Seasonally-managed wetland footprint delineation using landsat ETM+ satellite imagery

Environmental Modelling and Software

Volumn 54, Issue , 2014, Pages 9-23

  Quinn, Nigel W T ^a   Epshtein, Olga ^a,b  

^a LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

^b Arizona State University   (United States)

Author keywords

Basin hydrology; Ecohydrology; Environmental decision support; Remote sensing; Water resource management; Wetlands

Indexed keywords

BASIN HYDROLOGY; ECO-HYDROLOGY; ENHANCED THEMATIC MAPPER PLUS (ETM+); ENVIRONMENTAL DECISION SUPPORTS; EVAPOTRANSPIRATION LOSS; HIGH RESOLUTION; WATERRESOURCE MANAGEMENT; WETLAND MANAGEMENT;

DECISION SUPPORT SYSTEMS; FLOODS; REMOTE SENSING; SATELLITE IMAGERY; WATER MANAGEMENT;

WETLANDS;

DATA SET; DECISION MAKING; ECOHYDROLOGY; EVAPOTRANSPIRATION; LANDSAT THEMATIC MAPPER; REMOTE SENSING; SATELLITE IMAGERY; SEASONALITY; WATER MANAGEMENT; WATER RESOURCE; WAVELENGTH; WETLAND MANAGEMENT;

CALIFORNIA; SAN JOAQUIN BASIN; UNITED STATES;

EID: 84891895866     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2013.12.012     Document Type: Article

References (75)

