An interpretable and scalable model for rapid flood extent forecasting using satellite imagery and machine learning with rotated EOF analysis
Titel:
An interpretable and scalable model for rapid flood extent forecasting using satellite imagery and machine learning with rotated EOF analysis
Auteur:
Wan, Hung-Hsien Lee, Hyongki Thuy Du, Tien Le Rostami, Amirhossein Chang, Chi-Hung Markert, Kel N. Nelson, E. James Williams, Gustavious P. Li, Sanmei Straka III, William Helfrich, Sean R. Meyer, Franz J.