Industry: Environment Region: Luxembourg Transaction price: US$ 1 million Transaction method: equity investment
Project introduction:
A company in Luxembourg uses satellites for environmental analysis. The company uses advanced algorithms and data pipelines to extract valuable high-resolution data from regularly updated global satellite data sets. With the help of spatial data, deep learning aims to help build a more sustainable future. Enterprises are good at using data to deal with major environmental challenges, such as water resources management, urban forest growth, natural disaster prevention and adaptation to climate change, and provide customers with regularly updated, affordable and easy-to-operate solutions.
Enterprise technology introduction:
Firstly, satellite images with global coverage are obtained from visible light, thermal imaging and radar sensors, and then the original images are processed to improve data consistency by reducing the influence of clouds, shadows and calibration differences. Advanced machine learning extracts high-resolution analysis from low-resolution data. The verified data output is directly transmitted to the internal system for decision-making.
Technical application fields:
1. Urban forestry
Promote the development of urban forestry by monitoring the health and growth of trees, and identify urban heat island through high-resolution surface temperature monitoring.
2. Water resources management
Improve the management of urban and rural water cycle by using satellite data to create new tools; Using remote sensing and deep learning to improve flood mapping, so as to improve the city's flood control ability.
Cooperation mode:
Seek partners who need satellite data environmental analysis services in urban forestry, water resources, infrastructure management and other fields.