Rostami, A.; Chang, C.-H.; Lee, H.; Wan, H.-H.; Du, T.L.T.; Markert, K.N.; Williams, G.P.; Nelson, E.J.; Li, S.; Straka III, W.;
et al. Forecasting Flood Inundation in U.S. Flood-Prone Regions Through a Data-Driven Approach (FIER): Using VIIRS Water Fractions and the National Water Model. Remote Sens. 2024, 16, 4357.
https://doi.org/10.3390/rs16234357
AMA Style
Rostami A, Chang C-H, Lee H, Wan H-H, Du TLT, Markert KN, Williams GP, Nelson EJ, Li S, Straka III W,
et al. Forecasting Flood Inundation in U.S. Flood-Prone Regions Through a Data-Driven Approach (FIER): Using VIIRS Water Fractions and the National Water Model. Remote Sensing. 2024; 16(23):4357.
https://doi.org/10.3390/rs16234357
Chicago/Turabian Style
Rostami, Amirhossein, Chi-Hung Chang, Hyongki Lee, Hung-Hsien Wan, Tien Le Thuy Du, Kel N. Markert, Gustavious P. Williams, E. James Nelson, Sanmei Li, William Straka III,
and et al. 2024. "Forecasting Flood Inundation in U.S. Flood-Prone Regions Through a Data-Driven Approach (FIER): Using VIIRS Water Fractions and the National Water Model" Remote Sensing 16, no. 23: 4357.
https://doi.org/10.3390/rs16234357
APA Style
Rostami, A., Chang, C.-H., Lee, H., Wan, H.-H., Du, T. L. T., Markert, K. N., Williams, G. P., Nelson, E. J., Li, S., Straka III, W., Helfrich, S., & Gutierrez, A. L.
(2024). Forecasting Flood Inundation in U.S. Flood-Prone Regions Through a Data-Driven Approach (FIER): Using VIIRS Water Fractions and the National Water Model. Remote Sensing, 16(23), 4357.
https://doi.org/10.3390/rs16234357
