A Quantitative Framework for Analyzing Spatial Dynamics of Flood Events: A Case Study of Super Cyclone Amphan

[1]  Alexander A. Sawchuk,et al.  Adaptive restoration of images with speckle , 1987, IEEE Trans. Acoust. Speech Signal Process..

[2]  Samuel Foucher,et al.  Analysis, Evaluation, and Comparison of Polarimetric SAR Speckle Filtering Techniques , 2014, IEEE Transactions on Image Processing.

[3]  S. Myint,et al.  A comparison of spatial autocorrelation indices and landscape metrics in measuring urban landscape fragmentation , 2014 .

[4]  Dan Wang,et al.  Measuring and mapping the flood vulnerability based on land-use patterns: a case study of Beijing, China , 2016, Natural Hazards.

[5]  F. Dottori,et al.  Detailed data is welcome, but with a pinch of salt: Accuracy, precision, and uncertainty in flood inundation modeling , 2013 .

[6]  Ioannis Manakos,et al.  Fast and Automatic Data-Driven Thresholding for Inundation Mapping with Sentinel-2 Data , 2018, Remote. Sens..

[7]  Praveen K. Thakur,et al.  Detecting, mapping and analysing of flood water propagation using synthetic aperture radar (SAR) satellite data and GIS: A case study from the Kendrapara District of Orissa State of India , 2017, The Egyptian Journal of Remote Sensing and Space Science.

[8]  Yuan Li,et al.  Flood mapping under vegetation using single SAR acquisitions , 2019, Remote Sensing of Environment.

[9]  Victor S. Frost,et al.  A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplicative Noise , 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[10]  Shiyong Cui,et al.  Data Analytics for Rapid Mapping: Case Study of a Flooding Event in Germany and the Tsunami in Japan Using Very High Resolution SAR Images , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[11]  Malcolm Davidson,et al.  GMES Sentinel-1 mission , 2012 .

[12]  Di Liu,et al.  A Support Vector Machine-Based Particle Filter Method for Improved Flooding Classification , 2015, IEEE Geoscience and Remote Sensing Letters.

[13]  Riadh Abdelfattah,et al.  Flood Mapping in a Complex Environment Using Bistatic TanDEM-X/TerraSAR-X InSAR Coherence , 2018, Remote. Sens..

[14]  Chengquan Huang,et al.  Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine , 2020 .

[15]  Diansheng Guo,et al.  A novel approach to leveraging social media for rapid flood mapping: a case study of the 2015 South Carolina floods , 2018 .

[16]  Andy Hardy,et al.  Tropical Wetland (TropWet) Mapping Tool: The Automatic Detection of Open and Vegetated Waterbodies in Google Earth Engine for Tropical Wetlands , 2020, Remote. Sens..

[17]  S. Khandker Coping with flood: role of institutions in Bangladesh , 2007 .

[18]  C.-C. Kuo,et al.  Flood mapping of Danube River at Romania using single and multi-date ERS2-SAR images , 2012, Int. J. Appl. Earth Obs. Geoinformation.

[19]  Mustafa Neamah Jebur,et al.  Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS , 2014 .

[20]  Tawatchai Tingsanchali,et al.  Flood hazard and risk analysis in the southwest region of Bangladesh , 2005 .

[21]  Simon Plank,et al.  The Use of Sentinel-1 Time-Series Data to Improve Flood Monitoring in Arid Areas , 2018, Remote. Sens..

[22]  C. Hackney,et al.  Hydrological/Hydraulic Modeling-Based Thresholding of Multi SAR Remote Sensing Data for Flood Monitoring in Regions of the Vietnamese Lower Mekong River Basin , 2019, Water.

[23]  Jong-Sen Lee,et al.  Digital Image Enhancement and Noise Filtering by Use of Local Statistics , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[24]  M. Islam,et al.  Development of flood hazard maps of Bangladesh using NOAA-AVHRR images with GIS , 2000 .

