Development of a global inundation map at high spatial resolution from topographic downscaling of coarse-scale remote sensing data

Remote Sensing of Environment

Volumn 158, Issue , 2015, Pages 348-361

  Fluet Chouinard, Etienne ^a   Lehner, Bernhard ^a   Rebelo, Lisa Maria ^b   Papa, Fabrice ^c,d   Hamilton, Stephen K ^e  

^a MCGILL UNIVERSITY   (Canada)

^b INTERNATIONAL WATER MANAGEMENT INSTITUTE   (Laos)

^c INSTITUT DE RECHERCHE POUR LE DÉVELOPPEMENT   (France)

^d Indian Institute of Tropical Meteorology   (India)

^e MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

Decision tree; Downscaling; Global; Inundation; Surface water; Wetlands

Indexed keywords

DECISION TREES; ECOLOGY; ERRORS; FLOODS; IMAGE RESOLUTION; RAIN; REMOTE SENSING; SATELLITES; TREES (MATHEMATICS); WETLANDS;

DOWN-SCALING; DOWNSCALING METHODS; FRESH WATER RESOURCES; GLOBAL; HIGH SPATIAL RESOLUTION; INUNDATION; REMOTE SENSING DATA; TERRESTRIAL SURFACE;

SURFACE WATERS;

DATABASE; INNOVATION; LAND COVER; LOCATION DECISION; PROBABILITY; RESOURCE ALLOCATION; SHUTTLE RADAR TOPOGRAPHY MISSION; SPATIAL RESOLUTION; SURFACE WATER; TOPOGRAPHIC MAPPING;

EID: 84920998201     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2014.10.015     Document Type: Article

References (77)

