Non-growing season grass and livestock balance evaluation method based on unmanned aerial vehicle LIDAR aerial survey technology

Abstract

The invention provides a non-growing season grass and livestock balance evaluation method based on an unmanned aerial vehicle LIDAR aerial survey technology. The defect that dry vegetation and herbivorous animal information cannot be monitored through traditional satellite remote sensing can be effectively overcome; grassland balance monitoring is carried out for grassland in a withered grass period; the method comprises the following steps: classifying LIDAR point cloud data of the unmanned aerial vehicle based on a terrain extraction method of slope-angle-distance limitation, and calculatinggrassland vegetation coverage and canopy height in a non-growing season according to ground points and vegetation points obtained by classification to realize grassland above-ground biomass inversionin the non-growing season; based on an object-oriented and supervised classification method, obtaining parameters such as an available forage grass proportion and a grassland reasonable utilization rate, and calculating a theoretical livestock capacity; calculating the actual livestock capacity according to the herbivorous animal types, the herbivorous animal quantity and the sheep unit conversion formula of each animal; and finally, according to the theoretical livestock carrying capacity and the actual livestock carrying capacity, calculating the overload rate, the available days of the remaining forage grass and the forage grass amount needing supplementary feeding, and completing the evaluation of the non-growing season grass and livestock balance condition.

Description

technical field [0001] The invention relates to the technical field of UAV LIDAR point cloud and aerial image data processing, in particular to a non-growing season grass-stock balance evaluation method based on UAV LIDAR aerial survey technology Background technique [0002] my country is the country with the largest grassland area except Australia. The grassland area accounts for about 41.2% of the country's land area. More than 90% of the grasslands are severely degraded (Hou Xiangyang, 2014), and the rate is increasing by 2 million hectares every year. In order to protect, build and rationally utilize grasslands, the state promulgated the "Grassland Law" in 1985, and began to implement the system of "determining livestock by grass and balancing grass and livestock" on grasslands, and severely degraded, desertified, salinized, rocky and desertified. For grasslands in ecologically fragile areas, the system of grazing prohibition and rest grazing is implemented. In recent ...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the problem that existing forage-livestock balance assessment technology cannot effectively monitor non-growing season biomass and herbivore data, the present invention proposes a method for assessing forage-livestock balance suitable for non-growing seasons, which uses UAV LIDAR data Directly detect the grassland canopy height and coverage, and then combine the measured data on the ground to invert the grassland biomass in the non-growing season; then, based on the object-oriented and supervised classification method, interpret the UAV true-color image of the preset area, Obtain herbivorous animal data; finally, calculate the theoretical stocking capacity based on the grassland biomass in the non-growing season and calculate the actual stocking capacity based on the herbivore data, and carry out the assessment of the grass-stock balance in the non-growing season to significantly improve the non-growing season. Accuracy and Efficiency of Seasonal Grass-Livestock Balance Assessment

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