1. Adam E., Mutanga O., Rugege D. Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review. Wetl. Ecol. Manag. 2010, 18:281-296.
2. Alesheikh A.A., Ghorbanali A., Nouri N. Coastline change detection using remote sensing. Int. J. Environ. Sci. Technol. 2007, 4(1):61-66.
3. Allen R.G., Prueger J.H., Hill R.W. Evapotranspiration from isolated stands of hydrophytes: cattail and bulrush. Trans. Am. Soc. Agric. Eng. 1992, 35(4):1191-1198.
4. Allen R.G., Hill R.W., Srikanth V. Evapotranspiration Parameters for Variably-sized Wetlands. 1994 International Summer ASAE/ASCE Meeting, Kansas City, Missouri, Jun 19-22 1994.
5. Allen R.G. Predicting Evapotranspiration Demands for Wetlands. ASCE Wetlands Engineering and River Restoration Conference, Denver, Colarado, Mar 20-29 1998.
6. Allen R.G., Pereira L., Raes D., Smith M. Crop Evapotranspiration, Food and Agriculture Organization of the United Nations, Rome, Italy 1998, 300p.
7. Allen R.G., Tasumi M. Evaporation from American Falls Reservoir in Idaho via a combination of Bowen ratio and eddy covariance. Proceedings of the American Society of Civil Engineers. Impacts of Global Climate Change 2005, 1-17.
8. Allen R.G., Tasumi M., Trezza R. Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC) - applications. J.Irrig. Drain. Eng. 2007, 133(4):395-406.
9. Allen R.G. New Procedure for Estimating Evaporation from Open Water and Snow in METRIC. Estimation of Evaporation from Water in METRIC 2010.
10. Allen R.G., Tasumi M., Trezza R., Kjaersgaard J. METRIC Applications Manual for Landsat Satellite Imagery. Version 2.0.7 2010.
11. Bagan H., Wang Q., Watanabe M., Yang Y., Ma J. Land cover classification from MODIS EVI times-series data using SOM neural network. Int. J. Remote Sens. 2005, 26(22):4999-5012.
12. 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.
13. Bastiaanssen W.G.M. Regionalization of Surface Flux Densities and Moisture Indicators in Composite Terrain: A Remote Sensing Approach under Clear Skies in Mediterranean Climates 1995, 273. Ph.D. dissertation, CIP Data Koninklijke Bibliotheek, Den Haag, The Netherlands.
14. Bastiaanssen W.G.M., Menenti M., Feddes R.A., Holtslag A.A.M. The surface Energy balance algorithm for land (SEBAL): Part 1 formulation. J.Hydrol. 1998, 212-213:198-212.
15. Bastiaanssen W.G.M., Pelgrum H., Wang J., Ma Y., Moreno J., Roerink G.J., van der Wal T. The surface Energy balance algorithm for land (SEBAL): Part 2 validation. J.Hydrol 1998, 212-213:213-229.
16. Berberoglu S., Yilmaz K.T., Ozkan C. Mapping and monitoring of coastal wetlands of Cukurova Delta in the Eastern Mediterranean region. Biodivers. Conserv. 2004, 13:615-633.
17. Burman R.D., Jensen M., Allen R.G. Thermodynamic Factors in Evapotranspiration. Transactions of the American Society of Civil Engineers. Irrigation Systems for the 21st Century 1986, 140-148. ASCE, New York, NY.
18. 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., Andreassian V. Characterising performance of environmental models. Environ. Model. Softw. 2013, 40:1-20. http://www.sciencedirect.com/science/article/pii/S1364815212002435.
19. Managing an Uncertain Future: Climate Change Adaptation Strategies for California's Water 2008, California Department of Water Resources (DWR), Online at:. http://www.water.ca.gov/climatechange/docs/ClimateChangeWhitePaper.pdf.
20. Ĉerná L., Chytrý M. Supervised classification of plant communities with artificial neural networks. J.Veg. Sci. 2005, 16(4):407-414.
21. 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.
22. Cook B.D., Bolstad P.V., Naesset E., Anderson R.S., Garrigues S., Morisette J.T., Nickeson J., Davis K.J. Using LiDAR and quickbird data to model plant production and quantify uncertainties associated with wetland detection and land cover generalizations. Remote Sens. Environ. 2009, 113:2366-2379.
23. Cushman S.A., McGarigal K., Neel M.C. Parsimony in landscape metrics: strength, universality, and consistency. Ecol. Indic. 2008, 8:691-703.
24. Dobson E. Mask Water. ERDAS Imagine User-submitted Spatial Models for ERDAS Imagine 2011, Path:. http://geospatial.intergraph.com/service/support/SpatialModels/Spatial_Models.aspx.
25. Donohue R.J., Roderick M.L., McVicar T.R. On the importance of including vegetation dynamics in Budyko's hydrological model. Hydrol. Earth Syst. Sci. 2007, 11:983-995.
26. Drexler J.Z., Snyder R.L., Spano D., Paw U.K.T. Areview of models and micrometeorological methods used to estimate wetland evapotranspiration. Hydrol. Process. 2004, 18:2071-2101.
