Independent research consultancy specializing in cutting-edge environmental science, combining remote sensing technologies with deep learning methodologies to address critical challenges in climate and ecosystem monitoring.
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Advanced satellite data processing and analysis for environmental applications, leveraging multi-spectral and hyperspectral imaging to monitor ecosystem changes and land surface dynamics.
Development and implementation of neural network architectures for environmental data interpretation, including CNN-based classification and time-series prediction for ecological monitoring.
Comprehensive environmental assessment and monitoring systems, integrating field observations with satellite-derived metrics to quantify ecosystem health and climate change impacts.
Completing critical research publications for NASA's Arctic-Boreal Vulnerability Experiment (ABoVE), investigating ecosystem responses to environmental change in northern regions. This work combines advanced remote sensing techniques with machine learning to understand and predict climate-driven changes in vulnerable arctic and boreal ecosystems.
Interested in partnering on environmental research projects, remote sensing analysis, or deep learning applications for ecological monitoring? Let's discuss how we can advance scientific understanding together.
Contact UsThis work was supported by the National Aeronautics and Space Administration (NASA) through awards NNX15AU08A to Dr. Mark Chopping and 80NSSC23K1559 to Dr. Darko Radakovic.
This work utilized data made available through the NASA Commercial Satellite Data Acquisition (CSDA) Program. ©2002–2020, Maxar, USG Plus.