The Earth-Observing Satellite Constellation: A review from a meteorological perspective of a complex, interconnected global system with extensive applications
SA Boukabara, J Eyre, RA Anthes… - … and Remote Sensing …, 2021 - ieeexplore.ieee.org
The global Earth-observing satellite constellation (EOSC) is a major international asset that
has developed since 1960 with a dramatic growth in size and complexity in the recent past …
has developed since 1960 with a dramatic growth in size and complexity in the recent past …
Prediction models for urban flood evolution for satellite remote sensing
Accurate and timely flood forecasts are critical for protecting people and infrastructure in a
changing climate. Satellite remote sensing provides the necessary wide area coverage and …
changing climate. Satellite remote sensing provides the necessary wide area coverage and …
Flood mapping and damage assessment due to the super cyclone Yaas using Google Earth Engine in Purba Medinipur, West Bengal, India
This study maps flood inundation and estimates the damage caused by super cyclone Yaas
in Purba Medinipur, India. We used Google Earth Engine (GEE) to create a flood inundation …
in Purba Medinipur, India. We used Google Earth Engine (GEE) to create a flood inundation …
An Adaptive Approach to Detect and Track the Cyclone Path Using Remote Sensing Data
With the advancement in technology in recent years, the interest of researchers,
policymakers, and authorities associated with the evaluation of disasters has increased …
policymakers, and authorities associated with the evaluation of disasters has increased …
Tropical cyclone trajectory based on satellite remote sensing prediction and time attention mechanism ConvLSTM model
T Li, M Lai, S Nie, H Liu, Z Liang, W Lv - Big Data Research, 2024 - Elsevier
The accurate and timely prediction of tropical cyclones is of paramount importance in
mitigating the impact of these catastrophic meteorological events. Presently, methods for …
mitigating the impact of these catastrophic meteorological events. Presently, methods for …
Czekanowsky Hypergraph-based Deep Learning Classifier for Precision Cyclone Forecasting
Early prediction of cyclones helps reduce deaths and damage to properties worldwide. With
the advancement in satellite imaging technology, obtaining atmospheric images and …
the advancement in satellite imaging technology, obtaining atmospheric images and …
Designing a disruption tolerant network for reactive spacecraft constellations
Small spacecraft can now support operational agility due to cognitive payloads, tunable duty
cycles, and precise attitude control systems that can re-orient the spacecraft and capture …
cycles, and precise attitude control systems that can re-orient the spacecraft and capture …
Tropical cyclone ensemble forecast framework based on spatiotemporal model
T Li, K Che, J Lu, Y Zeng, W Lv, Z Liang - Earth Science Informatics, 2024 - Springer
To explore tropical cyclone prediction methods that integrate multimodal meteorological
data, this study proposes a novel approach. The proposed model employs an LSTM-based …
data, this study proposes a novel approach. The proposed model employs an LSTM-based …
An optimal model using single-dimensional CAE-IRNN based SPOA for cyclone track prediction
AR Selvaraj, TP Gurusamy - Expert Systems with Applications, 2023 - Elsevier
Tropical cyclones have a devastating impact on both human life and the natural
environment, and accurate prediction of their tracks is critical for minimizing their negative …
environment, and accurate prediction of their tracks is critical for minimizing their negative …
A Comprehensive Investigation on Cyclone Prediction Using Deep Learning Technique
ATRK Priya, R Anuja, RS Devi… - … on Circuit Power …, 2023 - ieeexplore.ieee.org
Weather forecasters have long been concerned with cyclones, and over the recent century,
scientists have conducted numerous research on axially symmetric formations, operational …
scientists have conducted numerous research on axially symmetric formations, operational …