Welcome to the Mississippi State University Geospatial Computing for Environmental Research (GCER) Lab in the Department of Agricultural and Biological Engineering. We study land and water resources management using Earth Observation data. Our scientific work addresses many relevant Earth's process questions using deep learning models, including land cover and land use change, water quantity and quality, agricultural conservation practices, and climate change.
Geospatial Computing for Environmental Research Lab is focused on satellite multi-spectral data and deep learning techniques for monitoring land and water resources. The current research undertaken by the lab includes three major themes: 1) deep learning land cover and land change monitoring, 2) remote sensing of water quality, and 3) precision conservation for agricultural production systems. We tackle scientific questions for a better understanding of the environment and to propose innovative solutions for natural resources management.
We integrate deep learning, satellite data, and field data collection to solve real-world problems, and we have been using several satellite data products at distinct spatial scales. Dr. Martins, an agricultural and biosystems engineer, is the PI of the GCER lab and leads the research group, with support from the affiliated MSU faculty.
Mission
Earth Observations provide the opportunity to understand environmental issues and integrate different data sources to propose science-based solutions. Environmental research is a broad topic that can be explored from many perspectives, and our mission is to re-think and advance knowledge with new satellite multi-spectral sensors, computer vision techniques, and long-term data records to leverage the understanding of terrestrial processes to better manage the land and water resources.
"Geospatial computing is a powerful science that helps the data-driven investigation of Earth science questions across space and time to transform the knowledge in actions. As engineers, we propose science-based solutions for sustainable use of natural resources, and clearly communicate the results for society"
Vision
The advance of satellite sensors, cloud-based computing, and artificial intelligence will engine the geoscience field in the coming years and will establish a new perspective in environment monitoring from local to global scales, and GCER lab is looking to contribute with intra-disciplinary, rigorous, AI-driven research on this topic.