[25]  Federico Filipponi,et al.  Sentinel-1 GRD Preprocessing Workflow , 2019, Proceedings.

[26]  City storm-flood events in China, 1984–2015 , 2018, International Journal of Water Resources Development.

[27]  Arun K. Saraf,et al.  Flood inundation mapping using NOAA AVHRR data , 2006 .

[28]  Youngjoo Kwak,et al.  Nationwide Flood Monitoring for Disaster Risk Reduction Using Multiple Satellite Data , 2017, ISPRS Int. J. Geo Inf..

[29]  Vikas Kumar Rana,et al.  Evaluation of SAR speckle filter technique for inundation mapping , 2019, Remote Sensing Applications: Society and Environment.

[30]  J. Ord,et al.  Local Spatial Autocorrelation Statistics: Distributional Issues and an Application , 2010 .

[31]  Massimo Menenti,et al.  A Spectral Unmixing Method with Ensemble Estimation of Endmembers: Application to Flood Mapping in the Caprivi Floodplain , 2017, Remote. Sens..

[32]  V. Merwade,et al.  Uncertainty Quantification in Flood Inundation Mapping Using Generalized Likelihood Uncertainty Estimate and Sensitivity Analysis , 2012 .

[33]  J. D. Bales,et al.  Sources of uncertainty in flood inundation maps , 2009 .

[34]  A. Islam,et al.  Flood inundation map of Bangladesh using MODIS time‐series images , 2010 .

[35]  Clara Chew,et al.  CYGNSS data map flood inundation during the 2017 Atlantic hurricane season , 2018, Scientific Reports.

[36]  Simon Plank,et al.  Rapid Damage Assessment by Means of Multi-Temporal SAR - A Comprehensive Review and Outlook to Sentinel-1 , 2014, Remote. Sens..

[37]  B. Paul Flood research in Bangladesh in retrospect and prospect: a review , 1997 .

[38]  T. Hermassi,et al.  Flood mapping using hydraulic modeling and Sentinel-1 image: Case study of Medjerda Basin, northern Tunisia , 2020 .

[39]  Michael Dixon,et al.  Google Earth Engine: Planetary-scale geospatial analysis for everyone , 2017 .

[40]  Terrence Fong,et al.  Automatic boosted flood mapping from satellite data , 2016, International journal of remote sensing.

[41]  Marco Chini,et al.  Probabilistic mapping of flood-induced backscatter changes in SAR time series , 2017, Int. J. Appl. Earth Obs. Geoinformation.

[42]  Emmanouil N. Anagnostou,et al.  Inundation Extent Mapping by Synthetic Aperture Radar: A Review , 2019, Remote. Sens..

[43]  Xixi Lu,et al.  Application of Remote Sensing in Flood Management with Special Reference to Monsoon Asia: A Review , 2004 .

[44]  Yanguang Chen,et al.  New Approaches for Calculating Moran’s Index of Spatial Autocorrelation , 2013, PloS one.

[45]  Jidong Wu,et al.  Building Asset Value Mapping in Support of Flood Risk Assessments: A Case Study of Shanghai, China , 2019, Sustainability.

[46]  Shivam,et al.  Flood inundation mapping and monitoring using SAR data and its impact on Ramganga River in Ganga basin , 2019, Environmental Monitoring and Assessment.

[47]  Venkatesh Merwade,et al.  Uncertainty in Flood Inundation Mapping: Current Issues and Future Directions , 2008 .

[48]  Jouni Pulliainen,et al.  Implications of boreal forest stand characteristics for X-band SAR flood mapping accuracy , 2016 .

[49]  T. Santos,et al.  Improving Flood Risk Management in the City of Lisbon: Developing a Detailed and Updated Map of Imperviousness Using Satellite Imagery , 2013 .

[50]  A. Getis The Analysis of Spatial Association by Use of Distance Statistics , 2010 .

[51]  N. L. Frank,et al.  The Deadliest Tropical Cyclone in History , 1971 .

[52]  Ioana Popescu,et al.  A review of applications of satellite SAR, optical, altimetry and DEM data for surface water modelling, mapping and parameter estimation , 2015 .

[53]  Penghai Wu,et al.  A Review on Recent Developments in Fully Polarimetric SAR Image Despeckling , 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[54]  Franz J. Meyer,et al.  Operational Flood Mapping Using Multi-Temporal Sentinel-1 SAR Images: A Case Study from Bangladesh , 2019, Remote. Sens..

[55]  Maurizio Mazzoleni,et al.  Flood Inundation Mapping of the Sparsely Gauged Large-Scale Brahmaputra Basin Using Remote Sensing Products , 2019, Remote. Sens..

[56]  Y. Hong,et al.  Towards high resolution flood monitoring: An integrated methodology using passive microwave brightness temperatures and Sentinel synthetic aperture radar imagery , 2020 .

[57]  Sergey V. Samsonov,et al.  A review of the status of satellite remote sensing and image processing techniques for mapping natural hazards and disasters , 2009 .

[58]  Kwok-wing Chau,et al.  Flood Prediction Using Machine Learning Models: Literature Review , 2018, Water.

[59]  Feng Wang,et al.  Flood Detection in Gaofen-3 SAR Images via Fully Convolutional Networks , 2018, Sensors.

[60]  Kavita Shah,et al.  Floodplain Mapping through Support Vector Machine and Optical/Infrared Images from Landsat 8 OLI/TIRS Sensors: Case Study from Varanasi , 2017, Water Resources Management.

[61]  Jianzhong Lu,et al.  Operational Monitoring and Damage Assessment of Riverine Flood-2014 in The Lower Chenab Plain, Punjab, Pakistan, Using Remote Sensing and GIS Techniques , 2020, Remote. Sens..

[62]  Ali Soltani,et al.  Exploring spatial autocorrelation of traffic crashes based on severity. , 2017, Injury.

[63]  I. White,et al.  Beyond ‘just’ flood risk management: the potential for—and limits to—alleviating flood disadvantage , 2018, Regional Environmental Change.

[64]  F. Blasco,et al.  Estimating the extent of floods in Bangladesh using SPOT data , 1992 .

[65]  Michael E. Schaepman,et al.  Sentinels for science: potential of Sentinel-1, -2, and -3 missions for scientific observations of ocean, cryosphere, and land , 2012 .

[66]  L. S. Davis,et al.  An assessment of support vector machines for land cover classi(cid:142) cation , 2002 .

[67]  Quazi K. Hassan,et al.  Use of remote sensing data in comprehending an extremely unusual flooding event over southwest Bangladesh , 2017, Natural Hazards.

[68]  Sani Isah Abba,et al.  Flash-Flood Susceptibility Assessment Using Multi-Criteria Decision Making and Machine Learning Supported by Remote Sensing and GIS Techniques , 2019, Remote. Sens..

[69]  Thomas Blaschke,et al.  Spatial vulnerability assessment of floods in the coastal regions of Bangladesh , 2015 .

[70]  A. D. Diez Roux,et al.  Exploring racial disparities in CHD mortality between blacks and whites across the United States: a geographically weighted regression approach. , 2012, Health & place.

[71]  Frédéric Maire,et al.  Flood Mapping with Convolutional Neural Networks Using Spatio-Contextual Pixel Information , 2019, Remote. Sens..

[72]  Dong Ha Lee,et al.  Evaluation of Water Indices for Surface Water Extraction in a Landsat 8 Scene of Nepal , 2018, Sensors.

[73]  Malcolm Davidson,et al.  Sentinel-1 System capabilities and applications , 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

[74]  Onisimo Mutanga,et al.  A quantitative framework for analysing long term spatial clustering and vegetation fragmentation in an urban landscape using multi-temporal landsat data , 2020, Int. J. Appl. Earth Obs. Geoinformation.

