Common examples of remote sensing are drone and satellite imagery, as well as handheld devices or sensors mounted on any of ...
Remote sensing may be used to collect information on several important biophysical variables. This capability is in addition to the standard use of remotely sensed data for land-use and land-cover ...
It is the aim of the author to show the general geo-scientific audience how they can profit from the specific view of cartographers when using remote sensing data. Leading from the explanation of ...
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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 ...
Capacitive sensing is a contactless-sensing technique with numerous applications, ranging from proximity sensing (Fig. 1), gesture recognition, automotive rain sensors, and remote liquid-level sensing ...
Researchers at Osaka Metropolitan University have developed SORA-DET, a lightweight and high-performance deep learning model for UAV-based remote ...
Observational data and model simulations are the foundations of our understanding of the climate system 1. Satellite remote sensing (SRS) — which acquires information about the Earth's surface, ...
The Remote Sensing Technology Institute (IMF) is an institute of the German Aerospace Center DLR. It is located in Oberpfaffenhofen (near Munich), Berlin-Adlershof, Neustrelitz (Mecklenburg-Vorpommern ...
RIT hosted ROCX 2025, an open community, major data collection experiment using remote sensing and ground-based ...
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