22.3.2.2.1 Flood Analysis, Damage Assessment

Chapter Contents (Back)
Flood Analysis. Damage Assessment. See also Land Cover Analysis, Water Detection, Water Areas. See also Hydrological Analysis, Hydrological Modeling.

Tralli, D.M.[David M.], Blom, R.G.[Ronald G.], Zlotnicki, V.[Victor], Donnellan, A.[Andrea], Evans, D.L.[Diane L.],
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Elsevier DOI 0509
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Gianinetto, M., Villa, P., Lechi, G.,
Postflood Damage Evaluation Using Landsat TM and ETM+ Data Integrated With DEM,
GeoRS(44), No. 1, January 2006, pp. 236-243.
IEEE DOI 0601
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Asante, K.O., Macuacua, R.D., Artan, G.A., Lietzow, R.W., Verdin, J.P.,
Developing a Flood Monitoring System From Remotely Sensed Data for the Limpopo Basin,
GeoRS(45), No. 6, June 2007, pp. 1709-1714.
IEEE DOI 0706
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Horritt, M.S., Mason, D.C., Cobby, D.M., Davenport, I.J., Bates, P.D.,
Waterline mapping in flooded vegetation from airborne SAR imagery,
RSE(85), No. 3, 30 May 2003, pp. 271-281.
Elsevier DOI 0309
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Mason, D.C., Horritt, M.S., Dall'Amico, J.T., Scott, T.R., Bates, P.D.,
Improving River Flood Extent Delineation From Synthetic Aperture Radar Using Airborne Laser Altimetry,
GeoRS(45), No. 12, December 2007, pp. 3932-3943.
IEEE DOI 0711
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Schumann, G., di Baldassarre, G., Bates, P.D.,
The Utility of Spaceborne Radar to Render Flood Inundation Maps Based on Multialgorithm Ensembles,
GeoRS(47), No. 8, August 2009, pp. 2801-2807.
IEEE DOI 0907
BibRef

Luino, F., Cirio, C.G., Biddoccu, M., Agangi, A., Giulietto, W., Godone, F., Nigrelli, G.,
Application of a model to the evaluation of flood damage,
GeoInfo(13), No. 3, September 2009, pp. xx-yy.
Springer DOI 0905
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Cruz, V.H.[Virginia Herrera], Müller, M.[Marc], Weise, C.[Christian],
Flood Extent Mapping Based on TerraSAR-X Data,
PFG(2010), No. 6, 2010, pp. 475-488.
WWW Link. 1211
BibRef

Mason, D.C., Davenport, I.J., Neal, J.C., Schumann, G.J.P., Bates, P.D.,
Near Real-Time Flood Detection in Urban and Rural Areas Using High-Resolution Synthetic Aperture Radar Images,
GeoRS(50), No. 8, August 2012, pp. 3041-3052.
IEEE DOI 1208
BibRef

Serpico, S.B., Dellepiane, S., Boni, G., Moser, G., Angiati, E., Rudari, R.,
Information Extraction From Remote Sensing Images for Flood Monitoring and Damage Evaluation,
PIEEE(100), No. 10, October 2012, pp. 2946-2970.
IEEE DOI 1210
BibRef

Allen, T.,
Estimating Coastal Lagoon Tidal Flooding and Repletion with Multidate ASTER Thermal Imagery,
RS(4), No. 10, October 2012, pp. 3110-3126.
DOI Link 1210
BibRef

Khatami, R., Mountrakis, G.,
Implications of Classification of Methodological Decisions in Flooding Analysis from Hurricane Katrina,
RS(4), No. 12, December 2012, pp. 3877-3891.
DOI Link 1211
BibRef

Faruolo, M., Coviello, I., Lacava, T., Pergola, N., Tramutoli, V.,
A Multi-Sensor Exportable Approach for Automatic Flooded Areas Detection and Monitoring by a Composite Satellite Constellation,
GeoRS(51), No. 4, April 2013, pp. 2136-2149.
IEEE DOI 1304
BibRef

Giustarini, L., Hostache, R., Matgen, P., Schumann, G.J.P., Bates, P.D., Mason, D.C.,
A Change Detection Approach to Flood Mapping in Urban Areas Using TerraSAR-X,
GeoRS(51), No. 4, April 2013, pp. 2417-2430.
IEEE DOI 1304
BibRef

Kuenzer, C., Guo, H., Huth, J., Leinenkugel, P., Li, X., Dech, S.,
Flood Mapping and Flood Dynamics of the Mekong Delta: ENVISAT-ASAR-WSM Based Time Series Analyses,
RS(5), No. 2, February 2013, pp. 687-715.
DOI Link 1303
BibRef

Millán, V.E.G.[Virginia Elena García], Teuwsen, S.[Sebastian], Pakzad, K.[Kian],
GMES4Mining: Description of a Flooding Process in Mining Areas using spectral Indices on multi-temporal Landsat Imagery,
PFG(2013), No. 5, 2013, pp. 427-436.
DOI Link 1310
BibRef