[75]  Pijush Samui,et al.  A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area. , 2019, The Science of the total environment.

[76]  Yang Hong,et al.  Mapping Flash Flood Severity in the United States , 2015 .

[77]  S. Burges ANALYSIS OF UNCERTAINTY IN FLOOD PLAIN MAPPING , 1979 .

[78]  Michael Berger,et al.  Preface: The Sentinel missions—new opportunities for science , 2012 .

[79]  Biswajeet Pradhan,et al.  Assessing Spatial Flood Vulnerability at Kalapara Upazila in Bangladesh Using an Analytic Hierarchy Process , 2019, Sensors.

[80]  Francisco Carreño Conde,et al.  Flood Monitoring Based on the Study of Sentinel-1 SAR Images: The Ebro River Case Study , 2019, Water.

[81]  N. Anusha,et al.  Flood detection and flood mapping using multi-temporal synthetic aperture radar and optical data , 2020 .

[82]  E. Nezry,et al.  Adaptive speckle filters and scene heterogeneity , 1990 .

[83]  Ralf Ludwig,et al.  An automatic change detection approach for rapid flood mapping in Sentinel-1 SAR data , 2018, Int. J. Appl. Earth Obs. Geoinformation.

[84]  Ya Tang,et al.  Outlier identification and visualization for Pb concentrations in urban soils and its implications for identification of potential contaminated land. , 2009, Environmental pollution.

[85]  H. Nagendra,et al.  Land cover change and landscape fragmentation—comparing the utility of continuous and discrete analyses for a western Honduras region , 2004 .

[86]  Fabiana Calò,et al.  Potentiality and Limitations of Open Satellite Data for Flood Mapping , 2018 .

[87]  Megan Mehaffey,et al.  Development of a spatially complete floodplain map of the conterminous United States using random forest , 2018, The Science of the total environment.

[88]  Simon Plank,et al.  Sentinel-1-based flood mapping: a fully automated processing chain , 2016 .

[89]  H. Lyu,et al.  Analysis and GIS Mapping of Flooding Hazards on 10 May 2016, Guangzhou, China , 2016 .

[90]  C. Kilsby,et al.  Multi‐temporal synthetic aperture radar flood mapping using change detection , 2018 .

[91]  Masoud Mahdianpari,et al.  Google Earth Engine for geo-big data applications: A meta-analysis and systematic review , 2020 .

[92]  Thanh Dang,et al.  Accounting for Uncertainty and Reconstruction of Flooding Patterns Based on Multi-Satellite Imagery and Support Vector Machine Technique: A Case Study of Can Tho City, Vietnam , 2020, Water.

[93]  Mahyat Shafapour Tehrany,et al.  Flood susceptibility assessment using GIS-based support vector machine model with different kernel types , 2015 .

[94]  R Dietze,et al.  Spatial patterns of pulmonary tuberculosis incidence and their relationship to socio-economic status in Vitoria, Brazil. , 2010, The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease.

[95]  L. Anselin Local Indicators of Spatial Association—LISA , 2010 .

[96]  Raffaella Guida,et al.  A Novel Fully Automated Mapping of the Flood Extent on SAR Images Using a Supervised Classifier , 2019, Remote. Sens..

[97]  H. Brammer,et al.  Floods in Bangladesh II. Flood mitigation and environmental aspects , 1990 .

[98]  Wolfgang Schwanghart,et al.  Detection and Delineation of Localized Flooding from WorldView-2 Multispectral Data , 2015, Remote. Sens..

[99]  Hiroshi Matsuyama,et al.  Flood monitoring, mapping and assessing capabilities using RADARSAT remote sensing, GIS and ground data for Bangladesh , 2011 .

[100]  P. Coulibaly,et al.  Flood Inundation Mapping in an Ungauged Basin , 2020, Water.