TITLE:
Study on Growth Monitoring and Yield Prediction of Winter Wheat in the South of Shanxi Province Based on MERSI Data and ALMANAC Crop Model
AUTHORS:
Dong Xiang, Shuying Bai, Xiaonan Mi, Yongqiang Zhao, Mengwei Li
KEYWORDS:
FY-3 Satellite, ALMANAC Crop Model, Winter Wheat, Forecast Yield
JOURNAL NAME:
Journal of Geoscience and Environment Protection,
Vol.7 No.9,
September
10,
2019
ABSTRACT: Accurate crop growth monitoring and yield
forecasting have important implications for food security and agricultural macro-control.
Crop simulation and satellite remote sensing have their own advantages,
combining the two can improve the real-time mechanism and accuracy of
agricultural monitoring and evaluation. The research is based on the MERSI data carried by China’s new generation Fengyun-3 meteorological satellite, combined with the US
ALMANAC crop model, established the NDVI-LAI model and realized the acquisition
of LAI data from point to surface. Because of the principle of the relationship
between the morphological changes of LAI curve and the growth of crops, an
index that can be used to determine the growth of crops is established to realize real-time, dynamic and wide-scale monitoring of winter wheat
growth. At the same time, the index was used to select the different key growth
stages of winter wheat for yield estimation. The results showed that the
relative error of total yield during the filling period was low, nearly 5%. The
research results show that the combination of domestic meteorological satellite
Fengyun-3 and ALMANAC crop model for crop growth monitoring and yield
estimation is feasible, and further expands the application range of domestic
satellites.