Articles | Volume 15, issue 11
https://doi.org/10.5194/hess-15-3475-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-15-3475-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
17 Nov 2011
Research article |
| 17 Nov 2011
Use of ENVISAT ASAR Global Monitoring Mode to complement optical data in the mapping of rapid broad-scale flooding in Pakistan
D. O'Grady
School of Earth and Environmental Sciences, James Cook University, 14–88 McGregor Road, Smithfield, QLD 4878, Australia
M. Leblanc
School of Earth and Environmental Sciences, James Cook University, 14–88 McGregor Road, Smithfield, QLD 4878, Australia
D. Gillieson
School of Earth and Environmental Sciences, James Cook University, 14–88 McGregor Road, Smithfield, QLD 4878, Australia
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Cited
41 citations as recorded by crossref.
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- Computerized Seed and Range Selection Method for Flood Extent Extraction in SAR Image Using Iterative Region Growing A. Chakraborty & D. Chakraborty 10.1007/s12524-018-0906-8
- Use of Satellite SAR for Understanding Long-Term Human Occupation Dynamics in the Monsoonal Semi-Arid Plains of North Gujarat, India F. Conesa et al. 10.3390/rs61111420
- Probabilistic Flood Mapping Using Synthetic Aperture Radar Data L. Giustarini et al. 10.1109/TGRS.2016.2592951
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- Sentinel-1&2 Multitemporal Water Surface Detection Accuracies, Evaluated at Regional and Reservoirs Level S. Peña-Luque et al. 10.3390/rs13163279
- A Review on Hazard Assessment Framework About Flood and Drought Risk Management Y. Kumar & V. Srinivasulu 10.1002/gj.5226
- Relationship of local incidence angle with satellite radar backscatter for different surface conditions D. O’Grady et al. 10.1016/j.jag.2013.02.005
- Flood detection from multi-temporal SAR data using harmonic analysis and change detection S. Schlaffer et al. 10.1016/j.jag.2014.12.001
- Flood depth estimation by means of high-resolution SAR images and lidar data F. Cian et al. 10.5194/nhess-18-3063-2018
- Assessment of time-series-derived no-flood references for sar-based Bayesian flood mapping M. Tupas et al. 10.1080/15481603.2024.2427304
- Seasonally inundated area extraction based on long time-series surface water dynamics for improved flood mapping B. Zhao et al. 10.1016/j.isprsjprs.2024.08.002
- Detecting Flooded Areas Using Sentinel-1 SAR Imagery F. Alonso-Sarria et al. 10.3390/rs17081368
- Quantifying water storage change and land subsidence induced by reservoir impoundment using GRACE, Landsat, and GPS data N. Tangdamrongsub et al. 10.1016/j.rse.2019.111385
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- An approach for flood monitoring by the combined use of Landsat 8 optical imagery and COSMO-SkyMed radar imagery X. Tong et al. 10.1016/j.isprsjprs.2017.11.006
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- Flooding extent cartography with Landsat TM imagery and regularized kernel Fisher's discriminant analysis M. Volpi et al. 10.1016/j.cageo.2013.03.009
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- Operational Surface Water Detection and Monitoring Using Radarsat 2 S. Bolanos et al. 10.3390/rs8040285
- Dynamic flood mapping by a normalized probabilistic classification method using satellite radar amplitude time series L. Ta et al. 10.1080/15481603.2024.2380125
- Use of SAR Data for Detecting Floodwater in Urban and Agricultural Areas: The Role of the Interferometric Coherence L. Pulvirenti et al. 10.1109/TGRS.2015.2482001
- Increased flooded area and exposure in the White Volta river basin in Western Africa, identified from multi-source remote sensing data C. Li et al. 10.1038/s41598-022-07720-4
