On the use of unmanned aerial systems for environmental monitoring

S Manfreda, MF McCabe, PE Miller, R Lucas… - Remote sensing, 2018 - mdpi.com
Environmental monitoring plays a central role in diagnosing climate and management
impacts on natural and agricultural systems; enhancing the understanding of hydrological …

Water-body segmentation for SAR images: past, current, and future

Z Guo, L Wu, Y Huang, Z Guo, J Zhao, N Li - Remote Sensing, 2022 - mdpi.com
Synthetic Aperture Radar (SAR), as a microwave sensor that can sense a target all day or
night under all-weather conditions, is of great significance for detecting water resources …

Interpretable spatio-temporal attention LSTM model for flood forecasting

Y Ding, Y Zhu, J Feng, P Zhang, Z Cheng - Neurocomputing, 2020 - Elsevier
Modeling interpretable artificial intelligence (AI) for flood forecasting represents a serious
challenge: both accuracy and interpretability are indispensable. Because of the uncertainty …

Satlaspretrain: A large-scale dataset for remote sensing image understanding

F Bastani, P Wolters, R Gupta… - Proceedings of the …, 2023 - openaccess.thecvf.com
Remote sensing images are useful for a wide variety of planet monitoring applications, from
tracking deforestation to tackling illegal fishing. The Earth is extremely diverse---the amount …

Bayesian network modeling of accident investigation reports for aviation safety assessment

X Zhang, S Mahadevan - Reliability Engineering & System Safety, 2021 - Elsevier
Safety assurance is of paramount importance in the air transportation system. In this paper,
we analyze the historical passenger airline accidents that happened from 1982 to 2006 as …

Unsupervised rapid flood mapping using Sentinel-1 GRD SAR images

D Amitrano, G Di Martino, A Iodice… - … on Geoscience and …, 2018 - ieeexplore.ieee.org
We present a new methodology for rapid flood mapping exploiting Sentinel-1 synthetic
aperture radar data. In particular, we propose the usage of ground range detected (GRD) …

Fast flood extent monitoring with SAR change detection using google earth engine

E Hamidi, BG Peter, DF Muñoz… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Flooding is one of the most frequent and disastrous natural hazards triggered by extreme
precipitation, high river runoff, hurricane storm surges, and the compounding effects of …

Change detection in heterogenous remote sensing images via homogeneous pixel transformation

Z Liu, G Li, G Mercier, Y He… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The change detection in heterogeneous remote sensing images remains an important and
open problem for damage assessment. We propose a new change detection method for …

Application of deep learning on uav-based aerial images for flood detection

HS Munawar, F Ullah, S Qayyum, A Heravi - Smart Cities, 2021 - mdpi.com
Floods are one of the most fatal and devastating disasters, instigating an immense loss of
human lives and damage to property, infrastructure, and agricultural lands. To cater to this …

[HTML][HTML] Siam-DWENet: Flood inundation detection for SAR imagery using a cross-task transfer siamese network

B Zhao, H Sui, J Liu - International Journal of Applied Earth Observation …, 2023 - Elsevier
Emergency management agencies must address the challenges presented by frequent
flooding events. Remote sensing imagery provides a means for timely monitoring of rapidly …