● The Function of The Software

1. Data Import: Raw data, spectral calibration files, relative calibration files.

2. Data Segmentation: Trajectory clipping, data clipping, data preview, spectral display, trajectory display.

3. Data Correction: Non-uniform correction, target extraction, reflectance calculation, geometric correction, image display.

4. Flightline Mosaic: Automatic mosaicking, mosaic line editing.

5. Data Export: Tile export, full-frame export.

6. Acquisition Functions: Spectral camera control, data acquisition, auto exposure, auto scan speed matching, auxiliary camera functionality, remote control support, cruise + inertial navigation acquisition mode, data support for third-party analysis software like ENVI.

7. Data Preprocessing Functions: Reflectance correction, region correction, radiance correction, spectral and image data preview, etc. (Free updates within one year).

● UAV Hyperspectral Multi-parameter Analysis Workflow for Water Bodies

UAV Hyperspectral Water Sensing Roadmap

 

An integrated water quality monitoring solution based on hyperspectral technology, encompassing various products including unmanned aerial vehicles, ground-fixed points, and surface or underwater equipment. It provides real-time monitoring of river water bodies through quantitative inversion, measuring multiple parameters such as total nitrogen, total phosphorus, chlorophyll, ammonia nitrogen, turbidity, and the Chemical Oxygen Demand (COD) index.

Multidimensional spatial water quality monitoring scheme

 

● Preprocessing of Unmanned Aerial Vehicle (UAV) Hyperspectral Data

 

The rapid visualization function for water quality inversion includes analytical software, enabling image viewing, water body extraction, water quality parameter inversion, result statistics, and water quality parameter mapping, among other features. The image viewing function allows the importing and viewing of processed hyperspectral reflectance data, with point selection. The water body extraction function first calculates the water body index, followed by water body boundary extraction. Water quality parameter inversion can achieve the inversion of water body parameters such as chlorophyll-a, suspended matter, total nitrogen, total phosphorus, ammonia nitrogen, and chemical oxygen demand. The result statistics and water quality parameter mapping function allow for data output of the inverted parameters, displaying different concentration levels with various colour blocks, and achieving an accuracy of over 80% for most indicators.

（Segmentation Based on Flight Tracks）

Tape Splicing (Shown after Splicing)

 

Model	iSpecHyper-Mini100	iSpecHyper-VM100-SCE	iSpecHyper-VM100-Pro
Spectral Range	400-1000nm	400-1000nm	400-1000nm
Spectral Resolution	≤3.5nm (4x)	≤2.8nm (4x)	≤2.5nm (4x)
Spatial Resolution	0.71mrad @F=35mm	0.71mrad @F=35mm	0.71mrad @F=35mm
Field of View	15.6° @F=35mm	15.6° @F=35mm	15.6° @F=35mm
Spatial Channels	480 (4x)	1920 (1x), 960 (2x), 480 (4x)	1920 (1x), 960 (2x), 480 (4x), adjustable
Spectral Channels	300 (4x)	300 (4x)	300 (4x)
Detector Type	CMOS	CMOS	CMOS
Detector Interface	USB 3.0	USB 3.0	USB 3.0
Detector Size	1/1.2”, 11.3mm×7.1mm	1/1.2”, 11.3mm×7.1mm	1/1.2”, 11.3mm×7.1mm
Detector Resolution	1920×1200	1920×1200	1920×1200
Detector Pixel Size	5.86 µm×5.86 µm	5.86 µm×5.86 µm	5.86 µm×5.86 µm
Pixel Bit Depth	12 bits	12 bits	12 bits
Frame Rate	50 fps (full spectrum)	50 fps (full spectrum)	50 fps (full spectrum)
Lens Focal Length	16mm/25mm/35mm selectable	16mm/25mm/35mm selectable	16mm/25mm/35mm selectable
HD Camera Pixels	5 MP	15 MP	15 MP
Stabilization Gimbal	2-axis, 2 motors, stability precision 0.1°	2-axis, 2 motors, stability precision 0.08°	2-axis, 2 motors, stability precision 0.08°
Onboard Data System	CPU: N100, Memory: 8GB, Storage: 512GB	CPU: i7, Memory: 16GB, Storage: 1TB	CPU: i7, Memory: 16GB, Storage: 1TB
GNSS/IMU	GPS: supports RTK, positioning accuracy 1.5cm; IMU attitude angle accuracy: /	GPS: supports RTK, positioning accuracy 1.5cm; IMU attitude angle accuracy: /	GPS: supports RTK, positioning accuracy 1.5cm; IMU attitude angle accuracy: 0.01°
Weight	< 2kg	< 2.7kg	< 2.7kg
Power Consumption	~30W	~35W	~35W
Onboard Control Software	Basic version: collection control, real-time spectral image and curve preview, etc.	Professional version: collection control, real-time spectral image and curve preview, real-time parameter inversion on computer, etc.	Professional version: collection control, real-time spectral image and curve preview, real-time parameter inversion on computer, etc.
Hyperspectral Data Processing Software	Basic version	Basic water quality version	Professional version
Accessories	Illuminance meter, reflectance target cloth, portable suitcase, USB drive	Illuminance meter, reflectance target cloth, portable suitcase, USB drive	Illuminance meter, reflectance target cloth, portable suitcase, USB drive, computer

 

Typical Application

● Applications in the Agricultural and Forestry

1. Agricultural and Forestry Disaster Monitoring

Using hyperspectral imaging to monitor the severity of crop pests and diseases and the growth status of crops. The degree of disease can be determined based on the colors in the images. For example, the following image:

Using forest vegetation coverage and soil-related indices to monitor the occurrence and severity of forest fires. This monitoring is crucial for evaluating large-scale forest fire occurrences and their economic impacts.

