Gaiasky-mini-VN Hyperspectral Imaging Camera

• Unique imaging structure: The system adopts a scanning imaging structure with completely independent domestic and international invention patents, which effectively improves the efficiency and quality of data collection.
• Control method: Use the remote control to apply various functions, which is convenient, fast and flexible.
• Appearance design: Unique appearance design and control provide a good platform and stability for the quality and multi-dimensional application of the system. The unique monitoring module provides real-time on-site environmental conditions,forming "what you see is what you get".
• Software function: Rapid real-time calibration outputs inversion, classification and recognition results for users online,allowing rapid decision-making for industry applications. 
• Data stitching: The correction software is hardware and software for large-area data stitching, which fully improves the data quality and work efficiency of the system.
• Load: Other products can be selected according to actual application requirements.

Rapid identification and classification of land objects 

Rapid identification and classification of ground objects is very important in remote sensing, and different ground object categories are widely used in surveying and mapping, urban planning, forestry, etc. Compared with multispectral systems, UAV hyperspectral systems have more spectral bands and higher spectral resolution, so they can obtain different responses of different ground objects in different wavelength bands, thereby achieving fast and high-precision image classification and recognition.

Crop biochemical parameter detection

During the process of obtaining images by the drone hyperspectral system, farmers can choose different vegetation indices to reflect crop growth and diseases. Vegetation indices include the Green Normalized Vegetation Index Improved Chlorophyll Absorption Index (TCARI), the Visible Atmospheric Impedance Index (VARI) Ratio Vegetation Index (RVI), and the Soil Adjusted Vegetation Index (OSAVI). Farmers can also choose to directly reflect crop indicators, such as leaf nitrogen, phosphorus, and potassium content, chlorophyll content, leaf area index, P content, and K content. Users can also customize vegetation indices for real-time demonstration as needed.

Soil moisture content and soil fertility analysis

The UAV hyperspectral system can obtain soil moisture content, soil total fertility content and organic matter content distribution map during its hyperspectral image acquisition process. According to the soil moisture content and soil fertility distribution map, farmers can irrigate and fertilize quantitatively, thus saving costs and avoiding environmental pollution.

water body monitoring

Hyperspectral remote sensing is widely used in remote sensing water quality monitoring due to its high precision, multi-band.and large amount of information, which greatly improves the estimation accuracy of water quality parameters. With the continuous advancement of remote sensing technology,water quality monitoring has shifted from qualitative description to quantitative analysis. At the same time, the number of water quality parameters that can be monitored has gradually increased, and the inversion accuracy has also been continuously improved, playing a significant role in the protection, planning and sustainable development of water resources. Water quality parameters such as chlorophyll a, total nitrogen, total phosphorus, suspended solids and turbidity can be inverted for rivers.

Forest vegetation health monitoring (hot spots & dark spots)

Multi-angle remote sensing observations are an important meanst o study the BRDF (Bidirectional Reflectance Distribution Function)characteristics of vegetation canopies. However, there are currently few multi-angle remote sensing observations and data with continuous interval sampling of forest canopies, and observations in hotspot directions are particularly lacking.

Using the unique patented technology, the drone can fly to a certain height, hover in the air, use the gimbal to rotate to the same angleas the direction of sunlight, and then use the built-in push-scanmethod of the hyperspectral imager to quickly obtain the imaging spectral information of the ground objects at that angle (under normal lighting conditions, a scene of hyperspectral image information can beobtained within 10 seconds. At an altitude of 100m,the corresponding ground area is about 43m*43m). The figure below shows a photo of the hot spot effect of the ground object taken by the drone hyperspectral imaging system at a rotating angle in the air.