Martinis, S.[Sandro], Twele, A.[André], Strobl, C.[Christian], Kersten, J.[Jens], Stein, E.[Enrico],
A Multi-Scale Flood Monitoring System Based on Fully Automatic MODIS and TerraSAR-X Processing Chains,
RS(5), No. 11, 2013, pp. 5598-5619.
DOI Link 1312
BibRef

Diakakis, M.[Michalis], Pallikarakis, A.[Aggelos], Katsetsiadou, K.[Katerina],
Using a Spatio-Temporal GIS Database to Monitor the Spatial Evolution of Urban Flooding Phenomena. The Case of Athens Metropolitan Area in Greece,
IJGI(3), No. 1, 2014, pp. 96-109.
DOI Link 1402
BibRef

Kuenzer, C.[Claudia], Guo, H.[Huadong], Schlegel, I.[Inga], Tuan, V.Q.[Vo Quoc], Li, X.[Xinwu], Dech, S.[Stefan],
Varying Scale and Capability of Envisat ASAR-WSM, TerraSAR-X Scansar and TerraSAR-X Stripmap Data to Assess Urban Flood Situations: A Case Study of the Mekong Delta in Can Tho Province,
RS(5), No. 10, 2013, pp. 5122-5142.
DOI Link 1311
BibRef

Khan, S.I.[Sadiq I.], Hong, Y.[Yang], Gourley, J.J.[Jonathan J.], Khattak, M.U.[Muhammad Umar], de Groeve, T.[Tom],
Multi-Sensor Imaging and Space-Ground Cross-Validation for 2010 Flood along Indus River, Pakistan,
RS(6), No. 3, 2014, pp. 2393-2407.
DOI Link 1404
BibRef

Gourmelon, F.[Françoise], Le Guyader, D.[Damien], Fontenelle, G.[Guy],
A Dynamic GIS as an Efficient Tool for Integrated Coastal Zone Management,
IJGI(3), No. 2, 2014, pp. 391-407.
DOI Link 1405
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Lathrop, R.[Richard], Auermuller, L.[Lisa], Trimble, J.[James], Bognar, J.[John],
The Application of WebGIS Tools for Visualizing Coastal Flooding Vulnerability and Planning for Resiliency: The New Jersey Experience,
IJGI(3), No. 2, 2014, pp. 408-429.
DOI Link 1405
BibRef

Ticehurst, C.[Catherine], Guerschman, J.P.[Juan Pablo], Chen, Y.[Yun],
The Strengths and Limitations in Using the Daily MODIS Open Water Likelihood Algorithm for Identifying Flood Events,
RS(6), No. 12, 2014, pp. 11791-11809.
DOI Link 1412
BibRef

Iervolino, P., Guida, R., Iodice, A., Riccio, D.,
Flooding Water Depth Estimation With High-Resolution SAR,
GeoRS(53), No. 5, May 2015, pp. 2295-2307.
IEEE DOI 1502
floods BibRef

Li, L.[Linyi], Chen, Y.[Yun], Yu, X.[Xin], Liu, R.[Rui], Huang, C.[Chang],
Sub-pixel flood inundation mapping from multispectral remotely sensed images based on discrete particle swarm optimization,
PandRS(101), No. 1, 2015, pp. 10-21.
Elsevier DOI 1503
Flood inundation BibRef

Ireland, G.[Gareth], Volpi, M.[Michele], Petropoulos, G.P.[George P.],
Examining the Capability of Supervised Machine Learning Classifiers in Extracting Flooded Areas from Landsat TM Imagery: A Case Study from a Mediterranean Flood,
RS(7), No. 3, 2015, pp. 3372-3399.
DOI Link 1504
BibRef

Martinis, S.[Sandro], Kersten, J.[Jens], Twele, A.[André],
A fully automated TerraSAR-X based flood service,
PandRS(104), No. 1, 2015, pp. 203-212.
Elsevier DOI 1505
SAR BibRef

Zhang, P.[Peng], Lu, J.Z.[Jian-Zhong], Feng, L.[Lian], Chen, X.L.[Xiao-Ling], Zhang, L.[Li], Xiao, X.W.[Xiong-Wu], Liu, H.G.[Hong-Gao],
Hydrodynamic and Inundation Modeling of China's Largest Freshwater Lake Aided by Remote Sensing Data,
RS(7), No. 4, 2015, pp. 4858-4879.
DOI Link 1505
BibRef

Dao, P.D.[Phuong D.], Liou, Y.A.[Yuei-An],
Object-Based Flood Mapping and Affected Rice Field Estimation with Landsat 8 OLI and MODIS Data,
RS(7), No. 5, 2015, pp. 5077-5097.
DOI Link 1506
BibRef

Chapman, B.[Bruce], McDonald, K.[Kyle], Shimada, M.[Masanobu], Rosenqvist, A.[Ake], Schroeder, R.[Ronny], Hess, L.[Laura],
Mapping Regional Inundation with Spaceborne L-Band SAR,
RS(7), No. 5, 2015, pp. 5440-5470.
DOI Link 1506
BibRef

