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Classification of Forested Wetland Degradation Using Ordination of Multitemporal Reflectance

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Abstract

Remote sensing classifications of wetland ecosystems can be difficult because of temporal variability of plant cover and hydrological conditions. We developed a multitemporal classification scheme to control for these factors in forested wetlands by classifying pixels within a principal-components ordination of multitemporal reflectance, using data from three Landsat bands from each of seven scenes across a 3-year period in each of two phenological conditions. The principal components of reflectance that defined the classification were statistically related to vegetative conditions of the Louisiana field sites in interpretable ways, so the resulting classification represents the desired ecological gradients more robustly than single-image classifications.

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References

  • Allen JA, Pezeshki SR, Chambers JL (1996) Interaction of flooding and salinity stress on baldcypress (Taxodium distichum). Tree Physiology 16:307–313

    Article  PubMed  Google Scholar 

  • Allen YC, Constant GC, Couvillion BR (2008) Preliminary classification of water areas within the Atchafalaya Basin Floodway System by using Landsat imagery: U.S. Geological Survey Open-File Report 2008–1320, 14 p

  • Asner GP (1998) Biophysical and biochemical sources of variability in canopy reflectance. Remote Sensing of Environment 64:234–253

    Article  Google Scholar 

  • Barras JA, Bourgeois PE, Handley LR (1994) Land loss in coastal Louisiana 1956–90. National Biological Survey, National Wetlands Research Center, Open File Report 94-01

  • Boesch DF, Josselyn MN, Mehta AJ, Morris JT, Nuttle WK, Simenstad CA, Swift D (1994) Scientific assessment of coastal wetland loss, restoration and management in Louisiana. Journal of Coastal Research SI20:1–103

    Google Scholar 

  • Bunnell FL, Vales DJ (1990) Comparison of methods for estimating forest overstory cover—differences among techniques. Canadian Journal of Forest Research 20:101–107

    Article  Google Scholar 

  • Chander G, Markham B (2003) Revised Landsat-5 TM Radiometric calibration procedures and postcalibration dynamic ranges. IEEE Transactions on Geoscience and Remote Sensing 41:2674–2677

    Article  Google Scholar 

  • Comeau PG, Gendron F, Letchford T (1998) A comparison of several methods for estimating light under a paper birch mixedwood stand. Canadian Journal of Forest Research 28:1843–1850

    Article  Google Scholar 

  • Conner WH, Brody M (1989) Rising water levels and the future of southeastern Louisiana swamp forests. Estuaries 12:318–323

    Article  Google Scholar 

  • Conner WH, Day JW Jr (1992) Water level variability and litterfall productivity of forested fresh-water wetlands in Louisiana. American Midland Naturalist 128:237–245

    Article  Google Scholar 

  • Conner WH, Toliver JR (1990) Long-term trends in the baldcypress (Taxodium distichum [L.] Rich.) resource in Louisiana. Forest Ecology and Management 33(34):543–557

    Article  Google Scholar 

  • Conner WH, Gosselink JG, Parrondo RT (1981) Comparison of the vegetation of three Louisiana swamp sites with different flooding regimes. American Journal of Botany 68:320–331

    Article  Google Scholar 

  • Cowardin LM, Carter V, Golet FC, La Roe ET (1979) Classification of wetlands and deepwater habitats in the United States. U.S. Dept. Interior, Fish & Wildlife Service, FWS/OBS-79/31

  • Curtis RO (1970) Stand density measures: an interpretation. Forest Science 16:403–414

    Google Scholar 

  • Day JW Jr, Templet P (1989) Consequences of sea level rise: implications from the Mississippi Delta. Coastal Management 17:241–257

    Article  Google Scholar 

  • Effler RS, Goyer RA (2006) Baldcypress and water tupelo sapling response to multiple stress agents and reforestation implications for Louisiana swamps. Forest Ecology and Management 226:330–340

    Article  Google Scholar 

  • Faulkner SP, Bhattarai P, Allen Y, Barras J, Constant G (2009) Identifying baldcypress-water tupelo regeneration classes in forested wetlands of the Atchafalaya Basin, Louisiana. Wetlands 29:809–817

    Article  Google Scholar 

  • Gower ST, Norman JM (1991) Rapid estimation of leaf area index in conifer and broad-leaf plantations. Ecology 72:1896–1900

    Article  Google Scholar 

  • Goyer RA, Lenhard GJ, Smith JD (1990) Insect herbivores of a bald-cypress/tupelo ecosystem. Forest Ecology and Management 33(34):517–521

    Article  Google Scholar 

  • Greet J, Webb JA, Cousens RD (2011) The importance of seasonal flow timing for riparian vegetation dynamics: a systematic review using causal criteria analysis. Freshwater Biology 56:1231–1247

    Article  Google Scholar 

  • Hair JF, Anderson RE, Titham RL, Black WC (1998) Multivariate data analysis, 5th edn. Prentice-Hall, Upper Saddle River

    Google Scholar 

  • Horler DN, Ahern FJ (1986) Forestry information content of Thematic Mapper data. International Journal of Remote Sensing 7:405–428

    Article  Google Scholar 

  • Huguenin RL, Karaska MA, Van Blairicom D, Jensen JR (1997) Subpixel classification of bald cypress and tupelo gum trees in thematic mapper imagery. Photogrammetric Engineering and Remote Sensing 63:717–725

    Google Scholar 

  • Jensen JR (2000) Remote sensing of the environment—an earth resource perspective. Prentice Hall, Englewood Cliffs

