Research on Vegetation Coverage Inversion in the Yellow River Basin(Zhengzhou Section)Based on Visible Light Images
[Purposes]This paper explores an efficient,cost-effective,and accurate vegetation coverage inversion method to provide a reference for vegetation coverage monitoring in other similar regions.[Methods]Taking the Yellow River Basin(Zhengzhou section)as the study area,this research employs high-resolution visible light images as data sources to conduct key technology research on vegetation coverage inversion.By calculating vegetation coverage indices and assessing the accuracy of various algo-rithms,the optimal visible light image-based vegetation coverage inversion algorithm is determined.[Findings]Through the comparison of inversion results using various vegetation indices,the overall accu-racy of the GLI vegetation index algorithm is found to be 96.59%,significantly higher than the other three algorithms with accuracies of 80.94%,83.3%,and 83.56%,respectively,which demonstrates the applicability of the GLI algorithm in similar vegetation coverage monitoring scenarios.[Conclusions]Vegetation coverage inversion based on unmanned aerial vehicle(UAV)visible light imagery represents a low-cost,efficient,and easy-to-operate method.
Yellow River Basinunmanned aerial vehiclesvisible light imagesvegetation coverage
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