Articles | Volume 18, issue 5
https://doi.org/10.5194/nhess-18-1493-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-18-1493-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Low cost, multiscale and multi-sensor application for flooded area mapping
Daniele Giordan
National Research Council of Italy, Research Institute for Geo-Hydrological Protection (CNR-IRPI), Strada delle Cacce 73, 10135 Turin, Italy
National Research Council of Italy, Research Institute for Geo-Hydrological Protection (CNR-IRPI), Strada delle Cacce 73, 10135 Turin, Italy
Alfredo Villa
ALTEC S.p.A., 10146 Turin, Italy
Francesco Zucca
Department of Earth and Environmental Science, University of Pavia, Via Ferrata 1, 27100 Pavia, Italy
Fabiana Calò
National Research Council of Italy, Institute for the Electromagnetic Sensing of the Environment (CNR-IREA), Via Diocleziano 328, 80124 Naples, Italy
Antonio Pepe
National Research Council of Italy, Institute for the Electromagnetic Sensing of the Environment (CNR-IREA), Via Diocleziano 328, 80124 Naples, Italy
Furio Dutto
Civil Protection Service of Turin Metropolitan area, 10095 Grugliasco, Italy
Paolo Pari
Digisky S.r.l., 10146 Turin, Italy
Marco Baldo
National Research Council of Italy, Research Institute for Geo-Hydrological Protection (CNR-IRPI), Strada delle Cacce 73, 10135 Turin, Italy
Paolo Allasia
National Research Council of Italy, Research Institute for Geo-Hydrological Protection (CNR-IRPI), Strada delle Cacce 73, 10135 Turin, Italy
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Cited
36 citations as recorded by crossref.
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- Temporary flood marks proposal: What we learned after losing the baroque artifact from Cracow, Poland R. Szczepanek et al. 10.1016/j.ijdrr.2022.102942
- Sensor web - Enabled flood event process detection and instant service W. Du et al. 10.1016/j.envsoft.2019.03.004
- Potential and Limitations of Open Satellite Data for Flood Mapping D. Notti et al. 10.3390/rs10111673
- Rapid assessment of riverine flood inundation in Chenab floodplain using remote sensing techniques A. Sajjad et al. 10.1186/s40677-023-00236-7
- Exposure of real estate properties to the 2018 Hurricane Florence flooding M. Tedesco et al. 10.5194/nhess-20-907-2020
- Evaluating ICESat-2 Seafloor Photons by Underwater Light-Beam Propagation and Noise Modeling H. Xie et al. 10.1109/TGRS.2024.3363033
- Towards an automated approach to map flooded areas from Sentinel-2 MSI data and soft integration of water spectral features A. Goffi et al. 10.1016/j.jag.2019.101951
- Detecting Urban Floods with Small and Large Scale Analysis of ALOS-2/PALSAR-2 Data H. Gokon et al. 10.3390/rs15020532
- Flood Susceptibility Mapping through the GIS-AHP Technique Using the Cloud K. Swain et al. 10.3390/ijgi9120720
- Reconstruction of erosivity density in northwest Italy since 1701 N. Diodato et al. 10.1080/02626667.2021.1918696
- Citizen scientists’ engagement in flood risk-related data collection: a case study in Bui River Basin, Vietnam H. Tran et al. 10.1007/s10661-024-12419-2
- UAV Photogrammetry and Ground Surveys as a Mapping Tool for Quickly Monitoring Shoreline and Beach Changes A. Zanutta et al. 10.3390/jmse8010052
- Operational Monitoring and Damage Assessment of Riverine Flood-2014 in the Lower Chenab Plain, Punjab, Pakistan, Using Remote Sensing and GIS Techniques A. Sajjad et al. 10.3390/rs12040714
- Preface: The use of remotely piloted aircraft systems (RPAS) in monitoring applications and management of natural hazards D. Giordan et al. 10.5194/nhess-18-3085-2018
- Riverine flood mapping and impact assessment using remote sensing technique: a case study of Chenab flood-2014 in Multan district, Punjab, Pakistan A. Sajjad et al. 10.1007/s11069-021-05033-9
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- Prediction of penetration based on infrared thermal and visual images during pulsed GTAW process R. Jiang et al. 10.1016/j.jmapro.2021.07.046
- Assessing the 2022 Flood Impacts in Queensland Combining Daytime and Nighttime Optical and Imaging Radar Data N. Levin & S. Phinn 10.3390/rs14195009
- Flood depth estimation by means of high-resolution SAR images and lidar data F. Cian et al. 10.5194/nhess-18-3063-2018
