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

In a recent report, remote-work site FlexJobs noted that work-from-home job postings recently increased by 3%, indicating ...

The watchdog also found that the data on the number of teleworkers and remote workers DoD previously reported is likely ...

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

“The Navy has always depended on its ability to sense, interpret, and respond to the environment,” said NRL’s Information ...

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

A shortage of qualified AI engineers and other talent as well as escalating corporate reliance on AI strategy are pushing AI ...

Abstract: Remote sensing image classification plays a crucial role in scene understanding task interpretation. Currently, remote sensing image classification is constrained by the complexity, ...

Abstract: In remote sensing image (RSI) super-resolution (SR), traditional deep learning methods have made remarkable progress. However, these methods struggle to handle the complex mapping between ...

Some companies are keeping remote work policies even as other firms call people back to the office. Companies like Atlassian, Dropbox, and Deel report increased job applicants and retention rates.

This repository is the code implementation of the paper AgriFM: A Multi-source Temporal Remote Sensing Foundation Model for Crop Mapping. AgriFM is a multi-source temporal remote sensing foundation ...