Mature technology used to collect data over small fragmented riparian areas to provide evidence of planting, other compliance applications such as winter grazing, vegetation surveys (Kauri die-back).
Data of sufficient spatial and spectral resolution for deep learning feature extraction processes and with overlap photogrammetric point cloud extraction.
A useful method particularly if an LiDAR DTM already exists.
Range of flight height and captured zone width (m)
Flight altitude: c. 1000 m.
Spectral Range (nm)
Red, green, blue, Near Infra Red, and red-edge, c. 400 - 1000 nm.
Spatial Resolution (m)
GSD ranges from 2.5 cm to 1 m typically.
Benefits
Often high resolution imagery captured using low cost Cessna-mounted system.
Efficient way to capture data at either small or large sites.
Ability to capture data in remote, unsafe or difficult to access locations, lowering safety risks.
Data acquisition can be done without disrupting operations on the ground.
Limitations
Depending on capture mode can be expensive, for small one off capture, but if larger areas or several scattered targets then can be cost effective.
Detect radiation in a small number of broad wavelength bands limiting their application.
Limited by visibility constraints and poor weather conditions.
Selection of references
McCarthy T, Fotheringham AS, O'Riain G. 2007. Compact Airborne Image Mapping System (CAIMS) The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences/, Padua, Italy.