Drone-based mapping of changed vegetation
COAT researchers monitor vegetation disturbances by biotic and abiotic factors, such as herbivory and extreme winter weather. However, these are not typical vegetation classes included in remote-sensing based maps.
Drone-based long-term monitoring of vegetation requires both ecological and technical decisions. Focus of this work was development of a map that allows monitoring of disturbances from herbivores and extreme winter weather. Photo: COAT
Drones are increasingly used as a tool in ecology and may be especially valuable in rapidly changing and remote landscapes, as can be found in the Arctic. COAT researchers developed a planning workflow for generating ground-cover maps with drones. The workflow includes the selection of variables, layer resolutions, ground-cover classes and the development and validation of models. The workflow was implemented at three of COAT study sites in Svalbard and provided site-specific maps with high prediction ability of disturbed and non-disturbed vegetation classes.
This is a contribution from the COAT Tools project, where several method-development PhD-projects are ongoing.
Read the full paper here