Pixel level fusion techniques for SAR and optical images: A review
SC Kulkarni, PP Rege - Information Fusion, 2020 - Elsevier
Image Fusion is a process of combining two or more images into a single image which is
more informative and hence more useful from an interpretation point of view. With the rapid …
more informative and hence more useful from an interpretation point of view. With the rapid …
Computer vision and IoT-based sensors in flood monitoring and mapping: A systematic review
Floods are amongst the most common and devastating of all natural hazards. The alarming
number of flood-related deaths and financial losses suffered annually across the world call …
number of flood-related deaths and financial losses suffered annually across the world call …
Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine
Synthetic aperture radar (SAR) sensors represent an indispensable data source for flood
disaster planners and responders, given their ability to image the Earth's surface nearly …
disaster planners and responders, given their ability to image the Earth's surface nearly …
A local thresholding approach to flood water delineation using Sentinel-1 SAR imagery
J Liang, D Liu - ISPRS journal of photogrammetry and remote sensing, 2020 - Elsevier
Emergency response to floods requires timely information on water extents, which can be
produced by satellite-based remote sensing. As the synthetic aperture radar (SAR) can emit …
produced by satellite-based remote sensing. As the synthetic aperture radar (SAR) can emit …
A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area
This research proposes and evaluates a new approach for flash flood susceptibility mapping
based on Deep Learning Neural Network (DLNN)) algorithm, with a case study at a high …
based on Deep Learning Neural Network (DLNN)) algorithm, with a case study at a high …
From local to regional compound flood mapping with deep learning and data fusion techniques
Compound flooding (CF), as a result of oceanic, hydrological, meteorological and
anthropogenic drivers, is often studied with hydrodynamic models that combine either …
anthropogenic drivers, is often studied with hydrodynamic models that combine either …
Flood mapping and flood dynamics of the Mekong Delta: ENVISAT-ASAR-WSM based time series analyses
Satellite remote sensing is a valuable tool for monitoring flooding. Microwave sensors are
especially appropriate instruments, as they allow the differentiation of inundated from non …
especially appropriate instruments, as they allow the differentiation of inundated from non …
Comparing four operational SAR-based water and flood detection approaches
S Martinis, C Kuenzer, A Wendleder… - … Journal of Remote …, 2015 - Taylor & Francis
In recent years, the German Remote Sensing Data Center (DFD) of the German Aerospace
Center (DLR) has gained a lot of experience in water surface extraction from synthetic …
Center (DLR) has gained a lot of experience in water surface extraction from synthetic …
Synthetic aperture radar for geosciences
Abstract Synthetic Aperture Radar (SAR) has emerged as a pivotal technology in
geosciences, offering unparalleled insights into Earth's surface. Indeed, its ability to provide …
geosciences, offering unparalleled insights into Earth's surface. Indeed, its ability to provide …
Review of wetting and drying algorithms for numerical tidal flow models
SC Medeiros, SC Hagen - International journal for numerical …, 2013 - Wiley Online Library
SUMMARY A review of wetting and drying (WD) algorithms used by contemporary numerical
models based on the shallow water equations is presented. The numerical models reviewed …
models based on the shallow water equations is presented. The numerical models reviewed …