Comparison of fire radiative power estimates from VIIRS and MODIS observations F Li, X Zhang, S Kondragunta, I Csiszar
Journal of Geophysical Research: Atmospheres 123 (9), 4545-4563, 2018
84 2018 Estimation of biomass-burning emissions by fusing the fire radiative power retrievals from polar-orbiting and geostationary satellites across the conterminous United States F Li, X Zhang, DP Roy, S Kondragunta
Atmospheric Environment 211, 274-287, 2019
71 2019 A preliminary evaluation of GOES-16 active fire product using Landsat-8 and VIIRS active fire data, and ground-based prescribed fire records F Li, X Zhang, S Kondragunta, CC Schmidt, CD Holmes
Remote Sensing of Environment 237, 111600, 2020
58 2020 Dominance of Wildfires Impact on Air Quality Exceedances During the 2020 Record‐Breaking Wildfire Season in the United States Y Li, D Tong, S Ma, X Zhang, S Kondragunta, F Li, R Saylor
Geophysical Research Letters 48 (21), e2021GL094908, 2021
42 2021 Investigation of the fire radiative energy biomass combustion coefficient: A comparison of polar and geostationary satellite retrievals over the Conterminous United States F Li, X Zhang, S Kondragunta, DP Roy
Journal of Geophysical Research: Biogeosciences 123 (2), 722-739, 2018
33 2018 Biomass burning in Africa: An investigation of fire radiative power missed by MODIS using the 375 m VIIRS active fire product F Li, X Zhang, S Kondragunta
Remote Sensing 12 (10), 1561, 2020
26 2020 Detection of Fire Smoke Plumes Based on Aerosol Scattering Using VIIRS Data over Global Fire-Prone Regions X Lu, X Zhang, F Li, MA Cochrane, P Ciren
Remote Sensing 13 (2), 196, 2021
24 2021 An evaluation of advanced baseline imager fire radiative power based wildfire emissions using carbon monoxide observed by the Tropospheric Monitoring Instrument across the … F Li, X Zhang, S Kondragunta, X Lu
Environmental Research Letters 15 (9), 094049, 2020
21 2020 Investigating smoke aerosol emission coefficients using MODIS active fire and aerosol products: A case study in the CONUS and Indonesia X Lu, X Zhang, F Li, MA Cochrane
Journal of Geophysical Research: Biogeosciences 124 (6), 1413-1429, 2019
17 2019 Hourly biomass burning emissions product from blended geostationary and polar-orbiting satellites for air quality forecasting applications F Li, X Zhang, S Kondragunta, X Lu, I Csiszar, CC Schmidt
Remote Sensing of Environment 281, 113237, 2022
16 2022 Development and evaluation of the Aerosol Forecast Member in the National Center for Environment Prediction (NCEP)'s Global Ensemble Forecast System (GEFS-Aerosols v1) L Zhang, R Montuoro, SA McKeen, B Baker, PS Bhattacharjee, GA Grell, ...
Geoscientific Model Development 15 (13), 5337-5369, 2022
15 2022 Highly anomalous fire emissions from the 2019–2020 Australian bushfires F Li, X Zhang, S Kondragunta
Environmental Research Communications 3 (10), 105005, 2021
14 2021 Fires represent an important source of carbon emissions in Mexico RO Corona‐Núñez, F Li, JE Campo
Global Biogeochemical Cycles 34 (12), e2020GB006815, 2020
13 2020 Impacts of estimated plume rise on PM Y Li, D Tong, S Ma, SR Freitas, R Ahmadov, M Sofiev, X Zhang, ...
Atmospheric Chemistry and Physics 23 (5), 3083-3101, 2023
11 2023 Drainage canal impacts on smoke aerosol emissions for Indonesian peatland and non-peatland fires X Lu, X Zhang, F Li, L Gao, L Graham, Y Vetrita, BH Saharjo, ...
Environmental Research Letters 16 (9), 095008, 2021
11 2021 Pronounced increases in nitrogen emissions and deposition due to the historic 2020 wildfires in the western US PC Campbell, D Tong, R Saylor, Y Li, S Ma, X Zhang, S Kondragunta, F Li
Science of The Total Environment 839, 156130, 2022
9 2022 The blended global biomass burning emissions product from MODIS and VIIRS observations (GBBEPx) X Zhang, S Kondragunta, A Da Silva, S Lu, H Ding, F Li, Y Zhu
ATBD, 2019
7 2019 Improved estimation of fire particulate emissions using a combination of VIIRS and AHI data for Indonesia during 2015–2020 X Lu, X Zhang, F Li, MA Cochrane
Remote Sensing of Environment 281, 113238, 2022
6 2022 Development and Evaluation of the Aerosol Forecast Member in NCEP’s Global Ensemble Forecast System (GEFS-Aerosols v1) L Zhang, R Montuoro, SA McKeen, B Baker, PS Bhattacharjee, GA Grell, ...
Geoscientific Model Development Discussions, 1-54, 2021
4 2021 Investigating Smoke Emission Coefficients using MODIS Fire Radiative Energy and Smoke Aerosols X Lu, X Zhang, F Li, MA Cochrane
AGU Fall Meeting Abstracts 2018, GC51E-0826, 2018
1 2018 
xiaoyang zhangProfessor, South Dakota State UniversityBestätigte E-Mail-Adresse bei sdstate.edu
