Water bodies' mapping from Sentinel-2 imagery with Modified Normalized Difference Water Index at 10-m spatial resolution produced by sharpening the swir band

Remote Sensing

Volumn 8, Issue 4, 2016, Pages

  Du, Yun ^a   Zhang, Yihang ^a,b,c   Ling, Feng ^a,d   Wang, Qunming ^c   Li, Wenbo ^e   Li, Xiaodong ^a  

^a Wuhan National Laboratory for Optoelectronics   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c LANCASTER UNIVERSITY   (United Kingdom)

^d UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^e HEFEI INSTITUTES OF PHYSICAL SCIENCE   (China)

Author keywords

Modified normalized differencewater index (MNDWI); Normalized difference water index (NDWI); Pan sharpening; Remote sensing; Sentinel 2; Shortwave Infrared (SWIR); Water body mapping

Indexed keywords

HIGH PASS FILTERS; IMAGE RESOLUTION; INFRARED RADIATION; MAPPING; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; WAVELET TRANSFORMS;

MODIFIED NORMALIZED DIFFERENCEWATER INDEX (MNDWI); NORMALIZED DIFFERENCE WATER INDEX; PAN-SHARPENING; SENTINEL-2; SHORT WAVE INFRARED; WATERBODIES;

EXTRACTION;

EID: 84971671499     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs8040354     Document Type: Article

References (54)

