InGas SWIR 900-1700nm Hyperspectral Camera for DJI Matrice 400 M400 drone

The 900–1700 nm SWIR Hyperspectral Camera for DJI Matrice 400 is a fully integrated aerial hyperspectral imaging payload designed for remote sensing, environmental monitoring, precision agriculture, industrial inspection, and scientific research. Developed with the DJI Payload SDK, it supports plug-and-play installation and operation through DJI Pilot 2 using the DJI RC Plus controller.

Equipped with a high-sensitivity InGaAs detector, the camera covers the 900–1700nm short-wave infrared range, providing 1,024 spectral channels, 1,280 spatial pixels and spectral resolution up to 6.5nm.

The integrated embedded processor and 512GB SSD enable onboard data acquisition, processing and storage. Operators can monitor sampling locations, hyperspectral images and spectral data through the ground control system.

The system supports reflectance correction, regional correction, batch processing, real-time vegetation index calculation and customized analysis models. The collected data are compatible with commonly used ENVI hyperspectral data formats.

Key Features

• Fully compatible with DJI Matrice 400
• DJI Payload SDK integration
• Plug-and-play installation
• DJI Pilot 2 and RC Plus operation
• 900–1700nm SWIR spectral range
• High-sensitivity InGaAs detector
• 1,024 spectral channels
• 6.5nm spectral resolution
• Up to 70 fps full-spectrum imaging
• Integrated 512GB SSD storage
• Real-time data preview and vegetation index calculation
• Reflectance and regional correction with batch processing
• Compatible with ENVI data formats
• Supports single-operator missions

Applications

The 900–1700nm SWIR range is particularly suitable for detecting differences in moisture, vegetation condition, soil properties and material composition.

Typical applications include:

• Precision agriculture and crop health monitoring
• Plant water-stress and moisture assessment
• Crop disease and pest detection
• Yield estimation and field classification
• Forest health and wildfire-risk monitoring
• Soil moisture and soil composition mapping
• Mineral and geological surveying
• Lake, watershed and coastal monitoring
• Wetland and environmental assessment
• Plastic, polymer and waste-material classification
• Scientific research and hyperspectral model development