SAR image analysis techniques for flood area mapping - literature survey

Bazi Y, Bruzzone L, Melgani F (2005) An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images. IEEE Trans Geosci Remote Sens 43(4):874–887

Benz U, Hofmann P, Wilhauck G, Lingenfelder I, Heynen M (2004) Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information. ISPRS J Photogramm Remote Sens 58(3–4):239–258

Bhatt CM (2014) Near real time flood mapping and monitoring, ISPRS-2014, PreSymposium Tutorials on Flood Monitoring and Modeling, Retrieved from www.nrsc.gov.in/isprs/pdf/3.ISPRS_FloodMappingMonitoring.pdf

Bhatt CM, Srinivasa Rao G, Begum A, Manjusree P, Sharma SVSP, Prasanna L, Bhanumurthy V (2013) Satellite images for extraction of flood disaster footprints and assessing the disaster impact: Brahmaputra floods of June–July 2012, Assam, India. Curr Sci 104(12):1692–1700

Borghys D, Yvinec Y, Perneel C, Pizurica A, Philips W (2006) Supervised feature-based classification of multi-channel SAR images. Pattern Recogn Lett 27(4):252–258

Bovolo F, Bruzzone L (2007) A split-based approach to unsupervised change detection in large-size multitemporal images: application to tsunami-damage assessment. IEEE Trans Geosci Remote Sens 45(6):1658–1670. doi: 10.1109/TRGS.2007.895835

Buck CH, Monni S (2000) Application of SAR interferometry to flood damage assessment. Proceedings of the Committee on Earth Observation Satellites SAR Workshop, Toulouse, France, SP-450. Retrieved from http://adsabs.harvard.edu/full/2000ESASP.450..473B

De Roo A, Van der Knijff J, Horritt MS, Schmuck G, De Jong S (1999) Assessing flood damages of the 1997 Oder flood and the 1995 Meuse flood. Proceedings of the 2nd International Symposium on Operationalisation of Remote Sensing, Enschede, The Netherlands. 3459-3465

Dellepiane S, Monni S, Bo G, Buck C (2000) SAR images and interferometric coherence for flood monitoring. Proceedings of the IEEE Geoscience and Remote Sensing Symposium, Honolulu, Hawaii, USA, 2608–2610

Townsend and Foster (2002) Assessing flooding and vegetation structure in forested wetlands using Radarsat SAR imagery, IEEE International Geoscience and Remote Sensing Symposium, IGARSS-2002, 2, 171–1173, Toronto, Canada, June 24-28, 2002

Giordano F, Goccia M, Dellepiane S (2005) Segmentation of coherence maps for flood damage assessment. IEEE International Conference on Image Processing, ICIP-2005, Sept. 11-14, 2005. Genova, Italy, IEEE 2, 233–236. doi: 10.1109/ICIP.2005.1530034

Gstaiger V, Huth J, Gebhardt S, Wehrmann T, Kuenzer C (2012) Multi-sensoral and automated derivation of inundated areas using TerraSAR-X and ENVISAT ASAR data. Int J Remote Sens 33(22):7291–7304

Guo H (2000) Spaceborne and airborne SAR for target detection and flood monitoring. Photogramm Eng Remote Sens 66(5):611–617

Haykin S (1999) Neural networks: a comprehensive foundation. Prentice Hall, New Jersey

Henderson FM (1987) Consistency of open surface detection with L-band SEASAT SAR imagery and confusion with other hydrologic features. Proceedings of the 13th Annual Conference of Remote Sensing Society, University of Nottingham, UK, 69–78

Heremans R, Willekens A, Borghys D, Verbeeck B., Valckenborgh J, Acheroy M, Perneel C (2003) Automatic detection of flooded areas on ENVISAT/ASAR images using an object-oriented classification technique and an active contour algorithm. Proceedings of International Conference on Recent Advances in Space Technologies, RAST -2003, Istanbul, Turkey, 0-22 Nov. 2003, IEEE 311–316. doi: 10.1109/RAST.2003.1303926

Herrera-Cruz V, Koudogbo F (2009) TerraSAR-X Rapid mapping for flood events. Proceedings of the International Society for Photogrammetry and Remote Sensing, Earth Imaging for Geospatial Information, Hannover, Germany, 170–175

Hess LL, Melack JM (1994) Mapping wetland hydrology and vegetation with synthetic aperture radar. Int J Ecol Environ Sci 20:197–205

Hess LL, Melack JM (2003) Remote sensing of vegetation and flooding on Magela Creek floodplain (Northern Territory, Australia) with the SIR-C synthetic aperture radar. – Hydrobiologia, 500, 65–82

