Modeling 25 years of spatio-temporal surface water and inundation dynamics on large river basin scale using time series of Earth observation data

Hydrology and Earth System Sciences

Volumn 20, Issue 6, 2016, Pages 2227-2250

  Heimhuber, Valentin ^a   Tulbure, Mirela G ^a   Broich, Mark ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BANKS (BODIES OF WATER); DIGITAL STORAGE; DYNAMICS; FLOODS; INFORMATION MANAGEMENT; OBSERVATORIES; RIVERS; SOIL MOISTURE; SURFACE WATER RESOURCES; TIME SERIES; WATER RESOURCES; WATERSHEDS;

EARTH OBSERVATION DATA; FLOODING AND DRYING; MURRAY-DARLING BASINS (MDB); PREDICTIVE PERFORMANCE; SPATIAL ENTITIES; SPATIAL MODELING; SPATIALLY EXPLICIT; SUSTAINABLE MANAGEMENT;

SURFACE WATERS;

DATA ASSIMILATION; ENVIRONMENTAL MODELING; EOS; EVAPOTRANSPIRATION; FLOODPLAIN; LANDSAT; REMOTE SENSING; RIVER BASIN; RIVER FLOW; SOIL MOISTURE; SPATIOTEMPORAL ANALYSIS; SURFACE WATER; SUSTAINABLE DEVELOPMENT; TIME SERIES ANALYSIS; WATER RESOURCE;

AUSTRALIA; MURRAY-DARLING BASIN;

EID: 84974603996     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-20-2227-2016     Document Type: Article

References (87)

1. Aksoy, H., Unal, N. E., Eris, E., and Yuce, M. I. Stochastic modeling of Lake Van water level time series with jumps, and multiple trends. Hydrol. Earth Syst. Sci., 17, 2297-2303, doi: 10.5194/hess-17-2297-2013, 2013
2. Alfons, A. cvTools: Cross-validation tools for regression models. R package version 0.3.2., available at: http://CRAN.R-project.org/package=cvTools, last access: 12 May 2016, 2012
3. Alsdorf, D. E., Rodríguez, E., and Lettenmaier, D. P. Measuring Surface Water from Space. Rev. Geophys, 45, 1-24, doi: 10.1029/2006RG000197, 2007
4. Arlot, S., and Celisse, A. A survey of cross-validation procedures for model selection. Stat. Surv., 4, 40-79, doi: 10.1214/09-SS054, 2010
5. Baker, C., Lawrence, R., Montagne, C., and Patten, D. Change detection of Wetland ecosystems using Landsat Imagery, and change vector analysis. Wetlands, 27, 610-619, doi: 10.1672/0277-5212(2007)27[610: CDOWEU]2.0.CO; 2, 2007
6. Bakker, K. Water Security: Research Challenges, and Opportunities. Science, 337, 914-915, doi: 10.1126/science.1226337, 2012
7. Bennett, N. D., Croke, B. F. W., Guariso, G., Guillaume, J. H. A., Hamilton, S. H., Jakeman, A. J., Marsili-Libelli, S., Newham, L. T. H., Norton, J. P., Perrin, C., Pierce, S. A., Robson, B., Seppelt, R., Voinov, A. A., Fath, B. D., and Andreassian, V. Characterising performance of environmental models. Environ. Modell. Softw., 40, 1-20, doi: 10.1016/j.envsoft.2012.09.011, 2013
8. Box, G. E. P., and Jenkins, G. M. Time series analysis. forecasting, and control, Holden-day series in time series analysis, Holden-Day, Oakland, CA, 1970
9. Broich, M., Hansen, M. C., Potapov, P., Adusei, B., Lindquist, E., and Stehman, S. V: Time-series analysis of multi-resolution optical imagery for quantifying forest cover loss in Sumatra, and Kalimantan, Indonesia, Int. J. Appl. Earth Obs., 13, 277-291, doi: 10.1016/j.jag.2010.11.004, 2011
10. BRS (Bureau of Rural Sciences): Combined irrigation areas of Australia dataset, BRS, Canberra, 2008
11. Bunn, S. E., Thoms, M. C., Hamilton, S. K., and Capon, S. J. Flow variability in dryland rivers: Boom. bust, and the bits in between, River Res. Appl., 22, 179-186, doi: 10.1002/rra.904, 2006
