Dynamic remote-sensing forage and livestock monitoring and grazing early-warning method

A remote sensing monitoring and dynamic technology, which is applied in the field of dynamic remote sensing monitoring of grass and livestock and grazing early warning, can solve the problems of limited research, inability to establish dynamic monitoring and grazing early warning methods, etc., and achieve the effect of accurate information

Inactive Publication Date: 2019-08-06
QINGHAI UNIVERSITY
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AI Technical Summary

Problems solved by technology

[0005] At present, domestic and foreign studies on grassland remote sensing dynamic monitoring and grazing early warning mainly analyze grassland information acquisition, national and provincial grassland-livestock balance, grassland nutritional parameter inver

Method used

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  • Dynamic remote-sensing forage and livestock monitoring and grazing early-warning method

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Embodiment 1

[0034] Such as figure 1 As shown, Embodiment 1 of the present invention provides a kind of forage livestock dynamic remote sensing monitoring and grazing early warning method, comprising:

[0035] Step S1. Use remote sensing image processing tools to process multi-source remote sensing data, and calculate the monthly ground object reflectance image data set in the set year; in the ground object reflectance image data set, calculate the vegetation index model, combined with the field collection laboratory To analyze the nutritional data, take the calculated index index as X and the nutritional data as Y, and pass the quadratic polynomial Y=aX 2 +bX+c, fit and invert Y and X, select the optimal vegetation index model through the size of root mean square error (RMSE) and fitting degree (R2), and finally invert a series of nutritional parameters of pasture nutritional value ;

[0036] Step S2, based on a series of nutritional parameters of pasture nutritional value, comprehensiv...

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Abstract

The invention provides a dynamic remote-sensing forage and livestock monitoring and grazing early-warning method, and belongs to the fields of dynamic remote sensing meadow monitoring and grazing early warning. The method comprises that nutrition indexes including biomass, crude protein, neutral washing fibers, acidic washing fibers and stock-carrying capacity reflecting the nutrition value of meadows are calculated by means of multi-source remote-sensing sequential images; and the livestock grazing route, nutrition demand and stock-carrying capacity are calculated via a livestock grazing system and nutrition supplementary feed, the meadow nutrition supply and livestock nutrition demand are analyzed, the herbage nutrition change process of a rotation grazing district is monitored quantitatively, the dynamic nutrition balance is analyzed, and early warning is implemented. The method is suitable for high-score remote-sensing vegetation index data. Indexes of different links of remote-sensing dynamic meadow nutrition monitoring are researched quantitatively, so that forage and livestock nutrition balance and grazing monitoring early warning can be researched qualitatively, it is ensured that the meadow nutrition change and dynamic forage and livestock nutrition balance of a divided pasture can be reflected in higher precision, and more accurate information is provided for a nutrition balancing decision.

Description

technical field [0001] The invention relates to the technical field of grassland remote sensing dynamic monitoring and grazing early warning, in particular to a grass livestock dynamic remote sensing monitoring and grazing early warning method. Background technique [0002] Rational use of natural grassland is an important direction for the development of grassland animal husbandry, and "ecology, greenness, and health" are important symbols for the development of grassland animal husbandry. "How to protect the ecological environment while developing grassland animal husbandry is a major issue facing the ecological construction of Qinghai Province and other pastoral areas." The relationship between ecological environment protection and grassland animal husbandry in this area undoubtedly has many contradictions and problems between "protection and development, promotion and regulation, promotion and restriction". Optimizing the production mode of forage livestock is an effect...

Claims

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Application Information

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IPC IPC(8): G01N21/17G06Q10/06G06Q50/02
CPCG01N21/17G01N2021/1797G06Q10/06315G06Q50/02
Inventor 王迅柴沙驼郝力壮刘书杰崔占鸿孙璐王磊
Owner QINGHAI UNIVERSITY
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