D20 is a heavy-duty multirotor UAV, equipped with a high-efficiency UAV system for intelligent aerial survey, remote sensing, and inspection.
D20 also adopts millimeter-wave radar, which can realize high-precision terrain awareness flight with direct distance measurement and altitude determination, further reduces the dependence on the accuracy of 3D geographic base map and network conditions, and then realizes automatic line inspection, obstacle avoidance and altitude determination.
It also uses dual differential antennas to ensure safer flight and better anti-interference ability under complex conditions. It can take off, land and fly in mining areas, bridges and surface ships.

Mountain terrain surveying has always been one of the important application scenarios of airborne lidar. When using lidar for mountain surveying, it is necessary to select a radar payload with characteristics such as high accuracy, high point frequency, high penetration, and high echo number. A payload with such performance can ensure that the laser can pass through dense vegetation and obtain more and more accurate mountain ground point cloud data, thereby producing high-precision, high-quality mountain terrain results.

This article mainly introduces the application of the Headwall Co-aligned400 ~ 2500nm hyperspectral imager mounted on the Foxtech Robot V10 and D20 drones. The Foxtech Robot V10 and D20 models have well solved the application problems of large-load and long-endurance flight platforms. Let the popularization of large-area, high-quality hyperspectral applications be realized. Hyperspectral data is widely used in many fields such as agriculture, forestry, military, geology and mining, emergency response, and land planning due to its characteristics of flexibility, high resolution, and operation under the cloud. Foxtech Robot V10, D20 UAV + hyperspectral imager, imaging and scanning in the working area can quickly acquire reflectivity data of ground objects, and use the imager's built-in high-precision inertial navigation (IMU/GPS) to correct imaging distortion, thereby achieving lossless, original Identify ground objects efficiently and accurately.