Smith, A.[Alan], Newing, A.[Andy], Quinn, N.[Niall], Martin, D.[David], Cockings, S.[Samantha], Neal, J.[Jeffrey],
Assessing the Impact of Seasonal Population Fluctuation on Regional Flood Risk Management,
IJGI(4), No. 3, 2015, pp. 1118.
DOI Link 1507
BibRef

Chen, N.C.[Neng-Cheng], Du, W.Y.[Wen-Ying], Song, F.[Fan], Chen, Z.Q.[Ze-Qiang],
FLCNDEMF: An Event Metamodel for Flood Process Information Management under the Sensor Web Environment,
RS(7), No. 6, 2015, pp. 7231.
DOI Link 1507
BibRef

Xiao, C.J.[Chang-Jiang], Chen, N.C.[Neng-Cheng], Wang, X.L.[Xiao-Lei], Chen, Z.Q.[Ze-Qiang],
A Semantic Registry Method Using Sensor Metadata Ontology to Manage Heterogeneous Sensor Information in the Geospatial Sensor Web,
IJGI(5), No. 5, 2016, pp. 63.
DOI Link 1606
BibRef

Wang, C.[Chao], Chen, N.C.[Neng-Cheng], Wang, W.[Wei], Chen, Z.Q.[Ze-Qiang],
A Hydrological Sensor Web Ontology Based on the SSN Ontology: A Case Study for a Flood,
IJGI(7), No. 1, 2017, pp. xx-yy.
DOI Link 1801
BibRef

Hu, Y.X.[Yan-Xia], Huang, J.L.[Jin-Liang], Du, Y.[Yun], Han, P.P.[Peng-Peng], Huang, W.[Wei],
Monitoring Spatial and Temporal Dynamics of Flood Regimes and Their Relation to Wetland Landscape Patterns in Dongting Lake from MODIS Time-Series Imagery,
RS(7), No. 6, 2015, pp. 7494.
DOI Link 1507
BibRef

Martinis, S.[Sandro], Rieke, C.[Christoph],
Backscatter Analysis Using Multi-Temporal and Multi-Frequency SAR Data in the Context of Flood Mapping at River Saale, Germany,
RS(7), No. 6, 2015, pp. 7732.
DOI Link 1507
BibRef

Jung, H.C.[Hahn Chul], Jasinski, M.F.[Michael F.],
Sensitivity of a Floodplain Hydrodynamic Model to Satellite-Based DEM Scale and Accuracy: Case Study: The Atchafalaya Basin,
RS(7), No. 6, 2015, pp. 7938.
DOI Link 1507
BibRef

Kuenzer, C.[Claudia], Klein, I.[Igor], Ullmann, T.[Tobias], Georgiou, E.F.[Efi Foufoula], Baumhauer, R.[Roland], Dech, S.[Stefan],
Remote Sensing of River Delta Inundation: Exploiting the Potential of Coarse Spatial Resolution, Temporally-Dense MODIS Time Series,
RS(7), No. 7, 2015, pp. 8516.
DOI Link 1506
BibRef

Chignell, S.M.[Stephen M.], Anderson, R.S.[Ryan S.], Evangelista, P.H.[Paul H.], Laituri, M.J.[Melinda J.], Merritt, D.M.[David M.],
Multi-Temporal Independent Component Analysis and Landsat 8 for Delineating Maximum Extent of the 2013 Colorado Front Range Flood,
RS(7), No. 8, 2015, pp. 9822.
DOI Link 1509
BibRef

Chen, N.C.[Neng-Cheng], Zhou, L.J.[Lian-Jie], Chen, Z.Q.[Ze-Qiang],
A Sharable and Efficient Metadata Model for Heterogeneous Earth Observation Data Retrieval in Multi-Scale Flood Mapping,
RS(7), No. 8, 2015, pp. 9610.
DOI Link 1509
BibRef

Byun, Y.G.[Young-Gi], Han, Y.K.[You-Kyung], Chae, T.[Taebyeong],
Image Fusion-Based Change Detection for Flood Extent Extraction Using Bi-Temporal Very High-Resolution Satellite Images,
RS(7), No. 8, 2015, pp. 10347.
DOI Link 1509
BibRef

Feng, Q.L.[Quan-Long], Gong, J.H.[Jian-Hua], Liu, J.T.[Jian-Tao], Li, Y.[Yi],
Flood Mapping Based on Multiple Endmember Spectral Mixture Analysis and Random Forest Classifier: The Case of Yuyao, China,
RS(7), No. 9, 2015, pp. 12539.
DOI Link 1511
See also UAV Remote Sensing for Urban Vegetation Mapping Using Random Forest and Texture Analysis. BibRef

Giustarini, L.[Laura], Chini, M.[Marco], Hostache, R.[Renaud], Pappenberger, F.[Florian], Matgen, P.[Patrick],
Flood Hazard Mapping Combining Hydrodynamic Modeling and Multi Annual Remote Sensing data,
RS(7), No. 10, 2015, pp. 14200.
DOI Link 1511
BibRef