27. Eklundh L. Estimating relations between AVHRR NDVI and rainfall in East Africa at 10-day and monthly time scales. Int. J. Remote Sens. 1998, 19(3):563-568.
28. Elhaddad A., Garcia L.A. AGuide to Using ReSET for Estimating Evapotranspiration 2007, Integrated Decision Support Group (IDS).
29. Elhaddad A., Garcia L.A. Surface energy balance-based model for estimating evapotranspiration taking into account spatial variability in weather. J.Irr. Drain. Eng. 2008, 134(6):681-689.
30. Frohn R.C., Reif M., Lane C., Autrey B. Satellite remote sensing of isolated wetlands using object-oriented classification of Landsat-7 data. Wetlands 2009, 29(3):931-941.
31. Gao B. NDWI - a normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sens. Environ. 1996, 58(3):257-266.
32. Harvey K.R., Hill G.J.E. Vegetation mapping of a tropical freshwater swamp in the Northern Territory, Australia: a comparison of aerial photography, Landsat TM and SPOT satellite imagery. Int. J. Remote Sens. 2001, 22:2911-2925.
33. Holben B. Characteristics of maximum-value composite images from temporal AVHRR data. Int. J. Remote Sens. 1986, 7:1417-1434.
34. Horsburgh J.S., Reede S.L. Data visualization and analysis within a hydrologic information System: integrating with the R statistical computing environment. Environ. Model. Softw. 2014, 52:51-61.
35. Ji L., Peters A.J. Assessing vegetation response to drought in the northern Great Plains using vegetation and drought indices. Remote Sens. Environ. 2003, 18(1):85-98.
36. Ji L., Zhang L., Wylie B. Analysis of dynamic threshold for the normalized difference water index. Photogramm. Eng. Remote Sens. 2009, 75(11):1307-1317.
37. Kelly M., Tuxen K.A., Stralberg D. Mapping changes to vegetation pattern in a restoring wetland: finding pattern metrics that are consistent across spatial scale and time. Ecol. Indic. 2011, 11:263-273.
38. KISTERS - North America 2011, KISTERS North America, Inc, KISTERS - Pioneering Technologies, Online at:. http://www.kisters.net/.
39. Klemas V. Remote sensing: wetlands classification. Encyclopedia of Coastal Science 2005, 804-807. Springer, Dordrecht, the Netherlands. M.L. Schwartz (Ed.).
40. Klemas V. Remote sensing of wetlands: case studies comparing practical techniques. J.Coast. Res. 2011, 27(3):418-427.
41. Klemas V. Airborne remote sensing of coastal features and processes: an overview. J.Coast. Res. 2013, 29(2):239-255.
42. Kokaly R.F., Despain D.G., Clark R.N., Livo K.E. Mapping vegetation in Yellowstone National Park using spectral feature analysis of AVIRIS data. Remote Sens. Environ. 2003, 84:437-456.
43. Lunetta R.S., Balogh M.E. Application of multi-temporal Landsat 5 TM imagery for wetland identification. Photogramm. Eng. Remote Sens. 1999, 65:1303-1310.
44. Lin Y., Liquan Z. Identification of the spectral characteristics of submerged plant Vallisneria spiralis. Acta Ecol. Sin. 2006, 26:1005-1011.
45. Macleod R.D., Congalton R.G. Aquantitative comparison of change algorithms for monitoring eelgrass from remotely sensed data. Photogramm. Eng. Remote Sens. 1998, 65:207-216.
46. Maier H.R. What constitutes a good literature review and why does its quality matter?. Environ. Model. Softw. 2013, 43:3-4.
47. Mänd P., Hallik L., Peñuelas J., Nilson T., Duce P., Emmett B.A., Beier C., Estiarte M., Garadnai J., Kalapos T., Schmidt I.K., Kovács-Láng E., Prieto P., Tietema A., Westerveld J.W., Kull O. Responses of the reflectance indices PRI and NDVI to experimental warming and drought in European shrublands along a north-south climatic gradient. Remote Sens. Environ. 2010, 114(3):626-636.
48. Maxa M., Bolstad P. Mapping northern wetlands with high resolution satellite images and LIDAR. Wetlands 2009, 29(1):248-260.
49. Ortiz B.V., Thomson S.J., Huang Y., Reddy K.N., Ding W. Determination of differences in crop injury from aerial application of glyphosate using vegetation indices. Comput. Electron. Agric. 2011, 77(2):204-213.
50. Ozesmi S.L., Bauer M.E. Satellite remote sensing of wetlands. Wetl. Ecol. Manag. 2002, 10:381-402.
51. Pettorelli N., Vik J.O., Mysterud A., Gaillard J.M., Tucker C.J., Stenseth N.C. Using the satellite-derived NDVI to assess ecological responses to environmental change. Trends Ecol. Evol. 2005, 20(9):503-510.
52. Phillips R.L., Beeri O., DeKeyser E.S. Remote wetland assessment for Missouri Coteau prairie glacial basins. Wetlands 2005, 25:335-349.
53. Phinn S.R., Stow D.A., Mouwerik D.V. Remotely sensed estimates of vegetation structural characteristics in restored wetlands, Southern California. Photogramm. Eng. Remote Sens. 1999, 65:485-493.