    Google Scholar 

  • Keim RF, Dean TJ, Chambers JL, Conner WH (2010) Stand density relationships in baldcypress. Forest Science 56:336–343

    Google Scholar 

  • Keim RF, Izdepski CW, Day JW (2012) Growth responses of baldcypress to wastewater nutrient additions and changing hydrologic regime. Wetlands 32:95–103

    Article  Google Scholar 

  • Kruskal JB (1964) Nonmetric multidimensional scaling: a numerical method. Psychometrika 29:115–129

    Article  Google Scholar 

  • Kruskal JB, Wish M (1978) Multidimensional scaling. Sage Publications, Beverly Hills

    Google Scholar 

  • Mancil E (1980) Pullboat logging. Forest & Conservation History 24:135–141

    Article  Google Scholar 

  • Mather PM (1976) Computational methods of multivariate analysis in physical geography. John Wiley & Sons, London

    Google Scholar 

  • McCune B, Mefford MJ (1999) PC-ORD, multivariate analysis of ecological data. MjM Software, Gleneden Beach

    Google Scholar 

  • McCune B, Grace JB, Urban DL (2002) Analysis of ecological communities. MjM Software, Gleneden Beach

    Google Scholar 

  • Meadows JS, Burkhardt EC, Johnson RL, Hodges JD (2001) A numerical rating system for crown classes of southern hardwoods. Southern Journal of Applied Forestry 25:154–158

    Google Scholar 

  • Parresol BR, Hotvedt JE (1990) Diameter measurement in baldcypress. Forest Ecology and Management 33(34):509–515

    Article  Google Scholar 

  • Penland S, Conner PF, Beall A, Feranley S, Williams SJ (2005) Changes in Louisiana’s shoreline: 1855–2002. Journal of Coastal Research SI44:7–39

    Google Scholar 

  • Pezeshki SR, DeLaune RD, Patrick WH Jr (1990) Flooding and saltwater intrusion: potential effects on survival and productivity of wetland forests along the U.S. Gulf Coast. Forest Ecology and Management 33(34):287–301

    Article  Google Scholar 

  • Reed DJ (2002) Seal-level and coastal marsh sustainability in the Mississippi Delta Plain. Geomorphology 48:233–243

    Article  Google Scholar 

  • Schmidt KS, Skidmore AK (2003) Spectral discrimination of vegetation types in a coastal wetland. Remote Sensing of Environment 85:92–108

    Article  Google Scholar 

  • Shaffer GP, Wood WB, Hoeppner SS, Perkins TE, Zoller J, Kandalepas D (2009) Degradation of baldcypress-water tupelo swamp to marsh and open water in southeastern Louisiana, USA: an irreversible trajectory? Journal of Coastal Research Special Issue 54:152–165

    Article  Google Scholar 

  • Steyer GD, Sasser CE, Visser JM, Swenson EM, Nyman JA, Raynie RC (2003) A proposed coast-wide reference monitoring system for evaluating wetland restoration trajectories in Louisiana. Environmental Monitoring and Assessment 81:107–117

    Article  PubMed  Google Scholar 

  • Tockner K, Pusch M, Borchardt D, Lorang MS (2010) Multiple stressors in coupled river–floodplain ecosystems. Freshwater Biology 55(suppl. 1):131–151

    Google Scholar 

  • Townsend PA, Walsh SJ (2001) Remote sensing of forested wetlands: application of multitemporal and multispectral satellite imagery to determine plant community composition and structure in southeastern USA. Plant Ecology 157:129–149

    Article  Google Scholar 

  • Walker HJ, Coleman LM, Roberts HH, Tye RS (1987) Wetland loss in Louisiana. Geografiska Annaler A 69:189–200

    Article  Google Scholar 

  • Wang F (1990) Fuzzy supervised classification of remote sensing images. Geoscience and Remote Sensing IEEE Transactions on Geoscience and Remote Sensing 28:194–201

    Article  Google Scholar 

  • Waring RH (1985) Imbalanced forest ecosystems: assessments and consequences. Forest Ecology and Management 12:163–170

    Article  Google Scholar 

  • Whited DC, Lorang MS, Harner MJ, Hauer FR, Kimball JS, Stanford JA (2007) Climate, hydrologic disturbance, and succession: drivers of floodplain pattern. Ecology 88:940–953

    Article  PubMed  Google Scholar 

  • Young PJ, Keeland BD, Sharitz RR (1995) Growth-response of baldcypress (Taxodium distichum [L.] Rich.) to an altered hydrologic regime. American Midland Naturalist 133:206–212

    Article  Google Scholar 

Download references

Acknowledgments

Support for this work was from the Louisiana Office of the Governor Coastal Activities Program for Applied Research in the Coastal Area (GOCA-PARCA) under project LSU-AG940-40-4186, by Louisiana Office of the Governor under agreement No. 631667, and by CSREES/USDA under project number LAB93735. This is manuscript 2012-241-7575 of the Louisiana Agricultural Research Station. Rudy Sparks of Williams, Inc. provided valuable field expertise and access to study sites. Peggy McClain, Winston McKenna, Will deGravelles, Greg Badon, and Amy Magro assisted with data collection and analysis.

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Correspondence to Richard F. Keim.

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Keim, R.F., Zoller, J.A., Braud, D.H. et al. Classification of Forested Wetland Degradation Using Ordination of Multitemporal Reflectance. Wetlands 33, 1103–1115 (2013). https://doi.org/10.1007/s13157-013-0466-1

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  • DOI: https://doi.org/10.1007/s13157-013-0466-1

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