Environmental Analysis

How is spectroscopy being used to detect methane and contribute to sustainability missions?

Inductively coupled plasma–mass spectrometry (ICP-MS) is a popular atomic-based technique, and it can be used to solve some of our most pressing environmental issues.

Webinar Date/Time: Tue, Jun 9, 2026 11:00 AM EDT

Webinar Date/Time: Thu, Jun 18, 2026 2:00 PM EDT

Can visible-near-infrared (vis-NIR) spectroscopy detect toxic trace elements in soil and sediments effectively?

Webinar Date/Time: Tue, May 26, 2026 11:00 AM EDT

A peer-reviewed study published in Remote Sensing confirms that a commercial Earth-observation satellite can map live coral cover with accuracy comparable to specialized aircraft — a potential turning point for global reef monitoring.

Researchers combined two analytical techniques to characterize individual microplastic particles with both elemental and molecular detail.

A new study used predictive modeling to identify wood species in the Amazon.

A recent study highlights the pervasive reach of plastic pollution.

Webinar Date/Time: Thu, Apr 16, 2026 11:00 AM EDT

A 2026 study published in the journal Remote Sensing tested Germany’s EnMAP hyperspectral satellite to see if it could identify and map acid mine drainage (AMD) and associated mineral residues from a legacy sulfide mine in Sardinia, Italy.

In this tutorial article, we review the latest in microplastic analysis, highlighting the techniques that have been frequently used in this space and where they have been most effective.

A study in the Journal of Environmental Management shows that wastewater treatment plants in coastal Catalonia remove most microplastics but still release tens of billions of particles annually, with emissions peaking during warmer, tourism-heavy months due to environmental and population-driven pressures.

Researchers at the University of Minnesota have developed a dual AI framework that uses synthetic vegetation index data and an advanced Transformer-based segmentation model to significantly improve early detection of winter damage on golf course turf.

Researchers at Jiangnan University have developed a rapid, one-pot magnetic enrichment and electrochemical sensing platform that enables highly sensitive, streamlined detection of polystyrene microplastics.

A recent study demonstrated that hyperspectral imaging offers a highly accurate, dramatically faster alternative to traditional FT-IR methods for identifying microplastics in the Po River.

Researchers at Washington State University Tri-Cities demonstrate that combining Raman and infrared spectroscopy with convolutional neural networks enables highly accurate, low-cost, and field-ready automated plastic identification.

A recent study from researchers in Indonesia and Taiwan demonstrates that tourism intensity on Gili Trawangan Island is strongly linked to higher microplastic contamination in coastal waters, sediments, and fish, highlighting the need for targeted waste management and sustainable tourism policies to protect vulnerable island ecosystems.

A recent study demonstrates that full-range spectroscopy offers a highly accurate, scalable, and efficient solution for identifying Amazonian tree species across diverse ecosystems.

A recent study demonstrates that near-infrared (NIR) spectroscopy is a fast, cost-effective, and reliable tool for assessing soil and tree ecological traits, offering major potential for large-scale forest conservation and monitoring.

A recent study demonstrated that deep learning combined with ICP spectroscopy can accurately and affordably predict multiple soil properties.

A new study published in Ecological Informatics finds that hyperspectral remote sensing combined with machine learning can accurately predict grassland forage quality across global biomes.

A recent study analyzed sediment cores from estuaries in the Tampa Bay area, revealing the damage that "legacy" nutrients are having on the ecological record there.

Webinar Date/Time: Wed, Dec 10, 2025 11:00 AM EST