Gomes, T.L.[Thiago L.], Magalhães, S.V.G.[Salles V. G.], Andrade, M.V.A.[Marcus V. A.], Franklin, W.R.[W. Randolph], Pena, G.C.[Guilherme C.],
Efficiently computing the drainage network on massive terrains using external memory flooding process,
GeoInfo(19), No. 4, October 2015, pp. 671-692.
Springer DOI 1511
BibRef

Chung, H.W.[Hsiao-Wei], Liu, C.C.[Cheng-Chien], Cheng, I.F.[I-Fan], Lee, Y.R.[Yun-Ruei], Shieh, M.C.[Ming-Chang],
Rapid Response to a Typhoon-Induced Flood with an SAR-Derived Map of Inundated Areas: Case Study and Validation,
RS(7), No. 9, 2015, pp. 11954.
DOI Link 1511
BibRef

Jongman, B.[Brenden], Wagemaker, J.[Jurjen], Romero, B.R.[Beatriz Revilla], de Perez, E.C.[Erin Coughlan],
Early Flood Detection for Rapid Humanitarian Response: Harnessing Near Real-Time Satellite and Twitter Signals,
IJGI(4), No. 4, 2015, pp. 2246.
DOI Link 1511
BibRef

Song, G.H.[Guo-Hua], Zhang, F.[Fan], Liu, J.[Jun], Yu, L.[Liu], Gao, Y.[Yong], Yu, L.[Lei],
Floating car data-based method for detecting flooding incident under grade separation bridges in Beijing,
IET-ITS(9), No. 8, 2015, pp. 817-823.
DOI Link 1511
bridges (structures) BibRef

Reager, J.T.[John T.], Thomas, A.C.[Alys C.], Sproles, E.A.[Eric A.], Rodell, M.[Matthew], Beaudoing, H.K.[Hiroko K.], Li, B.L.[Bai-Ling], Famiglietti, J.S.[James S.],
Assimilation of GRACE Terrestrial Water Storage Observations into a Land Surface Model for the Assessment of Regional Flood Potential,
RS(7), No. 11, 2015, pp. 14663.
DOI Link 1512
BibRef

Malinowski, R.[Radoslaw], Groom, G.[Geoff], Schwanghart, W.[Wolfgang], Heckrath, G.[Goswin],
Detection and Delineation of Localized Flooding from WorldView-2 Multispectral Data,
RS(7), No. 11, 2015, pp. 14853.
DOI Link 1512
BibRef

Revilla-Romero, B.[Beatriz], Hirpa, F.A.[Feyera A.], del Pozo, J.T.[Jutta Thielen], Salamon, P.[Peter], Brakenridge, R.[Robert], Pappenberger, F.[Florian], de Groeve, T.[Tom],
On the Use of Global Flood Forecasts and Satellite-Derived Inundation Maps for Flood Monitoring in Data-Sparse Regions,
RS(7), No. 11, 2015, pp. 15702.
DOI Link 1512
BibRef

Wu, G.P.[Gui-Ping], Liu, Y.[Yuanbo],
Downscaling Surface Water Inundation from Coarse Data to Fine-Scale Resolution: Methodology and Accuracy Assessment,
RS(7), No. 12, 2015, pp. 15813.
DOI Link 1601
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Albano, R.[Raffaele], Mancusi, L.[Leonardo], Sole, A.[Aurelia], Adamowski, J.[Jan],
Collaborative Strategies for Sustainable EU Flood Risk Management: FOSS and Geospatial Tools: Challenges and Opportunities for Operative Risk Analysis,
IJGI(4), No. 4, 2015, pp. 2704.
DOI Link 1601
BibRef

Pulvirenti, L., Chini, M., Pierdicca, N., Boni, G.,
Use of SAR Data for Detecting Floodwater in Urban and Agricultural Areas: The Role of the Interferometric Coherence,
GeoRS(54), No. 3, March 2016, pp. 1532-1544.
IEEE DOI 1603
Backscatter BibRef

Boergens, E.[Eva], Dettmering, D.[Denise], Schwatke, C.[Christian], Seitz, F.[Florian],
Treating the Hooking Effect in Satellite Altimetry Data: A Case Study along the Mekong River and Its Tributaries,
RS(8), No. 2, 2016, pp. 91.
DOI Link 1603
Water level time series estimation using altimetry. BibRef

d'Addabbo, A., Refice, A., Pasquariello, G., Lovergine, F.P., Capolongo, D., Manfreda, S.,
A Bayesian Network for Flood Detection Combining SAR Imagery and Ancillary Data,
GeoRS(54), No. 6, June 2016, pp. 3612-3625.
IEEE DOI 1606
belief networks BibRef

Pradhan, B., Tehrany, M.S., Jebur, M.N.,
A New Semiautomated Detection Mapping of Flood Extent From TerraSAR-X Satellite Image Using Rule-Based Classification and Taguchi Optimization Techniques,
GeoRS(54), No. 7, July 2016, pp. 4331-4342.
IEEE DOI 1606
Earth BibRef

