Application of multispectral sensor and small unmanned aerial systems for early detection of stress in forest stands of western Serbia
The main goal in the sustainable forestry is to achieve healthy forest stands which will be passed on to the next generations. Healthy ecosystems and economies rely on high-quality forests. Massive forest decline has occurred in many countries in the last several decades caused by high-number of pest infestation induced by draught and climate change. After the trees have been already physiologically stressed, pests come as the secondary infestation. Many forest pests are capable of devastating the entire forests. In the forest health protection, the key of success is to prevent major pests to breed in high number, as well as early detection of symptoms invisible to the naked eye. The object of study chosen for the application of the multispectral sensor mounted on unmanned aerial system (UAS), were coniferous forest stands, located at Mt. Kopaonik, W Serbia. Utilization of the multispectral imagery have provided us with sufficient information on the forest health and vigor. This was the first application of 5-sensor high-resolution multispectral imagery for the identification of stress of forests in Serbia. Through applications of algorithms and vegetation indices, it was possible to identify not only the dead trees in the remote and hard-to-reach areas, but also the trees which were still physiologically active, but possibly threatened by pests, although without any visible signs of health problems. The results of the study proved that the use of the multispectral sensor and small UAV has in early detection of stress for purpose of improving the health of forest ecosystems were justified.
engleski
2019
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" Remote sensing, Forest protection, Early detection, Forest pests, Multispectral camera"