Oil pollution remains a critical environmental challenge with extensive impacts on marine and coastal ecosystems. Remote sensing offers a powerful, non-invasive means to detect, quantify and monitor ...

Watershed morphometric analysis constitutes a vital methodology for deciphering the physical character and behaviour of drainage basins. By quantifying parameters such as drainage density, bifurcation ...

In a recent systematic review published in the International Journal of Environmental Research and Public Health, researchers examined the use of geospatial tools, methods, and techniques such as ...

The environment is changing, particularly along our coasts where sea levels are rising. Knowing how to mitigate these changes requires a deeper understanding of how the coastal ocean responds to ...

Advance Your GI Science Knowledge With MTU's Remote Sensing Certificate. Mountainous terrain, dense forests, swamps and wetlands, and coastal groves and mangroves. These are some examples of difficult ...

They're all around us: sensors and satellites, radars and drones. These tools form vast remote sensing networks that collect data on the climate, the ground, the air, and the water. This information ...

Analyze images and other data to solve problems across disciplines. Imagery and other data collected by satellites, crewed aircraft, and uncrewed aerial systems (UAS) are increasingly important for ...

No audio available for this content. NV5 Geospatial’s distribution network data shows pole usage. (Image: Nv5 Geospatial) Asset and vegetation management applications help utilities minimize risk and ...

The extreme weather events and resulting destruction that have hit New Zealand this summer are not only signs of a changing ...

a multidimensional poverty index (MPI). Using state-of-the-art machine learning algorithms, findings suggest that the model had relatively low levels of predictive accuracy, insufficient to provide ...

The Remote Sensing for Natural Resources certificate focuses on using satellite and aerial imagery to monitor, measure, and model natural systems. Learn how to interpret remote sensing data to support ...