- Flash Flood Susceptibility Assessment and Zonation by Integrating Analytic Hierarchy Process and Frequency Ratio Model with Diverse Spatial Data A. Tariq et al. 10.3390/w14193069
- Integrated Flood Hazard Vulnerability Modeling of Neluwa (Sri Lanka) Using Analytical Hierarchy Process and Geospatial Techniques W. Wijesinghe et al. 10.3390/w15061212
- Characterization of the 2014 Indus River Flood Using Hydraulic Simulations and Satellite Images A. Tariq et al. 10.3390/rs13112053
- Strategies for Optimized UAV Surveillance in Various Tasks and Scenarios: A Review Z. Fang & A. Savkin 10.3390/drones8050193
- The Contribution of Multispectral Satellite Image to Shallow Water Bathymetry Mapping on the Coast of Misano Adriatico, Italy A. Muzirafuti et al. 10.3390/jmse8020126
- End-user perspective of low-cost sensors for urban stormwater monitoring: a review Q. Zhu et al. 10.2166/wst.2023.142
- A multidisciplinary investigation of deep-seated landslide reactivation triggered by an extreme rainfall event: a case study of the Monesi di Mendatica landslide, Ligurian Alps D. Notti et al. 10.1007/s10346-021-01651-3
- Satellite-Derived Bathymetry for Selected Shallow Maltese Coastal Zones G. Darmanin et al. 10.3390/app13095238
- Effectiveness of Sentinel-1 and Sentinel-2 for flood detection assessment in Europe A. Tarpanelli et al. 10.5194/nhess-22-2473-2022
- Rapid Mapping for Simple Flood Mitigation Using Commercial Drone at Way Galih Village, Lampung, Indonesia A. Rohman & D. Prasetya 10.23917/forgeo.v33i1.8421
- Debris Flow and Rockslide Analysis with Advanced Photogrammetry Techniques Based on High-Resolution RPAS Data. Ponte Formazza Case Study (NW Alps) D. Notti et al. 10.3390/rs13091797
- Flood Hazard and Risk Mapping by Applying an Explainable Machine Learning Framework Using Satellite Imagery and GIS Data G. Antzoulatos et al. 10.3390/su14063251
- Structure from Motion Multisource Application for Landslide Characterization and Monitoring: The Champlas du Col Case Study, Sestriere, North-Western Italy M. Cignetti et al. 10.3390/s19102364
- Low‐Cost Solutions for Assessment of Flash Flood Impacts Using Sentinel‐1/2 Data Fusion and Hydrologic/Hydraulic Modeling: Wadi El‐Natrun Region, Egypt M. Sadek et al. 10.1155/2020/1039309
- Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management D. Giordan et al. 10.5194/nhess-18-1079-2018
35 citations as recorded by crossref.
- Argan Tree (Argania spinosa (L.) Skeels) Mapping Based on Multisensor Fusion of Satellite Imagery in Essaouira Province, Morocco A. Moumni et al. 10.1155/2021/6679914
- Flood susceptibility mapping contributes to disaster risk reduction: A case study in Sindh, Pakistan S. Shah & S. Ai 10.1016/j.ijdrr.2024.104503
- Temporary flood marks proposal: What we learned after losing the baroque artifact from Cracow, Poland R. Szczepanek et al. 10.1016/j.ijdrr.2022.102942
- Sensor web - Enabled flood event process detection and instant service W. Du et al. 10.1016/j.envsoft.2019.03.004
- Potential and Limitations of Open Satellite Data for Flood Mapping D. Notti et al. 10.3390/rs10111673
- Rapid assessment of riverine flood inundation in Chenab floodplain using remote sensing techniques A. Sajjad et al. 10.1186/s40677-023-00236-7
- Exposure of real estate properties to the 2018 Hurricane Florence flooding M. Tedesco et al. 10.5194/nhess-20-907-2020
- Evaluating ICESat-2 Seafloor Photons by Underwater Light-Beam Propagation and Noise Modeling H. Xie et al. 10.1109/TGRS.2024.3363033
- Towards an automated approach to map flooded areas from Sentinel-2 MSI data and soft integration of water spectral features A. Goffi et al. 10.1016/j.jag.2019.101951
- Detecting Urban Floods with Small and Large Scale Analysis of ALOS-2/PALSAR-2 Data H. Gokon et al. 10.3390/rs15020532
- Flood Susceptibility Mapping through the GIS-AHP Technique Using the Cloud K. Swain et al. 10.3390/ijgi9120720
- Reconstruction of erosivity density in northwest Italy since 1701 N. Diodato et al. 10.1080/02626667.2021.1918696
- Citizen scientists’ engagement in flood risk-related data collection: a case study in Bui River Basin, Vietnam H. Tran et al. 10.1007/s10661-024-12419-2
- UAV Photogrammetry and Ground Surveys as a Mapping Tool for Quickly Monitoring Shoreline and Beach Changes A. Zanutta et al. 10.3390/jmse8010052
