Spectra Lab
@spectralab.gr
Τhe Spectra Lab Group belongs to the Laboratory of Remote Sensing, Spectroscopy & Geographic Information Systems (GIS) of the Faculty of Agriculture, Forestry, and Natural Environment of the Aristotle University of Thessaloniki (AUTh) led by Professor George Zalidis.We are considering ourselves just a little bit of experts on the fields of Environmental Computational Science, Explainable
Spectra Lab's Company Logos


Spectra Lab's Brand Colors
Hex Code
Color name
RGB
HSL
CMYK
#011835
Midnight
1, 24, 53
213, 96, 11
98, 55, 0, 79
#FFFFFF
White
255, 255, 255
0, 0, 100
0, 0, 0, 0
#444444
Tundora
68, 68, 68
0, 0, 27
0, 0, 0, 73
About Spectra Lab
Spectra Lab is a brand that belongs to the Laboratory of Remote Sensing, Spectroscopy, and GIS of the Faculty of Agriculture, Forestry, and Natural Environment at the Aristotle University of Thessaloniki. Led by Professor George Zalidis, we are a team of interdisciplinary scientists specializing in various fields such as Environmental Computational Science, Explainable Artificial Intelligence, Spectroscopy, and Integrated Sensing Systems. Our expertise lies in designing and developing methodologies for sustainable natural resource management and environmental monitoring.
Using the power of computational intelligence and cutting-edge sensing technologies, including our customized solutions, we handle big data to enhance the practice of sustainable agriculture and food security. Our range of products and services includes Earth Observation innovation techniques, digital tools for environmental management, modelling predictions for climate change mitigation, and the use of novel digital tools in the agri-food chain. We also offer monitoring applications in agricultural resource management and environmental reporting.
At Spectra Lab, we are excited about our recent findings, such as Topsoil Organic Carbon Estimations in Greece via Deep Learning and Open Earth Observation Data, which was presented at IGARSS 2023. Our innovative approach and the inclusion of neighboring pixel data have greatly improved the accuracy of our predictions, showcasing our commitment to research and innovation. Join us in our mission to create integrated solutions for sustainable natural resource management, supporting crucial initiatives like CAP, WFD, and SDGs.
Contact us today to learn more about how our expertise and cutting-edge technologies can benefit your environmental monitoring needs
Brand industry
Science and Education
Company type
Privately Held
Year founded
2000
Company size
2-10 employees