Yunus, A.P.[Ali P.], Avtar, R.[Ram], Kraines, S.[Steven], Yamamuro, M.[Masumi], Lindberg, F.[Fredrik], Grimmond, C.S.B.[C. S. B.],
Uncertainties in Tidally Adjusted Estimates of Sea Level Rise Flooding (Bathtub Model) for the Greater London,
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DOI Link 1606
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Zander, F.[Franziska], Kralisch, S.[Sven],
River Basin Information System: Open Environmental Data Management for Research and Decision Making,
IJGI(5), No. 7, 2016, pp. 123.
DOI Link 1608
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Dawson, S.K.[Samantha K.], Fisher, A.[Adrian], Lucas, R.[Richard], Hutchinson, D.K.[David K.], Berney, P.[Peter], Keith, D.[David], Catford, J.A.[Jane A.], Kingsford, R.T.[Richard T.],
Remote Sensing Measures Restoration Successes, but Canopy Heights Lag in Restoring Floodplain Vegetation,
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DOI Link 1608
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Bodoque, J.M.[José María], Guardiola-Albert, C.[Carolina], Aroca-Jiménez, E.[Estefanía], Eguibar, M.Á.[Miguel Ángel], Martínez-Chenoll, M.L.[María Lorena],
Flood Damage Analysis: First Floor Elevation Uncertainty Resulting from LiDAR-Derived Digital Surface Models,
RS(8), No. 7, 2016, pp. 604.
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Li, L.[Linyi], Xu, T.B.[Ting-Bao], Chen, Y.[Yun],
Improved Urban Flooding Mapping from Remote Sensing Images Using Generalized Regression Neural Network-Based Super-Resolution Algorithm,
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Burke, J.J.[Jeri J.], Pricope, N.G.[Narcisa G.], Blum, J.[James],
Thermal Imagery-Derived Surface Inundation Modeling to Assess Flood Risk in a Flood-Pulsed Savannah Watershed in Botswana and Namibia,
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Díaz-Delgado, R.[Ricardo], Aragonés, D.[David], Afán, I.[Isabel], Bustamante, J.[Javier],
Long-Term Monitoring of the Flooding Regime and Hydroperiod of Doñana Marshes with Landsat Time Series (1974-2014),
RS(8), No. 9, 2016, pp. 775.
DOI Link 1610
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Tamari, S.[Serge], Guerrero-Meza, V.[Vicente],
Flash Flood Monitoring with an Inclined Lidar Installed at a River Bank: Proof of Concept,
RS(8), No. 10, 2016, pp. 834.
DOI Link 1609
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Schinke, R.[Reinhard], Kaidel, A.[Anna], Golz, S.[Sebastian], Naumann, T.[Thomas], López-Gutiérrez, J.S.[José Santos], Garvin, S.[Stephen],
Analysing the Effects of Flood-Resilience Technologies in Urban Areas Using a Synthetic Model Approach,
IJGI(5), No. 11, 2016, pp. 202.
DOI Link 1612
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Giustarini, L., Hostache, R., Kavetski, D., Chini, M., Corato, G., Schlaffer, S., Matgen, P.,
Probabilistic Flood Mapping Using Synthetic Aperture Radar Data,
GeoRS(54), No. 12, December 2016, pp. 6958-6969.
IEEE DOI 1612
floods BibRef

Singh, A.[Akansha], Singh, K.K.[Krishna Kant],
Satellite image classification using Genetic Algorithm trained radial basis function neural network, application to the detection of flooded areas,
JVCIR(42), No. 1, 2017, pp. 173-182.
Elsevier DOI 1701
Radial basis function BibRef

