IEDA
Project Information
Collaborative Research: Remote characterization of microbial mats in Taylor Valley, Antarctica through in situ sampling and spectral validation
Short Title:
Remote characterization of microbial mats in Taylor Valley
Start Date:
2018-04-01
End Date:
2021-03-31
Description/Abstract
This package contains data collected from microbial mat surveys (i.e., percent cover, ash-free dry mass (AFDM), and pigment concentrations – chlorophyll-a, scytonemin, and carotenoids) associated with satellite-derived Normalized Difference Vegetation Index (NDVI) values from the Lake Fryxell Basin of Taylor Valley, located in the McMurdo Dry Valleys of Antarctica. The purpose of this study was to quantitatively compare key microbial mat characteristics to NDVI. Data were collected at seven plot locations within the Canada Glacier Antarctic Specially Protected Area (ASPA) near Canada Stream, as well as alongside Green Creek and McKnight Creek. NDVI values were derived from a WorldView-2 multispectral satellite image taken of the Lake Fryxell Basin on January 19, 2018, while biological ground surveying and sampling were conducted during the 2nd and 4th weeks of January 2018.
Personnel
Person Role
Barrett, John Investigator and contact
Power, Sarah Other
Salvatore, Mark Investigator
Funding
Antarctic Organisms and Ecosystems Award # 1744785
AMD - DIF Record(s)
Deployment
Deployment Type
John E. Barrett field camp
Sarah Power field camp
Data Management Plan
None in the Database
Product Level:
0 (raw data)
Publications
  1. Sokol, E. R., Barrett, J. E., Kohler, T. J., McKnight, D. M., Salvatore, M. R., & Stanish, L. F. (2020). Evaluating Alternative Metacommunity Hypotheses for Diatoms in the McMurdo Dry Valleys Using Simulations and Remote Sensing Data. Frontiers in Ecology and Evolution, 8. (doi:10.3389/fevo.2020.521668)
  2. Salvatore, M. R., S. R.Borges, J. E. Barrett, S. N. Power, L. F. Stanish, and E. R. Sokol. 2021. Counting carbon: Quantifying biomass in the McMurdo Dry Valleys through orbital and field observations. International Journal of Remote Sensing 42:22, 8597-8623. (DOI: 10.1080/01431161.2021.1981559)
Platforms and Instruments

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