Flood damage assessment with Sentinel-1 and Sentinel-2 data after Sardoba dam break with GLCM features and Random Forest method
Accurate mapping and monitoring of flooded areas are immensely required for disaster
management purposes, such as for damage assessment and mitigation. In this study, the …
management purposes, such as for damage assessment and mitigation. In this study, the …
Evaluation of floods and landslides triggered by a meteorological catastrophe (Ordu, Turkey, August 2018) using optical and radar data
This study explores the potential of photogrammetric datasets and remote sensing methods
for the assessment of a meteorological catastrophe that occurred in Ordu, Turkey in August …
for the assessment of a meteorological catastrophe that occurred in Ordu, Turkey in August …
Land Subsidence Detection in the Coastal Plain of Tabasco, Mexico Using Differential SAR Interferometry
Z Pérez-Falls, G Martínez-Flores, O Sarychikhina - Land, 2022 - mdpi.com
Land subsidence (LS) increases flood vulnerability in coastal areas, coastal plains, and river
deltas. The coastal plain of Tabasco (TCP) has been the scene of recurring floods, which …
deltas. The coastal plain of Tabasco (TCP) has been the scene of recurring floods, which …
[PDF][PDF] Flood inundation mapping and depth modelling using machine learning algorithms and microwave data
Flooding is one of the most devastating natural hazards that significantly impact human life
and property. During floods, monitoring and mapping flood extent is crucial in identifying the …
and property. During floods, monitoring and mapping flood extent is crucial in identifying the …
Multi-Head Encoder-Decoder Deep Learning Architecture for Flood Segmentation and Mapping Through Multi-Sensor Data Fusion
M Fawakherji, L Hashemi-Beni - IGARSS 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
Effective disaster management and response require accurate and timely mapping of
floodwater extent. Optical images facilitate easier flood identification, but their limitation with …
floodwater extent. Optical images facilitate easier flood identification, but their limitation with …
Monitoring and evaluation of the passage of high water and floods in 2018 in the Amur region
T Molchanova, N Shelkovkina… - E3S Web of …, 2023 - e3s-conferences.org
The Amur Region has significant water resources, which are characterized by a pronounced
rise in water levels during the spring flood, significant rises and falls in the summer-autumn …
rise in water levels during the spring flood, significant rises and falls in the summer-autumn …
Uncovering the Extent of Flood Damage using Sentinel-1 SAR Imagery: A Case Study of the July 2020 Flood in Assam
P Thirugnanasammandamoorthi, D Ghosh… - … on Computer Vision and …, 2023 - Springer
Abstract In India, Assam is known for being highly susceptible to floods, with the state being
hit by multiple flooding events each year. The floods in Assam in July 2020 were mainly due …
hit by multiple flooding events each year. The floods in Assam in July 2020 were mainly due …
[PDF][PDF] Land Subsidence Detection in the Coastal Plain of Tabasco, Mexico using Differential SAR Interferometry. Land 2022, 11, 1473
Z Pérez-Falls, G Martínez-Flores, O Sarychikhina - 2022 - researchgate.net
Land subsidence (LS) increases flood vulnerability in coastal areas, coastal plains, and river
deltas. The coastal plain of Tabasco (TCP) has been the scene of recurring floods, which …
deltas. The coastal plain of Tabasco (TCP) has been the scene of recurring floods, which …