Flood modeling and prediction using earth observation data
The ability to map floods from satellites has been known for over 40 years. Early images of
floods were rather difficult to obtain, and flood map** from satellites was thus rather …
floods were rather difficult to obtain, and flood map** from satellites was thus rather …
Flood detection with SAR: A review of techniques and datasets
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 …
and intensity have been significantly increasing worldwide in the last years due to climate …
[HTML][HTML] Map** wetland characteristics using temporally dense Sentinel-1 and Sentinel-2 data: A case study in the St. Lucia wetlands, South Africa
B Slagter, NE Tsendbazar, A Vollrath… - International Journal of …, 2020 - Elsevier
Wetlands have been determined as one of the most valuable ecosystems on Earth and are
currently being lost at alarming rates. Large-scale monitoring of wetlands is of high …
currently being lost at alarming rates. Large-scale monitoring of wetlands is of high …
U-net-based semantic classification for flood extent extraction using SAR imagery and GEE platform: A case study for 2019 central US flooding
Data-driven models for water body extraction have experienced accelerated growth in
recent years, thanks to advances in processing techniques and computational resources, as …
recent years, thanks to advances in processing techniques and computational resources, as …
Sentinel-1 InSAR coherence to detect floodwater in urban areas: Houston and Hurricane Harvey as a test case
M Chini, R Pelich, L Pulvirenti, N Pierdicca… - Remote Sensing, 2019 - mdpi.com
This paper presents an automatic algorithm for map** floods. Its main characteristic is that
it can detect not only inundated bare soils, but also floodwater in urban areas. The synthetic …
it can detect not only inundated bare soils, but also floodwater in urban areas. The synthetic …
Rapid and large-scale map** of flood inundation via integrating spaceborne synthetic aperture radar imagery with unsupervised deep learning
Synthetic aperture radar (SAR) has great potential for timely monitoring of flood information
as it penetrates the clouds during flood events. Moreover, the proliferation of SAR satellites …
as it penetrates the clouds during flood events. Moreover, the proliferation of SAR satellites …
A Near-Real-Time Flood Detection Method Based on Deep Learning and SAR Images
X Wu, Z Zhang, S ** is essential
for disaster prevention, relief, and mitigation. In recent years, the rapid advancement of deep …
for disaster prevention, relief, and mitigation. In recent years, the rapid advancement of deep …
Surface water map** and flood monitoring in the Mekong Delta using sentinel-1 SAR time series and Otsu threshold
The annual flood and the alteration in hydrological regimes are the most vital concerns in
the Vietnamese Mekong Delta (VMD). Although synthetic aperture radar (SAR) Sentinel-1 …
the Vietnamese Mekong Delta (VMD). Although synthetic aperture radar (SAR) Sentinel-1 …
Comparison of multi-resolution optical Landsat-8, Sentinel-2 and radar Sentinel-1 data for automatic lineament extraction: A case study of Alichur area, SE Pamir
A Javhar, X Chen, A Bao, A Jamshed, M Yunus… - Remote Sensing, 2019 - mdpi.com
Lineament map**, which is an important part of any structural geological investigation, is
made more efficient and easier by the availability of optical as well as radar remote sensing …
made more efficient and easier by the availability of optical as well as radar remote sensing …
Flood map** under vegetation using single SAR acquisitions
S Grimaldi, J Xu, Y Li, VRN Pauwels… - Remote sensing of …, 2020 - Elsevier
Abstract Synthetic Aperture Radar (SAR) enables 24-hour, all-weather flood monitoring.
However, accurate detection of inundated areas can be hindered by the extremely …
However, accurate detection of inundated areas can be hindered by the extremely …