Authors: Jing Liu*,
Topics: Remote Sensing, Global Change, Remote Sensing
Keywords: NDVI, Coastal Vertical Accretion, Remote Sensing
Session Type: Poster
Start / End Time: 5:20 PM / 7:00 PM
Room: Napoleon Foyer/Common St. Corridor, Sheraton, 3rd Floor
Presentation File: No File Uploaded
Riverine-dominated coastal wetlands in Louisiana are experiencing submergence due to sea level rise (SLR) and associated high rate of land subsidence. Inadequate vertical accretion rate has lead to a loss of approximately 5,000 km2 of wetlands over the past century. Mineral sediment and organic matter accumulation are two major determinants contribute to vertical accretion. Past Studies show the majority of soil organic matter results from in situ production by local vegetation. Employed here are remote sensing indices and time-series analysis to determine to what extent vegetation impacts vertical accretion in coastal wetlands. A point dataset of empirical in situ vertical accretion data for coastal Louisiana for a period between 2010-2017 was compared to results from a Normalized Difference Vegetation Index (NDVI) applied to multiple Landsat TM satellite images from the same time period. Time series analysis was used to describe and model the important accretion patterns and to explain how the coverage of vegetation impacts vertical accretion in coastal Louisiana. Finally, the wetlands accretion model was tested with current SLR rates to develop a landscape elevation model that improves the integrity of SLR vulnerability assessment for coastal wetlands. These results provide insight into the sensitivity of coastal wetlands from the interactions of both vegetation and long-term environmental conditions.