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Satellite optical and radar data used to track wetland forest impact and short-term recovery from Hurricane Katrina

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Abstract

Satellite Landsat Thematic Mapper (TM) and RADARSAT-1 (radar) satellite image data collected before and after the landfall of Hurricane Katrina in the Pearl River Wildlife Management Area on the Louisiana-Mississippi border, USA, were applied to the study of forested wetland impact and recovery. We documented the overall similarity in the radar and optical satellite mapping of impact and recovery patterns and highlighted some unique differences that could be used to provide consistent and relevant ecological monitoring. Satellite optical data transformed to a canopy foliage index (CFI) indicated a dramatic decrease in canopy cover immediately after the storm, which then recovered rapidly in the Taxodium distichum (baldcypress) and Nyssa aquatica (water tupelo) forest. Although CFI levels in early October indicated rapid foliage recovery, the abnormally high radar responses associated with the cypress forest suggested a persistent poststorm difference in canopy structure. Impact and recovery mapping results showed that even though cypress forests experienced very high wind speeds, damage was largely limited to foliage loss. Bottomland hardwoods, experiencing progressively lower wind speeds further inland, suffered impacts ranging from increased occurrences of downed trees in the south to partial foliage loss in the north. In addition, bottomland hardwood impact and recovery patterns suggested that impact severity was associated with a difference in stand structure possibly related to environmental conditions that were not revealed in the prehurricane 25-m optical and radar image analyses.

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Literature Cited

  • Baran, I. 2004. Advanced satellite radar interferometry for smallscale surface deformation detection. Doctoral Thesis. Western Australia School of Mines, Department of Spatial Sciences, Curtin University of Technology, Bentley, Australia.

    Google Scholar 

  • Boose, E., D. Foster, and M. Fluet. 1994. Hurricane impacts to tropical temperate forest landscapes. Ecological Monographs 64: 369–400.

    Article  Google Scholar 

  • Campo, Kimberly D. and T. M. Rickenbach. 2006. Eyewall evolution of Hurricane Katrina near landfall using NEXRAD reflectivity and radial velocity data. In Proceedings of the 27th American Meteorological Society Conference on Hurricanes and Tropical Meteorology, 24–28 April 2006. Monterey, California. http://ams.confex.com/ams/pdfpapers/l08456.pdf

  • Chabreck, R. 1970. Marsh zones and vegetative types in the Louisiana coastal marshes. Ph.D. Dissertation. Louisiana State University, Baton Rouge, LA, USA.

    Google Scholar 

  • Chambers, J., J. Fisher, H. Zeng, E. Chapman, D. Baker, and G. Hurtt. 2007. Hurricane Katrina’s carbon footprint on U.S. Gulf Coast forest. Science 318(5853): 1107.

    Article  CAS  PubMed  Google Scholar 

  • Dobson, C., F. Ulaby, and L. Pierce. 1995. Land-cover classification and estimation of terrain attributes using synthetic aperture radar. Remote Sensing of Environment 51: 199–214.

    Article  Google Scholar 

  • Elachi, C. T. 1988. Spaceborne Radar Remote Sensing: Applications and Techniques. IEEE Press, New York, NY, USA.

    Google Scholar 

  • Haack, B. N. and E. T. Slonecker. 1994. Merged spaceborne radar andthematic mapper digital data for locating villages in Sudan. Photogrammetric Engineering and Remote Sensing 60: 1253–57.

    Google Scholar 

  • Hartley, S., R. Pace III, J. B. Johnston, M. Swan, C. O’Neil, L. Handley, and L. Smith. 2000. A GAP analysis of Louisiana. U.S. Department of the Interior, U.S. Geological Survey, Lafayette, LA, USA. Final report and data (2 CD-ROMs).

  • Jensen, J. 2000. Remote Sensing of the Environment. An Earth Resource Perspective. Prentice Hall, Englewood Cliffs, NJ, USA.

    Google Scholar 

  • Jensen, J., E. Ramsey, H. Mackey, E. Christensen, and R. Sharitz. 1987. Inland wetland change detection using aircraft MSS data. Photogrammetric Engineering and Remote Sensing 53: 521–528.

    Google Scholar 

  • Kasischke, E. and L. Bourgeau-Chavez. 1997. Monitoring south Florida wetlands using ERS-1 SAR imagery. Photogrammetric Engineering and Remote Sensing 63: 281–91.

    Google Scholar 

  • Klemas, V., J. Dobson, R. Ferguson, and K. Haddad. 1993. A coastal land cover classification system for the NOAA Coast-watch Change analysis project. Journal of Coastal Research 9: 862–72.

