Evaluating the use of RBG drone imagery to study vegetation associated with resource islands
DOI:
https://doi.org/10.5281/zenodo.10279636Keywords:
VANT, Remote sensing, Resource islands, Vegetation indices, IVT Index, Land cover fraction, VARI Index, dry forestAbstract
Resource islands (RI) are crucial vegetation arrangements in arid and semi-arid zones, and understanding their structure and dynamics is vital for comprehending their role in ecosystem services supply. Fieldwork with conventional methodologies is limited due to climatic conditions and technical difficulties. Therefore, evaluating alternative indirect methodologies based on geospatial data capture can increase information availability and facilitate study. In this study, we analyzed the dynamics of interannual structural change in IR of a semiarid zone of the La Guajira Peninsula. The methodological strategy involved GIS analysis of RGB orthophotomosaics acquired by a drone or UAV. Interannual changes associated with vegetation cover fraction were estimated using the VARI index, and chlorophyll content using the triangular greenness index in GIS. The results depict a map describing the effect of increased water availability in a year with a climatic anomaly on vegetation cover. Furthermore, the triangular greenness index allowed an inference about the role of water in nitrogen assimilation, reflecting an increase in chlorophyll production. Finally, GIS tools enable obtaining geospatial data describing the structure and some biological functions in a less time- and cost-intensive manner compared to traditional methodologies, allowing systematic monitoring of ecological assets such as vegetation in the IR.
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