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Estimation of Live Fuel Moisture Content Based on A Machine Learning Approach.

W. Wang, R. Chen, M. Li, C. Fan, и M. Jiao. IGARSS, стр. 3070-3073. IEEE, (2023)

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Hua Fan

Fan Zhang

Xiaohua Fan

Jianhong Fan

Changpeng Fan

Другие публикации лиц с тем же именем

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, и C. Liu. IGARSS, стр. 2516-2519. IEEE, (2023)Incorporating fire spread simulation and machine learning algorithms to estimate crown fire potential for pine forests in Sichuan, China.R. Chen, B. He, Y. Li, Y. Zhang, Z. Liao, C. Fan, J. Yin, и H. Zhang. Int. J. Appl. Earth Obs. Geoinformation, (2024)Estimation of Live Fuel Moisture Content Based on A Machine Learning Approach.W. Wang, R. Chen, M. Li, C. Fan, и M. Jiao. IGARSS, стр. 3070-3073. IEEE, (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, и C. Fan. IGARSS, стр. 3458-3461. IEEE, (2023)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, и B. He. IGARSS, стр. 2434-2437. IEEE, (2023)Extraction of Row Centerline at the Early Stage of Corn Growth Based on UAV Images.L. Xue, M. Xing, R. Chen, J. Yin, и C. Fan. IGARSS, стр. 6530-6533. IEEE, (2023)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, и X. Quan. IGARSS, стр. 1222-1225. IEEE, (2021)Global Live Fuel Moisture Content Dynamic Monitoring Based on Modis Data Observation.M. Li, M. Jiao, W. Wang, R. Chen, и C. Fan. IGARSS, стр. 3303-3306. IEEE, (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, и Q. Zhang. IGARSS, стр. 2366-2369. IEEE, (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, и Y. Zhang. IGARSS, стр. 3133-3136. IEEE, (2023)

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