| Spatial and temporal pattern of wildfires in California from 2000 to 2019 S Li, T Banerjee Scientific reports 11 (1), 8779, 2021 | 112 | 2021 |
| Migration of two antibiotics during resuspension under simulated wind–wave disturbances in a water–sediment system S Li, Z Huang, Y Wang, YQ Liu, R Luo, JG Shang Chemosphere 192, 234-243, 2018 | 31 | 2018 |
| Mapping the wildland-urban interface in California using remote sensing data S Li, V Dao, M Kumar, P Nguyen, T Banerjee Scientific reports 12 (1), 5789, 2022 | 28 | 2022 |
| Historical seasonal changes in prescribed burn windows in California JA Baijnath-Rodino, S Li, A Martinez, M Kumar, LN Quinn-Davidson, ... Science of the total environment 836, 155723, 2022 | 17 | 2022 |
| Examining the existing definitions of wildland‐urban interface for California M Kumar, S Li, P Nguyen, T Banerjee Ecosphere 13 (12), e4306, 2022 | 15* | 2022 |
| Effects of wind–wave disturbances on adsorption and desorption of tetracycline and sulfadimidine in water–sediment systems Q Liao, Z Huang, S Li, Y Wang, Y Liu, R Luo, J Shang Environmental Science and Pollution Research 25, 22561-22570, 2018 | 14 | 2018 |
| An Investigation into the Efficacy of Prescribed Fires for Fire Hazard Mitigation using Drone-based LiDAR and Multispectral Data Observations S Li, J Baijnath-Rodino, M Rivera, T Banerjee AGU Fall Meeting Abstracts 2023, 2023 | | 2023 |
| Quantifying surface fuels using drone-based Lidar S Li, J Baijnath-Rodino, M Rivera, T Banerjee AGU Fall Meeting Abstracts 2022, NS53A-08, 2022 | | 2022 |
| Small Scale Fuel Heterogeneity Affects Large Scale Fire Behavior and Burn Severity: Insights from Drone Observations of a Prescribed Fire J Baijnath-Rodino, S Li, E Foufoula-Georgiou, T Banerjee AGU Fall Meeting Abstracts 2022, A15M-1406, 2022 | | 2022 |
| Are the Good Times Burning Out? Changes in Prescribed Burn Windows over the Past Four Decades in California J Baijnath-Rodino, S Li, L Quinn-Davidson, R York, T Banerjee AGU Fall Meeting Abstracts 2021, A43F-01, 2021 | | 2021 |
| Spatial and temporal distribution characteristics of escaped prescribed fires in California S Li, J Baijnath-Rodino, T Banerjee AGU Fall Meeting Abstracts 2021, NH15F-0511, 2021 | | 2021 |
| Is the existing WUI mapping adequate for wildland fire management? Assessment with past wildfire events M Kumar, S Li, P Nguyen, T Banerjee AGU Fall Meeting Abstracts 2020, NH033-0006, 2020 | | 2020 |
| Mapping the WUI area in California based on remote sensing data V Dao, S Li, P Nguyen, M Kumar, T Banerjee AGU Fall Meeting Abstracts 2020, NH026-03, 2020 | | 2020 |
| Developing models for building damage estimation for wildfires using Earth Observation (EO) data, Wildland Urban Interface (WUI) maps, and structural vulnerability functions S Ghosh, CK Huyck, R Imani, G Esquivias, P Amyx, S Li, V Dao, M Kumar, ... AGU Fall Meeting Abstracts 2020, NH043-0003, 2020 | | 2020 |
| Spatio-temporal pattern of California wildfires from 2000 to 2019 S Li, T Banerjee AGU Fall Meeting Abstracts 2020, NH008-0012, 2020 | | 2020 |
| Using social media and environmental data for wildfire detection based on machine learning techniques S Li, Y Huang, P Nguyen, V Afzali Gorooh, T Gu, Y Fu, Q Huang, Y Wang, ... AGU Fall Meeting Abstracts 2019, NH43C-0952, 2019 | | 2019 |
| Identifying Wildfire Tweets by Semantic Analysis and Integrating Environmental Data Using Machine Learning Y Huang, Y Fu, T Gu, Q Huang, S Li, Y Wang, S Zhang, Y Zhang, ... AGU Fall Meeting Abstracts 2019, NH41B-0930, 2019 | | 2019 |
