Detecting high and low-intensity fires in Alaska using VIIRS I-band data: An improved operational approach for high latitudes CF Waigl, M Stuefer, A Prakash, C Ichoku Remote Sensing of Environment 199, 389-400, 2017 | 41 | 2017 |
Fire detection and temperature retrieval using EO-1 Hyperion data over selected Alaskan boreal forest fires CF Waigl, A Prakash, M Stuefer, D Verbyla, P Dennison International Journal of Applied Earth Observation and Geoinformation 81, 72-84, 2019 | 26 | 2019 |
Hyperspectral Data Simulation (Sentinel-2 to AVIRIS-NG) for Improved Wildfire Fuel Mapping, Boreal Alaska A Badola, SK Panda, DA Roberts, CF Waigl, US Bhatt, CW Smith, ... Remote Sensing 13 (9), 1693, 2021 | 15 | 2021 |
Emerging Anthropogenic Influences on the Southcentral Alaska Temperature and Precipitation Extremes and Related Fires in 2019 US Bhatt, RT Lader, JE Walsh, PA Bieniek, R Thoman, M Berman, ... Land 10 (1), 82, 2021 | 15 | 2021 |
Alaska terrestrial and marine climate trends, 1957–2021 TJ Ballinger, US Bhatt, PA Bieniek, B Brettschneider, RT Lader, JS Littell, ... Journal of Climate 36 (13), 4375-4391, 2023 | 11 | 2023 |
A novel method to simulate AVIRIS-NG hyperspectral image from Sentinel-2 image for improved vegetation/wildfire fuel mapping, boreal Alaska A Badola, SK Panda, DA Roberts, CF Waigl, RR Jandt, US Bhatt International Journal of Applied Earth Observation and Geoinformation 112 …, 2022 | 8 | 2022 |
Using floristic gradient mapping to assess seasonal thaw depth in interior Alaska V Döpper, S Panda, C Waigl, M Braun, H Feilhauer Applied Vegetation Science 24 (1), e12561, 2021 | 6 | 2021 |
Eyes of the world on a warmer, less frozen, and greener Arctic GV Frost, US Bhatt, MJ Macander, HE Epstein, MK Raynolds, CF Waigl, ... Global Change Biology 29 (16), 4453-4455, 2023 | 1 | 2023 |
A Prototype Two-tier Mentoring Program for Undergraduate Summer Interns from Minority-Serving Institutions at the University of Alaska Fairbanks R Gens, A Prakash, G Ozbay, S Sriharan, MS Balazs, A Chittambakkam, ... AGU Fall Meeting Abstracts 2013, ED43B-0768, 2013 | 1 | 2013 |
Evaluating the Alaska Blocking Index as an indicator of wildfire potential in Alaska's central eastern interior TJ Ballinger, RT Lader, PA Bieniek, H Strader, R Ziel, US Bhatt, ... International Journal of Climatology 44 (7), 2024 | | 2024 |
The Impact of Snowoff Timing on the Predictability of the Wildfire Season in Alaska P Bieniek, US Bhatt, R Lader, CF Waigl, TJ Ballinger, J Hostler, ... 104th AMS Annual Meeting, 2024 | | 2024 |
A High-Resolution, Dynamically Downscaled ERA5 Reanalysis Dataset for Alaska CF Waigl, P Bieniek, US Bhatt, R Lader, J Walsh 104th AMS Annual Meeting, 2024 | | 2024 |
Wildfire Becoming More Severe and Expanding into New Areas in Alaska: Increasing Climate Awareness and Resilience R Lader, TJ Ballinger, US Bhatt, PA Bieniek, C Borries-Strigle, J Hostler, ... 104th AMS Annual Meeting, 2024 | | 2024 |
On Developing Seasonal Outlooks for Lightning in Alaska J Hostler, US Bhatt, TJ Ballinger, P Bieniek, C Borries-Strigle, M Burgard, ... 104th AMS Annual Meeting, 2024 | | 2024 |
Building a Weather-Ready Nation Through Adult English Language Literacy in Fairbanks, Alaska A Hendricks, US Bhatt, R Metzger, C Sopow, J Wei, SY Kang, H Deland, ... 104th AMS Annual Meeting, 2024 | | 2024 |
On Conducting Climate Research on Wildland Fire in Alaska that is Useful for Fire Management US Bhatt, A York, K Timm, A Badola, TJ Ballinger, PA Bieniek, ... 104th AMS Annual Meeting, 2024 | | 2024 |
Igniting Precision: Amplifying Wildfire Prediction in Diverse Regions via Teacher-Student Model Fusion M Lindemann, K DeMichele, MH Kapourchali, MH Kapourchali, C Waigl, ... 2023 International Conference on Machine Learning and Applications (ICMLA …, 2023 | | 2023 |
What elements drive wildfire in boreal and Arctic Alaska? Assessing the role of teleconnections and pre-season environmental factors using a machine-learning approach CF Waigl, E Fischer, T Ballinger, P Bieniek, CB Strigle, M Burgard, ... AGU23, 2023 | | 2023 |
Exploring the Climate Variability of Lighting in Alaska using a SOM-Random Forest Model J Hostler, US Bhatt, T Ballinger, P Bieniek, CB Strigle, M Burgard, ... AGU23, 2023 | | 2023 |
Presentation of Positionality relative Adaptation Partnership work J Garron, R Toohey, M Rudolf, CF Waigl, M DeLue, M Pittas AGU23, 2023 | | 2023 |