Brazilian researchers have developed a methodology that uses remote sensing to map the impact of frost on corn crops. This reduces exposure to climate risks and uncertainty regarding agricultural ...
Tsukuba, Japan—Forests, known as nature's "green dams," play a crucial role in replenishing Earth's groundwater reserves. However, overcrowding in planted forests due to lack of maintenance activities ...
The mountain cryosphere encompasses the frozen high-elevation environments of Earth, including glaciers, snow, permafrost, and river and lake ice. High mountain regions are essential sources of ...
Remote sensing of volcanoes and volcanic processes: integrating observations and modelling -- introduction / D.M. Pyle, T.A. Mather and J. Biggs -- Applicability of InSAR to tropical volcanoes: ...
A new computational model allows researchers to draw on normally incompatible data sets, such as satellite imagery and social media posts, to answer questions about what is happening in targeted ...
Proposed by Egyptian scientists, the proposed GIS technique considers a pumped-hydro project’s head and elevation difference, the penstock-length distance from the base plant, the site’s slopes and ...
How you map out your Professional Master's is up to you, but if you're interested in remote sensing and space mission design, and have a long term goal of being a principal investigator on a future ...
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 ...
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Lightweight framework enables faster, more accurate object detection for UAV remote sensing
Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing the use of unmanned aerial vehicles (UAVs) for real-world applications such ...
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 ...
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