Nakmuenwai, P.[Pisut], Yamazaki, F.[Fumio], Liu, W.[Wen],
Automated Extraction of Inundated Areas from Multi-Temporal Dual-Polarization RADARSAT-2 Images of the 2011 Central Thailand Flood,
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DOI Link 1702
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Extraction Of Flooded Areas Due The 2015 Kanto-tohoku Heavy Rainfall In Japan Using Palsar-2 Images,
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Xia, H.M.[Hao-Ming], Zhao, W.[Wei], Li, A.[Ainong], Bian, J.[Jinhu], Zhang, Z.J.[Zheng-Jian],
Subpixel Inundation Mapping Using Landsat-8 OLI and UAV Data for a Wetland Region on the Zoige Plateau, China,
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Vanderhoof, M.K.[Melanie K.], Distler, H.E.[Hayley E.], Mendiola, D.T.G.[Di_Ana Teresa G.], Lang, M.[Megan],
Integrating Radarsat-2, Lidar, and Worldview-3 Imagery to Maximize Detection of Forested Inundation Extent in the Delmarva Peninsula, USA,
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DOI Link 1703
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Olthof, I.[Ian],
Mapping Seasonal Inundation Frequency (1985-2016) along the St-John River, New Brunswick, Canada using the Landsat Archive,
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Langhammer, J.[Jakub], Lendzioch, T.[Theodora], Mirijovský, J.[Jakub], Hartvich, F.[Filip],
UAV-Based Optical Granulometry as Tool for Detecting Changes in Structure of Flood Depositions,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
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Ban, H.J.[Hyun-Ju], Kwon, Y.J.[Young-Joo], Shin, H.[Hayan], Ryu, H.S.[Han-Sol], Hong, S.[Sungwook],
Flood Monitoring Using Satellite-Based RGB Composite Imagery and Refractive Index Retrieval in Visible and Near-Infrared Bands,
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DOI Link 1705
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Liu, X.Y.[Xiao-Yi], Sahli, H.[Hichem], Meng, Y.[Yu], Huang, Q.Q.[Qing-Qing], Lin, L.[Lei],
Flood Inundation Mapping from Optical Satellite Images Using Spatiotemporal Context Learning and Modest AdaBoost,
RS(9), No. 6, 2017, pp. xx-yy.
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Mao, J.[Jian], Wang, S.D.[Shan-Dong], Ni, J.H.[Jian-Hua], Xi, C.B.[Chang-Bai], Wang, J.C.[Jie-Chen],
Management System for Dam-Break Hazard Mapping in a Complex Basin Environment,
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Kwak, Y.J.[Young-Joo],
Nationwide Flood Monitoring for Disaster Risk Reduction Using Multiple Satellite Data,
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Bohorquez, P.[Patricio], del Moral-Erencia, J.D.[José David],
100 Years of Competition between Reduction in Channel Capacity and Streamflow during Floods in the Guadalquivir River (Southern Spain),
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Rounce, D.R.[David R.], Watson, C.S.[C. Scott], McKinney, D.C.[Daene C.],
Identification of Hazard and Risk for Glacial Lakes in the Nepal Himalaya Using Satellite Imagery from 2000-2015,
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Horkaew, P.[Paramate], Puttinaovarat, S.[Supattra],
Entropy-Based Fusion of Water Indices and DSM Derivatives for Automatic Water Surfaces Extraction and Flood Monitoring,
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Sun, Z.L.[Zhang-Li], Zhu, X.F.[Xiu-Fang], Pan, Y.Z.[Yao-Zhong], Zhang, J.S.[Jin-Shui],
Assessing Terrestrial Water Storage and Flood Potential Using GRACE Data in the Yangtze River Basin, China,
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Bangira, T.[Tsitsi], Alfieri, S.M.[Silvia Maria], Menenti, M.[Massimo], van Niekerk, A.[Adriaan], Vekerdy, Z.[Zoltán],
A Spectral Unmixing Method with Ensemble Estimation of Endmembers: Application to Flood Mapping in the Caprivi Floodplain,
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Zhou, H.[Hao], Luo, Z.C.[Zhi-Cai], Tangdamrongsub, N.[Natthachet], Wang, L.[Lunche], He, L.J.[Li-Jie], Xu, C.[Chuang], Li, Q.[Qiong],
Characterizing Drought and Flood Events over the Yangtze River Basin Using the HUST-Grace2016 Solution and Ancillary Data,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Zhou, H.[Hao], Luo, Z.C.[Zhi-Cai], Tangdamrongsub, N.[Natthachet], Zhou, Z.[Zebing], He, L.J.[Li-Jie], Xu, C.[Chuang], Li, Q.[Qiong], Wu, Y.L.[Yun-Long],
Identifying Flood Events over the Poyang Lake Basin Using Multiple Satellite Remote Sensing Observations, Hydrological Models and In Situ Data,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Chini, M., Hostache, R., Giustarini, L., Matgen, P.,
A Hierarchical Split-Based Approach for Parametric Thresholding of SAR Images: Flood Inundation as a Test Case,
GeoRS(55), No. 12, December 2017, pp. 6975-6988.
IEEE DOI 1712
Backscatter, Distribution functions, Estimation, Histograms, Spatial resolution, Speckle, Synthetic aperture radar, synthetic aperture radar (SAR) BibRef

Kefi, M.[Mohamed], Mishra, B.K.[Binaya Kumar], Kumar, P.[Pankaj], Masago, Y.[Yoshifumi], Fukushi, K.[Kensuke],
Assessment of Tangible Direct Flood Damage Using a Spatial Analysis Approach under the Effects of Climate Change: Case Study in an Urban Watershed in Hanoi, Vietnam,
IJGI(7), No. 1, 2018, pp. xx-yy.
DOI Link 1801
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Tong, X.H.[Xiao-Hua], Luo, X.[Xin], Liu, S.G.[Shu-Guang], Xie, H.[Huan], Chao, W.[Wei], Liu, S.[Shuang], Liu, S.J.[Shi-Jie], Makhinov, A.N., Makhinova, A.F., Jiang, Y.[Yuying],
An approach for flood monitoring by the combined use of Landsat 8 optical imagery and COSMO-SkyMed radar imagery,
PandRS(136), 2018, pp. 144-153.
Elsevier DOI 1802
SAR, Water extraction, Support vector machine, Active contour, Inundation analysis BibRef

