24.2.2.3 Flood Analysis, Flood Mapping, Flood Monitoring

Chapter Contents (Back)
Flood Analysis.
See also SAR and Radar for Flood Analysis, Flood Mapping, Flood Monitoring. Damage Analysis
See also Flood Damage Analysis, Impacts, Economic. Risk analysis:
See also Flood Risk Analysis, Flood Hazard Assessment, Susceptibility. Coast, tide specific:
See also Coastal, Tidal Flood Analysis, Storm Surge.
See also Land Cover Analysis, Water Detection, Water Areas, Water Body.
See also Hydrological Analysis, Hydrological Modeling.
See also Floodplains, Riverside.

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
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.[Nicola], Tramutoli, V.[Valerio],
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

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

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

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

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

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

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

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

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

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

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.B.[Yuan-Bo],
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
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

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
BibRef

Li, L.Y.[Lin-Yi], 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,
RS(8), No. 8, 2016, pp. 625.
DOI Link 1609
BibRef

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
BibRef

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
BibRef

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
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

Xia, H.M.[Hao-Ming], Zhao, W.[Wei], Li, A.[Ainong], Bian, J.H.[Jin-Hu], Zhang, Z.J.[Zheng-Jian],
Subpixel Inundation Mapping Using Landsat-8 OLI and UAV Data for a Wetland Region on the Zoige Plateau, China,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Olthof, I.[Ian],
Mapping Seasonal Inundation Frequency (1985-2016) along the St-John River, New Brunswick, Canada using the Landsat Archive,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link 1703
BibRef

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
BibRef

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,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

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.
DOI Link 1706
BibRef

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,
IJGI(6), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

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),
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Horkaew, P.[Paramate], Puttinaovarat, S.[Supattra],
Entropy-Based Fusion of Water Indices and DSM Derivatives for Automatic Water Surfaces Extraction and Flood Monitoring,
IJGI(6), No. 10, 2017, pp. xx-yy.
DOI Link 1710
BibRef

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,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
BibRef

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.B.[Ze-Bing], 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

Liu, S.[Sulan], Wu, Y.L.[Yun-Long], Xu, G.D.[Guo-Dong], Cheng, S.[Siyu], Zhong, Y.L.[Yu-Long], Zhang, Y.[Yi],
Characterizing the 2022 Extreme Drought Event over the Poyang Lake Basin Using Multiple Satellite Remote Sensing Observations and In Situ Data,
RS(15), No. 21, 2023, pp. 5125.
DOI Link 2311
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
BibRef

Yang, C.[Chao], Luo, J.[Jin], Hu, C.L.[Chu-Li], 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
BibRef

Yi, L.[Lu], Zhang, W.C.[Wan-Chang], 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
BibRef

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
BibRef

Li, X.H.[Xiao-Hui], Han, G.Q.[Guo-Qi], 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

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
BibRef

Kordelas, G.A.[Georgios A.], Manakos, I.[Ioannis], Aragonés, D.[David], Díaz-Delgado, R.[Ricardo], Bustamante, J.[Javier],
Fast and Automatic Data-Driven Thresholding for Inundation Mapping with Sentinel-2 Data,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Lim, J.B.[Joong-Bin], Lee, K.S.[Kyoo-Seock],
Flood Mapping Using Multi-Source Remotely Sensed Data and Logistic Regression in the Heterogeneous Mountainous Regions in North Korea,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Huang, X., Wang, C., Li, Z.,
Reconstructing Flood Inundation Probability by Enhancing Near Real-Time Imagery With Real-Time Gauges and Tweets,
GeoRS(56), No. 8, August 2018, pp. 4691-4701.
IEEE DOI 1808
data acquisition, floods, hydrological techniques, probability, remote sensing, enhancing near real-time imagery, remote sensing BibRef

Goldberg, M.D.[Mitchell D.], Li, S.[Sanmei], Goodman, S.[Steven], Lindsey, D.[Dan], Sjoberg, B.[Bill], Sun, D.L.[Dong-Lian],
Contributions of Operational Satellites in Monitoring the Catastrophic Floodwaters Due to Hurricane Harvey,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Tsyganskaya, V.[Viktoriya], Martinis, S.[Sandro], Marzahn, P.[Philip], Ludwig, R.[Ralf],
Detection of Temporary Flooded Vegetation Using Sentinel-1 Time Series Data,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Casado, M.R.[Monica Rivas], Irvine, T.[Tracy], Johnson, S.[Sarah], Palma, M.[Marco], Leinster, P.[Paul],
The Use of Unmanned Aerial Vehicles to Estimate Direct Tangible Losses to Residential Properties from Flood Events: A Case Study of Cockermouth Following the Desmond Storm,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Zazo, S.[Santiago], Rodríguez-Gonzálvez, P.[Pablo], Molina, J.L.[José-Luis], González-Aguilera, D.[Diego], Agudelo-Ruiz, C.A.[Carlos Andrés], Hernández-López, D.[David],
Flood Hazard Assessment Supported by Reduced Cost Aerial Precision Photogrammetry,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Notti, D.[Davide], Giordan, D.[Daniele], Caló, F.[Fabiana], Pepe, A.[Antonio], Zucca, F.[Francesco], Galve, J.P.[Jorge Pedro],
Potential and Limitations of Open Satellite Data for Flood Mapping,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Wang, Y.Q.[Ye-Qiao], Yésou, H.[Hervé],
Remote Sensing of Floodpath Lakes and Wetlands: A Challenging Frontier in the Monitoring of Changing Environments,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
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Liu, J.[Jie], Xu, Z.W.[Zhi-Wei], Chen, F.[Fulong], Chen, F.[Fang], Zhang, L.[Lu],
Flood Hazard Mapping and Assessment on the Angkor World Heritage Site, Cambodia,
RS(11), No. 1, 2019, pp. xx-yy.
DOI Link 1901
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Wang, Y.[Yi], Hong, H.Y.[Hao-Yuan], Chen, W.[Wei], Li, S.J.[Shao-Jun], Pamucar, D.[Dragan], Gigovic, L.[Ljubomir], Drobnjak, S.[Siniša], Bui, D.T.[Dieu Tien], Duan, H.[Hexiang],
A Hybrid GIS Multi-Criteria Decision-Making Method for Flood Susceptibility Mapping at Shangyou, China,
RS(11), No. 1, 2018, pp. xx-yy.
DOI Link 1901
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Gigovic, L.[Ljubomir], Drobnjak, S.[Siniša], Pamucar, D.[Dragan],
The Application of the Hybrid GIS Spatial Multi-Criteria Decision Analysis Best-Worst Methodology for Landslide Susceptibility Mapping,
IJGI(8), No. 2, 2019, pp. xx-yy.
DOI Link 1903
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Zaji, A.H., Bonakdari, H., Gharabaghi, B.,
Applying Upstream Satellite Signals and a 2-D Error Minimization Algorithm to Advance Early Warning and Management of Flood Water Levels and River Discharge,
GeoRS(57), No. 2, February 2019, pp. 902-910.
IEEE DOI 1901
Rivers, Satellites, Discharges (electric), Input variables, Satellite broadcasting, Forecasting, Fault diagnosis, remote sensing BibRef

