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Chinese Academy of Meteorological Sciences (2013)

Application of Regional Agro-drought Simulation Based on Crop Model and Remote Sensing Technology

王治海;Wang Zhi Hai

Titre : Application of Regional Agro-drought Simulation Based on Crop Model and Remote Sensing Technology

Auteur : 王治海;Wang Zhi Hai

Grade : Master’s Theses 2013

Université : Chinese Academy of Meteorological Sciences

Résumé
Regional agro-drought monitoring and prediction is of great importance to cropproduction in the arid/semi-arid area. With the development of crop growth model,agro-drought model based on crop growth became a powerful tool to monitor and predictagro-drought on the regional scale. For agro-drought model, soil moisture in the field was avery important database. However, it was constrained due to lack of regional soil moistureinformation than could not be obtained directly through the conventional observation. In thisresearch, regional agro-drought occurred in Henan Province was simulated as a case study, bycombining the crop drought model with the regional moisture information retrieved throughmicrowave remote sensing technology. The main conclusions were summarized as follows :(1)Several parameters of the model were adjusted by using field experiment data. Andthen the adjusted model’s simulation results were validated. It was found that the simulatedLAI and dry matter of winter wheat reached close to observation. Meanwhile, the absoluteerror between the simulated maturation stage and its observation was about5.3d. The resultsindicated that the parameters were adjusted reasonably. What’s more, the adjustedagro-drought model was quite applicable for the study area.(2)With the help of surface soil moisture extracted by microwave technique(AMSR-E),the exponential filter was used to retrieve soil moisture information in deeper layer(0-20cm). Then the retrieval results were validated. It revealed that the lowest root meansquared error between the retrieved soil moisture and its observation was6.3%. The resultsdemonstrated that the exponential filter performed quite well on the retrieval of soil moisture.(3)Taking the soil moisture (0-20cm layer)as the joint point, the microwave remotesensing information was drawn into the agro-drought model. As a result, the model supportedby the regional soil moisture information performed better in simulating winter wheat’sgrowth, and the results were much closer to the actual conditions in the related reference.(4)After the regionalization of the model’s parameters and driving variables, the modelsupported by the regional soil information was used to simulate agro-drought on the largearea. The results showed that, the model’s ability to simulate agro-drought on large scale andits temporal and spatial distribution could be greatly improved by combing with microwaveremote sensing information. This research identified that the capability for crop growth and regional agro-droughtsimulation could be enhanced by combination of crop model and microwave remote sensingtechnology, which would surely provide more accurate information for region agro-droughtmonitoring and prediction

Mots clés : Remote sensing information; Agro-drought model; Soil moisture; Winterwheat;

Présentation (CNKI)

Page publiée le 8 avril 2014, mise à jour le 3 avril 2018