54. Piao S., Mohammat A., Fang J., Cai Q., Feng J. NDVI-based increase in growth of temperate grasslands and its response to climate changes in China. Glob. Environ. Change 2006, 16(4):340-348.
55. Porporato A., Laio F., Ridolfi L., Rodriguez-Iturbe I. Plants in water-controlled ecosystems: active role in hydrologic processes and response to water stress: III. Vegetation water stress. Adv. Water Resour. 2001, 24:725-744.
56. Quinn N.W.T., Karkoski J. Potential for real time management of waterquality in the San Joaquin Basin, California. J.Am. Water Resour. Assoc. 1998, 36(6).
57. Quinn N.W.T. Environmental decision support system development for seasonal wetland salt management in a river basin subjected to water quality regulation. Agric. Water Manag. 2009, 96(2):247-254.
58. Quinn N.W.T., Ortega R., Holm L. Environmental sensor networks and continuous data quality assurance to manage salinity within a highly regulated river basin. Decision Support Systems in Agriculture, Food and the Environment: Trends, Applications and Advances 2010, 420-434.
59. Quinn N.W.T., Ortega R., Rahilly P.J.A., Royer C.W. Use of environmental sensors and sensor networks to develop water and salinity budgets for seasonal wetland real-time water quality management. Environ. Model. Softw. 2010, 25:1045-1058.
60. Quinn N.W.T., Jacobs K.C., Chen C.W., Stringfellow W.T. Elements of a Decision Support System for Real-time Management of Dissolved Oxygen in the San Joaquin River Deep Water Ship Channel. Environmental Modelling and Software June 2005, Elsevier Science Ltd, LBNL Report-55929.
61. Quinn N.W.T., Widell D.L., Ortega R., Rahilly P., Beam J.A., Cook W., Sparks L., O'Dell M. Final Report for Adaptive, Coordinated Real-time Management of Wetland Drainage 2010, Prepared for the State Water Resources Control Board by Berkeley National Laboratory for the Grassland Water District.
62. Quinn N.W.T., Lee G., Cozad D. Information technology and decision support tools for stakeholder-driven river basin salinity management. IEEE Proceedings, 43rd Annual HICSS Conference, Kawaii, Hawaii, Feb 5-9 2010.
63. Rahilly P., Quinn N.W.T., Beam J.A., Widell D.L., Ortega R., Cook W., Sparks L., O'Dell M. Wetland Response to Modified Hydrology with Respect to Salinity Management: Biological Monitoring 2010, Grassland Water District, Cal Fed Agreement P0640003-01.
64. Richard Y., Poccard I. Astatistical study of NDVI sensitivity to seasonal and interannual rainfall variations in Southern Africa. Int. J. Remote Sens. 1998, 19(15):2907-2920.
65. Roerink G.J., Menenti M., Soepboer W., Su Z. Assessment of climate impact on vegetation dynamics by using remote sensing. Assessment of climate impact on vegetation dynamics by using remote sensing. Phys. Chem. Earth Parts A/B/C 2003, 28(1-3):103-109.
66. Schmidt K.S., Skidmore A.K., Kloosterman E.H., Van Oosten H., Kumar L., Janssen J.A.M. Mapping coastal vegetation using an expert system and hyperspectral imagery. Photogramm. Eng. Remote Sens. 2004, 70:703-716.
67. Tasumi M., Bastiaanssen W., Allen R.G. AStep-by-step Guide to Running SEBAL 2004, University of Idaho and International Institute for Aerospace Survey and Earth Sciences, Enschede, the Netherlands.
68. Thelen K.D., Kravchenko A.N., Lee C. Use of optical remote sensing for detecting herbicide injury in soybean. Wood Technol. 2004, 18:292-297.
69. National Water Quality Inventory: 2000 Report 2002, U.S. Environmental Protection Agency (USEPA), U.S. Environmental Protection Agency, Office of Water, Washington, DC, USA, EPA 841-R-02-001.
70. Wang X., Xie H., Guan H., Zhou X. Different responses of MODIS-derived NDVI to root-zone soil moisture in semi-arid and humid regions. J.Hydrol. 2007, 340(1-2):12-24.
71. Wright C., Gallant A. Improved wetland remote sensing in Yellowstone National Park using classification trees to combine TM imagery and ancillary environmental data. Remote Sens. Environ. 2007, 107(4):582-605.
72. Xiao X., Braswell B., Zhang Q., Boles S., Frolking S., Moore B. Sensitivity of vegetation indices to atmospheric aerosols: continental-scale observations in Northern Asia. Remote Sens. Environ. 2003, 84(3):385-392.
73. Xie Y., Sha Z., Yu M. Remote sensing imagery in vegetation mapping: a review. J.Plant Ecol. 2008, 1(1):9-23.
74. Xu H. Modification of normalized difference water index (NDWI) to enhance open water features in remotely sensed imagery. Int. J. Remote Sens. 2006, 27(14):3025-3033.
75. YSI Inc./Xylem Inc YSI EcoNet - Web Enabled Monitoring and Control. Environmental Monitoring Data to the Web 2012, Online at:. http://www.ysieconet.com/.