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Smith, C. W., Panda, S. K., Bhatt, U. S., Meyer, F. J., & Haan, R. W. (2020). Improved Vegetation and Wildfire Fuel Type Mapping Using NASA AVIRIS-NG Hyperspectral Data, Interior AK. In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium (pp. 1307-1310). IEEE.
Smith, Christopher W., et al. "Improved Vegetation and Wildfire Fuel Type Mapping Using NASA AVIRIS-NG Hyperspectral Data, Interior AK." IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2020.
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CW Smith, SK Panda, US Bhatt… - IGARSS 2020-2020 …, 2020 - ieeexplore.ieee.org

Improved Vegetation and Wildfire Fuel Type Mapping Using NASA AVIRIS-NG Hyperspectral Data, Interior AK.

EPSCoR Research Infrastructure Improvement Program AND Program Evaluation

Panda, Smith

GSID: S7nJJaK2bdQJ

Excerpt

In Alaska, wildfire map products have traditionally been generated from lower spatial and spectral resolution Landsat imagery such as LANDFIRE Program's Existing Vegetation Type (EVT) resulting in products that do not accurately assess fire fuel types for local sites. In this study we demonstrate the efficacy of AVIRIS-NG hyperspectral data for mapping Interior Alaska's vegetation and fuel type. Based on an evaluation of field plot data collected by the project team in 2019, the new vegetation map derived from AVIRIS-NG at Viereck IV level …

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