12. Cauduro, R., De Paiva, D., Buarque, D. C., Collischonn, W., and Bonnet, M. Large-scale hydrologic, and hydrodynamic modeling of the Amazon River basin. Water Resour. Res., 49, 1226-1243, doi: 10.1002/wrcr.20067, 2013
13. Chen, Y., Cuddy, S. M., Merrin, L. E., Huang, C., Pollock, D., Sims, N., Wang, B., and Bai, Q. Murray-Darling Basin Floodplain Inundation Model Version 2.0 (MDB-FIM2). Technical report, CSIRO Water for a Healthy Country Flagship, 2012
14. Chen, Y., Wang, B., Pollino, C. A., Cuddy, S. M., Merrin, L. E., and Huang, C. Estimate of flood inundation, and retention on wetlands using remote sensing, and GIS. Ecohydrology, 7, 1412-1420, doi: 10.1002/eco.1467, 2014
15. Commonwealth of Australia (Bureau of Meteorology): Australian Geofabric, available at: http://www.bom.gov.au/water/geofabric/, last access: 12 May 2016, 2012
16. Commonwealth of Australia (Bureau of Meteorology): Australian Daily Rainfall Gridded Data, available at: http://www.bom.gov.au/climate/how/newproducts/IDCdrgrids.shtml, last access: 12 April 2016, 2015
17. Costanza, R., de Groot, R., Sutton, P., van der Ploeg, S., Anderson, S. J., Kubiszewski, I., Farber, S., and Turner, R. K. Changes in the global value of ecosystem services. Global Environ. Chang., 26, 152-158, doi: 10.1016/j.gloenvcha.2014.04.002, 2014
18. Costelloe, J. F., Grayson, R. B., Argent, R. M., and McMahon, T. A. Modelling the flow regime of an arid zone floodplain river. Diamantina River, Australia, Environ. Modell. Softw., 18, 693-703, doi: 10.1016/S1364-8152(03)00071-9, 2003
19. CSIRO: Water Availability in the Murray-Darling Basin, A report from CSIRO to the Australian Government from the CSIRO Murray-Darling Basin Sustainable Yields Project, CSIRO, Australia, 2008
20. Environment Australia: A directory of important wetlands in Australia, 3rd Edn., Environment Australia, Canberra, 2001
21. Finlayson, C. M., and Spiers, A. G. Global Review of Wetland Resources, and Priorities for Inventory. Supervising Scientist Report No. 144, Canberra, 1999
22. Finlayson, C. M., Davidson, N. C., Spiers, A. G., and Stevenson, N. J. Global wetland inventory-current status, and future priorities. Mar. Freshwater Res., 50, 717-727, doi: 10.1071/MF99098, 1999
23. Frazier, P., and Page, K. A Reach-Scale Remote Sensing Technique to Relate Wetland Inundation to River Flow. River Res. Appl., 25, 836-849, doi: 10.1002/rra.1183, 2009
24. Geoscience Australia, and CSIRO: 1 Second SRTM Derived Digital Elevation Models User Guide, Version 1.0.4. Canberra, ACT, Geoscience Australia, 2011
25. Getirana, A. C. V., Boone, A., Yamazaki, D., Decharme, B., Mognard, N., and Papa, F. The Hydrological Modeling, and Analysis Platform (HyMAP): Evaluation in the Amazon Basin. J. Hydrometeorol., 13, 1641-1665, doi: 10.1175/JHM-D-12-021.1, 2012
26. Government of South Australia: WaterConnect, available at: http://www.waterconnect.sa.gov.au, last access: 12 April 2016, 2015
27. Gumbricht, T., Wolski, P., Frost, P., and McCarthy, T. Forecasting the spatial extent of the annual flood in the Okavango delta. Botswana, J. Hydrol., 290, 178-191, doi: 10.1016/j.jhydrol.2003.11.010, 2004
28. Hamilton, S. K. Wetlands of Large Rivers: Flood plains. in: River ecosystem ecology: a global perspective: a derivative of Encyclopedia of inland waters, Elsevier Inc., 607-610, 2010