1. Papa, F.; Prigent, C.; Rossow, W.B. Monitoring flood and discharge variations in the large siberian rivers from a multi-satellite technique. Surv. Geophys. 2008, 29, 297-317
2. Roberts, N.; Taieb, M.; Barker, P.; Damnati, B.; Icole, M.; Williamson, D. Timing of the younger dryas event in east-Africa from lake-level changes. Nature 1993, 366, 146-148
3. Vorosmarty, C.J.; Sharma, K.P.; Fekete, B.M.; Copeland, A.H.; Holden, J.; Marble, J.; Lough, J.A. The storage and aging of continental runoffin large reservoir systems of the world. AMBIO 1997, 26, 210-219
4. Chen, Q.L.; Zhang, Y.Z.; Ekroos, A.; Hallikainen, M. The role of remote sensing technology in the EU water framework directive (WFD). Environ. Sci. Policy 2004, 7, 267-276
5. Du, Y.; Xue, H.P.; Wu, S.J.; Ling, F.; Xiao, F.; Wei, X.H. Lake area changes in the middle Yangtze region of China over the 20th century. J. Environ. Manag. 2011, 92, 1248-1255
6. Feng, L.; Hu, C.M.; Chen, X.L.; Cai, X.B.; Tian, L.Q.; Gan, W.X. Assessment of inundation changes of Poyang Lake using MODIS observations between 2000 and 2010. Remote Sens. Environ. 2012, 121, 80-92
7. Work, E.A.; Gilmer, D.S. Utilization of satellite data for inventorying prairie ponds and lakes. Photogramm. Eng. Remote Sens. 1976, 42, 685-694
8. Sivanpillai, R.; Miller, S.N. Improvements in mapping water bodies using ASTER data. Ecol. Inform. 2010, 5, 73-78
9. Sheng, Y.W.; Shah, C.A.; Smith, L.C. Automated image registration for hydrologic change detection in the lake-rich Arctic. IEEE Geosci. Remote Sens. Lett. 2008, 5, 414-418
10. Huang, C.; Chen, Y.;Wu, J.P. DEM-based modification of pixel-swapping algorithm for enhancing floodplain inundation mapping. Int. J. Remote Sens. 2014, 35, 365-381
11. Huang, C.; Chen, Y.; Wu, J.P. Mapping spatio-temporal flood inundation dynamics at large river basin scale using time-series flow data and MODIS imagery. Int. J. Appl. Earth Obs. Geoinf. 2014, 26, 350-362
12. Li, W.B.; Du, Z.Q.; Ling, F.; Zhou, D.B.; Wang, H.L.; Gui, Y.M.; Sun, B.Y.; Zhang, X.M. A comparison of land surface water mapping using the normalized difference water index from TM, ETM plus and ALI. Remote Sens. 2013, 5, 5530-5549
13. Du, Z.Q.; Li, W.B.; Zhou, D.B.; Tian, L.Q.; Ling, F.; Wang, H.L.; Gui, Y.M.; Sun, B.Y. Analysis of Landsat-8 OLI imagery for land surface water mapping. Remote Sens. Lett. 2014, 5, 672-681
14. Xie, H.; Luo, X.; Xu, X.; Tong, X.H.; Jin, Y.M.; Pan, H.Y.; Zhou, B.Z. New hyperspectral difference water index for the extraction of urban water bodies by the use of airborne hyperspectral images. J. Appl. Remote Sens. 2014, 8, 085098
15. Hui, F.M.; Xu, B.; Huang, H.B.; Yu, Q.; Gong, P. Modelling spatial-temporal change of Poyang Lake using multitemporal Landsat imagery. Int. J. Remote Sens. 2008, 29, 5767-5784
16. Jiang, H.; Feng, M.; Zhu, Y.Q.; Lu, N.; Huang, J.X.; Xiao, T. An automated method for extracting rivers and lakes from landsat imagery. Remote Sens. 2014, 6, 5067-5089
17. Mizuochi, H.; Hiyama, T.; Ohta, T.; Nasahara, K.N. Evaluation of the surface water distribution in north-central namibia based on MODIS and AMSR series. Remote Sens. 2014, 6, 7660-7682
18. Yao, F.F.; Wang, C.; Dong, D.; Luo, J.C.; Shen, Z.F.; Yang, K.H. High-resolution mapping of urban surface water using ZY-3 multi-spectral imagery. Remote Sens. 2015, 7, 12336-12355
19. Li, W.; Qin, Y.; Sun, Y.; Huang, H.; Ling, F.; Tian, L.; Ding, Y. Estimating the relationship between dam water level and surface water area for the Danjiangkou Reservoir using Landsat remote sensing images. Remote Sens. Lett. 2016, 7, 121-130
20. Ryu, J.H.;Won, J.S.; Min, K.D. Waterline extraction from Landsat TM data in a tidal flat-A case study in Gomso Bay, Korea. Remote Sens. Environ. 2002, 83, 442-456
21. McFeeters, S.K. The use of the normalized difference water index (NDWI) in the delineation of open water features. Int. J. Remote Sens. 1996, 17, 1425-1432
22. Xu, H.Q. Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. Int. J. Remote Sens. 2006, 27, 3025-3033
23. Singh, K.V.; Setia, R.; Sahoo, S.; Prasad, A.; Pateriya, B. Evaluation of NDWI and MNDWI for assessment of waterlogging by integrating digital elevation model and groundwater level. Geocarto Int. 2015, 30, 650-661
24. Carroll, M.L.; Townshend, J.R.; DiMiceli, C.M.; Noojipady, P.; Sohlberg, R.A. A new global raster water mask at 250 m resolution. Int. J. Digit. Earth. 2009, 2, 291-308
25. Huang, S.F.; Li, J.G.; Xu, M. Water surface variations monitoring and flood hazard analysis in Dongting Lake area using long-term Terra/MODIS data time series. Nat. Hazards 2012, 62, 93-100
26. Rokni, K.; Ahmad, A.; Selamat, A.; Hazini, S. Water feature extraction and change detection using multitemporal landsat imagery. Remote Sens. 2014, 6, 4173-4189
