GRIIDC | R4.x264.000:0061

Dataset Available

1988-2013 southeastern Louisiana: Land versus water based on Landsat Normalized Difference Vegetation Index (NDVI)

Authors: Kearney, Michael Sean, Mo, Yu

Published On: Aug 23 2018 13:50 UTC

DOI: https://doi.org/10.7266/N7GX491R

UDI: R4.x264.000:0061

Files

Individual Files

No. of Downloads: 2

No. of Files: 2

File Size: 3.24 GB

File Format(s):
hdr, ENVI

Project Information

Funded By:
Gulf of Mexico Research Initiative

Funding Cycle:
RFP-IV

Research Group:
Coastal Waters Consortium II (CWC II)

Point of Contact

Michael Sean Kearney
University of Maryland / Department of Environmental Science and Technology
kearneym@umd.edu

Data Collection Period

1988-01-01

2013-12-31

Theme keywords

Macondo oil spill, Area, Landsat Normalized Difference Vegetation Index, NDVI, Land cover, Plant phenology, Marsh

ISO 19115-2 Metadata

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Abstract:

The data file contains datasets from southeastern Louisiana marshes area generated from the C version of Function Mask of Landsat Climate Data Record from 1988 to 2013. The projection is the Universal Transverse Mercator (UTM Zone 15 North). The datum is WGS-1984. Spatial resolution is 30 meters by 30 meters. Land is indicated by 0, water by 1, cloud by 4, cloud shadow by 2, NA by 255. The dataset consists of 18 stacked files. The datasets are collect from (year-day; in terms of Julian Day of Year): 1988028, 1988044, 1997020, 1997036, 1997244, 1997276, 1997308, 1997340, 2001143, 2001271, 2001303, 2001319, 2001335, 2007048, 2007064, 2007096, 2007224, 2013352. 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. Data generated from the C version of Function Mask of Landsat Climate Data Record from 2005-2010 are available under GRIIDC UDI R4.x264.000:0060 (DOI:10.7266/N7MK6BC6).

Suggested Citation:

Kearney, Michael Sean, Mo, Yu. 2018. 1988-2013 southeastern 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/N7GX491R

Publications:

Mo, Y., Kearney, M. S., & Turner, R. E. (2019). Feedback of coastal marshes to climate change: Long-term phenological shifts. Ecology and Evolution, 9(12), 6785–6797. doi:10.1002/ece3.5215

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).