UAVs have evolved into the 'Go-To' platform for many remote-sensing applications. Headwall's integrated solutions combine a hyperspectral imaging sensor and choice of GPS/IMU mounted on a high-performance UAV.
LiDAR and a stabilizing gimbal can be added if needed.
Headwall also offers powerful software to manage data collection as well as key post-processing tasks such as orthorectification.
No other company in the spectral imaging industry offers this range of integration capabilities. Headwall's solutions are fully data-tested, and training is available!
Aerial LiDAR is useful for forest mapping and crop-health analytics by providing information on plant height and density. Combining hyperspectral and LiDAR allows for more efficient flying since both data sets can be collected simultaneously. It also provides a more complete picture of how the landscape looks with respect to structure and vegetation types.
The data streams from each connected airborne instrument are combined thanks to the use of a small and light 'data-fusion' hub called HyperCore™. The instrument is about the size and weight of a Rubik's Cube and contains several input ports for LiDAR, GPS/IMU, thermal, hyperspectral, and more. Data streams are stored aboard a 480GB solid-state drive.
Correct and accurate remote sensing missions start with flight planning. Headwall makes several software applications available, including a Polygon Tool that allows the user to determine the precise GPS points within which the hyperspectral imaging sensor will operate. This saves storage space and battery life, and assures a more accurate data-collection mission.
For many remote sensing missions focused on agriculture and crops, the VNIR range is typical. For geological and mining applications, the SWIR range is common.
Headwall's AgView™ application software enables same-day data acquisition and data exploitation. AgView™ provides spectral data interpretation of six standard vegetative indices (VI's) with others available.