1. Adam L., Döll P., Prigent C., Papa F. Global-scale analysis of satellite-derived time series of naturally inundated areas as a basis for floodplain modeling. Advances in Geosciences 2010, 27:45-50.
2. Aires F., Papa F., Prigent C. A long-term, high-resolution wetland dataset over the Amazon Basin, downscaled from a multiwavelength retrieval using SAR data. Journal of Hydrometeorology 2013, 14(2):594-607.
3. Aires F., Papa F., Prigent C., Crétaux J., Berge-Nguyen M. Characterization and space/time downscaling of the inundation extent over the Inner Niger Delta using GIEMS and MODIS data. Journal of Hydrometeorology 2014, 15:171-192.
4. Alcamo J., Flörke M., Märker M. Future long-term changes in global water resources driven by socio-economic and climatic changes. Hydrological Sciences Journal 2007, 52(2):247-275.
5. Alsdorf D.E., Rodríguez E., Lettenmaier D.P. Measuring surface water from space. Reviews of Geophysics 2007, 45(2).
6. Armstrong R.L., Brodzik M.J. Northern Hemisphere EASE-Grid weekly snow cover and sea ice extent version 3 2005, National Snow and Ice Data Center, Boulder, Colorado, USA.
7. Arnell N.W. Climate change and global water resources: SRES emissions and socio-economic scenarios. Global Environmental Change 2004, 14(1):31-52.
8. Aselmann I., Crutzen P.J. Global distribution of natural freshwater wetlands and rice paddies, their net primary productivity, seasonality and possible methane emissions. Journal of Atmospheric Chemistry 1989, 8(4):307-358.
9. Baker C., Lawrence R., Montagne C., Patten D. Mapping wetlands and riparian areas using landsat ETM+ imagery and decision-tree-based models. Wetlands 2006, 26(2):465-474.
10. Bartholomé E., Belward A.S. GLC2000: A new approach to global land cover mapping from earth observation data. International Journal of Remote Sensing 2005, 26(9):1959-1977.
11. Bousquet P., Ciais P., Miller J.B., Dlugokencky E.J., Hauglustaine D.A., Prigent C., et al. Contribution of anthropogenic and natural sources to atmospheric methane variability. Nature 2006, 443(7110):439-443.
12. Brakenridge G.R., Anderson E. MODIS-based flood detection, mapping, and measurement: The potential for operational hydrological applications. Transboundary floods: Reducing the risks through flood management 2006, Springer-Verlag, Netherlands. J. Marsalek (Ed.).
13. Breiman L., Olshen J.H., Stone C.J. Classification and regression trees 1984, Chapman and Hall, New York.
14. Bridgham S.D., Cadillo-Quiroz H., Keller J.K., Zhuang Q. Methane emissions from wetlands: Biogeochemical, microbial, and modeling perspectives from local to global scales. Global Change Biology 2013, 19(5):1325-1346.
15. Bwangoy J.-B., Hansen M.C., Roy D.P., Grandi G.D., Justice C.O. Wetland mapping in the Congo Basin using optical and radar remotely sensed data and derived topographical indices. Remote Sensing of Environment 2010, 114(1):73-86.
16. Cohen J. Weighted Kappa: Nominal scale agreement with provision for scale disagreement or partial credit. Psychological Bulletin 1968, 70:213-220.
17. Das N., Entekhabi D., Njoku E.G. An algorithm for merging SMAP radiometer and radar data for high-resolution soil-moisture retrieval. IEEE Transactions on Geoscience and Remote Sensing 2011, 49(5):1504-1512.
18. Davidson N.C. How much wetland has the world lost? Long-term and recent trends in global wetland area. Marine and Freshwater Research 2014, 65(10):934-941.
19. Davidson N.C., Finlayson C.M. Earth observation for wetland inventory, assessment and monitoring. Aquatic Conservation: Marine and Freshwater Ecosystems 2007, 17:219-228.
20. Decharme B., Douville H., Prigent C., Papa F., Aires F. A new river flooding scheme for global climate applications: Off-line evaluation over South America. Journal of Geophysical Research, [Atmospheres] 2008, 113(D11).
21. DeFries R.S., Hansen M.C., Townshend J.R.G., Janetos A.C., Loveland T.R. A new global 1-km dataset of percentage tree cover derived from remote sensing. Global Change Biology 2000, 6(2):247-254.
22. Dudgeon D., Arthington A.H., Gessner M.O., Kawabata Z., Knowler D.J., Lévêque C., et al. Freshwater biodiversity: Importance, threats, status and conservation challenges. Biological Reviews of the Cambridge Philosophical Society 2006, 81(2):163-182.
23. ESRI: Environmental Systems Research Institute ArcWorld 1:3 Mio. Continental Coverage 1992, (Redlands, CA).
24. ESRI: Environmental Systems Research Institute Digital Chart of the World 1:1 Mio 1993, (Redlands, CA).
25. ESRI: Environmental Systems Research Institute ArcGIS Desktop: Release 10 2011, Environmental Systems, Research Institute, Redlands, CA.
26. Eva H.D., Belward A.S., De Miranda E.E., Di Bella C.M., Gond V., Huber O., et al. A land cover map of South America. Global Change Biology 2004, 10(5):731-744.
27. Finlayson C.M., Spiers A.G. Global review of wetland resources and priorities for wetland inventory. Supervising Scientist Report 144 / Wetlands International Publication 53 1999, Supervising Scientist, Canberra, Australia.
