrology, 2019 - Elsevier
Flash floods are among the most disastrous natural hazards worldwide because of their
rapid onset that limits effective emergency response and management. Understanding the …
rapid onset that limits effective emergency response and management. Understanding the …
Conditional generative adversarial networks (cGANs) for near real-time precipitation estimation from multispectral GOES-16 satellite imageries—PERSIANN-cGAN
In this paper, we present a state-of-the-art precipitation estimation framework which
leverages advances in satellite remote sensing as well as Deep Learning (DL). The …
leverages advances in satellite remote sensing as well as Deep Learning (DL). The …
[HTML][HTML] PERSIANN Dynamic Infrared–Rain rate model (PDIR) for high-resolution, real-time satellite precipitation estimation
Precipitation measurements with high spatiotemporal resolution are a vital input for
hydrometeorological and water resources studies; decision-making in disaster …
hydrometeorological and water resources studies; decision-making in disaster …
Unveiling four decades of intensifying precipitation from tropical cyclones using satellite measurements
Increases in precipitation rates and volumes from tropical cyclones (TCs) caused by
anthropogenic warming are predicted by climate modeling studies and have been identified …
anthropogenic warming are predicted by climate modeling studies and have been identified …
UVLens: Urban village boundary identification and population estimation leveraging open government data
Urban villages refer to the residential areas lagging behind the rapid urbanization process in
many developing countries. These areas are usually with overcrowded buildings, high …
many developing countries. These areas are usually with overcrowded buildings, high …
Correlation structures between satellite all-sky infrared brightness temperatures and the atmospheric state at storm scales
Y Zhang, EE Clothiaux, DJ Stensrud - Advances in Atmospheric Sciences, 2022 - Springer
This study explores the structures of the correlations between infrared (IR) brightness
temperatures (BTs) from the three water vapor channels of the Advanced Baseline Imager …
temperatures (BTs) from the three water vapor channels of the Advanced Baseline Imager …
Can remote sensing technologies capture the extreme precipitation event and its cascading hydrological response? A case study of Hurricane Harvey using EF5 …
A new generation of precipitation measurement products has emerged, and their
performances have gained much attention from the scientific community, such as the Multi …
performances have gained much attention from the scientific community, such as the Multi …
[HTML][HTML] Identification of tropical cyclones via deep convolutional neural network based on satellite cloud images
Tropical cyclones (TCs) are one of the most destructive natural disasters. For the prevention
and mitigation of TC-induced disasters, real-time monitoring and prediction of TCs is …
and mitigation of TC-induced disasters, real-time monitoring and prediction of TCs is …
[HTML][HTML] Machine learning approaches for improving near-real-time IMERG rainfall estimates by integrating cloud properties from NOAA CDR PATMOS-x
Abstract The Global Precipitation Measurement (GPM) mission provides satellite
precipitation products with an unprecedented spatiotemporal resolution and spatial …
precipitation products with an unprecedented spatiotemporal resolution and spatial …