29. Huang, C., Chen, Y., andWu, J. GIS-based spatial zoning for flood inundation modelling in the Murray-Darling Basin. in 20th International Congress on Modelling, and Simulation, Adelaide, Australia, 1-6 December 2013, available at: www.mssanz.org.au/modsim2013, last access: 12 May 2016, 2013
30. Huang, C., Chen, Y., and Wu, J. Mapping spatio-Temporal flood inundation dynamics at large river basin scale using time-series flow data, and MODIS imagery. Int. J. Appl. Earth Obs., 26, 350-362, doi: 10.1016/j.jag.2013.09.002, 2014
31. Huang, C., Peng, Y., Lang, M., Yeo, I.-Y., and McCarty, G. Wetland inundation mapping, and change monitoring using Landsat, and airborne LiDAR data. Remote Sens. Environ., 141, 231-242, doi: 10.1016/j.rse.2013.10.020, 2014
32. Jones, K., Lanthier, Y., van der Voet, P., van Valkengoed, E., Taylor, D., and Fernández-Prieto, D. Monitoring, and assessment of wetlands using Earth Observation: the GlobWetland project. J. Environ. Manage., 90, 2154-69, doi: 10.1016/j.jenvman.2007.07.037, 2009
33. Jung, H. C., Alsdorf, D., Moritz, M., Lee, H., and Vassolo, S. Analysis of the relationship between flooding area, and water height in the Logone floodplain. Phys. Chem. Earth, 36, 232-240, doi: 10.1016/j.pce.2011.01.010, 2011
34. Keele, L., and Kelly, N. J. Dynamic models for dynamic theories: The ins, and outs of lagged dependent variables. Polit. Anal., 14, 186-205, doi: 10.1093/pan/mpj006, 2006
35. Kingsford, R. Ecological impacts of dams. water diversions, and river management on floodplain wetlands in Australia, Austral. Ecol., 25, 109-127, 2000
36. Kingsford, R. T., Thomas, R. F., and Curtin, A. L. Conservation of wetlands in the Paroo, and Warrego River catchments in arid Australia. Pacific Conservation Biology, 7, 21-33, 2001
37. Kingsford, R. T., Brandis, K., Thomas, R. F., Crighton, P., Knowles, E., and Gale, E. Classifying landform at broad spatial scales: the distribution, and conservation of wetlands in New South Wales. Australia, Mar. Freshwater Res., 55, 17-31, doi: 10.1071/MF03075, 2004
38. Klein, I., Dietz, A. J., Gessner, U., Galayeva, A., Myrzakhmetov, A., and Kuenzer, C. Evaluation of seasonal water body extents in Central Asia over the past 27 years derived from mediumresolution remote sensing data. Int. J. Appl. Earth Obs., 26, 335-349, doi: 10.1016/j.jag.2013.08.004, 2014
39. Kuenzer, C., Klein, I., Ullmann, T., Georgiou, E., Baumhauer, R., and Dech, S. Remote Sensing of River Delta Inundation: Exploiting the Potential of Coarse Spatial Resolution. Temporally-Dense MODIS Time Series, Remote Sens., 7, 8516-8542, doi: 10.3390/rs70708516, 2015
40. Lamontagne, S., and Herczeg, A. L. Hydrology, and ecohydrology of Australian semi-Arid wetlands. Hydrol. Process., 23, 3413-3414, doi: 10.1002/hyp.7462, 2009
41. Leauthaud, C., Belaud, G., Duvail, S., Moussa, R., Grünberger, O., and Albergel, J. Characterizing floods in the poorly gauged wetlands of the Tana River Delta. Kenya, using a water balance model, and satellite data, Hydrol. Earth Syst. Sci., 17, 3059-3075, doi: 10.5194/hess-17-3059-2013, 2013
42. Leblanc, M., Tweed, S., Van Dijk, A., and Timbal, B. A review of historic, and future hydrological changes in the Murray-Darling Basin. Global Planet. Change, 80-81, 226-246, doi: 10.1016/j.gloplacha.2011.10.012, 2012