- Flood Extent Mapping in the Caprivi Floodplain Using Sentinel-1 Time Series T. Bangira et al. 10.1109/JSTARS.2021.3083517
- A Change Detection Approach to Flood Mapping in Urban Areas Using TerraSAR-X L. Giustarini et al. 10.1109/TGRS.2012.2210901
- Improving rapid flood impact assessment: An enhanced multi-sensor approach including a new flood mapping method based on Sentinel-2 data F. Cian et al. 10.1016/j.jenvman.2024.122326
- 2024 Brazil Floods: Mapping the extent and impacts in Eastern Rio Grande do Sul using geospatial techniques J. Rathore et al. 10.1016/j.nhres.2025.03.011
- Towards a global seasonal and permanent reference water product from Sentinel-1/2 data for improved flood mapping S. Martinis et al. 10.1016/j.rse.2022.113077
- Sentinel-1-Based Water and Flood Mapping: Benchmarking Convolutional Neural Networks Against an Operational Rule-Based Processing Chain M. Bereczky et al. 10.1109/JSTARS.2022.3152127
- A Prototype System for Flood Monitoring Based on Flood Forecast Combined With COSMO-SkyMed and Sentinel-1 Data G. Boni et al. 10.1109/JSTARS.2016.2514402
- Precipitation threshold for urban flood warning - an analysis using the satellite-based flooded area and radar-gauge composite rainfall data D. Dao et al. 10.1016/j.jher.2020.08.001
40 citations as recorded by crossref.
- Radar mapping of broad-scale inundation: challenges and opportunities in Australia D. O’Grady & M. Leblanc 10.1007/s00477-013-0712-3
- Computerized Seed and Range Selection Method for Flood Extent Extraction in SAR Image Using Iterative Region Growing A. Chakraborty & D. Chakraborty 10.1007/s12524-018-0906-8
- Use of Satellite SAR for Understanding Long-Term Human Occupation Dynamics in the Monsoonal Semi-Arid Plains of North Gujarat, India F. Conesa et al. 10.3390/rs61111420
- Probabilistic Flood Mapping Using Synthetic Aperture Radar Data L. Giustarini et al. 10.1109/TGRS.2016.2592951
- Combining Time-Series Variation Modeling and Fuzzy Spatiotemporal Feature Fusion: A Novel Approach for Unsupervised Flood Mapping Using Dual-Polarized Sentinel-1 SAR Images C. Li et al. 10.1109/TGRS.2023.3324066
- Using SAR imagery to extract flash flood sediment deposition area in the northern Loess Plateau X. Ma et al. 10.1016/j.jhydrol.2024.132045
- Sentinel-1&2 Multitemporal Water Surface Detection Accuracies, Evaluated at Regional and Reservoirs Level S. Peña-Luque et al. 10.3390/rs13163279
- A Review on Hazard Assessment Framework About Flood and Drought Risk Management Y. Kumar & V. Srinivasulu 10.1002/gj.5226
- Relationship of local incidence angle with satellite radar backscatter for different surface conditions D. O’Grady et al. 10.1016/j.jag.2013.02.005
- Flood detection from multi-temporal SAR data using harmonic analysis and change detection S. Schlaffer et al. 10.1016/j.jag.2014.12.001
- Flood depth estimation by means of high-resolution SAR images and lidar data F. Cian et al. 10.5194/nhess-18-3063-2018
- Assessment of time-series-derived no-flood references for sar-based Bayesian flood mapping M. Tupas et al. 10.1080/15481603.2024.2427304
- Seasonally inundated area extraction based on long time-series surface water dynamics for improved flood mapping B. Zhao et al. 10.1016/j.isprsjprs.2024.08.002
- Detecting Flooded Areas Using Sentinel-1 SAR Imagery F. Alonso-Sarria et al. 10.3390/rs17081368
- Quantifying water storage change and land subsidence induced by reservoir impoundment using GRACE, Landsat, and GPS data N. Tangdamrongsub et al. 10.1016/j.rse.2019.111385
- A Decadal Historical Satellite Data and Rainfall Trend Analysis (2001–2016) for Flood Hazard Mapping in Sri Lanka N. Alahacoon et al. 10.3390/rs10030448
