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Advancing the monitoring of seagrass dynamics with hyperspectral remote sensing Project description: Seagrasses provide numerous ecological functions and ecosystem services, including food and
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; collecting, recording and sharing data and samples using highly instrumented monitoring sites, surveys and remote-sensing techniques such as drones and satellites. TERN’s model-ready data enables researchers
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highly instrumented monitoring sites, surveys and remote-sensing techniques such as drones and satellites. TERN’s model-ready data enables researchers, land managers and policy-makers to detect and
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and samples using highly instrumented monitoring sites, surveys and remote-sensing techniques such as drones and satellites. TERN’s model-ready data enables researchers, land managers and policy-makers
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detectors (GWD), including advanced numerical simulation and analysis tools; ultra-sensitive wavefront sensing and compensation techniques; adaptive optics; high-precision measurement of optical absorption in
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individual will play a pivotal role in advancing our ability to measure novel traits in the field, supporting agricultural research and innovation. To be successful you will need: PhD in Remote Sensing
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highly instrumented monitoring sites, surveys and remote-sensing techniques such as drones and satellites. TERN’s model-ready data enables researchers, land managers and policy-makers to detect and