Satellite-based remote sensing detection of methane distribution at landfill sites. Panels a-c depict open dumpsites, while panels d-f show engineered sanitary landfills. Methane is a potent ...

A new artificial intelligence model, PLGMamba, improves hyperspectral image super-resolution by combining local spectral similarity with global ...

Researchers have introduced StarFusion, a cutting-edge spatiotemporal fusion method that significantly improves the temporal resolution and fusion accuracy of high-resolution satellite imagery in ...

Distributed fiber-optic sensors are widely used to monitor temperature and strain in infrastructure, but their spatial ...

A new artificial intelligence model, PLGMamba, improves hyperspectral image super-resolution by combining local spectral ...

International partnerships that provide political and financial contracts are highly needed to conserve tropical rainforests, ...

This research project seeks to address the challenging problem of sharpening remotely sensed hyperspectral imagery with higher resolution multispectral or panchromatic imagery, with a focus on ...

Unfortunately, this book can't be printed from the OpenBook. If you need to print pages from this book, we recommend downloading it as a PDF. Visit NAP.edu/10766 to get more information about this ...

Remote Sensing is the process of detecting and monitoring the physical characteristics of an area by measuring its reflected and emitted radiation at a distance, typically from a satellite or aircraft ...

As carbon markets scale across Kenya’s landscapes, from the mangroves of Lamu to the drylands of Kitui, the question is no longer whether we can measure carbon, but how fast, how accurately, and at ...