Open-Source Processing and Analysis of Aerial Imagery Acquired with a Low-Cost Unmanned Aerial System to Support Invasive Plant Management

摘要: Remote sensing by Unmanned Aerial Systems (UAS) is a dynamic evolving technology. UAS are particularly useful in environmental monitoring and management because they have the capability to provide data at high temporal spatial resolutions. Moreover, acquisition costs lower than those of conventional methods such as extensive ground sampling, manned airplanes, or satellites. Small fixed-wing particular offer further potential benefits extend operational coverage area under study operator risks accelerate deployment times. Taking these aspects into account, might be an effective tool support invasive plant based on early detection regular monitoring. A straightforward approach map species presented this with intention providing ready-to-use field maps essential for action-oriented management. Our utilizes low-cost sensors, free-of-charge software mission planning affordable, commercial aerial platform reduce costs, reducing expenses personnel while increasing overall efficiency. We illustrate our using real example invasion Acacia mangium Brazilian Savanna ecosystem. A. was correctly identified accuracy 82.7% from analysis imagery. This provides land authorities practitioners new prospects restoration areas where present.