Hess LL, Melack JM, Simonett DS (1990) Radar detection of flooding beneath the forest canopy: a review. Int J Remote Sens 11(7):1313–1325

Hess LL, Melack JM, Filoso S, Wang Y (1995) Delineation of inundated areas and vegetation along the Amazon floodplain with SIR-C synthetic aperture radar. IEEE Trans Geosci Remote Sens 33(4):896–904

Hess LL, Melack JM, Novo EMLM, Barbosa CCF, Gastil M (2003) Dual season mapping of wetland inundation and vegetation for the central Amazon basin. Remote Sens Environ 87:404–428

Hirose K, Maruyama, Y, Quy, D-V, Tsukada M, Shiokawa Y (2001) Visualization of flood monitoring in the lower reaches of the Mekong River. Proceeding of 22nd Asian Conference on Remote Sensing, 1, 314-319, Nov. 5-9 2001, Singapore

Horritt S (1999) A statistical active contour model for SAR image segmentation. Image Vis Comput 17(3–4):213–224. doi: 10.1016/S0262-8856(98)00101-2

Horritt MS (2000) Calibration of a two-dimensional finite element flood flow model using satellite radar imagery. Water Resour Res 36 (11): 3279–3291. Retrieved from http://onlinelibrary.wiley.com/doi/ 10.1029/2000WR900206/pdf

Horritt MS (2006) A methodology for the validation of uncertain flood inundation models. J Hydrol 326(1–4):153–165

Horritt MS, Mason DC, Luckman AJ (2001) Flood boundary delineation from synthetic aperture radar imagery using a statistical active contour model. Int J Remote Sens 22(13):2489–2507. doi: 10.1080/01431160116902

Horritt MS, Mason DC, Cobby DM, Davenport IJ, Bates P (2003) Waterline mapping in flooded vegetation from airborne SAR imagery. Remote Sens Environ 85:271–281

Ivins J, Porill J (1995) Active region models for segmenting textures and colours. Image Vis Comput 13(5):431–438

Kass M, Witkin A, Terzopoulos D (1988) Snakes: active contour models. Int J Comput Vis 1(4):321–331

Killler J, Illingworth J (1986) J minimum error thresholding. Pattern Recogn 19(1):41–47

Kohonen T (1995) Self-organizing maps, 3rd edn. Springer, Heidelberg

Kussul N, Shelestov A, Skakun S, Kravchenko O (2008a) Data assimilation technique for flood monitoring and prediction. Int J Inf Theor Appl 15(1):76–82

Kussul N, Shelestov A, Skakun S (2008b) Grid system for flood extent extraction from satellite images. Earth Sci Inf 1(3–4):105–117. doi: 10.1007/s12145-008-0014-3

Kussul N, Shelestov A, Skakun S, Li G (2008b) Inter grid test bed for flood monitoring. Geophys Res Abstr, 10. doi: EGU2008-A-00385

Kussul N, Shelestov A, Skakun S (2008c) Intelligent Computations for flood monitoring. International Journal of Advanced Research in Artificial Intelligence, Book 2 Advanced Research in Artificial Intelligence, Retrieved from http://hdl.handle.net/10525/1029

Kussul N, Shelestov A, Skakun S (2009) Grid and sensor web technologies for environmental monitoring. Earth Sci Inf 2:37–51

Li J, Chen W, Touzi R (2007) Optimum RADARSAT-1 configurations for wetlands discrimination: a case study of the Mer Bleue peat bog. Can J Remote Sens 33(Suppl 1):S46–S55. doi: 10.5589/m07-046

Lohmann G (1991) An evidential reasoning approach to the classification of satellite images, Part of lecture notes in computer science, Symbolic and Quantitative Approached to uncertainty. In: Kruse R, Siegel P (ed) Proceedings of European conference ECSQAU, Marseille, France, October 1991, 227 – 231

Malnes E, Guneriussen T, Høgda KA (2002) Mapping of flood-area by RADARSAT in Vannsjø, Norway. Proceedings of the 29th International Symposium on Remote Sensing of the Environment, Buenos Aires, Argentina. Retrieved with permission from www.researchgate.net

Manavalan, Rao YS (2014) DEM and SAR image based flood feature extraction techniques to map the deep and shallow flood inundated regions of known as well as remote disaster regions. Geocarto Int 29(7):745–757

Marinelli L, Michel R, Beaudoin A, Astier, J (1997) Flood mapping using ERS tandem coherence image: a case study in south France. – Proceedings of the 3rd ERS Symposium, Florence, Italy, 531–536. Retrieved with permission from www.researchgate.net