43. Lemly, A., Kingsford, R., and Thompson, J. Irrigated Agriculture, and Wildlife Conservation: Conflict on a Global Scale. Environ. Manage., 25, 485-512, doi: 10.1007/s002679910039, 2000
44. Liu, Y. Y., Dorigo, W. A., Parinussa, R. M., de Jeu, R. A. M., Wagner, W., McCabe, M. F., Evans, J. P., and van Dijk, A. I. J. M. Trend-preserving blending of passive, and active microwave soil moisture retrievals. Remote Sens. Environ., 123, 280-297, doi: 10.1016/j.rse.2012.03.014, 2012
45. Maltby, E., and Acreman, M. C. Ecosystem services of wetlands: pathfinder for a new paradigm. Hydrol. Sci. J., 56, 1341-1359, doi: 10.1080/02626667.2011.631014, 2011
46. Mccarthy, J. M., Gumbricht, T., Mccarthy, T., Frost, P., Wessels, K., and Seidel, F. Flooding Patterns of the OkavangoWetland in Botswana between 1972, and 2000. Ambio, 32, 453-457, 2003
47. MDBA: Guide to the proposed Basin Plan Technical background, Murray-Darling Basin Authority, Canberra, 2010
48. Nativi, S., Mazzetti, P., Santoro, M., Papeschi, F., Craglia, M., and Ochiai, O. Big Data challenges, and solutions in building the Global Earth Observation System of Systems. Environ. Modell. Softw., 68, 1-26, doi: 10.1016/j.envsoft.2015.01.017, 2015
49. Neal, J., Schumann, G., and Bates, P. A subgrid channel model for simulating river hydraulics, and floodplain inundation over large, and data sparse areas. Water Resour. Res., 48, W11506, doi: 10.1029/2012WR012514, 2012
50. Neal, J. C., Odoni, N. A., Trigg, M. A., Freer, J. E., Garcia-Pintado, J., Mason, D. C.,Wood, M., and Bates, P. D. Efficient incorporation of channel cross-section geometry uncertainty into regional, and global scale flood inundation models. J. Hydrol., 529, 169-183, doi: 10.1016/j.jhydrol.2015.07.026, 2015
51. New South Wales Government: Waterinfo, available at: http://waterinfo.nsw.gov.au/pinneena/cm.shtml, last access: 12 April 2016, 2015
52. Overton, I. C. Modelling floodplain inundation on a regulated river: integrating GIS. remote sensing, and hydrological models, River Res. Appl., 21, 991-1001, doi: 10.1002/rra.867, 2005
53. Overton, I. C., McEwan, K., and Sherrah, J. R. The River Murray Floodplain Inundation Model (RiM-FIM) Hume Dam to Lower Lakes. CSIRO Water for a Healthy Country Technical Report 2006. CSIRO, Canberra, 2006
54. Overton, I. C., Colloff, M. J., Doody, T. M., Henderson, B., and Cuddy, S. M. Ecological Outcomes of Flow Regimes in the Murray-Darling Basin. Report prepared for the National Water Commission by CSIRO Water for a Healthy Country Flagship, CSIRO, Canberra, 2009
55. Penton, D. J., and Overton, I. C. Spatial Modelling of Floodplain Inundation Combining Satellite Imagery, and Elevation Models. in: MODSIM 2007 International Congress on Modelling, and Simulation, edited by: Oxley, L., and Kulasiri, D., Modelling, and Simulation Society of Australia, and New Zealand, 1464-1470, 2007
56. Powell, S. J., Letcher, R. A., and Croke, B. F. W. Modelling floodplain inundation for environmental flows: Gwydir wetlands. Australia, Ecol. Model., 211, 350-362, doi: 10.1016/j.ecolmodel.2007.09.013, 2008
57. Queensland Government: Water Monitoring Portal, available at: https://www.dnrm.qld.gov.au/water/water-monitoring-And-data/portal, last access: 12 April 2016, 2015
58. R Development Core Team: R: A language, and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria, available at: http://www.R-project.org, last access: 12 May 2016, 2008
