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BPNN-Based Prediction Method of NDVI in the Grassland Areas of North China

A prediction method, a technology in northern China, applied in prediction, neural learning methods, data processing applications, etc., can solve problems such as the inability to accurately characterize the nonlinear change characteristics of NDVI, and achieve the avoidance of ecological damage and economic loss, and major environmental and economic strategies The effect of value and academic significance

Active Publication Date: 2021-05-04
TIANJIN UNIV
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  • Claims
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AI Technical Summary

Problems solved by technology

However, the current prediction research on NDVI mainly uses the traditional linear statistical model, which cannot accurately characterize the nonlinear change characteristics of NDVI

Method used

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  • BPNN-Based Prediction Method of NDVI in the Grassland Areas of North China
  • BPNN-Based Prediction Method of NDVI in the Grassland Areas of North China
  • BPNN-Based Prediction Method of NDVI in the Grassland Areas of North China

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Experimental program
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Effect test

Embodiment

[0059] Now based on Hulunbeier Ewenki area 1961-2015 year growing season rainfall monthly mean, 2000-2015 year growing season NDVI monthly mean value, in conjunction with the establishment method of NDVI forecasting model to the forecasting method of BPNN based on the BPNN of northern China grassland area NDVI that the present invention proposes Give a detailed explanation.

[0060] 1. Select the input variables of the prediction model, conduct correlation analysis based on SPSS statistical software, and finally determine the input sequences P(t-1), P(t-2), and P(t-3) corresponding to P(t);

[0061] 2. Obtain the training data and test data of the rainfall BPNN prediction model, according to figure 1 The process of importing the training data into the rainfall BPNN prediction model, and training the rainfall BPNN prediction model;

[0062] 3. Determine the structure of the optimal model, figure 2 As shown, the input variables are determined to be P(t-1), P(t-2), P(t-3), tha...

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Abstract

The invention discloses a BPNN-based method for predicting NDVI in grassland areas in northern China: establishing a BPNN prediction model for monthly average rainfall in future annual growing seasons; establishing a mapping model for monthly average rainfall-NDVI in future annual growing seasons; predicting rainfall using BPNN The monthly average forecasted value of rainfall in the future annual growing season produced by the model is substituted into the rainfall-NDVI mapping model to obtain the monthly average forecasted value of NDVI in the future annual growing season. The present invention can accurately predict the average value of NDVI in the growing season (June-August), thereby realizing the estimation of the livestock quantity (carrying capacity) that can be grazed in future years according to the predicted value of NDVI. grazing strategies to avoid overgrazing in disaster years.

Description

technical field [0001] The invention relates to the fields of rainfall and NDVI prediction modeling, and more specifically, relates to a BPNN-based NDVI prediction method in grassland areas in northern China. Background technique [0002] In the past 30 years, the vegetation in northern China grasslands has been seriously degraded. On the one hand, it is attributed to the rapid development of animal husbandry in grasslands, that is, the continuous increase of overgrazing, resulting in a relatively obvious imbalance between grass production and livestock numbers, and finally led to differences in grasslands. degree of degradation and desertification. On the other hand, due to the abnormal annual variation of rainfall in this area, severe droughts (such as 2016) or floods (such as 2013) occurred in very few years, which seriously threatened the restoration and protection of the grassland ecological environment in this area, as well as grassland animal husbandry. of sustainabl...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06N3/04G06N3/08
CPCG06N3/084G06Q10/04G06N3/044
Inventor 马建国吴淘锁傅海鹏白红梅
Owner TIANJIN UNIV
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