Martinis S (2010) Automatic near real-time flood detection in high resolution X-band synthetic aperture radar satellite data using context-based classification on irregular graphs, Dissertation of der Fakultät für Geowissenschaften, der Ludwig-Maximilians-Universität München, Germany

Martinis S, Rieke C (2015) Backscatter analysis using multi-temporal and multi-frequency SAR data in the context of flood mapping at river Saale. Ger Open Access J Remote Sens 7:7732–7752. doi: 10.3390/rs70607732

Martinis S, Twele A, Voigt S (2009) Towards operational near real-time flood detection using a split-based automatic thresholding procedure on high resolution TerraSAR-X data. J Nat Hazards Earth Syst Sci 19:303–314

Martinis S, Twele A, Voigt S (2011) Unsupervised extraction of flood-induced backscatter changes in SAR data using markov image modeling on irregular graphs. IEEE Trans Geosci Remote Sens 49:251–263

Martinis S, Kersten J, Twele A (2015) A fully automated TerraSAR-X based flood service. ISPRS J Photogramm Remote Sens 104:203–212

Mason DC, Davenport IJ (1996) Accurate and efficient determination of the shoreline in ERS-1 images. IEEE Trans Geosci Remote Sens 34(5):1243–1253

Mason DC, Horritt MS, Dall’Amico JT, Scott TR, Bates PD (2007) Improving river flood extent delineation from synthetic aperture radar using airborne laser altimetry. IEEE Trans Geosci Remote Sens 45(12):3932–3943

Mason DC, Speck R, Devereux B, Schumann GJP, Nea JC, Bates PD (2010) Flood detection in urban areas using TerraSAR-X. IEEE Trans Geosci Remote Sens 48(2):882–894

Mason DC, Schumann GJP, Neal JC, Garcia-Pintado J, Bates PD (2012) Automatic near real-time selection of flood water levels from high resolution Synthetic Aperture Radar images for assimilation into hydraulic models: a case study. Remote Sens Environ 124:705–716

Matgen P, Schumann G, Henry JB, Hoffmann L, Pfister L (2007) Integration of SAR derived river inundation areas, high precision topographic data and a river flow model toward near real-time flood management. Int J Appl Earth Obs Geoinf 9(3):247–263

McMillan A, Morley JG, Adams BJ, Chesworth S (2006) Identifying optimal SAR imagery specifications for urban flood monitoring: a hurricane Katrina case study. Proceedings of 4th International Workshop on Remote Sensing for Disaster Response, Cambridge University, England, Sept. 25-26, 2006. Retrieved with permission from www.researchgate.net

Nico G, Pappalepore M, Pasquariello G, Refice S, Samarelli S (2000) Comparison of SAR amplitude vs. coherence flood detection methods – a GIS application. Int J Remote Sens 21(8):1619–1631

Oberstadler R, Hoè Nsch H, Huth D (1997) Assessment of the mapping capabilities of ERS-1 SAR data for flood mapping: a case study in Germany. Hydrol Process 11:1415–1425

Parmuchi MG, Karszenbaum H, Kandus K (2002) Mapping wetlands using multi-temporal RADARSAT-1 data and a decision-based Classifier. Can J Remote Sens 28(2):175–186

Peng W, Pan C, Prinet V (2004) Unsuperived change detection for flood analysis in SAR images. Proceedings of the 6th Asian Conference on Computer Vision, Jeju Island, Korea, 652–657

Pierdicca L, Pulvirenti N, Chini M, Guerriero L, Candela L (2013) Observing floods from space: experience gained from COSMO-SkyMed observations. Acta Astronaut 84:122–133

Puech C, Hostache R, Raclot, Matgen P (2007) Estimation of flood water levels by merging DTM and satellite imagery using hydraulics laws through AI to enhance the estimates. Hydrospace, Geneva, Nov. 12-14, 2007. Retrieved from http://earth.esa.int/hydrospace07/participants/77039/pres_77039.pdf

Pulvirenti L, Pierdicca N, Chini M (2010) Analysis of Cosmo-SkyMed observations of the 2008 flood in Myanmar. Ital J Remote Sens 42(1):79–90

Pulvirenti L, Chini M, Pierdicca L, Guerriero L, Ferrazzoli P (2011a) Flood monitoring using multi-temporal COSMO-SkyMed data: Image segmentation and signature interpretation. Remote Sens Environ 115(4):990–1002

Pulvirenti L, Pierdicca L, Chini M, Guerriero L (2011b) An algorithm for operational flood mapping from Synthetic Aperture Radar (SAR) data using fuzzy logic. Nat Hazards Earth Syst Sci 11:529–540. doi: 10.5194/nhess-11-529-2011

