[HTML][HTML] CCD-Conv1D: A deep learning based coherent change detection technique to monitor and forecast floods using Sentinel-1 images
M Siddique, T Ahmed - Remote Sensing Applications: Society and …, 2025 - Elsevier
Floods are among the most common natural disasters affecting human lives and public
amenities. In the North-Indian region, the situation is severe as floods continue to create …
amenities. In the North-Indian region, the situation is severe as floods continue to create …
The Nova Kakhovka dam collapse flooding as seen from Sentinel-1 SAR satellite images
R Monti, L Rossi, M Reguzzoni - Advances in Geodesy and …, 2024 - journals.pan.pl
The destruction of the Nova Kakhovka dam in Ukraine on June 6th, 2023, produced an
enormous flooding in the entire Kherson region. Thousands of people and agricultural fields …
enormous flooding in the entire Kherson region. Thousands of people and agricultural fields …
Object-based mapping and classification features for tropical highlands using Sentinel-1, Sentinel-2, and GEDI canopy height data-A case study of the Muringato …
M Goebel, K Thiong'o, A Rienow - Erdkunde, 2023 - JSTOR
Tropical highlands remain a challenging target for remote sensing due to their high
heterogeneity of the landscape and frequent cloud cover, causing a shortage of high-quality …
heterogeneity of the landscape and frequent cloud cover, causing a shortage of high-quality …
Monitoring and mathematical model analysis of dynamic changes in land resources based on SAR sensor image
Y Li - Journal of Sensors, 2021 - Wiley Online Library
The monitoring and analysis of dynamic changes in land resources can detect the changes
of land aimed at a single‐band or multiband remote sensing image of multiple phases in a …
of land aimed at a single‐band or multiband remote sensing image of multiple phases in a …
[PDF][PDF] Rapid Flood Mapping Using Statistical Sampling Threshold Based on Sentinel-1 Imagery in the Barito Watershed, South Kalimantan Province, Indonesia.
Flood disasters occur frequently in Indonesia and can cause property damage and even
death. This research aimed to provide rapid flood mapping based on remote sensing data …
death. This research aimed to provide rapid flood mapping based on remote sensing data …
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 …
Evaluation of the Extent of Floods in 2022 in Different Land Cover and Land Use Classes in Sindh Province, Pakistan Using Sentinel-1 and Sentinel-2 Imageries
A Shrestha - 2024 - search.proquest.com
Floods are one of the most frequent and most devastating natural disasters, which cause
widespread destruction and pose significant risks to human life, infrastructure, and the …
widespread destruction and pose significant risks to human life, infrastructure, and the …
Observing Waterlogging and its impact on Agriculture in Hungary using Radar and Optical Images
A Mahmud - 2022 - essay.utwente.nl
The study aims to detect waterlogging dynamics in agricultural fields and quantify its effect
on crop development at different growth stages using synthetic-aperture radar (SAR) and …
on crop development at different growth stages using synthetic-aperture radar (SAR) and …
[PDF][PDF] Remote Sensing Applications: Society and Environment
M Siddique, T Ahmed - researchgate.net
Floods are among the most common natural disasters affecting human lives and public
amenities. In the North-Indian region, the situation is severe as floods continue to create …
amenities. In the North-Indian region, the situation is severe as floods continue to create …