    Google Scholar 

  • Lewis, A., F. Henderson, and D. Holcomb. 1998. Radar fundamentals: the geoscience perspective. p. 131–81. In F. Henderson and A. Lewis (eds.) Principles and Applications of Imaging Radar. John Wiley & Sons, Inc, New York, NY, USA.

    Google Scholar 

  • Louisiana Department of Wildlife and Fisheries, Pearl River Wildlife Management Area. n.d. http://www.wlf.louisiana.gov/ hunting/wmas/wmas/list.cfm?wmaid=35. 2 October 2008.

  • Lozano-Garcia, F. and R. Hoffer. 1993. Synergistic effects of combined Landsat-TM and SIR-B data for forest resources assessment. International Journal of Remote Sensing 14: 2677–94.

    Article  Google Scholar 

  • Lu, Z., M. Crane, O. Kwoun, C. Wells, C. Swarzenski, and R. Rykhus. 2005. C-band radar observes water-level change in swamp forests. Eos, Transactions, American Geophysical Union 86(14): 141–44.

    Google Scholar 

  • Lu, Z. and O. Kwoun. 2008. Radarsat-1 and ERS interferometric analysis over southeastern coastal Louisiana: implication for mapping water-level changes beneath swamp forests. IEEE Transactions in Geoscience of Remote Sensing 46: 2167–84.

    Article  Google Scholar 

  • Lunetta, R., J. Lyon, B. Guindon, and C. Elvidge. 1998. North American landscape characterization dataset development and data fusion issues. Photogrammetric Engineering and Remote Sensing 64: 821–29.

    Google Scholar 

  • Lyon, J. and J. McCarthy. 1981. Seasat imagery for detection of coastal wetlands, p. 1475–85. In Proceedings of the Fifteenth International Symposium on Remote Sensing of Environment. ERIM, ANN Arbor, MI, USA.

    Google Scholar 

  • Michener, W. K., E. R. Blood, K. L. Bildstein, M. M. Brinson, and L. R. Gardner. 1997. Climate change, hurricanes and tropical storms, and rising sea level in coastal wetlands. Ecological Applications 7: 770–803.

    Article  Google Scholar 

  • Middleton, B. A. 2009. Regeneration of coastal marsh vegetation impacted by Hurricane Katrina. Wetlands 29: 54–65.

    Article  Google Scholar 

  • PCI Geomatics. 1998. Using PCI Software, Version 6.3 EASZIPACE. PCI Geomatics, Richmond Hill, Ontario, Canada (software documentation).

    Google Scholar 

  • Pope, K., E. Rejmankova, J. Paris, and R. Woodruff. 1997. Detecting seasonal flooding cycles in marshes of the Yucatan Peninsula with SIR-C polarimetric radar imagery. Remote Sensing of Environment 59: 157–66.

    Article  Google Scholar 

  • Ramsey, E. III. 1998. Radar remote sensing of wetlands, p. 211–14. In R. Lunetta and C. Elvidge (eds.) Remote Sensing Change Detection: Environmental Monitoring Methods and Applications. Ann Arbor Press Inc., Ann Arbor, MI, USA.

    Google Scholar 

  • Ramsey, E. III. 2005. Remote sensing of coastal environments. p. 797–803. In M. L. Schwartz (ed.) Encyclopedia of Coastal Science, Encyclopedia of Earth Sciences Series. Kluwer Academic Publishers, Dordrecht, The Netherlands.

    Google Scholar 

  • Ramsey, E. III, D. Chappell, and D. Baldwin. 1997. AVHRR imagery used to identify Hurricane Andrew damage in a forested wetland of Louisiana. Photogrammetric Engineering and Remote Sensing 63: 293–97.

    Google Scholar 

  • Ramsey, E. III, D. Chappell, D. Jacobs, S. Sapkota, and D. Baldwin. 1998a. Resource management of forested wetlands: hurricane impact and recovery mapped by combining Landsat TM and NOAA AVHRR data. Photogrammetric Engineering and Remote Sensing 64: 733–38.

    Google Scholar 

  • Ramsey, E. III, M. Hodgson, S. Sapkota, and G. Nelson. 2001a. Forest impact estimated with NOAA AVHRR and Landsat TM data related to an empirical hurricane wind field distribution. Remote Sensing of Environment 77: 279–92.

    Article  Google Scholar 

  • Ramsey, E. III, Z. Lu, A. Rangoonwala, and R. Rykhus. 2006. Multiple baseline radar interferometry applied to coastal landscape classification and change analyses. GIScience and Remote Sensing 43: 283–09.

