Satellite-Based Assessment of Grassland Conversion and Related Fire Disturbance in the Kenai Peninsula, Alaska.

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ID: 92019
2019
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Abstract
Spruce beetle-induced (Dendroctonus rufipennis (Kirby)) mortality on the Kenai Peninsula has heightened local wildfire risk as canopy loss facilitates the conversion from bare to fire-prone grassland. We collected images from NASA satellite-based Earth observations to visualize land cover succession at roughly five-year intervals following a severe, mid-1990's beetle infestation to the present. We classified these data by vegetation cover type to quantify grassland encroachment patterns over time. Raster band math provided a change detection analysis on the land cover classifications. Results indicate the highest wildfire risk is linked to herbaceous and black spruce land cover types, The resulting land cover change image will give the Kenai National Wildlife Refuge (KENWR) ecologists a better understanding of where forests have converted to grassland since the 1990s. These classifications provided a foundation for us to integrate digital elevation models (DEMs), temperature, and historical fire data into a model using Python for assessing and mapping changes in wildfire risk. Spatial representations of this risk will contribute to a better understanding of ecological trajectories of beetle-affected landscapes, thereby informing management decisions at KENWR.
Reference Key
hess2019satellitebasedremote Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Hess, Katherine A;Cullen, Cheila;Cobian-Iñiguez, Jeanette;Lenske, Victor;Ramthun, Jacob S;Magness, Dawn R;Bolten, John D;Foster, Adrianna C;Spruce, Joseph;
Journal remote sensing
Year 2019
DOI
10.3390/rs11030283
URL
Keywords
land cover wildfire grassland change detection risk modeling alaska

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