Estimation of Vegetation Coverage Based on VDVI Index of UAV Visible Image——Using the Shelterbelt Research Area as An Example

In order to quickly and accurately obtain the characteristics of vegetation coverage in the shelterbelt project area and master the important indicators of vegetation growth and ecological environment evaluation, experiments were carried out in the research area of Pinus sylvestris var. mongolica shelterbelt in Shenmu, Shanxi Province by using the characteristics of high time frequency acquisition and high spatial resolution of UAV. Different Vegetation Index（VDVI） and HSV Transform Vegetation Index（HSVVI） in RGB band of UAV visible light were constructed, and correlation analysis was conducted with the NDVI index of GF-1 satellite in the same region. Vegetation coverage estimation model was established in the UAV study area, and the results of vegetation coverage were quickly calculated. The results showed that VDVI index and NDVI index had a higher correlation, which was very suitable for the establishment of vegetation coverage estimation model of pixel binary model. Through the accuracy verification of the measured FVC value and the model estimation value, the determination coefficient R~2 was 0.855 6, and the estimation accuracy of FVC was 81.35%, which was an ideal estimation result in the study area. It was also proved that the VDVI index pixel binary model based on visible light data of UAV images was effective and accurate for vegetation coverage estimation, which could serve for the rapid acquisition of vegetation coverage characteristics.