[HTML][HTML] Deep learning-based change detection in remote sensing images: A review

A Shafique, G Cao, Z Khan, M Asad, M Aslam - Remote Sensing, 2022 - mdpi.com
Images gathered from different satellites are vastly available these days due to the fast
development of remote sensing (RS) technology. These images significantly enhance the …

A review of remote sensing applications for water security: Quantity, quality, and extremes

I Chawla, L Karthikeyan, AK Mishra - Journal of Hydrology, 2020 - Elsevier
Water resources are critical to the sustainability of life on Earth. With a growing population
and climate change, it is imperative to assess the security of these resources. Over the past …

Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine

B DeVries, C Huang, J Armston, W Huang… - Remote Sensing of …, 2020 - Elsevier
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 …

Recent advances and new frontiers in riverine and coastal flood modeling

K Jafarzadegan, H Moradkhani… - Reviews of …, 2023 - Wiley Online Library
Over the past decades, the scientific community has made significant efforts to simulate
flooding conditions using a variety of complex physically based models. Despite all …

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 …

Sentinel-1-based flood mapping: a fully automated processing chain

A Twele, W Cao, S Plank, S Martinis - International Journal of …, 2016 - Taylor & Francis
This article presents an automated Sentinel-1-based processing chain designed for flood
detection and monitoring in near-real-time (NRT). Since no user intervention is required at …

Multi‐temporal synthetic aperture radar flood mapping using change detection

MA Clement, CG Kilsby, P Moore - Journal of Flood Risk …, 2018 - Wiley Online Library
A change detection and thresholding methodology has been adapted from previous studies
to determine the extent of flooding for 13 Sentinel‐1 synthetic aperture radar images …

[HTML][HTML] Fully convolutional neural network for rapid flood segmentation in synthetic aperture radar imagery

E Nemni, J Bullock, S Belabbes, L Bromley - Remote Sensing, 2020 - mdpi.com
Rapid response to natural hazards, such as floods, is essential to mitigate loss of life and the
reduction of suffering. For emergency response teams, access to timely and accurate data is …

[HTML][HTML] Inundation extent mapping by synthetic aperture radar: A review

X Shen, D Wang, K Mao, E Anagnostou, Y Hong - Remote Sensing, 2019 - mdpi.com
Recent flood events have demonstrated a demand for satellite-based inundation mapping in
near real-time (NRT). Simulating and forecasting flood extent is essential for risk mitigation …

Identifying floods and flood-affected paddy rice fields in Bangladesh based on Sentinel-1 imagery and Google Earth Engine

M Singha, J Dong, S Sarmah, N You, Y Zhou… - ISPRS Journal of …, 2020 - Elsevier
Globally, flooding is the leading cause of natural disaster related deaths, especially in
Bangladesh where approximately one third of national area gets flooded annually by …