Rahman, M.S.[M. Shahinoor], Di, L.P.[Li-Ping], Yu, E.[Eugene], Lin, L.[Li], Zhang, C.[Chen], Tang, J.[Junmei],
Rapid Flood Progress Monitoring in Cropland with NASA SMAP,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902
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Lin, L.[Li], Di, L.P.[Li-Ping], Tang, J.[Junmei], Yu, E.[Eugene], Zhang, C.[Chen], Rahman, M.S.[Md. Shahinoor], Shrestha, R.[Ranjay], Kang, L.J.[Ling-Jun],
Improvement and Validation of NASA/MODIS NRT Global Flood Mapping,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902
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Jiang, J.C.[Jing-Chao], Liu, J.Z.[Jun-Zhi], Cheng, C.X.[Chang-Xiu], Huang, J.Z.[Jing-Zhou], Xue, A.[Anke],
Automatic Estimation of Urban Waterlogging Depths from Video Images Based on Ubiquitous Reference Objects,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
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Jiang, J.C.[Jing-Chao], Qin, C.Z.[Cheng-Zhi], Yu, J.[Juan], Cheng, C.X.[Chang-Xiu], Liu, J.Z.[Jun-Zhi], Huang, J.Z.[Jing-Zhou],
Obtaining Urban Waterlogging Depths from Video Images Using Synthetic Image Data,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link 2003
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Lacava, T.[Teodosio], Ciancia, E.[Emanuele], Faruolo, M.[Mariapia], Pergola, N.[Nicola], Satriano, V.[Valeria], Tramutoli, V.[Valerio],
On the Potential of RST-FLOOD on Visible Infrared Imaging Radiometer Suite Data for Flooded Areas Detection,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
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Bhattacharya, B.[Biswa], Mazzoleni, M.[Maurizio], Ugay, R.[Reyne],
Flood Inundation Mapping of the Sparsely Gauged Large-Scale Brahmaputra Basin Using Remote Sensing Products,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
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Jacquinod, F.[Florence], Bonaccorsi, J.[Julia],
Studying Social Uses of 3D Geovisualizations: Lessons Learned from Action-Research Projects in the Field of Flood Mitigation Planning,
IJGI(8), No. 2, 2019, pp. xx-yy.
DOI Link 1903
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Jones, J.W.[John W.],
Improved Automated Detection of Subpixel-Scale Inundation: Revised Dynamic Surface Water Extent (DSWE) Partial Surface Water Tests,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
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Ahmad, K.[Kashif], Pogorelov, K.[Konstantin], Riegler, M.[Michael], Ostroukhova, O.[Olga], Halvorsen, P.[Pål], Conci, N.[Nicola], Dahyot, R.[Rozenn],
Automatic detection of passable roads after floods in remote sensed and social media data,
SP:IC(74), 2019, pp. 110-118.
Elsevier DOI 1904
Flood detection, Convolutional neural networks, Natural disasters, Social media, Satellite imagery, Multimedia indexing and retrieval BibRef

Wan, W.[Wei], Liu, B.J.[Bao-Jian], Zeng, Z.Y.[Zi-Yue], Chen, X.[Xi], Wu, G.P.[Gui-Ping], Xu, L.W.[Li-Wen], Chen, X.W.[Xiu-Wan], Hong, Y.[Yang],
Using CYGNSS Data to Monitor China's Flood Inundation during Typhoon and Extreme Precipitation Events in 2017,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904
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Zou, F.[Fang], Tenzer, R.[Robert], Jin, S.G.[Shuang-Gen],
Water Storage Variations in Tibet from GRACE, ICESat, and Hydrological Data,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
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Hadimlioglu, I.A.[I. Alihan], King, S.A.[Scott A.],
Visualization of Flooding Using Adaptive Spatial Resolution,
IJGI(8), No. 5, 2019, pp. xx-yy.
DOI Link 1906
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Wang, Y.[Yanmei], Zhang, C.C.[Cheng-Cai], Zhang, Y.S.[Yi-Sheng], Huang, H.[He], Feng, L.T.[Ling-Tong],
Obtaining Land Cover Type for Urban Storm Flood Model in UAV Images Using MRF and MKFCM Clustering Techniques,
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Forbes, B.T.[Brandon T.], DeBenedetto, G.P.[Geoffrey P.], Dickinson, J.E.[Jesse E.], Bunch, C.E.[Claire E.], Fitzpatrick, F.A.[Faith A.],
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Yang, S.T.[Sheng-Tian], Li, C.J.[Chao-Jun], Lou, H.Z.[He-Zhen], Wang, P.F.[Peng-Fei], Wang, J.[Juan], Ren, X.Y.[Xiao-Yu],
Performance of an Unmanned Aerial Vehicle (UAV) in Calculating the Flood Peak Discharge of Ephemeral Rivers Combined with the Incipient Motion of Moving Stones in Arid Ungauged Regions,
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Kim, Y.[Yunjee], Lee, M.J.[Moung-Jin],
Rapid Change Detection of Flood Affected Area after Collapse of the Laos Xe-Pian Xe-Namnoy Dam Using Sentinel-1 GRD Data,
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Debusscher, B.[Bos], Landuyt, L.[Lisa], van Coillie, F.[Frieke],
A Visualization Tool for Flood Dynamics Monitoring Using a Graph-Based Approach,
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Zhang, Y.[Ying], Crawford, P.[Peter],
Automated Extraction of Visible Floodwater in Dense Urban Areas from RGB Aerial Photos,
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Moya, L.[Luis], Mas, E.[Erick], Koshimura, S.[Shunichi],
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Ichim, L.[Loretta], Popescu, D.[Dan],
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Islam, K.A.[Kazi Aminul], Uddin, M.S.[Mohammad Shahab], Kwan, C.[Chiman], Li, J.[Jiang],
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Chaudhary, P., d'Aronco, S., Leitão, J.P., Schindler, K., Wegner, J.D.,
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Elsevier DOI 2008
Object detection, Deep learning, Image segmentation, Flood estimation, Learning to rank, Flood detection BibRef

