XST-SpectralNet Multi-Angle Fully Automated Hyperspectrometer

XST-SpectralNet Multi-angle automatic hyperspectrometer

Long-term automated monitoring of spectral reflectance of features:High precision, low power consumption, built-in temperature control module, adapt to the field environment

Integration of spectral measurements with surface parameter calculations:Built-in vegetation parameter calculation model, automatic completion of key ecological parameters real-time output

Cloud-based platform for data visualization:Visualization of real-time measured and synchronized calculated parameters

Multi-target detection function:Built-in automatic optical path switching module, realizing multi-target and multi-angle detection with one machine.

Browser-based interface:View and modify parameters at any time, support manual measurement, view and download data

Easy field commissioning and maintenance:Software configuration, debugging can realize remote network operation

Multiple data correction modules:Darkroom integrating sphere calibration, radiometric correction, spectral correction and dark current correction

Through the national research unit testing center testing, the national key laboratory regular data calibration benchmark machine

Product Overview

Spectral data is the basic data source for remote sensing information inversion, and the XST-SpectralNet Multi-Angle Fully Automated Hyperspectrometer (MAGHAS) provides a low-cost and high-efficiency measurement method for realizing the automatic measurement of all-weather hyperspectral data, which can be applied to the acquisition of long-time series of spectral data and monitoring of ecological and environmental variables.

Product Features

Direct measurement of parameters: hyperspectral raw data, spectral reflectance data, normalized vegetation index (NDVI), red edge index (REI), leaf photochemical index (PRI), photosynthetically active radiation (PAR)

Simulation parameters:: Chlorophyll/carotenoid index (CCI), soil moisture (depending on use scenario)

Support customization: Users can provide parameters, multiple computational models, we realize the module embedded automatic computation

Application Areas

The field of plant physiology:To improve the ability to continuously monitor important parameters in models of photosynthetic processes in land surface vegetation over long periods of time, to improve the accuracy of photosynthesis descriptions, and to support the development of a parameterization scheme for radiation mechanisms in land surface canopies.

The field of plant ecology:Provide refined real-time photosynthetic energy allocation parameters to provide time-series site data for evaluating ecological effects and conducting day-by-day and regional-scale carbon predictions to help the dual-carbon goal.

The field of land remote sensing:It has the ability to support the assimilation of real-time data on the growth process of land surface vegetation and remote sensing observation, to provide network nodes for regional networking observation, and to support the ground validation of remote sensing observation data, including those from China's carbon satellites.

Technical Parameters