Korea Institute of Civil Engineering and Building Technology has successfully developed a real-time, low-cost algal bloom ...

The integration of AI and machine learning algorithms to process and analyze UAV-collected data is becoming more common, enhancing the accuracy and usability of remote sensing information.

A precision ag specialist suggests the use of sensors has been one of the biggest advancements for this generation of farmers ...

New York, Oct. 08, 2020 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Global Remote Sensing UAV Market 2020-2024" - https://www ...

As a result, a novel intelligent system based on UAV remote sensing image can be developed in the future for rapid, large-scale semantic analysis of maize hybridization fields, which will reduce ...

I think this gap reduces the enthusiasm students develop for remote sensing as a whole. The main goal of this project is therefore to introduce the use of a small and inexpensive Unmanned Aerial ...

Physically, drones face risks like battery overheating, structural failures, and hardware degradation. In-flight incidents ...

The Integrated Remote and In Situ Sensing initiative transforms data-collection technologies and strategies by facilitating 4D sight through a ground-to-space sensing column with unmanned aircraft ...

and also make them aware of the emerging trends in remote sensing and its applications. Participants will be given an overview of hyperspectral, SAR, LiDAR and UAV and also introduced to practical ...