Spyrou, C.[Christos], Varlas, G.[George], Pappa, A.[Aikaterini], Mentzafou, A.[Angeliki], Katsafados, P.[Petros], Papadopoulos, A.[Anastasios], Anagnostou, M.N.[Marios N.], Kalogiros, J.[John],
Implementation of a Nowcasting Hydrometeorological System for Studying Flash Flood Events: The Case of Mandra, Greece,
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Ohki, M.[Masato], Yamamoto, K.[Kosuke], Tadono, T.[Takeo], Yoshimura, K.[Kei],
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Unnithan, S.L.K.[S L Kesav], Biswal, B.[Basudev], Rüdiger, C.[Christoph],
Flood Inundation Mapping by Combining GNSS-R Signals with Topographical Information,
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Li, S.[Sanmei], Goldberg, M.D.[Mitchell D.], Sjoberg, W.[William], Zhou, L.[Lihang], Nandi, S.[Sreela], Chowdhury, N.[Nazmi], Straka, W.[William], Yang, T.S.[Tian-Shu], Sun, D.L.[Dong-Lian],
Assessment of the Catastrophic Asia Floods and Potentially Affected Population in Summer 2020 Using VIIRS Flood Products,
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Arabameri, A.[Alireza], Saha, S.I.[Sun-Il], Mukherjee, K.[Kaustuv], Blaschke, T.[Thomas], Chen, W.[Wei], Ngo, P.T.T.[Phuong Thao Thi], Band, S.S.[Shahab S.],
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Hassan, M.M.[Mohammad Mehedy], Ash, K.[Kevin], Abedin, J.[Joynal], Paul, B.K.[Bimal Kanti], Southworth, J.[Jane],
A Quantitative Framework for Analyzing Spatial Dynamics of Flood Events: A Case Study of Super Cyclone Amphan,
RS(12), No. 20, 2020, pp. xx-yy.
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Feng, Y.[Yu], Brenner, C.[Claus], Sester, M.[Monika],
Flood severity mapping from Volunteered Geographic Information by interpreting water level from images containing people: A case study of Hurricane Harvey,
PandRS(169), 2020, pp. 301-319.
Elsevier DOI 2011
Flood severity mapping, Social media, Crowdsourcing, Volunteered geographic information, Hurricane Harvey BibRef

Landuyt, L.[Lisa], Verhoest, N.E.C.[Niko E. C.], van Coillie, F.M.B.[Frieke M. B.],
Flood Mapping in Vegetated Areas Using an Unsupervised Clustering Approach on Sentinel-1 and -2 Imagery,
RS(12), No. 21, 2020, pp. xx-yy.
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Cigna, F.[Francesca], Xie, H.J.[Hong-Jie],
Imaging Floods and Glacier Geohazards with Remote Sensing,
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Munir, B.A.[Bilal Ahmad], Ahmad, S.R.[Sajid Rashid], Rehan, R.[Raja],
Torrential Flood Water Management: Rainwater Harvesting through Relation Based Dam Suitability Analysis and Quantification of Erosion Potential,
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DOI Link 2101
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Wania, A.[Annett], Joubert-Boitat, I.[Inès], Dottori, F.[Francesco], Kalas, M.[Milan], Salamon, P.[Peter],
Increasing Timeliness of Satellite-Based Flood Mapping Using Early Warning Systems in the Copernicus Emergency Management Service,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
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Zhu, Z.H.[Zhi-Hua], Yang, Y.Y.[Yue-Ying], Cai, Y.P.[Yan-Peng], Yang, Z.F.[Zhi-Feng],
Urban Flood Analysis in Ungauged Drainage Basin Using Short-Term and High-Resolution Remotely Sensed Rainfall Records,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Bai, Y.B.[Yan-Bing], Wu, W.Q.[Wen-Qi], Yang, Z.X.[Zheng-Xin], Yu, J.Z.[Jin-Ze], Zhao, B.[Bo], Liu, X.[Xing], Yang, H.F.[Han-Fang], Mas, E.[Erick], Koshimura, S.[Shunichi],
Enhancement of Detecting Permanent Water and Temporary Water in Flood Disasters by Fusing Sentinel-1 and Sentinel-2 Imagery Using Deep Learning Algorithms: Demonstration of Sen1Floods11 Benchmark Datasets,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
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Tariq, A.[Aqil], Shu, H.[Hong], Kuriqi, A.[Alban], Siddiqui, S.[Saima], Gagnon, A.S.[Alexandre S.], Lu, L.L.[Lin-Lin], Linh, N.T.T.[Nguyen Thi Thuy], Pham, Q.B.[Quoc Bao],
Characterization of the 2014 Indus River Flood Using Hydraulic Simulations and Satellite Images,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
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Brill, F.[Fabio], Schlaffer, S.[Stefan], Martinis, S.[Sandro], Schröter, K.[Kai], Kreibich, H.[Heidi],
Extrapolating Satellite-Based Flood Masks by One-Class Classification: A Test Case in Houston,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
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Akiva, P.[Peri], Purri, M.[Matthew], Dana, K.[Kristin], Tellman, B.[Beth], Anderson, T.[Tyler],
H2O-Net: Self-Supervised Flood Segmentation via Adversarial Domain Adaptation and Label Refinement,
WACV21(111-122)
IEEE DOI 2106
Training, Image segmentation, Adaptation models, Time-frequency analysis, Satellites, Image resolution, Annotations BibRef

