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The Atmospheric Response to Realistic Arctic Sea Ice Anomalies in an AGCM during Winter, , , , , and . J. Climate, 17 (5): 890--905 (Mar 1, 2004)Hyperspectral Data Simulation (Sentinel-2 to AVIRIS-NG) for Improved Wildfire Fuel Mapping, Boreal Alaska., , , , , , and . Remote. Sens., 13 (9): 1693 (2021)A novel method to simulate AVIRIS-NG hyperspectral image from Sentinel-2 image for improved vegetation/wildfire fuel mapping, boreal Alaska., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2022)Improved Vegetation and Wildfire Fuel Type Mapping Using NASA AVIRIS-NG Hyperspectral Data, Interior AK., , , , and . IGARSS, page 1307-1310. IEEE, (2020)Assessing Wildfire Burn Severity and Its Relationship with Environmental Factors: A Case Study in Interior Alaska Boreal Forest., , , , , and . Remote. Sens., 13 (10): 1966 (2021)Recent Declines in Warming and Vegetation Greening Trends over Pan-Arctic Tundra., , , , , , , , and . Remote. Sens., 5 (9): 4229-4254 (2013)Estimation and Validation of Sub-Pixel Needleleaf Cover Fraction in the Boreal Forest of Alaska to Aid Fire Management., , , , , and . Remote. Sens., 15 (10): 2484 (2023)Examining Glacier Mass Balances with a Hierarchical Modeling Approach., , , , and . Comput. Sci. Eng., 9 (2): 60-67 (2007)Downscaling of climate model output for Alaskan stakeholders., , , , , , , , , and . Environ. Model. Softw., (2018)Improved Boreal Forest Wildfire Fuel Type Mapping in Interior Alaska Using AVIRIS-NG Hyperspectral Data., , , and . Remote. Sens., 13 (5): 897 (2021)