Pulvirenti L, Pierdicca N, Guerriero L (2013) Monitoring flood evolution in vegetated areas using COSMO-SkyMed data: the Tuscany 2009 case study. IEEE J Sel Top Appl Earth Obs Remote Sens 6(4):1939–1404

Rémi A, Hervé Y (2007) Large scale change detection techniques dedicated to flood monitoring using ENVISAT Wide Swath mode data. Proceedings of the ENVISAT Symposium 2007, Montreux, Switzerland, SP-636. Retrieved with permission from www.researchgate.net

Rennó CD, Nobre AD, Cuartas LA, Soares JAV, Hodnett MG, Tomasella J, Waterloo MJ (2008) HAND, a new terrain descriptor using SRTMDEM: mapping terra-firme rainforest environments in Amazonia. Remote Sens Environ 112(9):3469–3481

Sanyal J, Lu XX (2003) Application of remote sensing in flood management with special reference to Monsoon Asia: a Review. Nat Hazards 33:283–301

Schlaffer S, Matgen P, Hollaus M, Wagner W (2015) Flood detection from multi-temporal SAR data using harmonic analysis and change detection. Int J Appl Earth Obs Geoinf 38:15–24

Song Y-S, Sohn H-G, Park C-H (2007) Efficient water area classification using RADARSAT-1 SAR Imagery in a high relief mountainous environment. Photogramm Eng Remote Sens 73(3):285–296

Tan Q, Bi S, Hu J, Liu Z (2004) Measuring lake water level using multi-source remote sensing images combined with hydrological statistical data. IEEE Geoscience and Remote Sensing Symposium, IGARSS-2004, 7, 4885–4888. Anchorage, AK, Sept. 20-24, 2004. doi: 10.1109/IGARSS.2004.1370258

Townsend PA (2001) Mapping seasonal flooding in forested wetlands using multi-temporal Radarsat SAR. Photogramm Eng Remote Sens 67(7):857–864

Townsend PA (2002) Estimating forest structure in wetlands using multitemporal SAR. Remote Sens Environ 79(2-3):288–304

Townsend PA, Walsh SJ (1998) Modelling flood plain inundation using integrated GIS with radar and optical remote sensing. Geomorphology 21(3–4):295–312

Toyra J, Pietroniro A, Martz LW, Prowse TD (2002) A multi-sensor approach to wetland flood monitoring. Hydrol Process 16(8):1569–1581. doi: 10.1002/hyp.1021

Tso B, Olsen C (2005) Combining spectral and spatial information into hidden Markov models for unsupervised image classification. Int J Remote Sens 26(10):2113–2133

Voormansik K, Praks J, Antropov O, Jagomagi J, Zalite K (2014) Flood mapping with TerraSAR-X in forested regions in Estonia. IEEE J Sel Top Appl Earth Obs Remote Sens 7(2):562–577

Wang Y (2004) Seasonal change in the extent of inundation on floodplains detected by JERS-1 Synthetic Aperture Radar data. Int J Remote Sens 25(13):2497–2508

Wang Y, Imhoff ML (1993) Simulated and observed L-band HH radar backscatter from tropical mangrove forests. Int J Remote Sens 14(15):2819–2828

Wang Y, Colby JD, Mulcahy KA (2002) An efficient method for mapping flood extent in a coastal flood plain using Landsat TM and DEM data. Int J Remote Sens 23(18):3681–3696

Wegmüller U, Werner CL, Nüesch D, Borgeaud M (1995) Forest mapping using ERS repeat-pass SAR interferometry. Earth Obs Q 49:4–7

Williams DJ, Shah M (1992) A fast algorithm for active contours and curvature estimation. CVGIP: Image Understing 55(1):14–26

Wood (2001) The use of Earth observing satellites for Hazard support: assessments & scenarios - final report, National Oceanic & Atmospheric Administration, USA. Retrieved from http://ceos.esa.int/plenary16/papers/plenary16_doc14_dmsg_final/final_report/DMSG_final.html

Yamada Y (2001) Detection of Flood-inundated area and relation between the area and Micro-Geomorphology using SAR and GIS. IEEE Geoscience and Remote Sensing Symposium, IGARSS 2001, 7, 3282–3284, Sydney, NSW, July 9-13, 200. doi: 10.1109/IGARSS.2001.978329

Zhou C, Luo J, Yang C, Li B, Wang S (2000) Flood monitoring using multi-temporal AVHRR and RADARSAT imagery. Photogramm Eng Remote Sens 66(5):633–638