XST-PhotoNet-NDVI Spectral Climate Monitoring System

XST-PhotoNet-NDVI Spectral Climate Monitoring System

Multiple band spectra availableoption Multiple vegetation indices can be customized

Long-term operation in the field with automatic index calculation,real time output

5 megapixels, optionalmake up (a prescription)8 megapixelscamera shot (in a movie etc)

be in favor of20x optical zoom, full anglecontrollablespruce

Group, individual and local free acquisition, customized preset points

Easy field installation and software configuration,Commissioning is fully remote

Product Overview

The spectral climate monitoring system independently developed by Beijing StarView Technology Co., Ltd. is based on accurate multi-spectral imaging technology and built-in multiple climate and vegetation index algorithms to realize online automated monitoring of plant climate. It provides professional solutions for the monitoring of plant growth in agriculture, forestry and grassland, ecological environment research, remote sensing ground verification and other fields of scientific research.

System Components PhotoNet series multi-spectral weather camera, XST-Link intelligent data collector, remote data transmission system, SmartViewer weather camera data processing system software, power supply system and installation accessories.

system hardware The spectral bands of PhotoNet multi-spectral weather camera can meet the user's various customized needs, NDVI version is a five-band model, and for other bands, please refer to the XST-PhotoNet series of weather cameras. It can be equipped with optional gimbal to realize multi-directional target observation; it can be equipped with 20 times optical zoom function to enrich the observation angle, such as observing the group climate in large scene with long focal length, observing the individual and even local climate such as leaves, flowers and fruits with close focal length; it can be equipped with additional functions such as laser ranging, air temperature and humidity and three-dimensional inclination monitoring, which can be synchronized with the climatic image and the vegetation index to make measurement at the same frequency; it can be equipped with additional infrared thermography, which can extract parameters of the highest temperature and the average temperature and customize temperature range extraction. parameters, and customized temperature range extraction.

system software In addition to the built-in automatic algorithms, SmartViewer Climate Camera Data Processing System is also provided, which is a PC-based climate image data processing software developed for XST-PhotoNet series products, and it can batch process, filter and interpolate the original time series image data of the products, freely select the region of interest of the ROI, calculate a variety of vegetation indices, and extract the key climatic periods. curve fitting and key seasonal period extraction.

Application Cases

Application Case I In the spring of 2023 at the Changbaishan Forest Ecosystem Positioning Station of the Chinese Academy of Sciences (CAS), the weather image data obtained by the StarView Spectral Climate Camera and the corresponding NDVI vegetation index are analyzed as follows: From the curved image, it can be seen that the changes in NDVI values are a true reflection of the vegetation growth conditions in the corresponding image. By analyzing the curvature of the curves, we can obtain the group climatic periods of the forest: the greening period, the transition period of green canopy maturity, and the seasonal blooming period. 

Application Case Two Climatic image data of local crop alfalfa obtained by Star View Spectral Climate Camera and NDVI vegetation index analysis of Qingyang National Field Monitoring Station, College of Grassland Agricultural Science and Technology, Lanzhou University are shown below:

The left figure shows the picture of on-site instrument installation at Qingyang Station in late February 2023; the right figure shows the result of instrument data analysis, and the data were screened, rejected, interpolated, and fitted by the climatic image processing system software of StarView to obtain the curve of NDVI growing season change.

In March and April 2023, the data were missing due to insufficient power supply from the system, so the data were interpolated by the software; in the later period, the data were complete, and the vegetation cover and harvesting situation could be clearly seen in the NDVI curves. snowfall in December 2023 and January 2024 caused a sudden drop in the NDVI values: snow has the spectral characteristic of reflecting red light and absorbing infrared light, which led to the negative value of the NDVI.

The variation characteristics of the above NDVI curves can be verified from the following RGB photographs obtained from the phenology camera:

Technical Parameters