Remote sensing, crop model and meteorological forecast fused crop maturity stage prediction method

A technology of weather forecasting and forecasting methods, applied in the field of agricultural remote sensing, to achieve the effects of improving forecasting accuracy, improving accuracy, and strong practicability

Inactive Publication Date: 2017-07-14
CHINA AGRI UNIV
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Problems solved by technology

[0007] At present, the research on the assimilation of remote sensing data and crop growth model data and the introduction of ensemble forecast data to realize the prediction of regional winter wheat maturity has not been reported.

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  • Remote sensing, crop model and meteorological forecast fused crop maturity stage prediction method
  • Remote sensing, crop model and meteorological forecast fused crop maturity stage prediction method
  • Remote sensing, crop model and meteorological forecast fused crop maturity stage prediction method

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Embodiment 1

[0043] For the schematic flow chart of the crop maturity prediction method based on the fusion of remote sensing, crop model and weather forecast of the present invention, please refer to the attached figure 1 , take Hebei, Henan, Shandong three provinces research area as example to further set forth the technical scheme of the present invention below.

[0044] S1 divides the crop planting area according to meteorological data, planting mode and yield level;

[0045]The three provinces of Hebei, Henan and Shandong are selected as the research area. The area is located in the Huanghuaihai Plain and belongs to the warm temperate semi-humid monsoon climate. Obtain the following data: select 62 meteorological stations according to the outer envelope of the study area, and obtain weather forecast data (data of six meteorological elements including maximum temperature, minimum temperature, total radiation, water vapor pressure, wind speed, and precipitation model); The soil paramet...

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Abstract

The invention belongs to the field of agricultural remote sensing and relates to a remote sensing, crop model and meteorological forecast fused crop maturity stage prediction method. The method comprises the steps that S1 a crop planting area is partitioned; S2 the WOFOST model parameter of crop growth of each area is marked; S3 a filtering method is used to eliminate cloud pollution in a time series remote sensing image; S4 parameters sensitive to the maturity stage are selected, and a cost function based on normalized MODIS LAI and WOFOST simulation LAI is built to acquire an optimization parameter data set; S5 a WOFOST crop growth model is driven by the acquired optimization parameter data set, and the crop maturity stage is predicted 10 days ahead of schedule; and S6 an area crop maturity stage prediction spatial distribution pattern is generated to guide timely harvesting of the crop. The method provided by the invention fuses the advantages of remote sensing data and the crop model. The maturity stage can be predicted at the area scale, and the prediction accuracy of the crop model is improved. The application of meteorological forecast data improves the accuracy of dynamic prediction, so that the practicality is higher.

Description

technical field [0001] The invention belongs to the field of agricultural remote sensing, and in particular relates to a method for predicting crop maturity period integrated with remote sensing, crop model and weather forecast. Background technique [0002] The traditional method of predicting maturity period is based on visual observation method based on field observation, that is, directly observing the growth status of crops at fixed points on the ground to predict the maturity situation. However, due to strong regional limitations, it also requires a lot of time, manpower and material resources. , it is difficult to obtain the spatial distribution information of crop maturity in the scale range. [0003] In recent years, a large number of studies have established statistical models based on meteorological data to study the influence of factors such as temperature, photoperiod, and precipitation on crops, and then predict the maturity of crops. Although the model is simp...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/02G06K9/62
CPCG06Q10/04G06Q50/02G06F18/23213
Inventor 黄健熙朱德海张晓东陈英义张超苏伟高欣然
Owner CHINA AGRI UNIV
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