Flood detection with SAR: A review of techniques and datasets

D Amitrano, G Di Martino, A Di Simone, P Imperatore - Remote Sensing, 2024 - mdpi.com
Floods are among the most severe and impacting natural disasters. Their occurrence rate
and intensity have been significantly increasing worldwide in the last years due to climate …

Urban flood map** with an active self-learning convolutional neural network based on TerraSAR-X intensity and interferometric coherence

Y Li, S Martinis, M Wieland - ISPRS Journal of Photogrammetry and …, 2019 - Elsevier
Abstract Synthetic Aperture Radar (SAR) remote sensing has been widely used for flood
map** and monitoring. Nevertheless, flood detection in urban areas still proves to be …

Unsupervised rapid flood map** 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 map** exploiting Sentinel-1 synthetic
aperture radar data. In particular, we propose the usage of ground range detected (GRD) …

[HTML][HTML] Evaluating urban building damage of 2023 Kahramanmaras, Turkey earthquake sequence using SAR change detection

X Wang, G Feng, L He, Q An, Z ** using multitemporal SAR images in combination with self-organizing map clustering and object-based image analysis
D Amitrano, G Di Martino, A Iodice, D Riccio, G Ruello - Remote Sensing, 2022 - mdpi.com
Map** urban areas from space is a complex task involving the definition of what should be
considered as part of an urban agglomerate beyond the built-up features, thus modelling the …

Semantic unsupervised change detection of natural land cover with multitemporal object-based analysis on SAR images

D Amitrano, R Guida, P Iervolino - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Change detection is one of the most addressed topics in the remote sensing community.
When performed on synthetic aperture radar images, the most critical issues are as follows …

Urban Flood Map** Using Satellite Synthetic Aperture Radar Data: A review of characteristics, approaches, and datasets

J Zhao, M Li, Y Li, P Matgen… - IEEE Geoscience and …, 2024 - ieeexplore.ieee.org
Understanding the extent of urban flooding is crucial for assessing building damage,
casualties and economic losses. Synthetic Aperture Radar (SAR) technology offers …

Combined multi-time series SAR imagery and InSAR technology for rice identification in cloudy regions

R Zhang, Z Tang, D Luo, H Luo, S You, T Zhang - Applied Sciences, 2021 - mdpi.com
The use of remote sensing technology to monitor farmland is currently the mainstream
method for crop research. However, in cloudy and misty regions, the use of optical remote …

Optimal transport under land cover information constraints: Fusing heterogeneous SAR imagery and social media data

Z Liu, J Li, L Wang, A Plaza - IEEE Transactions on Geoscience …, 2024 - ieeexplore.ieee.org
The integration of remote sensing and citizen science offers an unprecedented opportunity
for observing the Earth and human activities. Recently, heterogeneous data fusion models …