Abstract:

The data file consists of datasets of the southeastern Louisiana marshes area generated from the C version of Function Mask of Landsat Climate Data Record from 2005 to 2010. The projection is the Universal Transverse Mercator (UTM Zone 15 North). The datum is WGS-1984. Spatial resolution is 30 meters by 30 meters. The dataset consists of 29 stacked files. The datasets are collected from (year-day; in terms of Julian Day of Year): 2005042, 2005106, 2005170, 2005282, 2005298,2006061, 2006269, 2006285, 2006301, 2007048, 2007064, 2007096, 2007128, 2007224, 2008083, 2008243, 2008275, 2008307, 2008323, 2009021, 2009037, 2009245, 2009293, 2009309, 2010056, 2010088, 2010280, 2010312, 2010344. Processing was done by Yu Mo, J.C. Alexis Riter, and Michael S. Kearney of the Department of Environmental Science and Technology, University of Maryland, College Park, MD 20742.

Suggested Citation:

Kearney, Michael Sean, Mo, Yu. 2018. 2005-2010 Barataria region of south Louisiana: land versus water based on Landsat Normalized Difference Vegetation Index (NDVI). Distributed by: GRIIDC, Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N7MK6BC6

Publications:

Mo, Y., Kearney, M. S., & Turner, R. E. (2020). The resilience of coastal marshes to hurricanes: The potential impact of excess nutrients. Environment International, 138, 105409. doi:10.1016/j.envint.2019.105409

Purpose:

To evaluate the effect of the April 20 - July 15, 2010 Macondo oil-spill on Louisiana marsh vegetation and marsh substrate stability with Landsat data and to examine the variation in the phenology of marsh vegetation based on NDVI data before and after the Macondo oil-spill.

Data Parameters and Units:

Pixels on the maps are classified into different land cover types indicating using different values. Land is indicated by 0, water by 1, cloud by 4, cloud shadow by 2, NA by 255.

Methods:

The Landsat Surface Reflectance Climate Data Record (Landsat CDR) was downloaded from the USGS Earth Explorer website (http://earthexplorer.usgs.gov/). More information about the Landsat CDR is available on its USGS official website: https://landsat.usgs.gov/landsat-surface-reflectance-high-level-data-products. Information about the C version of the Function Mask can be found in Zhu, Z., and C. E. Woodcock. 2012. Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sensing of Environment 118: 83-94. Further processing of the data was performed using ENVI 4.8 (ITT Exelis, USA).

Individual Files: