Abstract:

This research using the combination of remote sensing information and crop model for the estimation of the rice acreage and production in Zhenjiang yield, to monitor rice growth in this area. Integrate remote sensing data and rice production model (ORYZA2000) to establish remote sensing numerical simulation model, to the point and the surface area of rice estimation. Using remote sensing data (8 days synthesis MODIS and HJ1A/1B) to calculate normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI). Establishing the relationship of vegetation index and rice leaf area index (LAI) with the measured LAI in test area, and identify rice of Zhenjiang through temporal remote sensing data, it could be forecast within a certain region of rice cultivation and production. The research results showed that, the simulation biomass and LAI during the period of rice growth and development was on a high accuracy, and rice LAI was better fit with EVI. This correlation pattern could be applied to identify rice and improve the region-wide rice yield estimation accuracy, it also demonstrated, the combination of remote sensing information and crop model could monitor the growth of rice, and achieved a better estimation results.