28. Frappart F., Papa F., Güntner A., Werth S., Santos da Silva J., Tomasella J., et al. Satellite-based estimates of groundwater storage variations in large drainage basins with extensive floodplains. Remote Sensing of Environment 2011, 115(6):1588-1594.
29. Friedl M.A., McIver D.K., Hodges J.C.F., Zhang X.Y., Muchoney D., Strahler A.H., et al. Global land cover mapping from MODIS: Algorithms and early results. Remote Sensing of Environment 2002, 83(1-2):287-302.
30. Galantowicz J. High-resolution flood mapping from low-resolution passive microwave satellite observations 2002, IEEE International Geoscience and Remote Sensing Symposium, Toronto, Canada, 1499-1502.
31. Gong L., Halldin S., Xu C.Y. Global-scale river routing - An efficient time-delay algorithm based on HydroSHEDS high-resolution hydrography. Hydrological Processes 2011, 25(7):1114-1128.
32. Hansen M.C., DeFries R.S., Townshend J.R.G., Sohlberg R. Global land cover classification at 1km spatial resolution using a classification tree approach. International Journal of Remote Sensing 2000, 21:1331-1364.
33. Herold M., Mayaux P., Woodcock C.E., Baccini A., Schmullius C. Some challenges in global land cover mapping: An assessment of agreement and accuracy in existing 1 km datasets. Remote Sensing of Environment 2008, 112(5):2538-2556.
34. Hess L.L., Melack J.M. Mapping wetland hydrology and vegetation with synthetic aperture radar. International Journal of Ecology and Environmental Sciences 1994, 20(1-2):197-205.
35. Hess L.L., Melack J.M., Novo E.M., Barbosa C.C., Gastil M. Dual-season mapping of wetland inundation and vegetation for the central Amazon basin. Remote Sensing of Environment 2003, 87(4):404-428.
36. Keddy P.A., Fraser L.H., Solomeshch A.I., Junk W.J., Campbell D.R., Arroyo M.T.K., et al. Wet and wonderful: The world's largest wetlands are conservation priorities. Bioscience 2009, 59(1):39-51.
37. Kellndorfer J., Walker W., Pierce L., Dobson C., Fites J.A., Hunsaker C., et al. Vegetation height estimation from shuttle radar topography mission and national elevation datasets. Remote Sensing of Environment 2004, 93(3):339-358.
38. Lehner B., Döll P. Development and validation of a global database of lakes, reservoirs and wetlands. Journal of Hydrology 2004, 296(1-4):1-22.
39. Lehner B., Grill G. Global river hydrography and network routing: Baseline data and new approaches to study the world's large river systems. Hydrological Processes 2013, 27:2171-2186.
40. Lehner B., Verdin K., Jarvis A. New global hydrography derived from spaceborne elevation data. EOS 2008, 89(10):93-94.
41. Loveland T.R., Reed B.C., Brown J.F., Ohlen D.O., Zhu J., Yang L., et al. Development of a global land cover characteristics database and IGBP DISCover from 1-km AVHRR data. International Journal of Remote Sensing 2000, 21(6-7):1303-1330.
42. MacKay H., Finlayson C.M., Fernández-Prieto D., Davidson N., Pritchard D., Rebelo L.-M. The role of Earth Observation (EO) technologies in supporting implementation of the Ramsar Convention on Wetlands. Journal of Environmental Management 2009, 90(7):2234-2242.
43. Manfreda S., Sole A., Fiorentino M. Can the basin morphology alone provide an insight into floodplain delineation?. WIT Transactions on Ecology and the Environment - Flood Recovery, Innovation and Response I 2008, 118:47-56.
44. Matthews E., Fung I. Methane emissions from natural wetlands: Global distribution, area, and environmental characteristics of sources. Global Biogeochemical Cycles 1987, 1:61-86.
45. Mayaux P., Grandi G.D., Rauste Y., Simard M., Saatchi S. Large-scale vegetation maps derived from the combined L-band GRFM and C-band CAMP wide area radar mosaics of Central Africa. International Journal of Remote Sensing 2002, 23(7):1261-1282.
46. Mayaux P., Bartholomé E., Fritz S., Belward A. A new land-cover map of Africa for the year 2000. Journal of Biogeography 2004, 31(6):861-877.
47. MEA: Millenium Ecosystem Assessment Current State & Trends Assessment: Chapter 20. Inland Water Systems 2005, World Resources Institute, Washington (DC).
48. Melack J.M., Hess L.L. Remote sensing of the distribution and extent of wetlands in the Amazon basin. Amazonian floodplain forests: Ecophysiology, ecology, biodiversity and sustainable management: Ecological Studies 2011, Vol. 210. Springer, Netherlands. W.J. Junk, M. Piedade, F. Wittmann, J. Schöngart, P. Parolin (Eds.).
49. Melton J.R., Wania R., Hodson E.L., Poulter B., Ringeval B., Spahni R., et al. Present state of global wetland extent and wetland methane modelling: Conclusions from a model inter-comparison project (WETCHIMP). Biogeosciences 2013, 10(2):753-788.
50. Naiman R.J., Dudgeon D. Global alteration of freshwaters: Influences on human and environmental well-being. Ecological Research 2011, 26(5):865-873.
51. Nakaegawa T. Comparison of water-related land cover types in six 1-km global land cover datasets. Journal of Hydrometeorology 2012, 13(2):649-664.