Wang, S.J.[Shi-Jin], Yang, Y.D.[Yuan-De], Gong, W.Y.[Wen-Yu], Che, Y.J.[Yan-Jun], Ma, X.G.[Xing-Gang], Xie, J.[Jia],
Reason Analysis of the Jiwenco Glacial Lake Outburst Flood (GLOF) and Potential Hazard on the Qinghai-Tibetan Plateau,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
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Konapala, G.[Goutam], Kumar, S.V.[Sujay V.], Ahmad, S.K.[Shahryar Khalique],
Exploring Sentinel-1 and Sentinel-2 diversity for flood inundation mapping using deep learning,
PandRS(180), 2021, pp. 163-173.
Elsevier DOI 2109
Flood inundation mapping, Deep learning, Segmentation, Hydrology BibRef

Vojtek, M.[Matej], Vojteková, J.[Jana], Pham, Q.B.[Quoc Bao],
GIS-Based Spatial and Multi-Criteria Assessment of Riverine Flood Potential: A Case Study of the Nitra River Basin, Slovakia,
IJGI(10), No. 9, 2021, pp. xx-yy.
DOI Link 2109
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Ali, S.[Sikandar], Cheema, M.J.M.[Muhammad Jehanzeb Masud], Waqas, M.M.[Muhammad Mohsin], Waseem, M.[Muhammad], Leta, M.K.[Megersa Kebede], Qamar, M.U.[Muhammad Uzair], Awan, U.K.[Usman Khalid], Bilal, M.[Muhammad], ur Rahman, M.H.[Muhammad Habib],
Flood Mitigation in the Transboundary Chenab River Basin: A Basin-Wise Approach from Flood Forecasting to Management,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
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Liu, Z.[Zhen], Jr, R.G.P.[Robert Gilmore Pontius],
The Total Operating Characteristic from Stratified Random Sampling with an Application to Flood Mapping,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
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Le Moine, N.[Nicolas], Mahdade, M.[Mounir],
A Preliminary Assessment of a Newly-Defined Multispectral Hue Space for Retrieving River Depth with Optical Imagery and In Situ Calibration Data,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
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Yang, W.T.[Wen-Tao], Gao, F.[Fan], Xu, T.[Tianhe], Wang, N.Z.[Na-Zi], Tu, J.S.[Jin-Sheng], Jing, L.[Lili], Kong, Y.H.[Ya-Hui],
Daily Flood Monitoring Based on Spaceborne GNSS-R Data: A Case Study on Henan, China,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
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Falck, A.[Aline], Tomasella, J.[Javier], Papa, F.[Fabrice],
Assessing the Potential of Upcoming Satellite Altimeter Missions in Operational Flood Forecasting Systems,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
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Yokoya, N.[Naoto], Yamanoi, K.[Kazuki], He, W.[Wei], Baier, G.[Gerald], Adriano, B.[Bruno], Miura, H.[Hiroyuki], Oishi, S.[Satoru],
Breaking Limits of Remote Sensing by Deep Learning From Simulated Data for Flood and Debris-Flow Mapping,
GeoRS(60), 2022, pp. 1-15.
IEEE DOI 2112
Remote sensing, Strain, Floods, Data models, Training data, Optical sensors, Optical imaging, numerical simulation BibRef

Zhang, S.C.[Shuang-Cheng], Ma, Z.M.[Zhong-Min], Li, Z.H.[Zhen-Hong], Zhang, P.F.[Peng-Fei], Liu, Q.[Qi], Nan, Y.[Yang], Zhang, J.J.[Jing-Jiang], Hu, S.W.[Sheng-Wei], Feng, Y.X.[Yu-Xuan], Zhao, H.[Hebin],
Using CYGNSS Data to Map Flood Inundation during the 2021 Extreme Precipitation in Henan Province, China,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
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Zhang, L.C.[Lian-Chong], Xia, J.[Junshi],
Flood Detection Using Multiple Chinese Satellite Datasets during 2020 China Summer Floods,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
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Hernández, D.[Daniel], Cecilia, J.M.[José M.], Cano, J.C.[Juan-Carlos], Calafate, C.T.[Carlos T.],
Flood Detection Using Real-Time Image Segmentation from Unmanned Aerial Vehicles on Edge-Computing Platform,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
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Ulloa, N.I.[Noel Ivan], Yun, S.H.[Sang-Ho], Chiang, S.H.[Shou-Hao], Furuta, R.[Ryoichi],
Sentinel-1 Spatiotemporal Simulation Using Convolutional LSTM for Flood Mapping,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
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Tulbure, M.G.[Mirela G.], Broich, M.[Mark], Perin, V.[Vinicius], Gaines, M.[Mollie], Ju, J.C.[Jun-Chang], Stehman, S.V.[Stephen V.], Pavelsky, T.[Tamlin], Masek, J.G.[Jeffrey G.], Yin, S.[Simon], Mai, J.[Joachim], Betbeder-Matibet, L.[Luc],
Can we detect more ephemeral floods with higher density harmonized Landsat Sentinel 2 data compared to Landsat 8 alone?,
PandRS(185), 2022, pp. 232-246.
Elsevier DOI 2202
Flooding, Ephemeral floods, Landsat, Sentinel 2, Analysis ready data, Harmonized data, Drylands BibRef

