| Title: | Improved agricultural water management in data-scarce semi-arid watersheds: Value of integrating remotely sensed leaf area index in hydrological modeling |
| Authors: | Paul, M., A. Rajib, M. Negahban-Azar, A. Shirmohammadi and P. Srivastava |
| Year: | 2021 |
| Journal: | Science of the Total Environment |
| Volume (Issue): | 791 |
| Pages: | |
| Article ID: | 148177 |
| DOI: | 10.1016/j.scitotenv.2021.148177 |
| URL (non-DOI journals): | |
| Model: | SWAT-LAI & SWAT |
| Broad Application Category: | hydrologic only |
| Primary Application Category: | crop, forest and/or vegetation growth/yield and/or parameters |
| Secondary Application Category: | irrigation impacts or irrigation BMP scenarios |
| Watershed Description: | 15,358 km^2 San Joaquin River, located in central California, U.S. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Language: | English |
| Keywords: | Leaf Area Index, SWAT, Water productivity, Decision tree, Deficit irrigation, Semi-arid regions |