Early detection of declining forest health is critical for the timely intervention and treatment of droughted and diseased ...

WASHINGTON – The U.S. Naval Research Laboratory (NRL) launched a remote sensing experiment to sharpen artificial intelligence ...

Now, new observations from the Hubble Space Telescope have provided an important clue. Researchers found evidence that the ...

Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and ...

Abstract: Semantic segmentation of remote sensing images is crucial for disaster monitoring, urban planning, and land use. Due to scene complexity and multiscale features of targets, semantic ...

Remote sensing plays a pivotal role in mapping and analyzing the dynamics of flash flood and debris flow disasters. Historically, flash floods and debris ...

Abstract: Small target detection in remote sensing images is a significant research focus within the remote sensing domain. Recently, various YOLO algorithms have demonstrated remarkable achievements ...

“It just seems kind of nutty,” Peter Cappelli tells Fortune, on a Zoom call, as he and his coauthor, Ranya Nehmeh, discuss their new, aptly titled book, In Praise of the Office. The past five years ...

This repository contains the code implementation for the paper RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models, developed based on the MMSegmentation project. The current ...

Earning over $100,000 per year while being able to work from home and avoid a demanding schedule might seem like you’re asking for too many things on one career wishlist. The reality, though, is that ...

A team of CU Boulder researchers has introduced a quantum sensing technique that could lead to improvements in how we monitor infrastructure, detect changes in the environment and conduct geophysical ...