52. Nel J.L., Roux D.J., Abell R., Ashton P.J., Cowling R.M., Higgins J.V., et al. Progress and challenges in freshwater conservation planning. Aquatic Conservation: Marine and Freshwater Ecosystems 2009, 19(4):474-485.
53. Oki T., Kanae S. Global hydrological cycles and world water resources. Science 2006, 313(5790):1068-1072.
54. Padovani C.R. Dinâmica espaço-temporal das inundações do Pantanal 2010, Doctoral dissertation, Escola Superior de Agricultura "Luiz de Queiroz", Centro de Energia Nuclear na Agricultura, University of São Paulo, Piracicaba, Brasil, (174 pp.).
55. Papa F., Biancamaria S., Lion C., Rossow W.B. Uncertainties in mean river discharge estimates associated with satellite altimeter temporal sampling intervals: A case study for the annual peak flow in the context of the future SWOT hydrology mission. IEEE Geoscience and Remote Sensing Letters 2012, 9(4):569-573.
56. Papa F., Prigent C., Aires F., Jimenez C., Rossow W.B., Matthews E. Interannual variability of surface water extent at the global scale, 1993-2004. Journal of Geophysical Research 2010, 115(D12111):1-17.
57. Pontius R.G., Millones M. Death to Kappa: Birth of quantity disagreement and allocation disagreement for accuracy assessment. International Journal of Remote Sensing 2011, 32(15):4407-4429.
58. Portmann F.T., Siebert S., Döll P. MIRCA2000-Global monthly irrigated and rainfed crop areas around the year 2000: A new high-resolution data set for agricultural and hydrological modeling. Global Biogeochemical Cycles 2010, 24(1).
59. Prigent C., Matthews E., Aires F., Rossow W.B. Remote sensing of global wetland dynamics with multiple satellite data sets. Geophysical Research Letters 2001, 28(24):4631-4634.
60. Prigent C., Papa F., Aires F., Jimenez C., Rossow W.B., Matthews E. Changes in land surface water dynamics since the 1990s and relation to population pressure. Geophysical Research Letters 2012, 39:L08403.
61. Prigent C., Papa F., Aires F., Rossow W.B., Matthews E. Global inundation dynamics inferred from multiple satellite observations, 1993-2000. Journal of Geophysical Research 2007, 112(D12107):1-13.
62. Provost F.J., Domingos P. Tree induction for probability-based ranking. Machine Learning 2003, 52(3):199-215.
63. Rebelo L.M., Finlayson C.M., Nagabhatla N. Remote sensing and GIS for wetland inventory, mapping and change analysis. Journal of Environmental Management 2009, 90(7):2144-2153.
64. Rebelo L.M., Senay G.B., McCartney M.P. Flood pulsing in the Sudd Wetland: Analysis of seasonal variations in inundation and evaporation in South Sudan. Earth Interactions 2012, 16(1).
65. Ringeval B., De Noblet-Ducoudré N., Ciais P., Bousquet P., Prigent C., Papa F., et al. An attempt to quantify the impact of changes in wetland extent on methane emissions on the seasonal and interannual time scales. Global Biogeochemical Cycles 2010, 24(2).
66. Rosenqvist A., Finlayson M., Lowry J.B., Taylor D. The potential of long-wavelength satellite-borne radar to support implementation of the Ramsar Wetlands Convention. Aquatic Conservation: Marine and Freshwater Ecosystems 2007, 17:229-244.
67. Schroeder R., Rawlins M.A., McDonald K.C., Podest E., Zimmermann R., Kueppers M. Satellite microwave remote sensing of North Eurasian inundation dynamics: Development of coarse-resolution products and comparison with high-resolution synthetic aperture radar data. Environmental Research Letters 2010, 5(1):015003.
68. Strayer D.L., Dudgeon D. Freshwater biodiversity conservation: Recent progress and future challenges. Journal of the North American Benthological Society 2010, 29(1):344-358.
69. Tockner K., Stanford J.A. Riverine flood plains: Present state and future trends. Environmental Conservation 2002, 29(3):308-330.
70. USGS: U.S.Geological Survey HYDRO1k elevation derivative database 2000, Center for Earth Resource Observation and Science, Sioux Falls, S.D., USA.
71. Vörösmarty C.J. Global water assessment and potential contributions from Earth Systems Science. Aquatic Sciences 2002, 64(4):328-351.
72. Vörösmarty C.J., McIntyre P.B., Gessner M.O., Dudgeon D., Prusevich A., Green P., et al. Global threats to human water security and river biodiversity. Nature 2010, 467(7315):555-561.
73. WCMC: UNEP World Conservation Monitoring Centre Digital wetlands data set 1993, (Cambridge, UK).
74. Westerhoff R.S., Kleuskens M.P.H., Winsemius H.C., Huizinga H.J., Brakenridge G.R., Bishop C. Automated global water mapping based on wide-swath orbital synthetic-aperture radar. Hydrology and Earth System Sciences 2013, 17(2):651-663.
75. Whitcomb J., Moghaddam M., McDonald K., Kellndorfer J., Podest E. Mapping vegetated wetlands of Alaska using L-band radar satellite imagery. Canadian Journal of Remote Sensing 2009, 35(1):54-72.
76. Wood E.F., Roundy J.K., Troy T.J., van Beek L.P.H., Bierkens M.F.P., Blyth E., et al. Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth's terrestrial water. Water Resources Research 2011, 47:W05301.
77. Wu H., Kimball J.S., Li H., Huang M., Leung L.R., Adler R.F. A new global river network database for macroscale hydrologic modeling. Water Resources Research 2012, 48:W09701.