Use of Remotely-Sensed Data in Cotton Growth Model
2007
Ko, J.H. (Texas AnM University Texas Agricultural Experiment Station, Uvalde, TX, USA), E-mail: [email protected] | Maas, Stephan J. (Texas Tech University Plant and Soil Sciences, Lubbock, TX, USA)
Remote sensing data can be integrated into crop models, making simulation improved. A crop model that uses remote sensing data was evaluated for its capability, which was performed through comparing three different methods of canopy measurement for cotton (Gossypium hirsutum L.). The measurement methods used were leaf area index (LAI), hand-held remotely sensed perpendicular vegetation index (PVI), and satellite remotely sensed PVI. Simulated values of cotton growth and lint yield showed reasonable agreement with the corresponding measurements when canopy measurements of LAI and hand-held remotely sensed PVI were used for model calibration.
显示更多 [+] 显示较少 [-]