| Global top-down smoke-aerosol emissions estimation using satellite fire radiative power measurements C Ichoku, L Ellison Atmospheric Chemistry and Physics 14 (13), 6643-6667, 2014 | 208 | 2014 |
| Six global biomass burning emission datasets: intercomparison and application in one global aerosol model X Pan, C Ichoku, M Chin, H Bian, A Darmenov, P Colarco, L Ellison, ... Atmospheric Chemistry and Physics 20 (2), 969-994, 2020 | 185 | 2020 |
| Satellite remote sensing of active fires: History and current status, applications and future requirements MJ Wooster, GJ Roberts, L Giglio, DP Roy, PH Freeborn, L Boschetti, ... Remote Sensing of Environment 267, 112694, 2021 | 150 | 2021 |
| Improving nocturnal fire detection with the VIIRS day–night band TN Polivka, J Wang, LT Ellison, EJ Hyer, CM Ichoku IEEE Transactions on Geoscience and Remote Sensing 54 (9), 5503-5519, 2016 | 84 | 2016 |
| Biomass burning, land-cover change, and the hydrological cycle in Northern sub-Saharan Africa C Ichoku, LT Ellison, KE Willmot, T Matsui, AK Dezfuli, CK Gatebe, ... Environmental Research Letters 11 (9), 095005, 2016 | 60 | 2016 |
| Measuring radiant emissions from entire prescribed fires with ground, airborne and satellite sensors–RxCADRE 2012 MB Dickinson, AT Hudak, T Zajkowski, EL Loudermilk, W Schroeder, ... International Journal of Wildland Fire 25 (1), 48-61, 2015 | 49 | 2015 |
| Integrated active fire retrievals and biomass burning emissions using complementary near-coincident ground, airborne and spaceborne sensor data W Schroeder, E Ellicott, C Ichoku, L Ellison, MB Dickinson, RD Ottmar, ... Remote Sensing of Environment 140, 719-730, 2014 | 44 | 2014 |
| Mitigating satellite‐based fire sampling limitations in deriving biomass burning emission rates: Application to WRF‐chem model over the Northern Sub‐Saharan African region J Wang, Y Yue, Y Wang, C Ichoku, L Ellison, J Zeng Journal of Geophysical Research: Atmospheres 123 (1), 507-528, 2018 | 37 | 2018 |
| Fire and Smoke Remote Sensing and Modeling Uncertainties: Case Studies in Northern Sub‐Saharan Africa C Ichoku, LT Ellison, Y Yue, J Wang, JW Kaiser Natural Hazard Uncertainty Assessment: Modeling and Decision Support, 215-230, 2016 | 12 | 2016 |
| Heat flux assumptions contribute to overestimation of wildfire smoke injection into the free troposphere LH Thapa, X Ye, JW Hair, MA Fenn, T Shingler, S Kondragunta, C Ichoku, ... Communications Earth & Environment 3 (1), 236, 2022 | 11 | 2022 |
| Global top-down smoke aerosol emissions estimation using satellite fire radiative power measurements. C Ichoku, L Ellison Atmospheric Chemistry & Physics Discussions 13 (10), 2013 | 9 | 2013 |
| NU-WRF aerosol transport simulation over West Africa: Effects of biomass burning on smoke aerosol distribution T Iguchi, T Matsui, Z Tao, D Kim, CM Ichoku, L Ellison, J Wang Journal of Applied Meteorology and Climatology 57 (7), 1551-1573, 2018 | 3 | 2018 |
| Classification of Wildfires from MODIS Data Using Neural Networks J MacKinnon, T Ames, D Mandl, C Ichoku, L Ellison, J Manning, B Sosis Machine Learning Workshop, 2017 | 3 | 2017 |
| Biomass Burning and Water Balance Dynamics in the Lake Chad Basin in Africa FW Black, J Lee, CM Ichoku, L Ellison, CK Gatebe, R Babamaaji, ... Earth 2 (2), 340-356, 2021 | 2 | 2021 |
| Evaluation of satellite measurements of fire radiative power (FRP) using airborne measurements C Ichoku, L Ellison, VG Ambrosia Proceedings of IEEE International Geoscience and Remote Sensing Symposium …, 2010 | 2 | 2010 |
| Biomass burning and its relationship with water cycle dynamics of the Chari-Logone catchment of Lake Chad Basin F Black University of Missouri-Kansas City, 2018 | 1 | 2018 |
| Improving Nocturnal Fire Detection with the VIIRS Day-Night Band J Wang, TN Polivka, L Ellison, CM Ichoku, EJ Hyer AGU Fall Meeting Abstracts 2015, GC23E-1186, 2015 | 1 | 2015 |
| FEER Coefficient of Emission (C e) Product User Manual L Ellison, C Ichoku | 1 | 2015 |
| Building the Fire Energetics and Emissions Research (FEER) Smoke Emissions Inventory Version 1.0 L Ellison, C Ichoku, F Zhang, J Wang 2014 MODIS Science Team Meeting, 2014 | 1 | 2014 |
| Intercomparison of Biomass-Burning Emissions Datasets Using a Global Aerosol Model C Ichoku, X Pan, M Chin, H Bian, AS Darmenov, PR Colarco, L Ellison, ... UMBC GESTAR II Collection, 2021 | | 2021 |
Jun WangUniversity of IowaEmail verificata su uiowa.edu
