File Details

Title Landsat imagery analysis of Spartina alterniflora aboveground biomass patterns in the Altamaha estuary zone of the GCE research domain
Archive All Files / Other Files / Research Data / Yes (summary of long-term satellite data analysis)
Description

This data set uses USGS archival Landsat 5 and 8 imagery to study long-term spatio-temporal patterns of aboveground biomass in the foundational salt marsh species Spartina alterniflora. These data are a subcompnent of a whole-Georgia coast comparison of ten estuaries (USGS-delineated HUCs) that encompass the entire Georgia coast. The present data set were used in a gap-filling and wavelet analysis by Kadir Bice, a GCE LTER supported graduate student at the University of Georgia - Athens, to determine which hydrologic, climatic, and weather variables best explain Spartina biomass temporal patterns at different time scales. As of this posting, a manuscript of this data analysis and results (K. Bice, J. Schalles, J. Sheldon, M. Alber, and C. Meile) is in review. Metadata and citations related to methodological procedures are enclosed in the accompanying Excel spreadsheet.

Contributor John Schalles
Citation

John Schalles. 2023. Landsat imagery analysis of Spartina alterniflora aboveground biomass patterns in the Altamaha estuary zone of the GCE research domain. Georgia Coastal Ecosystems LTER File Archive, University of Georgia, Athens, Georgia. (https://gce-lter.marsci.uga.edu/public/app/resource_details.asp?id=1015&version=1)

Key Words aboveground biomass, ENVI image processing, ENVI imagery analysis, geospatial analysis, Landsat imagery, long-term monitoring, Spartina alterniflora
File Date Feb 13, 2023 (version 1)
Web Link MS Excel file
view/download MS Excel file
(7081 kb)
LTER
NSF

This material is based upon work supported by the National Science Foundation under grants OCE-9982133, OCE-0620959, OCE-1237140 and OCE-1832178. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.