Colosio, P.[Paolo], Tedesco, M.[Marco], Tellman, E.[Elizabeth],
Flood Monitoring Using Enhanced Resolution Passive Microwave Data: A Test Case over Bangladesh,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
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Ammirati, L.[Lorenzo], Chirico, R.[Rita], di Martire, D.[Diego], Mondillo, N.[Nicola],
Application of Multispectral Remote Sensing for Mapping Flood-Affected Zones in the Brumadinho Mining District (Minas Gerais, Brasil),
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
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Bellido-Leiva, F.J.[Francisco J.], Lusardi, R.A.[Robert A.], Lund, J.R.[Jay R.],
Quantification of Off-Channel Inundated Habitat for Pacific Chinook Salmon (Oncorhynchus tshawytscha) along the Sacramento River, California, Using Remote Sensing Imagery,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
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Tew, Y.L.[Yi Lin], Tan, M.L.[Mou Leong], Juneng, L.[Liew], Chun, K.P.[Kwok Pan], bin Hassan, M.H.[Mohamad Hafiz], bin Osman, S.[Sazali], Samat, N.[Narimah], Chang, C.K.[Chun Kiat], Kabir, M.H.[Muhammad Humayun],
Rapid Extreme Tropical Precipitation and Flood Inundation Mapping Framework (RETRACE): Initial Testing for the 2021-2022 Malaysia Flood,
IJGI(11), No. 7, 2022, pp. xx-yy.
DOI Link 2208
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Yang, Z.L.[Zheng-Li], Yuan, X.Y.[Xin-Yue], Liu, C.[Chao], Nie, R.H.[Rui-Hua], Liu, T.G.[Tie-Gang], Dai, X.A.[Xiao-Ai], Ma, L.[Lei], Tang, M.[Min], Xu, Y.[Yina], Lu, H.[Heng],
Meta-Analysis and Visualization of the Literature on Early Identification of Flash Floods,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
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Huang, M.[Minmin], Jin, S.G.[Shuang-Gen],
Backscatter Characteristics Analysis for Flood Mapping Using Multi-Temporal Sentinel-1 Images,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
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Qiu, J.[Juan], Han, D.F.[Dong-Feng], Li, R.[Rendong], Xiao, Y.[Ying], Zhu, H.[Hong], Xia, J.[Jing], Jiang, J.[Jie], Han, Y.F.[Yi-Fei], Shao, Q.H.[Qi-Hui], Yan, Y.[Yi], Li, X.D.[Xiao-Dong],
Satellite Imagery-Based Identification of High-Risk Areas of Schistosome Intermediate Snail Hosts Spread after Flood,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
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Atefi, M.R.[Mujeeb Rahman], Miura, H.[Hiroyuki],
Detection of Flash Flood Inundated Areas Using Relative Difference in NDVI from Sentinel-2 Images: A Case Study of the August 2020 Event in Charikar, Afghanistan,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
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Hamunyela, E.[Eliakim], Hipondoka, M.[Martin], Persendt, F.[Frans], Sevelia-Nghiyalwa, H.[Hilma], Thomas, C.[Chris], Matengu, K.[Kenneth],
Spatio-temporal characterization of surface water dynamics with Landsat in endorheic Cuvelai-Etosha Basin (1990-2021),
PandRS(191), 2022, pp. 68-84.
Elsevier DOI 2208
Surface water, Landsat, Cuvelai-Etosha, Endorheic basin, Flooding, Angola, Namibia BibRef

Gu, L.[Lei], Gu, Z.Y.[Zi-Ye], Guo, Q.[Qiang], Fang, W.[Wei], Zhang, Q.Y.[Qian-Yi], Sun, H.W.[Huai-Wei], Yin, J.[Jiabo], Zhou, J.Z.[Jian-Zhong],
Can Satellite and Atmospheric Reanalysis Products Capture Compound Moist Heat Stress-Floods?,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
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Li, S.[Sanmei], Sun, D.L.[Dong-Lian], Goldberg, M.D.[Mitchell D.], Kalluri, S.[Satya], Sjoberg, B.[Bill], Lindsey, D.[Dan], Hoffman, J.P.[Jay P.], DeWeese, M.[Mike], Connelly, B.[Brian], Mckee, P.[Paul], Lander, K.[Kris],
A downscaling model for derivation of 3-D flood products from VIIRS imagery and SRTM/DEM,
PandRS(192), 2022, pp. 279-298.
Elsevier DOI 2209
VIIRS, Water Fraction, Downscaling Model, 3-D Flood Products, SRTM/DEM BibRef

