Northern Gulf of Mexico (NGOM) Ecosystem Change and Hazard Susceptibility

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Subtask: Present Day Northern Gulf Coast Landscape Structure

Subtask Leader: Monica Palaseanu-Lovejoy - Jacobs Technology, Inc./USGS St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida

Aim

In Louisiana, estimates of land loss due to recent hurricanes based on 30 m resolution Landsat images are known to be biased downward, because patchy, fragmented wetland break-up is not fully resolved by moderate resolution satellite sensors that may have a large number of mixed classification pixels (mixels). Tests over pilot areas in southern Louisiana have revealed that sub 5 m resolution commercial satellite sensors such as QuickBird and IKONOS have the potential for more accurate fractional water cover mapping that will likely lead to improved estimates of episodic land loss due to hurricane landfalls. A time series of fractional land cover maps can identify temporal changes in surface properties, such as flooding and scouring due to extreme storm events. This activity will test methodologies to effectively increase accuracy of fractional land cover mapping over large areas using multi-temporal, multi-spatial and multi-source remote sensing and geospatial data.

Study areas for fractional water maps and land / water change analysis.
Study areas for fractional water maps and land / water change analysis.
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Approach

Objectives:

  1. Provide improved estimates of Louisiana wetland land loss due to hurricane impacts since 2004 based upon a change detection mapping analysis that incorporates pre- and post landfall (Katrina, Rita, Gustav, Ike) fractional water classification of a combination of QuickBird, IKONOS, and Landsat images. This analysis will also support the historical aerial photography-based retrospective investigation of the processes of episodic land loss that is the focus of NGOM Project Subtask 3.6.
  2. Develop a strategy to identify the best data sources and methods to map and monitor wetlands over large areas using multi-temporal, multi-spatial scale and multi-source remote sensing and geospatial data. The strategy created for wetland mapping and monitoring is to be adopted within NLCD 2011 as a new method for the consistent and accurate characterization of the nation's wetlands.
Study areas to develop wetland fractional cover maps (water, vegetation, soil) and multi-temporal change detection.
Study areas to develop wetland fractional cover maps (water, vegetation, soil) and multi-temporal change detection.
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Publications

Manuscripts

Palaseanu-Lovejoy, M., Nayegandhi, A., Brock, J., Woodman, R., Wright, W.C., 2009, Evaluation of airborne Lidar data to predict vegetation Presence / AbsenceCoastal Application of Airborne Lidar Remote Sensing, Special Issue no. 53, vol. 26(6), pp. 83 - 97.

Abstracts and Presentations

Palaseanu-Lovejoy, M., Kranenburg, C., Brock, J., 2010, Land area change and fractional water maps in the Chenier Plain, Louisiana, following Atlantic hurricane Rita (2005).: U.S. Geological Survey Series Investigation Map 3141.
Palaseanu-Lovejoy, M., Kranenburg, C., Brock, J., 2009, Land area change and fractional water maps in the Chenier Plain, Louisiana, following hurricane Rita.Eos Trans. AGU, 90(52), Fall Meet. Suppl., Abstract NH43C-1339
Nayegandhi, A., Fry, J., Kranenburg, C., and Brock, J.C., 2008, High-resolution coastal land-cover classification in the Northern Gulf of Mexico [abstract and poster], in Lavoie, D., and Rosen, B., eds., USGS Gulf Coast Science Conference and Florida Integrated Science Center Meeting: Proceedings with Abstracts, October 20-23, 2008, Orlando, FL: St. Petersburg, FL, U.S. Geological Survey Open-File Report 2008-1329, p. 71.
Palaseanu, M., Nayegandhi, A., Brock, J., Woodman, R., and Wright, C.W., 2008, Evaluation of airborne lidar data to predict vegetation presence/absence [abstract]: Eos, Transactions - American Geophysical Union, v. 89, no. 53, p. B41C-0393.
Palaseanu-Lovejoy, M.E., Nayegandhi, A., Brock, J.C., Wright, C.W., and Woodman, R., 2008, Unsupervised classification of vegetation communities using airborne lidar data at Jean Lafitte National Park, Louisiana, USA [abstract #2677], in 2008 Ocean Sciences meeting, March 2-7, 2008, Orlando, FL, American Society of Limnology and Oceanography.
Palaseanu-Lovejoy, M.E., Nayegandhi, A., Brock, J.C., and Nagle, D., 2008, Unsupervised classification of vegetation communities using airborne lidar data at Naval Live Oaks Reservation, Florida [abstract], in Lavoie, D., and Rosen, B., eds., USGS Gulf Coast Science Conference and Florida Integrated Science Center Meeting: Proceedings with Abstracts, October 20-23, 2008, Orlando, FL: St. Petersburg, FL, U.S. Geological Survey Open-File Report 2008-1329, online only.

Other

Nayegandhi, A., Fry, J., Kranenburg, C., and Brock, J., 2008, High-Resolution Coastal Land-Cover Classification in the Northern Gulf of Mexico. USGS Gulf Coast Science Conference, October 2008
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