- Automated global water mapping based on wide-swath orbital synthetic-aperture radar R. Westerhoff et al. 10.5194/hess-17-651-2013
- An automatic change detection approach for rapid flood mapping in Sentinel-1 SAR data Y. Li et al. 10.1016/j.jag.2018.05.023
- Probabilistic mapping of flood-induced backscatter changes in SAR time series S. Schlaffer et al. 10.1016/j.jag.2016.12.003
- The use of radar satellite data from multiple incidence angles improves surface water mapping D. O'Grady et al. 10.1016/j.rse.2013.10.006
- High-Precision Flood Mapping From Sentinel-1 Dual-Polarization SAR Data Y. Qin et al. 10.1109/TGRS.2025.3557330
- L-Band Passive Microwave Data from SMOS for River Gauging Observations in Tropical Climates Z. Kugler et al. 10.3390/rs11070835
- Flood Hazard Mapping Combining Hydrodynamic Modeling and Multi Annual Remote Sensing data L. Giustarini et al. 10.3390/rs71014200
- An approach for flood monitoring by the combined use of Landsat 8 optical imagery and COSMO-SkyMed radar imagery X. Tong et al. 10.1016/j.isprsjprs.2017.11.006
- Normalized Difference Flood Index for rapid flood mapping: Taking advantage of EO big data F. Cian et al. 10.1016/j.rse.2018.03.006
- The Use of Sentinel-1 Time-Series Data to Improve Flood Monitoring in Arid Areas S. Martinis et al. 10.3390/rs10040583
- Detection of Inland Open Water Surfaces Using Dual Polarization L-Band Radar for the Soil Moisture Active Passive Mission S. Kim et al. 10.1109/TGRS.2016.2517010
- Flooding extent cartography with Landsat TM imagery and regularized kernel Fisher's discriminant analysis M. Volpi et al. 10.1016/j.cageo.2013.03.009
- Monitoring of the Spatio-Temporal Dynamics of the Floods in the Guayas Watershed (Ecuadorian Pacific Coast) Using Global Monitoring ENVISAT ASAR Images and Rainfall Data F. Frappart et al. 10.3390/w9010012
- Operational Surface Water Detection and Monitoring Using Radarsat 2 S. Bolanos et al. 10.3390/rs8040285
- Dynamic flood mapping by a normalized probabilistic classification method using satellite radar amplitude time series L. Ta et al. 10.1080/15481603.2024.2380125
- Use of SAR Data for Detecting Floodwater in Urban and Agricultural Areas: The Role of the Interferometric Coherence L. Pulvirenti et al. 10.1109/TGRS.2015.2482001
- Increased flooded area and exposure in the White Volta river basin in Western Africa, identified from multi-source remote sensing data C. Li et al. 10.1038/s41598-022-07720-4
- Flood Extent Mapping in the Caprivi Floodplain Using Sentinel-1 Time Series T. Bangira et al. 10.1109/JSTARS.2021.3083517
- A Change Detection Approach to Flood Mapping in Urban Areas Using TerraSAR-X L. Giustarini et al. 10.1109/TGRS.2012.2210901
- Improving rapid flood impact assessment: An enhanced multi-sensor approach including a new flood mapping method based on Sentinel-2 data F. Cian et al. 10.1016/j.jenvman.2024.122326
- 2024 Brazil Floods: Mapping the extent and impacts in Eastern Rio Grande do Sul using geospatial techniques J. Rathore et al. 10.1016/j.nhres.2025.03.011
- Towards a global seasonal and permanent reference water product from Sentinel-1/2 data for improved flood mapping S. Martinis et al. 10.1016/j.rse.2022.113077
- Sentinel-1-Based Water and Flood Mapping: Benchmarking Convolutional Neural Networks Against an Operational Rule-Based Processing Chain M. Bereczky et al. 10.1109/JSTARS.2022.3152127
- A Prototype System for Flood Monitoring Based on Flood Forecast Combined With COSMO-SkyMed and Sentinel-1 Data G. Boni et al. 10.1109/JSTARS.2016.2514402
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