- Operational Monitoring and Damage Assessment of Riverine Flood-2014 in the Lower Chenab Plain, Punjab, Pakistan, Using Remote Sensing and GIS Techniques A. Sajjad et al. 10.3390/rs12040714
- Preface: The use of remotely piloted aircraft systems (RPAS) in monitoring applications and management of natural hazards D. Giordan et al. 10.5194/nhess-18-3085-2018
- Riverine flood mapping and impact assessment using remote sensing technique: a case study of Chenab flood-2014 in Multan district, Punjab, Pakistan A. Sajjad et al. 10.1007/s11069-021-05033-9
- Local-scale post-event assessments with GPS and UAV-based quick-response surveys: a pilot case from the Emilia–Romagna (Italy) coast E. Duo et al. 10.5194/nhess-18-2969-2018
- Prediction of penetration based on infrared thermal and visual images during pulsed GTAW process R. Jiang et al. 10.1016/j.jmapro.2021.07.046
- Assessing the 2022 Flood Impacts in Queensland Combining Daytime and Nighttime Optical and Imaging Radar Data N. Levin & S. Phinn 10.3390/rs14195009
- Flood depth estimation by means of high-resolution SAR images and lidar data F. Cian et al. 10.5194/nhess-18-3063-2018
- Flash Flood Susceptibility Assessment and Zonation by Integrating Analytic Hierarchy Process and Frequency Ratio Model with Diverse Spatial Data A. Tariq et al. 10.3390/w14193069
- Integrated Flood Hazard Vulnerability Modeling of Neluwa (Sri Lanka) Using Analytical Hierarchy Process and Geospatial Techniques W. Wijesinghe et al. 10.3390/w15061212
- Characterization of the 2014 Indus River Flood Using Hydraulic Simulations and Satellite Images A. Tariq et al. 10.3390/rs13112053
- Strategies for Optimized UAV Surveillance in Various Tasks and Scenarios: A Review Z. Fang & A. Savkin 10.3390/drones8050193
- The Contribution of Multispectral Satellite Image to Shallow Water Bathymetry Mapping on the Coast of Misano Adriatico, Italy A. Muzirafuti et al. 10.3390/jmse8020126
- End-user perspective of low-cost sensors for urban stormwater monitoring: a review Q. Zhu et al. 10.2166/wst.2023.142
- A multidisciplinary investigation of deep-seated landslide reactivation triggered by an extreme rainfall event: a case study of the Monesi di Mendatica landslide, Ligurian Alps D. Notti et al. 10.1007/s10346-021-01651-3
- Satellite-Derived Bathymetry for Selected Shallow Maltese Coastal Zones G. Darmanin et al. 10.3390/app13095238
- Effectiveness of Sentinel-1 and Sentinel-2 for flood detection assessment in Europe A. Tarpanelli et al. 10.5194/nhess-22-2473-2022
- Rapid Mapping for Simple Flood Mitigation Using Commercial Drone at Way Galih Village, Lampung, Indonesia A. Rohman & D. Prasetya 10.23917/forgeo.v33i1.8421
- Debris Flow and Rockslide Analysis with Advanced Photogrammetry Techniques Based on High-Resolution RPAS Data. Ponte Formazza Case Study (NW Alps) D. Notti et al. 10.3390/rs13091797
- Flood Hazard and Risk Mapping by Applying an Explainable Machine Learning Framework Using Satellite Imagery and GIS Data G. Antzoulatos et al. 10.3390/su14063251
- Structure from Motion Multisource Application for Landslide Characterization and Monitoring: The Champlas du Col Case Study, Sestriere, North-Western Italy M. Cignetti et al. 10.3390/s19102364
- Low‐Cost Solutions for Assessment of Flash Flood Impacts Using Sentinel‐1/2 Data Fusion and Hydrologic/Hydraulic Modeling: Wadi El‐Natrun Region, Egypt M. Sadek et al. 10.1155/2020/1039309
Discussed (final revised paper)
Latest update: 03 Nov 2024
Short summary
We present a multiscale and multi-sensor methodology for flood mapping using free or low-cost data. We first mapped flooded areas at basin scale using free satellite data using both SAR and multispectral sensors. At local scale we refine mapping using very high-resolution images from Remotely Piloted Aerial System and terrestrial car camera, then we used these data to create 3-D model with structure from motion (SfM). All these data allowed creating accurate flooded area and water depth maps.
We present a multiscale and multi-sensor methodology for flood mapping using free or low-cost...
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Final-revised paper
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