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Extraction of Areas of Rice False Smut Infection Using UAV Hyperspectral Data.

, , , , , , , and . Remote. Sens., 13 (16): 3185 (2021)

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Extraction of Areas of Rice False Smut Infection Using UAV Hyperspectral Data., , , , , , , and . Remote. Sens., 13 (16): 3185 (2021)Incorporating fire spread simulation and machine learning algorithms to estimate crown fire potential for pine forests in Sichuan, China., , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2024)Analysis of Impervious Surface Change and Economy in Tianjin, China Using Landsat Time Series Data., , , , , and . IGARSS, page 5952-5955. IEEE, (2019)A Monitoring System for Complex Forest Environment Based on Wireless Sensor Network., , , and . ICNCC, page 149-154. ACM, (2023)Forecasting Dead Fuel Moisture Content at Spatial Scales Using a Process-Based Model with Global Forecast System Data., , , , , and . IGARSS, page 3133-3136. IEEE, (2023)Assessing the potential for global solar energy utilization., , , , , and . IGARSS, page 1618-1621. IEEE, (2017)Estimating Paddy Rice Area in Southren China With Multi-Temporal MODIS Data., , , , and . IGARSS, page 7290-7293. IEEE, (2019)First Assessment of Dual Polarization Sentinel-1A Data for Fuel Moisture Content Retrieval., , , , and . IGARSS, page 9902-9905. IEEE, (2019)Down Syndrome Prediction Using a Cascaded Machine Learning Framework Designed for Imbalanced and Feature-correlated Data., , , , , and . IEEE Access, (2019)Rice False Smut Monitoring Based on Band Selection of UAV Hyperspectral Data., , , , and . Remote. Sens., 15 (12): 2961 (June 2023)