| Popis: |
Vegetation indicators based on remote sensing imaging material is an important criterion in assessing the health, structure and stability of vegetation. In remote sensing images, images obtained from unmanned aerial vehicles (UAVs) have many advantages, such as high resolution, proactive flight time, and minimizing atmospheric impacts, which are important sources of material in assessing the structure of forest vegetation. In particular, the development of UAV-mounted cameras is improving, enhancing the spectral ranges so that researchers can identify a variety of plant indicators. In this study, the Phantom 4 Multispectral UAV was used with 6 independent cameras attached, including 5 monochrome wave ranges, including blue (Rb): 450±16 nm, green (Rg): 560±16 nm, red (Rr): 650±16 nm, red edge (Rre): 730±16 nm, and near-infrared (Rnir): 840±26 nm, which allowed us to identify most vegetation indicators in the forest area. The results analysed 5 types of vegetation indicators, including NDVI, GNDVI, SAVI, EVI and GCI, for forests in the study area. Indicators indicate that the forest vegetation here is stable, the canopy layer has high coverage, belongs to medium and rich forest types in the Central Highlands region. In addition, analysis of the correlation between vegetation index forms at 30 points in the study area has shown that the image obtained from the UAV has great advantages when applied to the identification of plant indicators, with high similarity, limiting the influence from the atmosphere (the correlation coefficient reaches ≥ 0.74). This is an important basis for expanding the application of UAVs in forest ecology research, identifying their structure and fluctuations over periods, as the basis for the planning and conservation and sustainable development of forest resources. |
