Explainable machine learning for the prediction and assessment of complex drought impacts B Zhang, FKA Salem, MJ Hayes, KH Smith, T Tadesse, BD Wardlow Science of The Total Environment 898, 165509, 2023 | 11 | 2023 |
TweetDrought: A deep-learning drought impacts recognizer based on twitter data B Zhang, F Schilder, KH Smith, MJ Hayes, S Harms, T Tadesse arXiv preprint arXiv:2212.04001, 2022 | 8 | 2022 |
Forest Drought Response Index (ForDRI): a new combined model to monitor forest drought in the eastern United States T Tadesse, DY Hollinger, YA Bayissa, M Svoboda, B Fuchs, B Zhang, ... Remote Sensing 12 (21), 3605, 2020 | 6 | 2020 |
Unsupervised wildfire change detection based on contrastive learning B Zhang, H Wang, A Alabri, K Bot, C McCall, D Hamilton, V Růžička arXiv preprint arXiv:2211.14654, 2022 | 2 | 2022 |
Quantitative Assessment of Drought Impacts Using XGBoost based on the Drought Impact Reporter B Zhang, FKA Salem, MJ Hayes, T Tadesse arXiv preprint arXiv:2211.02768, 2022 | 1 | 2022 |
Application of Reinforcement Learning to Represent Human-Flood Interactions S Srivastava, B Zhang, MJ Hayes, T Tadesse, T Roy AGU23, 2023 | | 2023 |
Towards Understanding Drought Risk to Specialty Crops in the United States Using a Mixed Methods Approach C Schwartz, T Haigh, MD Svoboda, B Zhang, M Goebel, D Todey, ... AGU23, 2023 | | 2023 |
Investigation of the Relationships between Drought Characteristics and Respiratory-and Cardiovascular-Related Mortality B Zhang, BJ Fard, MJ Hayes, JE Bell, X Shi, A Abadi, KH Smith, ... AGU23, 2023 | | 2023 |
Surviving the Dry Spell: Understanding the Connection Between Drought and Health eLightning A Abadi, JE Bell, JD Berman, B Zhang, S Munde AGU23, 2023 | | 2023 |
Climate Extremes and Protests in India, Pakistan and Bangladesh, 1995-2013 RE Werum, D Schaefer, B Zhang | | 2023 |
Explainable Machine Learning Applications to Predict and Assess Complex Drought Impacts based on a Multi-sourced Dataset B Zhang, FA Salem, MJ Hayes, KH Smith, T Tadesse 103rd AMS Annual Meeting, 2023 | | 2023 |
Investigate causal effects of hydrometeorological extremes on the frequency of protests in India B Zhang, MJ Hayes, Y Zhou, Y Guan, D Schaefer, A Samal, R Werum, ... AGU Fall Meeting Abstracts 2022, H32N-1101, 2022 | | 2022 |
Forest Drought Response Index (ForDRI): A Case Study for the Western United States T Tadesse, D Hollinger, M Svoboda, B Fuchs, B Zhang, D Niyonshuti, ... AGU Fall Meeting Abstracts 2021, GC25E-0695, 2021 | | 2021 |
Investigation of GRACE-derived Information on Forest Drought Stress Across the Contiguous US B Zhang | | 2019 |