59. Ramsar Convention Secretariat: The List of Wetlands of International Importance, available at: http://www.ramsar.org/library, last access: 12 May 2016, 2014
60. Ren, S., Kingsford, R. T., and Thomas, R. F. Modelling flow to, and inundation of the Macquarie Marshes in arid Australia. Environmetrics, 21, 549-561, doi: 10.1002/env.1002, 2010
61. Robertson, A. I., Bunn, S. E., Boon, P. I., andWalker, K. F. Sources. sinks, and transformations of organic carbon in Australian floodplain rivers, Mar. Freshwater Res., 50, 813-829, 1999
62. Sakamoto, T., Van Nguyen, N., Kotera, A., Ohno, H., Ishitsuka, N., and Yokozawa, M. Detecting temporal changes in the extent of annual flooding within the Cambodia, and the Vietnamese Mekong Delta from MODIS time-series imagery. Remote Sens. Environ., 109, 295-313, doi: 10.1016/j.rse.2007.01.011, 2007
63. Sampson, C. C., Smith, A. M., Bates, P. D., Neal, J. C., Alfieri, L., and Freer, J. E. A high-resolution global flood hazard model. Water Resour. Res., 51, 7358-7381, doi: 10.1002/2015WR016954, 2015
64. Sánchez-Carrillo, S., Angeler, D. G., Sánchez-Andrés, R., Alvarez-Cobelas, M., and Garatuza-Payán, J. Evapotranspiration in semi-Arid wetlands: relationships between inundation, and the macrophyte-cover: open-water ratio. Adv. Water Resour., 27, 643-655, doi: 10.1016/j.advwatres.2004.02.018, 2004
65. Shaikh, M., Green, D., and Cross, H. A remote sensing approach to determine environmental flows for wetlands of the Lower Darling River. New SouthWales, Australia, Int. J. Remote Sens., 22, 1737-1751, 2001
66. Shmueli, G. To Explain or to Predict? Stat. Sci., 25, 289-310, doi: 10.1214/10-STS330, 2010
67. Shumway, R. H., and Stoffer, D. S. Time Series Analysis, and Its Applications: With R Examples. Springer, New York, 2006
68. Sims, N. C., Warren, G., Overton, I. C., Austin, J., Gallant, J., King, D. J., Merrin, L. E., Donohue, R., McVicar, T. R., Hodgen, M. J., Penton, D., Chen, Y., Huang, C., and Cuddy, S. RiMFIM Floodplain Inundation Modelling for the Edward-Wakool. Lower Murrumbidgee, and Lower Darling River Systems. Report prepared for the Murray-Darling Basin Authority, CSIRO Water for a Healthy Country Flagship, Canberra, 2014
69. State Government Victoria: Water Monitoring, available at: http://data.water.vic.gov.au/monitoring.htm, last access: 12 April 2016, 2015
70. Teferi, E., Uhlenbrook, S., Bewket, W., Wenninger, J., and Simane, B. The use of remote sensing to quantify wetland loss in the Choke Mountain range. Upper Blue Nile basin, Ethiopia, Hydrol. Earth Syst. Sci., 14, 2415-2428, doi: 10.5194/hess-14-2415-2010, 2010
71. Timms, B. V: Waterbirds of the Saline Lakes of the Paroo, aridzone Australia?: A review with special reference to diversity, and conservation, Nat. Resour. Env. Iss., 15, 46, 8 pp., 2009
72. Tockner, K., Pennetzdorfer, D., Reiner, N., Schiemer, F., and Ward, J. V. Hydrological connectivity., and the exchange of organic matter, and nutrients in a dynamic river-floodplain system (Danube, Austria), Freshwater Biol., 41, 521-535, doi: 10.1046/j.1365-2427.1999.00399.x, 1999
73. Tulbure, M. G., and Broich, M. Spatiotemporal dynamic of surface water bodies using Landsat time-series data from 1999 to 2011. ISPRS J. Photogramm., 79, 44-52, doi: 10.1016/j.isprsjprs.2013.01.010, 2013
