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Improving Nocturnal Fire Detection With the VIIRS Day-Night Band.

, , , , and . IEEE Trans. Geosci. Remote. Sens., 54 (9): 5503-5519 (2016)

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Enhancement of Nighttime Fire Detection and Combustion Efficiency Characterization Using Suomi-NPP and NOAA-20 VIIRS Instruments., , , , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2023)Improving Nocturnal Fire Detection With the VIIRS Day-Night Band., , , , and . IEEE Trans. Geosci. Remote. Sens., 54 (9): 5503-5519 (2016)First Global Analysis of Saturation Artifacts in the VIIRS Infrared Channels and the Effects of Sample Aggregation., , , and . IEEE Geosci. Remote. Sens. Lett., 12 (6): 1262-1266 (2015)Validation of MODIS FPAR products in boreal forests of Alaska., , and . IEEE Trans. Geosci. Remote. Sens., 44 (7-1): 1818-1828 (2006)CALIOP Aerosol Subset Processing for Global Aerosol Transport Model Data Assimilation., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 3 (2): 203-214 (2010)Global Monitoring and Forecasting of Biomass-Burning Smoke: Description of and Lessons From the Fire Locating and Modeling of Burning Emissions (FLAMBE) Program., , , , , , , , , and 2 other author(s). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2 (3): 144-162 (2009)Community Challenges and Prospects in the Operational Forecasting of Extreme Biomass Burning Smoke., , , , , , , , , and 7 other author(s). IGARSS, page 903-906. IEEE, (2021)Satellite Whitecap Fraction Retrievals for Air-Sea Interaction Products from Navy Operational Models., , , , and . IGARSS, page 3966-3968. IEEE, (2023)