The rise of Unmanned Aerial Vehicle (UAV) usage across industries has led to incredible developments within the field of remote sensing.
UAVs have already been deployed to estimate vegetation height using a variety of sensors in agriculture and forestry. Current solutions allows surveyors to utilize HD consumer grade cameras in combination with LiDAR – enabling cheaper, faster remote sensing options than traditional photogrammetric and remote sensing practices. Additionally, Phoenix’ proprietary software in combination with sensors such as: NIR (near infra red), and/or multi- and hyperspectral cameras empower operators to acquire and fuse hi-res, two-dimensional image data with 3D point cloud data. These combined solutions can be applied across vegetation and topography, producing high resolution point clouds for projects like monitoring landscapes undergoing continuous changes. The most innovative surveying technology in this field has been proven to provide an increase in overall data accuracy than using either traditional sensing method on its own. High spatial and spectral resolution of this type of acquired data is necessary for an array of workflows: from properly classifying vegetation, to measuring 3D canopy structures, vegetation density, and even to specifying individual plant species, along with correlating plant health data.
Phoenix LiDAR Systems makes it possible to capture high resolution RGB (full colorized imagery) and other spectral bandwidths (thermal to hyperspectral), ortho-imagery, point cloud classification, digital terrain and elevation models within a well planned flight. Phoenix LiDAR Systems offers time and cost saving LiDAR solutions, introducing a more sustainable and non-destructive data acquisition option using multi-vehicle ready remote sensing systems.
Whether you’re calculating canopy heights and tree growth rates for power line and utilities management, ecosystems research and monitoring, or for vegetation management of gas and oil corridors, Phoenix has the right tool for your needs. View and experience point clouds within your browser by clicking this link -> sample data here.