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Yellowstone Ecological Forecasting: Assessing Change in Aspen Extent in Northern Yellowstone National ParkThe removal and reintroduction of the gray wolf (Canis lupus) in Yellowstone National Park have shaped the ecological composition of this distinct landscape, representing a textbook example of trophic dynamics. With particular importance to conservation science, researchers have studied the trophic cascades between wolves and species such as elk (Cervus canadensis) and quaking aspen (Populus tremuloides). In conjunction with the National Park Service, Yellowstone National Park, Utah State University, and the University of Wisconsin–Stevens Point, this project utilized satellite remote sensing to investigate the long-term trends in aspen extent. Through random forest modeling and phenological approaches, Landsat 5 Thematic Mapper (TM; years 1986–2011) and Sentinel-2 Multispectral Instrument (MSI; years 2017–2019) datasets were used to derive color composites, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), and Tasseled Cap Indices (Brightness, Greenness, Wetness). The International Space System (ISS) Global Ecosystem Dynamics Investigation (GEDI) provided canopy height data. The team consolidated results into maps and time-series which provide an in-depth depiction of aspen stand extent. The National Park Service will use these end products to assist in its management practices and inform wildlife restoration decisions within and beyond Yellowstone National Park.
Document ID
20220015305
Acquisition Source
Langley Research Center
Document Type
Other - DEVELOP Summer 2022 Technical Rxeport
Authors
Kyle Steen
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Vanessa Bailey
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Gabriella Boodhoo
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Barry McLaughlin
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Date Acquired
October 12, 2022
Publication Date
August 11, 2022
Subject Category
Earth Resources And Remote Sensing
Funding Number(s)
WBS: 970315.02.02.01.08
CONTRACT_GRANT: NNL16AA05C
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
Professional Review
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