Coupling remotely sensed information with a rice growth model by combining updating and assimilation strategies

To better promote the research and development of regional crop yield simulations, we review related research on regional crop yield simulations over the past ten years, summarize the research progress on regional crop yield simulations at home and abroad from the three aspects of crop growth models, remote sensing technology, and data assimilation technology, and propose three future development directions for regional crop yield simulations: (1) Based on the agronomic mechanism of crop yield estimation, it is necessary to fully consider crop growth characteristics and yield formation mechanisms. (2) With respect to the remote sensing mechanism of crop yield estimation, we can consider combining radar stereo lateral view measurement technology to determine crop characteristics and remote sensing information. (3) From the perspective of combining agronomy and remote sensing, the crop yield spatiotemporal simulation assimilation algorithm should be optimized, and the yield simulation unit should be extended. It is expected that these considerations can provide new ideas for regional crop yield simulations with high accuracy, a large scale, and full coverage.

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Coupling remotely sensed information with a rice growth model by combining updating and assimilation strategies

Abstract: Coupling remotely sensed information with a rice growth model by combining updating and assimilation strategies. Acta Ecologica Sinica,2012,32(14) :4505鄄 4515.

Cited by 2 publications

References 5 publications

Spatialization of Crop Growth Simulation Model Using Remote Sensing

Spatialization of Crop Growth Simulation Model Using Remote Sensing

A Review of the Research Status and Prospects of Regional Crop Yield Simulations

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