 

Forest Fire Monitoring

2. Precision Agriculture and Forestry Data Monitoring

Hyperspectral remote sensing is applied in agriculture to monitor the nutrient supply status of crops, enabling timely assessment of crop growth and implementation of effective measures to enhance yields. It focuses on identifying and analyzing nutrient imbalances in crops and soil within specific areas. Additionally, when dealing with multiple crops, quick and accurate classification is crucial as different crops may require varying types and amounts of fertilizers. By utilizing UAV hyperspectral systems, which offer a greater number of spectral bands and higher resolution compared to multispectral systems, it becomes possible to capture different responses from various crops across different wavelengths. This facilitates rapid and efficient crop identification, with recognition rates reaching up to 95%.

3. Vegetation/Agroforestry Ecological Survey

Non-photosynthetic components in vegetation cannot be measured with traditional broadband spectrometry, but they can be easily measured and separated using hyperspectral imaging. Therefore, quantitative analysis of the chemical composition of canopies can be achieved through hyperspectral remote sensing to monitor changes in plant functions caused by atmospheric and environmental variations.

 

● Classification and identification of vegetation communities and species;

● Evaluation of canopy structure, status, or vitality, estimation of canopy hydrological status and biochemical properties;

● Study of the basic biophysical and biochemical composition of leaves.

 

AVIRIS Vegetation Classification Mapping with a Validation Accuracy of up to 90%

Crop Biochemical Component Mapping

 

 

Applications in Water Quality, Geology, and Environmental Monitoring

1. Water Quality Monitoring

The fine spectral resolution of hyperspectral remote sensing data can be used to identify and estimate the content of chlorophyll, tannic acid, and sediments in water bodies. This helps in monitoring algal growth and inferring the distribution of plankton and fish populations in aquatic research.

● Estimating and analyzing the absorption and scattering components in water bodies, such as chlorophyll, phytoplankton, non-soluble organic matter, suspended sediments, and semi-submerged aquatic plants.

● Identifying and estimating the content of chlorophyll, yellow substances, and suspended matter in water bodies for water quality monitoring.

 

● Monitoring algal growth, plankton distribution, and fish population locations by estimating chlorophyll content, as well as estimating the biomass of plankton and primary productivity.

 

 

2. Geological Exploration/Soil Monitoring

Hyperspectral remote sensing technology is used for mineral identification on the Earth's surface, particularly effective in locating hydrothermal alteration deposits. It is also utilized for geochemical mapping and geological mapping. In the geological field, hyperspectral remote sensing plays a crucial role in directly identifying different rock types based on their measured spectral features, allowing for the direct extraction of lithology.

 

Different elements in the earth's materials correspond to distinct response bands in the spectral response. Different minerals exhibit varying responses within the mid to far-infrared range. As a result, detailed information about minerals can be extracted based on their chemical composition.

 

3. Environmental Monitoring

The red edge position is the point in the spectral curve of green plants where the reflectance increases most rapidly within the wavelength range of 680nm to 760nm. It corresponds to the inflection point of the curve in this range. The red edge position can indirectly reflect the growth and health status of vegetation. When vegetation is in good condition and thriving, the red edge position shifts to the right. Conversely, when the vegetation is stressed or not healthy, the red edge position shifts to the left, which is commonly referred to as "blue shift." Monitoring changes in the red edge position can provide valuable information about the physiological condition of vegetation and its response to environmental factors.

 

4. Atmospheric Environmental Assessment

The molecular and particle components of the atmosphere have a strong response in the solar reflectance spectrum, and conventional broad-band remote sensing methods are unable to recognize spectral differences due to changes in atmospheric composition; hyperspectral is able to recognize subtle differences in the spectral curves because of its narrow band.

● Military Applications

According to the difference between the target spectrum and the spectral properties of camouflage materials, the use of hyperspectral technology can automatically discover the target from the camouflage objects, in the investigation of weapons production, hyper-spectral imaging spectrometer not only detects the spectral properties of the target, the existence of the situation, and even analyze its material composition, according to the spectral properties of the factory-generated smoke, and the direct identification of its material composition, so that it can be determined the type of factory-produced weapons, in particular, attacking weapons using short-wave infrared hyper-spectral imaging to identify camouflage nets in the battlefield environment, the above figure is the original image of the true color, and the next figure is the image of the camouflage nets identified by the processed.

Detection of small aircraft targets in airports by airborne hyperspectral, extracting the mean spectra of aircraft targets as the target spectra for detection in the original image, and adopting target detection algorithms to extract non-visible small targets in airports.