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 ...
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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 ...
A new global dryland assessment using long-term satellite observations reveals widespread vegetation greening over the past two decades, reversing long-held expectations of accelerating ...
A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a ...
CUHK No.1, the world's first artificial intelligence (AI) large-model satellite developed by the Chinese University of Hong Kong (CUHK), is launched from waters off Yangjiang in S ...
Tool uses remote sensing to reduce uncertainties regarding agricultural losses, contributing to public policy.
AZoSensors on MSN
New Sampling Method Dramatically Improves Remote Sensing Accuracy
A new complexity-based sampling optimization method is set to improve the accuracy and reliability of remote sensing ...
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 ...
From left: Cohen, Gopinath, Krueper in the lab. Their paper, “Realistic model of entanglement-enhanced sensing in optical fibers,” was published in Optics Express earlier this year. Research into ...
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