    Article  Google Scholar 

  • Ramsey, E. III, G. Nelson, and S. Sapkota. 1998b. Classifying coastal resources by integrating optical and radar imagery and color infrared photography. Mangroves and Salt Marshes 2: 109–19.

    Article  Google Scholar 

  • Ramsey, E. III, G. Nelson, and S. Sapkota. 2001b. Coastal change analysis program implemented in Louisiana. Journal of Coastal Research 17: 55–71.

    Google Scholar 

  • Ramsey, E. III, G. Nelson, S. Sapkota, S. Laine, J. Verdi, and S. Krasznay. 1999. Using multiple polarization L band radar to monitor marsh burn recovery. IEEE Transactions in Geoscience of Remote Sensing 37: 635–639.

    Article  Google Scholar 

  • Ramsey III, E., A. Rangoonwala, and R. Ehrlich. 2005. Mapping the invasive species, Chinese Tallow with EO1 satellite Hyperion hyperspectral image data and relating tallow percent occurrences to a classified Landsat Thematic Mapper landcover map. International Journal of Remote Sensing 26: 1637–57.

    Article  Google Scholar 

  • Ramsey, E. III. and M. Strong. 2000. Conveying multiple, complex themes and classes for natural resource assessments. /Geocarto International 15(2): 29–35.

    Google Scholar 

  • Rebillard, P. and D. Evans. 1983. Analysis of coregistered Landsat, Seasat and SIR-A images of varied terrain types. Geophysical Research Letters 10: 277–80.

    Article  Google Scholar 

  • Sader, S. A. and J. C. Winne. 1992. RGB-NDVI color composites for visualizing forest change dynamics. International Journal of Remote Sensing 13: 3055–67.

    Article  Google Scholar 

  • Tou, J. and R. Gonzalez. 1974. Pattern Recognition Principles. Addison-Wesley, Reading, MA, USA.

    Google Scholar 

  • Treuhaft, R., G. Asner, B. Law, and S. Tuyl. 2002. Forest leaf area density profiles from the quantitative fusion of radar and hyperspectral data. Journal of Geophysical Research 107(D21): 7-1–7-13.

    Article  Google Scholar 

  • Ulaby, F. T. and M. C. Dobson. 1989. Handbook of Radar Scattering Statistics for Terrain. Artech House, Norwood, MA, USA.

    Google Scholar 

  • Ustin, S. L., C. A. Wessman, B. Curtiss, E. Kasischke, J. Way, and V. Vanderbilt. 1991. Opportunities for using the EOS imaging spectrometers and synthetic aperture radar in ecological models. Ecology 72: 1934–45.

    Google Scholar 

  • Wardlow, B. and S. Egbert. 2003. A state-level comparative analysis of the GAP and NLCD land-cover data sets. Photogrammetric Engineering and Remote Sensing 69: 1387–97.

    Google Scholar 

  • Waring, R., J. Way, E. Hunt, Jr., L. Morrissey, K. Ranson, J. Weishampel, R. Oren, and S. Franklin. 1995. Imaging radar for ecosystem studies. BioScience 45: 715–23.

    Article  Google Scholar 

  • Wikimedia Commons. n.d. Hurricane Katrina winds 1500ut-c29Aug05 landfall MS.gif, http://commons.wikimedia.org/wiki/ Image:Hurricane_Katrina. 30 September 2008.

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Authors and Affiliations

  1. U.S. Geological Survey, National Wetlands Research Center, 700 Cajundome Blvd., 70506, Lafayette, Louisiana, USA

    Elijah Ramsey & Beth Middleton

  2. World Services Inc., IAP, 700 Cajundome Blvd., 70506, Lafayette, Louisiana, USA

    Amina Rangoonwala

  3. Earth Resources Observation and Science (EROS) Center and Cascades VolcanoObservatory, U.S. Geological Survey, 98683, Vancouver, Washington, USA

    Zhong Lu

Authors
  1. Elijah Ramsey
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  2. Amina Rangoonwala
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  3. Beth Middleton
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  4. Zhong Lu
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Correspondence to Elijah Ramsey.

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Ramsey, E., Rangoonwala, A., Middleton, B. et al. Satellite optical and radar data used to track wetland forest impact and short-term recovery from Hurricane Katrina. Wetlands 29, 66–79 (2009). https://doi.org/10.1672/08-103.1

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  • DOI: https://doi.org/10.1672/08-103.1

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