Zhang, L.G.[Li-Gang], Hu, Q.[Qiao], Tang, Z.H.[Zheng-Hong],
Using Sentinel-2 Imagery and Machine Learning Algorithms to Assess the Inundation Status of Nebraska Conservation Easements during 2018-2021,
RS(14), No. 17, 2022, pp. xx-yy.
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Song, D.M.[Dong-Mei], Zhang, Q.Q.[Qi-Qi], Wang, B.[Bin], Yin, C.[Cong], Xia, J.M.[Jun-Ming],
A Novel Dual-Branch Neural Network Model for Flood Monitoring in South Asia Based on CYGNSS Data,
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Albertini, C.[Cinzia], Gioia, A.[Andrea], Iacobellis, V.[Vito], Manfreda, S.[Salvatore],
Detection of Surface Water and Floods with Multispectral Satellites,
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Kim, J.[Junwoo], Kim, H.[Hwisong], Kim, D.J.[Duk-Jin], Song, J.[Juyoung], Li, C.L.[Cheng-Lei],
Deep Learning-Based Flood Area Extraction for Fully Automated and Persistent Flood Monitoring Using Cloud Computing,
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DOI Link 2212
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Brazda, S.[Steven], Šraj, M.[Mojca], Bezak, N.[Nejc],
Classification of Floods in Europe and North America with Focus on Compound Events,
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VGI and Satellite Imagery Integration for Crisis Mapping of Flood Events,
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Li, M.[Mingke], McGrath, H.[Heather], Stefanakis, E.[Emmanuel],
Multi-Scale Flood Mapping under Climate Change Scenarios in Hexagonal Discrete Global Grids,
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Wei, H.H.[Hao-Han], Yu, T.N.[Tong-Ning], Tu, J.S.[Jin-Sheng], Ke, F.[Fuyang],
Detection and Evaluation of Flood Inundation Using CYGNSS Data during Extreme Precipitation in 2022 in Guangdong Province, China,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
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Lyu, J.Q.[Ji-Qiang], Yin, S.S.[Shan-Shan], Sun, Y.T.[Yu-Tong], Wang, K.X.[Ke-Xin], Luo, P.P.[Ping-Ping], Meng, X.L.[Xiao-Lan],
Flood Runoff Simulation under Changing Environment, Based on Multiple Satellite Data in the Jinghe River Basin of the Loess Plateau, China,
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Burshtynska, K.[Khrystyna], Kokhan, S.[Svitlana], Pfeifer, N.[Norbert], Halochkin, M.[Maksym], Zayats, I.[Iryna],
Hydrological Modeling for Determining Flooded Land from Unmanned Aerial Vehicle Images: Case Study at the Dniester River,
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Kimijima, S.[Satomi], Nagai, M.[Masahiko],
High Spatiotemporal Flood Monitoring Associated with Rapid Lake Shrinkage Using Planet Smallsat and Sentinel-1 Data,
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Wang, J.M.[Jing-Ming], Wang, F.[Futao], Wang, S.X.[Shi-Xin], Zhou, Y.[Yi], Ji, J.W.[Jian-Wan], Wang, Z.Q.[Zhen-Qing], Zhao, Q.[Qing], Liu, L.F.[Long-Fei],
Flood Monitoring in the Middle and Lower Basin of the Yangtze River Using Google Earth Engine and Machine Learning Methods,
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Nie, S.[Shengkun], Zheng, W.[Wei], Yin, W.J.[Wen-Jie], Zhong, Y.L.[Yu-Long], Shen, Y.F.[Yi-Fan], Li, K.Z.[Ke-Zhao],
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Sava, E.[Elena], Cervone, G.[Guido], Kalyanapu, A.[Alfred],
Multiscale Observation Product (MOP) for Temporal Flood Inundation Mapping of the 2015 Dallas Texas Flood,
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Huang, H.C.[Hao-Cheng], Lei, X.H.[Xiao-Hui], Liao, W.H.[Wei-Hong], Li, H.[Haichen], Wang, C.[Chao], Wang, H.[Hao],
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Oakes, G.[Gregory], Hardy, A.[Andy], Bunting, P.[Pete],
RadWet: An Improved and Transferable Mapping of Open Water and Inundated Vegetation Using Sentinel-1,
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Khan, S.D.[Sultan Daud], Basalamah, S.[Saleh],
Multi-Scale and Context-Aware Framework for Flood Segmentation in Post-Disaster High Resolution Aerial Images,
RS(15), No. 8, 2023, pp. 2208.
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Zhao, Z.G.[Zhong-Guo], Hu, C.L.[Chu-Li], Wang, K.[Ke], Zhang, Y.X.[Yi-Xiao], Xu, Z.Y.[Zhang-Yan], Ding, X.[Xuan],
An Earth Observation Task Representation Model Supporting Dynamic Demand for Flood Disaster Monitoring and Management,
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Cao, Y.Q.[Yong-Qiang], Wang, M.R.[Meng-Ran], Yao, J.Q.[Jia-Qi], Mo, F.[Fan], Zhu, H.[Hong], Hu, L.R.[Liu-Ru], Zhai, H.R.[Hao-Ran],
Stereoscopic Monitoring Methods for Flood Disasters Based on ICESat-2 and Sentinel-2 Data,
RS(15), No. 12, 2023, pp. xx-yy.
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Xiao, C.[Cuiyu], Zhong, Y.L.[Yu-Long], Wu, Y.L.[Yun-Long], Bai, H.B.[Hong-Bing], Li, W.Q.[Wan-Qiu], Wu, D.C.[Ding-Cheng], Wang, C.Q.[Chang-Qing], Tian, B.M.[Bao-Ming],
Applying Reconstructed Daily Water Storage and Modified Wetness Index to Flood Monitoring: A Case Study in the Yangtze River Basin,
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DOI Link 2307
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Vongkusolkit, J.[Jirapa], Peng, B.[Bo], Wu, M.[Meiliu], Huang, Q.Y.[Qun-Ying], Andresen, C.G.[Christian G.],
Near Real-Time Flood Mapping with Weakly Supervised Machine Learning,
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Rodrigues-da Silva, A.[Alberto], Estima, J.[Jacinto], Marques, J.[Jorge], Gamito, I.[Ivo], Serra, A.[Alexandre], Moura, L.[Leonardo], Ricardo, A.M.[Ana Margarida], Mendes, L.[Luís], Ferreira, R.M.L.[Rui M. L.],
A Web GIS Platform to Modeling, Simulate and Analyze Flood Events: The RiverCure Portal,
IJGI(12), No. 7, 2023, pp. xx-yy.
DOI Link 2308
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Breznik, J.[Jana], Oštir, K.[Krištof], Ivacic, M.[Matjaž], Rak, G.[Gašper],
Water Dynamics Analysis in Karst Flood Areas Using Sentinel-1 Time Series,
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DOI Link 2308
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Hamouda, M.A.[Mohamed A.], Hinge, G.[Gilbert], Yemane, H.S.[Henok S.], Mosteka, H.A.[Hasan Al], Makki, M.[Mohammed], Mohamed, M.M.[Mohamed M.],
Reliability of GPM IMERG Satellite Precipitation Data for Modelling Flash Flood Events in Selected Watersheds in the UAE,
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Stateczny, A.[Andrzej], Praveena, H.D.[Hirald Dwaraka], Krishnappa, R.H.[Ravikiran Hassan], Chythanya, K.R.[Kanegonda Ravi], Babysarojam, B.B.[Beenarani Balakrishnan],
Optimized Deep Learning Model for Flood Detection Using Satellite Images,
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Wu, Y.L.[Yi-Long], Chen, Y.J.[Ying-Jie], Zhang, R.[Rongyu], Cui, Z.F.[Zhen-Fei], Liu, X.[Xinyi], Zhang, J.Y.[Jia-Yi], Wang, M.[Meizhen], Wu, Y.[Yong],
A Spatial Information Extraction Method Based on Multi-Modal Social Media Data: A Case Study on Urban Inundation,
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Using Multi-Spectral Remote Sensing for Flood Mapping: A Case Study in Lake Vembanad, India,
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DOI Link 2311
BibRef

