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 …

Prediction models for urban flood evolution for satellite remote sensing

R Lammers, A Li, S Nag, V Ravindra - Journal of Hydrology, 2021 - Elsevier
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 …

Flood mapping and damage assessment due to the super cyclone Yaas using Google Earth Engine in Purba Medinipur, West Bengal, India

M Khatun, S Garai, J Sharma, R Singh, S Tiwari… - Environmental …, 2022 - Springer
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 …

An Adaptive Approach to Detect and Track the Cyclone Path Using Remote Sensing Data

S Verma, A Agarwal… - 2022 IEEE 19th India …, 2022 - ieeexplore.ieee.org
With the advancement in technology in recent years, the interest of researchers,
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 …

Czekanowsky Hypergraph-based Deep Learning Classifier for Precision Cyclone Forecasting

K Rajesh, L Ravi, NM Rao, V Ramaswamy… - IEEE …, 2024 - ieeexplore.ieee.org
Early prediction of cyclones helps reduce deaths and damage to properties worldwide. With
the advancement in satellite imaging technology, obtaining atmospheric images and …

Designing a disruption tolerant network for reactive spacecraft constellations

S Nag, M Sanchez Net, A Li, V Ravindra - ASCEND 2020, 2020 - arc.aiaa.org
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 …

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 …

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 …

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 …