74. Tulbure, M. G., Broich, M., Stehman, S. V., and Kommareddy, A. Surface water extent dynamics from three decades of seasonally continuous Landsat time series at subcontinental scale in a semi-Arid region. Remote Sens. Environ., 178, 142-157, doi: 10.1016/j.rse.2016.02.034, 2016
75. Vaze, J., Viney, N., Stenson, M., Renzullo, L., Van Dijk, A., Dutta, D., Crosbie, R., Lerat, J., Penton, D., Vleeshouwer, J., Peeters, L., Teng, J., Kim, S., Hughes, J., Dawes,W., Zhang, Y., Leighton, B., Joehnk, K., Yang, A., Wang, B., Frost, A., Elmahdi, A., Smith, A., and Daamen, C. The Australian Water Resource Assessment Modelling System (AWRA). in: 20th International Congress on Modelling, and Simulation, Adelaide, Australia, 1-6 December 2013, available at: www.mssanz.org.au/modsim2013, last access: 12 May 2016, 2013
76. Viney, N., Vaze, J., Crosbie, R.,Wang, B., Dawes,W., and Frost, A. AWRA-L v4.5: technical description of model algorithms, and inputs. CSIRO, Australia, 2014
77. Vörösmarty, B C. J., Hoekstra, A. Y., Bunn, S. E., Conway, D., and Gupta, J. What scale for water governance? Science, 349, 478-479, doi: 10.1126/science.349.6247.478-A, 2015
78. Wagner, W., Dorigo, W., De Jeu, R., Fernandez, D., Benveniste, J., Haas, E., and Ertl, M. Fusion of active, and passive microwave observations to create an essential climate variable data record on soil moisture. in: ISPRS Annals of the Photogrammetry, Remote Sensing, and Spatial Information Sciences, Volume I-7, 2012 XXII ISPRS Congress, 25 August-1 September 2012, Melbourne, Australia, 2012
79. Wagner, W., Dech, S. W., and Kuenzer, C. Remote Sensing Time Series: Revealing Land Surface Dynamics. Springer, Cham, Switzerland, 2015
80. Westra, T., and De Wulf, R. R. Modelling yearly flooding extent of the Waza-Logone floodplain in northern Cameroon based on MODIS, and rainfall data. Int. J. Remote Sens., 30, 5527-5548, doi: 10.1080/01431160802672872, 2009
81. Yamazaki, D., Kanae, S., Kim, H., and Oki, T. A physically based description of floodplain inundation dynamics in a global river routing model. Water Resour. Res., 47, 1-21, doi: 10.1029/2010WR009726, 2011
82. Yan, K., Di Baldassarre, G., Solomatine, D. P., and Schumann, G. J. P. A review of low-cost space-borne data for flood modelling: topography. flood extent, and water level, Hydrol. Process., 29, 3368-3387, doi: 10.1002/hyp.10449, 2015
83. Ye, N., Walker, J. P., Guerschman, J., Ryu, D., and Gurney, R. J. Standing water effect on soil moisture retrieval from L-band passive microwave observations. Remote Sens. Environ., 169, 232-242, doi: 10.1016/j.rse.2015.08.013, 2015
84. Zarfl, C., Lumsdon, A. E., Berlekamp, J., Tydecks, L., and Tockner, K. A global boom in hydropower dam construction. Aquat. Sci., 77, 161-170, doi: 10.1007/s00027-014-0377-0, 2015
85. Zeileis A. dynlm: Dynamic Linear Regression. R package version 0.3-3., available at: http://CRAN.R-project.org/package=dynlm, last access: 12 May 2016, 2014
86. Zeileis, A., and Grothendieck, G. zoo: S3 Infrastructure for Regular, and Irregular Time. J. Stat. Softw., 14, 27 pp., 2005
87. Zhao, X., Stein, A., and Chen, X.-L. Monitoring the dynamics of wetland inundation by random sets on multitemporal images. Remote Sens. Environ., 115, 2390-2401, doi: 10.1016/j.rse.2011.05.002, 2011