● 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-VM100-SCE	iSpecHyper-VM100-Pro
Spectral Range	400-1000nm
Spectral Resolution	≤3.5nm(4x)	≤2.5nm(4x)
Spatial Resolution	0.71mrad @F=35mm
FOV	15.6°@F=35mm
Spatial Channels	1920(1x),960(2x),480(4x) (Adjustable)
Spectral Channels	1200(1x),600(2x),300(4x) (Adjustable)
Detector Type	CMOS
Detector Interface	USB 3.0
Detector Target	1/1.2” , 11.3mm x 7.1mm
Detector’s Original Resolution	1920 x 1200
Detectors’ Original Pixels Size	5.86 µm x 5.86 µm
Pixel Bit Depth	12bits
FPS	Full-spectrum Data Acquisition with 41fps	Full-spectrum Data Acquisition with 128fps max
Lens Focal Length	16mm/25mm/35mm Optional
High-definition Camera Pixels	500w	1500w
Self-Stabilizing System	High-Stability Gimbal, Two-Axis with 2 Motors, Stabilizing Accuracy of 0.08°
UAV Data Acquisition system	CPU:I7,Memory:8GB, Hard Disk:128GB	CPU:I7, Memory:16GB,Hard Disk:1TB
Remote Intelligent Control System (Including Ground Station)	Real-Time Spectrum Viewing, Remote Intelligent Control
GNSS/INS	GPS：RTK Supported, Positioning Accuracy :10CM	GPS：RTK Supported, Positioning Accuracy :11CM IMU Attitude Angle Accuracy :0.01°
Weight	About 2.9kg	About 3kg
Power Consumption	About 30w	About 35w
Onboard Data Acquisition and Control Software	Acquisition Control、Real-Time Spectrum Picture & Diagram Preview, etc.	Acquisition Control、Real-Time Spectrum Picture & Diagram Preview, Real-Time Parameter Inversion, etc.
Ground-based Remote Intelligent Control Software	Remote Intelligence Control
Accessories	High-Stability Tripod, Ground Station Power Module (12V, 19200mah), illuminance Meter, Wireless Keyboard and Mouse, Data USB Drive, Etc.

Model	iSpecHyper-VM200-SCE	iSpecHyper-VM200-Pro
Spectral Range	400-1000nm
Spectral Resolution	≤3.5nm(4x)	≤2.5nm(4x)
Spatial Resolution	0.71mrad @F=35mm
FOV	15.6°@F=35mm
Spatial Channels	1920(1x),960(2x),480(4x), (Adjustable)
Spectral Channels	1200(1x),600(2x),300(4x), (Adjustable)
Detector Type	CMOS
Detector Interface	USB 3.0
Detector Target	1/1.2”,11.3mm x 7.1mm
Detector’s Original Resolution	1920 x 1200
Detectors’ Original Pixels Size	5.86 µm x 5.86 µm
Pixel Bit Depth	12bits
FPS	Full-spectrum Data Acquisition with 41fps	Full-spectrum Data Acquisition with 128fps max
Lens Focal Length	12.5mm/16mm/25mm/35mm optional
High-definition Camera Pixels	1500w
Self-Stabilizing System	High-Stability Gimbal, Two-Axis with 2 Motors, Stabilizing Accuracy of 0.08°
UAV Data Acquisition system	CPU:I7, Memory:16GB, Hard Disk:1TB
Remote Intelligent Control System (Including Ground Station)	Real-Time Spectrum Diagram Preview，Remote Intelligence Control
GNSS/INS	GPS：RTK Supported, Positioning Accuracy :10CM	GPS：RTK Supported, Positioning Accuracy :10CM IMU Attitude Angle Accuracy :0.01°
Weight	About 4.5kg	About 5kg
Power Consumption	About 40w	45w
Onboard Data Acquisition and Control Software	Acquisition Control、Real-Time Spectrum Picture & Diagram Preview, etc.	Acquisition Control、Real-Time Spectrum Picture & Diagram Preview, Real-Time Parameter Inversion, etc.
Ground-based Remote Intelligent Control Software	Remote Intelligence Control
Accessories	High-Stability Tripod, Ground Station Power Module (12V, 19200mah), illuminance Meter, Wireless Keyboard and Mouse, Data USB Drive, Etc.

Model	iSpecHyper-VM400-SCE	iSpecHyper-VM400-Pro
Spectral Range	900-1700nm
Spectral Resolution	Better than 5nm
Spatial Resolution	0.85mrad@f=35mm
FOV	15.6°@F=35mm
Spatial Channels	320	640
Spectral Channels	256	512
Detector Type	InGaAs(TE Cooled)
Detector Interface	GigE	Camera-Link
Detector Target	9.6mm x 7.68mm
Detector’s Original Resolution	320*256	640*512
Detectors’ Original Pixels Size	30 µm x30 µm	15 µm x15 µm
Pixel Bit Depth	14 bits
FPS	Full-spectrum Data Acquisition with 100fps max	Full-spectrum Data Acquisition with 300fps max
Lens Focal Length	25mm/35mm optional
High-definition Camera Pixels	1500w
Self-Stabilizing System	High-Stability Gimbal, Two-Axis with 2 Motors, Stabilizing Accuracy of 0.08°
UAV Data Acquisition system	CPU:I7, Memory:16GB, Hard Disk:1TB
Remote Intelligent Control System (Including Ground Station)	Real-Time Spectrum Diagram Preview，Remote Intelligence Control
GNSS/INS	GPS：RTK Supported, Positioning Accuracy :10CM	GPS：RTK Supported, Positioning Accuracy :10CM IMU Attitude Angle Accuracy :0.01°
Weight	About 6kg
Power Consumption	About 50w
Onboard Data Acquisition and Control Software	Acquisition Control、Real-Time Spectrum Picture & Diagram Preview, Real-Time Parameter Inversion, etc.
Ground-based Remote Intelligent Control Software	Remote Intelligence Control
Accessories	High-Stability Tripod, Ground Station Power Module (12V, 19200mah), illuminance Meter, Wireless Keyboard and Mouse, Data USB Drive, Etc.

 

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.