Feng, Y.[Yu], Sester, M.[Monika],
Extraction of Pluvial Flood Relevant Volunteered Geographic Information (VGI) by Deep Learning from User Generated Texts and Photos,
IJGI(7), No. 2, 2018, pp. xx-yy.
DOI Link 1802
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Sharma, S. .K.[Sanjay Kumar], Kwak, Y.J.[Young-Joo], Kumar, R.[Rakesh], Sarma, B.[Bibhash],
Analysis of Hydrological Sensitivity for Flood Risk Assessment,
IJGI(7), No. 2, 2018, pp. xx-yy.
DOI Link 1802
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Boergens, E.[Eva], Nielsen, K.[Karina], Andersen, O.B.[Ole Baltazar], Dettmering, D.[Denise], Seitz, F.[Florian],
River Levels Derived with CryoSat-2 SAR Data Classification: A Case Study in the Mekong River Basin,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
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Yang, C.[Chao], Luo, J.[Jin], Hu, C.[Chuli], Tian, L.[Lu], Li, J.[Jie], Wang, K.[Ke],
An Observation Task Chain Representation Model for Disaster Process-Oriented Remote Sensing Satellite Sensor Planning: A Flood Water Monitoring Application,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
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Sghaier, M.O.[Moslem Ouled], Hammami, I.[Imen], Foucher, S.[Samuel], Lepage, R.[Richard],
Flood Extent Mapping from Time-Series SAR Images Based on Texture Analysis and Data Fusion,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
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Yi, L.[Lu], Zhang, W.[Wanchang], Wang, K.[Kai],
Evaluation of Heavy Precipitation Simulated by the WRF Model Using 4D-Var Data Assimilation with TRMM 3B42 and GPM IMERG over the Huaihe River Basin, China,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
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Martinis, S.[Sandro], Plank, S.[Simon], Cwik, K.[Kamila],
The Use of Sentinel-1 Time-Series Data to Improve Flood Monitoring in Arid Areas,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
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Li, X.H.[Xiao-Hui], Han, G.[Guoqi], Yang, J.S.[Jing-Song], Chen, D.[Dake], Zheng, G.[Gang], Chen, N.[Nan],
Using Satellite Altimetry to Calibrate the Simulation of Typhoon Seth Storm Surge off Southeast China,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Amitrano, D., di Martino, G., Iodice, A., Riccio, D., Ruello, G.,
Unsupervised Rapid Flood Mapping Using Sentinel-1 GRD SAR Images,
GeoRS(56), No. 6, June 2018, pp. 3290-3299.
IEEE DOI 1806
Feeds, Floods, Fuzzy systems, Indexes, Spatial resolution, Synthetic aperture radar, Classification, co-occurrence texture, synthetic aperture radar (SAR) BibRef

Amitrano, D., di Martino, G., Iodice, A., Mitidieri, F., Papa, M.N., Riccio, D., Ruello, G.,
Mapping small reservoirs in semi-arid regions using multitemporal SAR: Methods and applications,
MultiTemp17(1-4)
IEEE DOI 1712
hydrological techniques, remote sensing, reservoirs, synthetic aperture radar, area measurements, innovative method, BibRef

Li, J.G.[Jia-Guang], Yang, X.C.[Xiu-Cheng], Maffei, C.[Carmine], Tooth, S.[Stephen], Yao, G.Q.[Guang-Qing],
Applying Independent Component Analysis on Sentinel-2 Imagery to Characterize Geomorphological Responses to an Extreme Flood Event near the Non-Vegetated Río Colorado Terminus, Salar de Uyuni, Bolivia,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
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Food Vulnerability And Alluvial Farming for Food Security in Central Dry Zone Area of Myanmar,
GeoDisast17(31-38).
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Tehrany, M.S., Jones, S.,
Evaluating the Variations in the Flood Susceptibility Maps Accuracies Due to the Alterations in the Type And Extent of the Flood Inventory,
GeoDisast17(209-214).
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Arkhipkin, O.P., Sagatdinova, G.N.,
Possibilities of the Joint Use of Optical And Radar Data in Flood Space Monitoring,
Gi4DM18(67-73).
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Bayik, C., Abdikan, S., Ozbulak, G., Alasag, T., Aydemir, S., Balik Sanli, F.,
Exploiting Multi-temporal Sentinel-1 Sar Data for Flood Extend Mapping,
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Cruz-Bello, G.M., Alfie-Cohen, M., Morales-Zaragoza, N.A., Larralde-Corona, A.H., Reyes Perez, J.,
Flood Vulnerability Reduction, Using A Partial Participatory Gis Approach. A Study Case in Baja California Sur, Mexico.,
Gi4DM18(185-190).
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Gandini, A., Prieto, I., Garmendia, L., San-José, J.T., Egusquiza, A.,
Adaptation to Flooding Events Through Vulnerability Mapping in Historic Urban Areas,
Gi4DM18(221-226).
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Kwak, Y.J.,
Flash Flood Mapping for Mountain Streams Using High-resolution Alos-2 Data,
Gi4DM18(307-312).
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Kwak, Y., Muraoka, K., Asai, K.,
Community-based Nationwide Capacity Building for GIS-based Integrated Flood Management,
Gi4DM18(313-318).
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Vito, D.,
Use of Multivariate Machine Learning Analysis Techniques for Flood Risk Prevention,
Gi4DM18(549-554).
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Yeon, S., Kang, J., Lee, I.,
A Study On Real-time Flood Monitoring System Based On Sensors Using Flood Damage Insurance Map,
Gi4DM18(569-571).
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Zakaria, S., Mahadi, M.R., Abdullah, A.F., Abdan, K.,
Aerial Platform Reliability for Flood Monitoring Under Various Weather Conditions: A Review,
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Al-Akad, S., Akensous, Y., Hakdaoui, M.,
Mapping Infected Area After A Flash-flooding Storm Using Multi Criteria Analysis And Spectral Indices,
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Chaabani, C.[Chayma], Abdelfattah, R.[Riadh],
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Ichim, L.[Loretta], Popescu, D.[Dan],
Monitoring and Evaluation of Flooded Areas Based on Fused Texture Descriptors,
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Ichim, L.[Loretta], Popescu, D.[Dan],
Combining Color Fractal with LBP Information for Flood Segmentation in UAV-Based Images,
CIAP17(II:741-752).
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Sarker, C., Alvarez, L.M., Woodley, A.,
Integrating Recursive Bayesian Estimation with Support Vector Machine to Map Probability of Flooding from Multispectral Landsat Data,
DICTA16(1-8)
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Australia BibRef