27. Drusch, M.; Del Bello, U.; Carlier, S.; Colin, O.; Fernandez, V.; Gascon, F.; Hoersch, B.; Isola, C.; Laberinti, P.; Martimort, P.; et al. Sentinel-2: ESA's optical high-resolution mission for GMES operational services. Remote Sens. Environ. 2012, 120, 25-36
28. Pesaresi, M.; Corbane, C.; Julea, A.; Florczyk, A.; Syrris, V.; Soille, P. Assessment of the Added-Value of Sentinel-2 for Detecting Built-up Areas. Remote Sens. 2016, 8, 299
29. Immitzer, M.; Vuolo, F.; Atzberger, C. First Experience with Sentinel-2 Data for Crop and Tree Species Classifications in Central Europe. Remote Sens. 2016, 8, 166
30. Atkinson, P.M. Downscaling in remote sensing. Int. J. Appl. Earth Obs. Geoinf. 2013, 22, 106-114
31. Atkinson, P.M.; Pardo-Iguzquiza, E.; Chica-Olmo, M. Downscaling cokriging for super-re solution mapping of continua in remotely sensed images. IEEE Trans. Geosci. Remote Sens. 2008, 46, 573-580
32. Ashraf, S.; Brabyn, L.; Hicks, B.J. Image data fusion for the remote sensing of freshwater environments. Appl. Geogr. 2012, 32, 619-628
33. Zhang, H.K.K.; Huang, B. A new look at image fusion methods from a bayesian perspective. Remote Sens. 2015, 7, 6828-6861
34. Vivone, G.; Alparone, L.; Chanussot, J.; Dalla Mura, M.; Garzelli, A.; Licciardi, G.A.; Restaino, R.;Wald, L. A critical comparison among pansharpening algorithms. IEEE Trans. Geosci. Remote Sens. 2015, 53, 2565-2586
35. Che, X.H.; Feng, M.; Jiang, H.; Song, J.; Jia, B. Downscaling MODIS surface reflectance to improve water body extraction. Adv. Meteorol. 2015, 2015, 424291
36. Wu, G.P.; Liu, Y.B. Downscaling surface water inundation from coarse data to fine-scale resolution: Methodology and accuracy assessment. Remote Sens. 2015, 7, 15989-16003
37. Wang, Q.M.; Shi, W.Z.; Atkinson, P.M.; Zhao, Y.L. Downscaling MODIS images with area-to-point regression kriging. Remote Sens. Environ. 2015, 166, 191-204
38. Wang, Q.M.; Shi, W.Z.; Atkinson, P.M.; Pardo-Iguquiza, E. A new geostatistical solution to remote sensing image downscaling. IEEE Trans. Geosci. Remote Sens. 2016, 54, 386-396
39. Strozzi, T.; Teatini, P.; Tosi, L. TerraSAR-X reveals the impact of the mobile barrier works on Venice coastland stability. Remote Sens. Environ. 2009, 113, 2682-2688
40. Tosi, L.; Carbognin, L.; Teatini, P.; Strozzi, T.; Wegmuller, U. Evidence of the present relative land stability of Venice, Italy, from land, sea, and space observations. Geophys. Res. Lett. 2002, 29, 3-1-3-4
41. Sun, F.D.; Sun, W.X.; Chen, J.; Gong, P. Comparison and improvement of methods for identifying waterbodies in remotely sensed imagery. Int. J. Remote Sens. 2012, 33, 6854-6875
42. Chander, G.; Markham, B.L.; Helder, D.L. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sens. Environ. 2009, 113, 893-903
43. Ko, B.C.; Kim, H.H.; Nam, J.Y. Classification of potential water bodies using landsat 8 OLI and a combination of two boosted random forest classifiers. Sensors 2015, 15, 13763-13777
44. Chavez, P.S.; Kwarteng, A.Y. Extracting spectral contrast in landsat thematic mapper image data using selective principal component analysis. Photogramm. Eng. Remote Sens. 1989, 55, 339-348
45. Carper, W.J.; Lillesand, T.M.; Kiefer, R.W. The use of intensity-hue-saturation transformations for merging spot panchromatic and multispectral image data. Photogramm. Eng. Remote Sens. 1990, 56, 459-467
46. Chavez, P.S.; Sides, S.C.; Anderson, J.A. Comparison of 3 different methods to merge multiresolution and multispectral data-Landsat tm and spot panchromatic. Photogramm. Eng. Remote Sens. 1991, 57, 295-303
47. Shensa, M.J. The discrete wavelet transform-Wedding the a trous and mallat algorithms. IEEE Trans. Signal Process. 1992, 40, 2464-2482
48. Shah, V.P.; Younan, N.H.; King, R.L. An efficient pan-sharpening method via a combined adaptive PCA approach and contourlets. IEEE Trans. Geosci. Remote Sens. 2008, 46, 1323-1335
49. Huang, P.S.; Tu, T.M. A new look at IHS-like image fusion methods. Inf. Fusion 2007, 8, 217-218
50. Garzelli, A.; Aiazzi, B.; Alparone, L.; Baronti, S.; Nencini, F. Interband structure modeling for oversampled multiresolution analysis-based Pan-sharpening of very high resolution multispectral images. Proc. SPIE 2003, 5207, 678-689
51. Ji, L.; Zhang, L.; Wylie, B. Analysis of dynamic thresholds for the normalized difference water index. Photogramm. Eng. Remote Sens. 2009, 75, 1307-1317
52. Lin, K.C. On improvement of the computation speed of Otsu's image thresholding. J. Electron. Imaging 2005, 14, 023011
53. Alparone, L.; Alazzi, B.; Baronti, S.; Garzelli, A.; Nencini, F.; Selva, M. Multispectral and panchromatic data fusion assessment without reference. Photogramm. Eng. Remote Sens. 2008, 74, 193-200
54. Wang, Z.; Bovik, A.C. A universal image quality index. IEEE Signal Process. Lett. 2002, 9, 81-84