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22 October 2010The review of dynamic monitoring technology for crop growth
In this paper, crop growth monitoring methods are described elaborately. The crop growth models, Netherlands-Wageningen
model system, the United States-GOSSYM model and CERES models, Australia APSIM model and CCSODS model system
in China, are introduced here more focus on the theories of mechanism, applications, etc. The methods and application of
remote sensing monitoring methods, which based on leaf area index (LAI) and biomass were proposed by different scholars at
home and abroad, are highly stressed in the paper. The monitoring methods of remote sensing coupling with crop growth
models are talked out at large, including the method of "forced law" which using remote sensing retrieval state parameters as
the crop growth model parameters input, and then to enhance the dynamic simulation accuracy of crop growth model and the
method of "assimilation of Law" which by reducing the gap difference between the value of remote sensing retrieval and the
simulated values of crop growth model and thus to estimate the initial value or parameter values to increasing the simulation
accuracy. At last, the developing trend of monitoring methods are proposed based on the advantages and shortcomings in
previous studies, it is assured that the combination of remote sensing with moderate resolution data of FY-3A, MODIS, etc.,
crop growth model, "3S" system and observation in situ are the main methods in refinement of dynamic monitoring and
quantitative assessment techniques for crop growth in future.
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Hong-wei Zhang, Huai-liang Chen, Chun-hui Zou, Wei-dong Yu, "The review of dynamic monitoring technology for crop growth," Proc. SPIE 7824, Remote Sensing for Agriculture, Ecosystems, and Hydrology XII, 78242L (22 October 2010); https://doi.org/10.1117/12.864811