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 mainly used for long-term positioning and monitoring of plant climate growth. The equipment is based on accurate multi-spectral imaging technology and built-in multiple climate and vegetation index algorithms, realizing online automated monitoring of plant climate.

It provides professional solutions for scientific research work in many fields, such as plant growth monitoring in agriculture, forestry and grassland, ecological environment research, and remote sensing ground verification.

Application Cases

The case for forest vegetation phenology ►

Climatic observation images and NDVI vegetation index change curve of Wanglang Mountain Ecological Remote Sensing Integrated Observation Experimental Station in 2024

From the curve image, it can be seen that the change of NDVI value is the real reflection of the vegetation growth condition in the corresponding image.

April 17, 2024 Little green vegetation: greening period | May 17, 2024 New leaf growth on vegetation: green maturity transition period

July 23, 2024: Seasonal Flourishing | December 21, 2024: Dormant Regulating Period

The case of grass weather observation ►

Data from late May 2024-November 15, 2024 were analyzed at the Hulunbeier Te Naihe Grassland Experimental Station facility of China Agricultural University.

One of the first snowfalls of the winter was on October 21, which was clearly expressed in the NDVI fitting curve, i.e., the NDVI value suddenly dropped to negative, and then with the melting of the snow (basically melted on October 26), the NDVI was back to about 0 again.

Inflection points were extracted from the trend of daily NDVI data analysis curves during the growing season to obtain the time points of the phenological period:

Growth period:Since the May observation data, through June 18th.

Reproductive growth period (flowering, fruiting): June 18-September 11

withering period::September 11-October 20

Cases of climate observation in agricultural fields ►

Beijing Normal University (BNU) has realized high-precision real-time monitoring of maize phenological period (BBCH) by using a spectral climate camera to acquire spectral and texture information from fused RGB and near-infrared images. StarView can provide customized services of machine recognition function for the demand of automatic climate period recognition of flowers and fruits of specific vegetation.

Spectral response curve of a spectral weathering camera ►

Case Documentation:

Real-time monitoring of maize phenology using ground camera fusion information; State Key Laboratory of Land Surface Processes and Resource Ecology, Zhao Qi et al.

A Comparative Study of the Effects of Vertical and Inclined Camera Observations on the Validation of Remotely Sensed Climate Parameters; Beijing Normal University, Lina Xu et al.

Technical Parameters