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Chang Guang Satellite Technology Co., Ltd. was established on December 1, 2014, as China's first commercial remote sensing satellite company. On October 7, 2015, CGSTL independently developed "Jilin-1" satellite group, consisting of four satellites, was successfully launched using a Long March-2D carrier rocket at China's Jiuquan Satellite Launch Center, marking the beginning of China's commercial space era and pioneering the application of commercial satellites in China.
The "Jilin-1" satellite is China's first independently developed commercial high-resolution remote sensing satellite, the first independently developed "integrated satellite" for commercial use, the first independently developed meter-level high-definition dynamic video satellite in China, and it represents the first successful on-orbit imaging using a nimble method. It also marks the first successful on-orbit verification of domestically produced CMOS technology.
On June 15, 2023, the "Jilin-1" high-resolution 06A series satellites, "Jilin-1" high-resolution 03D19 satellite, "Jilin-1" platform 02A01-02 satellites, and other 41 satellites were launched, setting a record for the most satellites launched in a single mission in China's aerospace history. The "Jilin-1" constellation increased to 108 satellites in orbit, signifying the successful achievement of the "hundred satellites in orbit" milestone for the "Jilin-1" constellation network project.
By around 2025, the "Jilin-1" will achieve a network of 138 satellites. The "Jilin-1" satellite constellation will have a cumulative coverage area of 133 million square kilometers, with the capability to cover the globe three times a year and cover the entire country nine times a year.
Flood Disaster in Brazil
Starting from April 29, 2024, due to a week of heavy rainfall, the southernmost state of Rio Grande do Sul in Brazil experienced severe flood disasters, causing floods and landslides.
Following the Brazilian flood, the "Jilin-1" satellite promptly initiated an emergency response, dispatching high-resolution remote sensing satellites to conduct emergency imaging of the disaster area, surveying the affected areas, and quickly obtaining satellite imagery data.
Earthquake and Landslide Disaster Assessment and Relief in Indonesia
In mid-to-late March 2024, Indonesia experienced multiple earthquakes above magnitude 6, accompanied by localized landslides and building damage. The United Nations Institute for Training and Research (UNITAR) released an assessment report on the Indonesian earthquake disaster.
CGSTL quickly dispatched the resources from Jilin satellite constellation to acquire post-disaster programming data, which was promptly submitted to the National Comprehensive Earth Observation Data Sharing Platform to provide information for disaster assessment, decision-making, and disaster relief efforts.
Surface Map
CGSTL ground cover classification map product inherits the classification systems of geographic national conditions monitoring, land use status classification, and domestic and foreign surface cover products. Based on the multispectral data of "Jilin-1" 5M resolution satellite image, and utilizing artificial intelligence algorithms, it quickly performs surface cover classification and identification. This product can provide reference for natural resource investigation and monitoring, land use macro planning, and other applications.
The primary users of the surface cover classification products are government departments related to agriculture, forestry, water resources, environmental protection, and planning, as well as enterprises, research institutes, and universities engaged in related industries. In the field of natural resources, it can provide dynamic land use monitoring, land planning, land remediation, resource exploration, agricultural yield estimation, and natural resource supervision to the relevant departments.
Urban and Rural Development
Using the "Jilin-1" sub-meter level night light remote sensing images, applications such as urban development monitoring, human activity monitoring, and housing vacancy rate monitoring can be conducted.