Spatial distribution and temporal variation of tropical mountaintop vegetation through images obtained by drones

• Published in: Frontiers in environmental science Vol. 11
• Main Authors: Medeiros, Thaís Pereira de, Morellato, Leonor Patrícia Cerdeira, Silva, Thiago Sanna Freire
• Format: Journal Article
• Language: English
• Published: Lausanne Frontiers Research Foundation 10.02.2023; Frontiers Media S.A
• Subjects: Algorithms; Artificial intelligence; Biodiversity; Cameras; Classification; Climate change; Drone aircraft; Drone vehicles; Ecology; Ecosystems; Environmental science; Fieldwork; Grasslands; heterogeneous vegetation; Image analysis; Image processing; Machine learning; random forest; Remote sensing systems; rupestrian grassland; Sensors; Spatial discrimination; Spatial distribution; Spatial resolution; Sustainable development; Temporal variations; UAS; unmanned aerial system; Unmanned aerial vehicles; Vegetation; Vegetation mapping; Wildlife conservation

Modern UAS (Unmanned Aerial Vehicles) or just drones have emerged with the primary goal of producing maps and imagery with extremely high spatial resolution. The refined information provides a good opportunity to quantify the distribution of vegetation across heterogeneous landscapes, revealing an i...