| A physics-guided deep learning model for 10-h dead fuel moisture content estimation C Fan, B He Forests 12 (7), 933, 2021 | 15 | 2021 |
| Regional estimation of dead fuel moisture content in southwest China based on a practical process-based model C Fan, B He, J Yin, R Chen International Journal of Wildland Fire 32 (7), 1148-1161, 2023 | 9 | 2023 |
| Improving wildfire probability modeling by integrating dynamic-step weather variables over Northwestern Sichuan, China R Chen, B He, X Quan, X Lai, C Fan International Journal of Disaster Risk Science 14 (2), 313-325, 2023 | 8 | 2023 |
| Improving Wildfire Danger Assessment Using Time Series Features of Weather and Fuel in the Great Xing’an Mountain Region, China Z Wang, B He, R Chen, C Fan Forests 14 (5), 986, 2023 | 4 | 2023 |
| Estimation of potential wildfire behavior characteristics to assess wildfire danger in southwest China using deep learning schemes R Chen, B He, Y Li, C Fan, J Yin, H Zhang, Y Zhang Journal of environmental management 351, 120005, 2024 | 3 | 2024 |
| Drought-related wildfire accounts for one-third of the forest wildfires in subtropical China J Yin, B He, C Fan, R Chen, H Zhang, Y Zhang Agricultural and Forest Meteorology 346, 109893, 2024 | 2 | 2024 |
| Predicting 1-H Dead Fuel Moisture Content at Regional Scales Using Machine Learning from Himawari-8 Data C Fan, B He, P Kong, H Xu, Q Zhang, X Quan 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 1222 …, 2021 | 2 | 2021 |
| Global Live Fuel Moisture Content Dynamic Monitoring Based on Modis Data Observation M Li, M Jiao, W Wang, R Chen, C Fan IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | 1 | 2023 |
| The potential of optical and SAR time-series data for the improvement of aboveground biomass carbon estimation in Southwestern China’s evergreen coniferous forests Y Zhang, B He, R Chen, H Zhang, C Fan, J Yin, Y Li GIScience & Remote Sensing 61 (1), 2345438, 2024 | | 2024 |
| Process-based and geostationary meteorological satellite-enhanced dead fuel moisture content estimation C Fan, B He, J Yin, R Chen, H Zhang GIScience & Remote Sensing 61 (1), 2324556, 2024 | | 2024 |
| Fire has become a major disturbance agent in the forests of Southwest China J Yin, B He, C Fan, R Chen Ecological Indicators 160, 111885, 2024 | | 2024 |
| Quantification of Climate-Wildfire Relationships Taking Into of Spatiotemporal Heterogeneity at Regional Scale: The Subtropical China Case J Yin, R Chen, C Fan, Y Zhang, B He IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
| Forecasting Dead Fuel Moisture Content at Spatial Scales Using a Process-Based Model with Global Forecast System Data C Fan, B He, J Yin, R Chen, H Zhang, Y Zhang IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
| Estimation of Probability Density of Potential Fire Intensity Using Quantile Regression and Bi-Directional Long Short-Term Memory R Chen, Y Li, J Yin, C Fan, Y Zhang, B He, C Liu IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
| Extraction of Row Centerline at the Early Stage of Corn Growth Based on UAV Images L Xue, M Xing, R Chen, J Yin, C Fan IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
| Modeling Potential Wildfire Behavior Characteristics Using Multi-Source Remotely Sensed Data: Towards Wildfire Hazard Assessment R Chen, Y Li, C Fan, J Yin, Y Zhang, B He, Q Zhang IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
| Rice False Smut Extraction Based on the Combination of Instability Index Between Classes and Correlation Coefficient of UAV Hyperspectral Band Selection Y Wang, M Xing, L Xue, R Chen, J Yin, C Fan IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
| Estimation of Live Fuel Moisture Content Based on A Machine Learning Approach W Wang, R Chen, M Li, C Fan, M Jiao IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