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A Flood Detection and Warning System Based on Video Content Analysis,
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Ramírez-Núñez, C., Parrot, J.F.,
Lateral Flooding Associated To Wave Flood Generation On River Surface,
ISPRS16(B2: 353-355).
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Babacan, K., Jung, J., Wichmann, A., Jahromi, B.A., Shahbazi, M., Sohn, G., Kada, M.,
Towards Object Driven Floor Plan Extraction From Laser Point Cloud,
ISPRS16(B3: 3-10).
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Tsyganskaya, V., Martinis, S., Twele, A., Cao, W., Schmitt, A., Marzahn, P., Ludwig, R.,
A Fuzzy Logic-based Approach For The Detection Of Flooded Vegetation By Means Of Synthetic Aperture Radar Data,
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Lee, J.S., Lee, I.S.,
The Study Of Insurance Premium Rate Gis Mapping Considering The Storm And Flood Hazard Risks,
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Makinano-Santillan, M., Santillan, J.R., Morales, E.M.O., Asube, L.C.S., Amora, A.M., Cutamora, L.C., Makinano, R.M.,
Academe-local Government Partnership Towards Effective Application Of Geospatial Technologies For Smarter Flood Disaster Management At The Local Level: An Example From Mindanao, Philippines,
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Rodriguez, D.A., Carriello, F., Fernandes, P.J.F., Lopes, L.G.[L. Garofolo], Júnior, J.L.S.[J. L. Siqueira],
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Tymkow, P., Karpina, M., Borkowski, A.,
3D GIS for Flood Modelling In River Valleys,
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Johnson, E.S.,
Assessing Flood Impacts In Rural Coastal Communities Using Lidar,
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Santillan, J.R., Amora, A.M., Makinano-Santillan, M., Marqueso, J.T., Cutamora, L.C., Serviano, J.L., Makinano, R.M.,
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Kwak, Y., Park, J., Arifuzzaman, B., Iwami, Y., Amirul, M., Kondoh, A.,
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Advance flood detection and notification system based on sensor technology and machine learning algorithm,
WSSIP15(105-108)
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Kuldeep, Garg, P.K.,
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Nedvedova, K., Pergl, R.,
Information support systems for cultural heritage protection against flooding,
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A Conceptual Modeling of spatio-temporal database to Estimate Runoff Changes in Urbanized Watersheds,
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Automatic surface classification for retrieving areas which are highly endangered by extreme rain,
Thematic14(93-100).
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Flood Mapping Using InSAR Coherence Map,
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Tournadre, V., Pierrot-Deseilligny, M., Faure, P.H.,
UAV Linear Photogrammetry,
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UAV Photogrammetry to Monitor Dykes: Calibration and Comparison to Terrestrial Lidar,
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Mcdougall, K., Temple-Watts, P.,
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Li, X.T.[Xiao-Tao], Huang, S.F.[Shi-Feng], Sun, T.[Tao], Xin, J.F.[Jin-Feng], Song, X.N.[Xiao-Ning],
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ISIDF11(1-3).
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Sun, T.[Tao], Li, R.[Rong], Li, G.[Guo],
Research on Information Extraction of Collapsed Houses by Floods,
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3D Visualization for Flood Adaptation Options in Delta, B.C.,
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Lidar Filtering Algorithm for Urban Flood Application,
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Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Hydrological Analysis, Hydrological Modeling .


Last update:Jun 14, 2018 at 16:13:32