Johary, R.[Rosa], Révillion, C.[Christophe], Catry, T.[Thibault], Alexandre, C.[Cyprien], Mouquet, P.[Pascal], Rakotoniaina, S.[Solofoarisoa], Pennober, G.[Gwenaelle], Rakotondraompiana, S.[Solofo],
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Koutsovili, E.I.[Eleni-Ioanna], Tzoraki, O.[Ourania], Theodossiou, N.[Nicolaos], Tsekouras, G.E.[George E.],
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IJGI(12), No. 11, 2023, pp. xx-yy.
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He, Y.J.[Yong-Jun], Wang, J.F.[Jin-Fei], Zhang, Y.[Ying], Liao, C.H.[Chun-Hua],
An Efficient Urban Flood Mapping Framework Towards Disaster Response Driven by Weakly Supervised Semantic Segmentation with Decoupled Training Samples,
PandRS(207), 2024, pp. 338-358.
Elsevier DOI Code:
WWW Link. 2401
Rapid flood mapping, Weakly supervised semantic segmentation, Sparse label, Tree filtering, Self-distillation, Segment anything model BibRef

Amitrano, D.[Donato], di Martino, G.[Gerardo], di Simone, A.[Alessio], Imperatore, P.[Pasquale],
Flood Detection with SAR: A Review of Techniques and Datasets,
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DOI Link Survey, Flood Detection. 2402
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Giezendanner, J.[Jonathan], Mukherjee, R.[Rohit], Purri, M.[Matthew], Thomas, M.[Mitchell], Mauerman, M.[Max], Saiful Islam, A.K.M., Tellman, B.[Beth],
Inferring the past: a combined CNN-LSTM deep learning framework to fuse satellites for historical inundation mapping,
EarthVision23(2155-2165)
IEEE DOI 2309
BibRef

Le, Q.C.[Quoc-Cuong], Le, M.Q.[Minh-Quan], Tran, M.K.[Mai-Khiem], Le, N.Q.[Ngoc-Quyen], Tran, M.T.[Minh-Triet],
FL-Former: Flood Level Estimation with Vision Transformer for Images from Cameras in Urban Areas,
MMMod23(I: 447-459).
Springer DOI 2304
BibRef

Cerbelaud, A., Roupioz, L., Blanchet, G., Breil, P., Briottet, X.,
Supervised Classification Methods for Automatic Damage Detection Caused By Heavy Rainfall Using Multitemporal High Resolution Optical Imagery And Auxiliary Data,
ISPRS21(B3-2021: 693-700).
DOI Link 2201
BibRef

Losè, L.T.[L. Teppati], Chiabrando, F., Tonolo, F.G.[F. Giulio], Lingua, A.,
UAV Photogrammetry and VHR Satellite Imagery for Emergency Mapping. The October 2020 Flood In Limone Piemonte (Italy),
ISPRS21(B3-2021: 727-734).
DOI Link 2201
BibRef

Jony, R.I.[Rabiul Islam], Woodley, A.[Alan], Perrin, D.[Dimitri],
Fusing Visual Features and Metadata to Detect Flooding in Flickr Images,
DICTA20(1-8)
IEEE DOI 2201
Visualization, Social networking (online), Multimedia Web sites, Metadata, Feature extraction, Computational efficiency, Floods, Information retrieval BibRef

Muckley, L.[Leo], Garforth, J.[James],
Multi-input Convlstm for Flood Extent Prediction,
MAES20(75-85).
Springer DOI 2103
BibRef

Barz, B.[Björn], Schröter, K.[Kai], Kra, A.C.[Ann-Christin], Denzler, J.[Joachim],
Finding Relevant Flood Images on Twitter Using Content-based Filters,
MAES20(5-14).
Springer DOI 2103
BibRef

Said, A.[Abdullah], Shaat, O.[Omar], Su, P.H.[Po-Hsuan], Bogden, P.[Philip], Kraig, R.[Robert], Bosch, M.[Marc],
Understanding Flooding Detection Using Overhead Imagery - Lessons Learned,
ISVC20(I:696-706).
Springer DOI 2103
BibRef

Kapilaratne, R.G.C.J., Kaneta, S.,
Towards An Automated Flood Area Extraction From High Resolution Satellite Images,
ISPRS20(B3:97-104).
DOI Link 2012
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Sipelgas, L., Aavaste, A., Uiboupin, R.,
Mapping Recurrent Flooding Zone Along Estonian Inland Waters From Sentinel-1 and -2,
ISPRS20(B3:627-632).
DOI Link 2012
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Tavus, B., Kocaman, S., Nefeslioglu, H.A., Gokceoglu, C.,
A Fusion Approach for Flood Mapping Using Sentinel-1 and Sentinel-2 Datasets,
ISPRS20(B3:641-648).
DOI Link 2012
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Thakur, P.K., Ranjan, R., Singh, S., Dhote, P.R., Sharma, V., Srivastav, V., Dhasmana, M., Aggarwal, S.P., Chauhan, P., Nikam, B.R., Garg, V., Chouksey, A.,
Synergistic Use of Remote Sensing, GIS and Hydrological Models For Study of August 2018 Kerala Floods,
ISPRS20(B3:1263-1270).
DOI Link 2012
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Bonafilia, D., Tellman, B., Anderson, T., Issenberg, E.,
Sen1Floods11: a georeferenced dataset to train and test deep learning flood algorithms for Sentinel-1,
EarthVision20(835-845)
IEEE DOI 2008
Remote sensing, Earth, Artificial satellites, Training, Data models, Sensors, Machine learning BibRef

