Order Article Reprints

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

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

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