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time periods. Coupled with other remote sensing variables (e.g. NDVI, canopy height), these datasets offer a foundation for in-depth analysis of forest dynamics. The primary challenge for this PhD
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cycling, and water use efficiency. -Develop decision support tools and yield forecasting platforms using crop models, remote sensing data, and advanced data analytics. -Collaborate with farmers and
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Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water Management. Click here to go to the
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to accelerate their reclamation and ensure that the processes developed can integrate a commercial offer. The ambition of the project revolves around 5 major objectives: 1. Improving remote sensing contaminated
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, includin advanced distributed sensing on autonomous swarms of mobile robots. The goal of this PhD is to explore that opportunity. One challenge is that the connectivity between such embedded devices is lossy