Otieno, O.M., Abdillahi, H.S., Wambui, E.M., Kiprono, K.S.,
Flood Impact-based Forecasting for Early Warning and Early Action In Tana River Basin, Kenya,
Gi4DM19(293-300).
DOI Link 1912
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Panidi, E., Popova, K., Tsepelev, V.,
GIS-based Mapping of Estimated Flood Inundation Area, Geometrical Aspect,
Gi4DM19(307-309).
DOI Link 1912
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Toshiharu, K., Narantsetseg, C.,
Long Term Changes in Flooding Around Gifu City,
Gi4DM19(421-427).
DOI Link 1912
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Zelentsov, V.A., Potryasaev, S.A., Pimanov, I.Y., Ponomarenko, M.R.,
Integrated Use of GIS, Remote Sensing Data and a Set of Models For Operational Flood Forecasting,
Gi4DM19(477-483).
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Sunar, A.F., Yagmur, N., Dervisoglu, A.,
Flood Analysis With Remote Sensing Data - a Case Study: Maritsa River, Edirne,
Gi4DM19(497-502).
DOI Link 1912
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Bibi, T., Nawaz, F., Abdul Rahman, A., Latif, A.,
Flood Hazard Assessment Using Participatory Approach and Weighted Overlay Methods,
GGT19(153-160).
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Kaoje, I.U., Abdul Rahman, M.Z., Tam, T.H., Mohd Salleh, M.R.,
An Indicator-based Approach for Micro-scale Physical Flood Vulnerability Mapping,
GGT19(331-337).
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Lahsaini, M., Tabyaoui, H., El Hammichi, F.,
Big Data Processing and Analysis Using Multi-temporal Sentinel 1 Data To Manage Floods in North of Morocco,
GGT19(359-363).
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Khalifeh Soltanian, F., Abbasi, M., Riyahi Bakhtyari, H.R.,
Flood Monitoring Using Ndwi and Mndwi Spectral Indices: a Case Study Of Aghqala Flood-2019, Golestan Province, Iran,
SMPR19(605-607).
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Pouyanfar, S., Tao, Y., Sadiq, S., Tian, H., Tu, Y., Wang, T., Chen, S., Shyu, M.,
Unconstrained Flood Event Detection Using Adversarial Data Augmentation,
ICIP19(155-159)
IEEE DOI 1910
Flood event detection, deep learning, style transfer, generative adversarial networks BibRef

Kumar, K., Ledoux, H., Stoter, J.,
Dynamic 3D Visualization of Floods: Case of the Netherlands,
GeoInfo18(83-87).
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Wu, Y., Liu, Z., Xu, W., Feng, J., Palaiahnakote, S., Lu, T.,
Context-Aware Attention LSTM Network for Flood Prediction,
ICPR18(1301-1306)
IEEE DOI 1812
Context modeling, Rivers, Predictive models, Training, Hydrology, Support vector machines BibRef

Wu, Y.R.[Yi-Rui], Xu, W.G.[Wei-Gang], Yu, Q.H.[Qing-Han], Feng, J.[Jun], Lu, T.[Tong],
Hierarchical Bayesian Network Based Incremental Model for Flood Prediction,
MMMod19(I:556-566).
Springer DOI 1901
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Wu, Y.R.[Yi-Rui], Xu, W.G.[Wei-Gang], Feng, J.[Jun], Palaiahnakote, S., Lu, T.[Tong],
Local and Global Bayesian Network based Model for Flood Prediction,
ICPR18(225-230)
IEEE DOI 1812
Hydrology, Bayes methods, Rivers, Predictive models, Robustness, Data models, Computational modeling BibRef

de O. Werneck, R.[Rafael], Dourado, I.C.[Icaro C.], Fadel, S.G.[Samuel G.], Tabbone, S.[Salvatore], da Silva Torres, R.[Ricardo],
Graph-Based Early-Fusion for Flood Detection,
ICIP18(1048-1052)
IEEE DOI 1809
Feature extraction, Social network services, Visualization, Principal component analysis, Monitoring, Streaming media, image representation BibRef

Boori, M.S., Choudhary, K., Evers, M., Kupriyanov, A.,
Food Vulnerability And Alluvial Farming for Food Security in Central Dry Zone Area of Myanmar,
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Tehrany, M.S., Jones, S.,
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GeoDisast17(209-214).
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Cruz-Bello, G.M., Alfie-Cohen, M., Morales-Zaragoza, N.A., Larralde-Corona, A.H., Reyes Perez, J.,
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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,
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Zakaria, S., Mahadi, M.R., Abdullah, A.F., Abdan, K.,
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Ichim, L.[Loretta], Popescu, D.[Dan],
Combining Color Fractal with LBP Information for Flood Segmentation in UAV-Based Images,
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Sarker, C., Alvarez, L.M., Woodley, A.,
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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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Lateral Flooding Associated To Wave Flood Generation On River Surface,
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WSSIP15(105-108)
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floods BibRef

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UAV Linear Photogrammetry,
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And:
UAV Photogrammetry to Monitor Dykes: Calibration and Comparison to Terrestrial Lidar,
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Abdullah, A.F.[Ahmad Fikri], Rahman, A.A.[Alias Abdul], Vojinovic, Z.[Zoran],
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Haile, A.T.[A. Tamiru], Rientjes, T.H.M.,
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Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
SAR and Radar for Flood Analysis, Flood Mapping, Flood Monitoring .


Last update:Mar 16, 2024 at 20:36:19