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Machine Learning and Bias Correction of MODIS Aerosol Optical Depth., , , , and . IEEE Geosci. Remote. Sens. Lett., 6 (4): 694-698 (2009)A Critical Look at Deriving Monthly Aerosol Optical Depth From Satellite Data., , , , , and . IEEE Trans. Geosci. Remote. Sens., 47 (8-2): 2942-2956 (2009)Detection of forests using mid-IR reflectance: an application for aerosol studies., and . IEEE Trans. Geosci. Remote. Sens., 32 (3): 672-683 (1994)MODIS aerosol products: quality assessment and regional application case studies based on two years of operation., , , , , , , and . IGARSS, page 1180-1182. IEEE, (2002)Masking of Residual Snow and Ice Covered Surfaces for Improving Aerosol Retrievals From MODIS Data., , , , , and . IGARSS, page 2236-2238. IEEE, (2006)Angular and seasonal variation of spectral surface reflectance ratios: implications for the remote sensing of aerosol over land., , and . IEEE Trans. Geosci. Remote. Sens., 39 (2): 275-283 (2001)The Dark Target Algorithm for Observing the Global Aerosol System: Past, Present, and Future., , , , , , , , , and 6 other author(s). Remote. Sens., 12 (18): 2900 (2020)High-Resolution Gridded Level 3 Aerosol Optical Depth Data from MODIS., , , , and . Remote. Sens., 12 (17): 2847 (2020)Developing Aerosol Height Product from MODIS and Synergy of MODIS and CALIPSO Measurements for Global Application., , , , , , , and . IGARSS (4), page 303-306. IEEE, (2008)The Harp Hype Ran Gular Imaging Polarimeter and the Need for Small Satellite Payloads with High Science Payoff for Earth Science Remote Sensing., , , , and . IGARSS, page 6304-6307. IEEE, (2018)