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Field
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(incl. roads, railways, and waterways) as well as their associated engineering structures (bridges, retaining walls, noise barriers, and hydraulic structures). A wide range of remote sensing data may be
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In this position, you will join our Simulation and Data Lab for AI and Machine Learning for Remote Sensing . The lab advances interdisciplinary research and operational services by combining
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. The combined observation of soil processes with plant functional traits and structure of vegetation captured by remote sensing (e.g. LiDAR, multi- and hyper-spectral imagery) in experiments and at contrasting
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remote sensing and current and upcoming hyperspectral missions offer a timely opportunity to advance large-scale monitoring and diagnosing of ecosystem processes. In the recently funded NWO project ‘ASCENT
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heterogeneous sources of information—including remote sensing, forest inventory data, existing forest maps, environmental and climatic data, and emerging large-scale AI representations—can be jointly exploited
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platform, offering significant discounts on travel, culture, technology, gastronomy, sports and more. Healthy offering– “Feel Good, Feel VHIR”: VHIR’s wellbeing programme offers a variety of activities to
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for admission. The project would suit a candidate with a background in surveying/geodesy, geomatics, remote sensing, geospatial science, civil/environmental engineering, hydrology, Earth observation
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, combining biodiversity surveys, animal movement data, landscape modelling and remote sensing to understand how trees within agricultural landscapes influence wildlife movement and landscape connectivity
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investigate the wildlife connectivity potential of tree-based agricultural systems, combining biodiversity surveys, animal movement data, landscape modelling and remote sensing to understand how trees within
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and remote sensing data from both the Arctic and Antarctic sea ice regions. Based on this new understanding, the candidate will develop parameterizations that can emulate these physics for use in more