Spectroscopy Article Library

Applications

Field Spectroscopy Applications: From Spectral Measurement to Predictive Intelligence
ByJanel Kane October 19, 2026October 19, 2026

Field spectroscopy applications are expanding as hyperspectral remote sensing and machine learning create new opportunities for predictive scientific analysis. Researchers are increasingly connecting spectral measurements with physical and chemical properties that cannot always be observed directly, opening new possibilities across environmental monitoring, soil science, and mineral exploration. The opportunity extends beyond collecting more spectral data….

Read More Field Spectroscopy Applications: From Spectral Measurement to Predictive Intelligence
Environmental | Remote Sensing | Underwater/Marine

Ground-Truth Spectroscopy Reveals the Source of a Southern Ocean Satellite Bias
ByJanel Kane October 2, 2026October 2, 2026

New research using field spectroscopy in Antarctic waters suggests that a long-standing underestimate of chlorophyll-a from satellite observations may have less to do with the chlorophyll retrieval algorithms themselves and more to do with what happens to the signal before those algorithms ever see it. The Southern Ocean is difficult to measure by almost any…

Read More Ground-Truth Spectroscopy Reveals the Source of a Southern Ocean Satellite Bias
Uncategorized

Connecting Field Measurements with Satellite Water Monitoring
ByJanel Kane September 7, 2026September 7, 2026

Suspended sediment presents both an environmental and water-resource management challenge. Sediment accumulation can reduce reservoir capacity and interfere with infrastructure, while elevated SSC increases turbidity, limits light penetration, and can affect aquatic habitats. Monitoring its distribution therefore requires information about both concentration and spatial variability. Traditional water sampling provides quantitative measurements, but only at discrete…

Read More Connecting Field Measurements with Satellite Water Monitoring
Blog Posts | Geology/Mineral extraction | Remote Sensing

Hyperspectral Mineral Exploration Reveals Rare Earth Mineralization Hidden Between Samples
ByJanel Kane August 16, 2026

Hyperspectral mineral exploration is increasingly moving beyond mineral identification toward something more ambitious: using dense spectral measurements to predict mineral composition and grade continuously across geological samples. New research from the Weishan rare earth element (REE) deposit in China demonstrates just how significant that shift could become. Key Takeaways: Hyperspectral Mineral Exploration and REE Detection…

Read More Hyperspectral Mineral Exploration Reveals Rare Earth Mineralization Hidden Between Samples
Agriculture/Forestry | Blog Posts | Remote Sensing

Ground Truth Spectroscopy: Connecting Plant Traits to Hyperspectral Remote Sensing
ByJanel Kane August 10, 2026

Ground truth spectroscopy provides a critical link between the spectral information collected by remote sensing platforms and the physical characteristics of the landscapes those measurements represent. As hyperspectral satellites deliver increasingly detailed observations across larger areas, establishing that connection becomes even more important. A recent feasibility study in Australian eucalypt forests and grasslands offers a…

Read More Ground Truth Spectroscopy: Connecting Plant Traits to Hyperspectral Remote Sensing
Environmental | Remote Sensing | Technical Notes

Soil Spectroscopy: SWIR Improves Carbon and Nitrogen Estimation
ByJanel Kane July 29, 2026July 29, 2026

Soil spectroscopy offers researchers a rapid, non-destructive way to extract information about soil composition, but predictive performance depends heavily on whether the measurement includes the wavelengths that carry meaningful information about the property being studied. Key Takeaways Soil spectroscopy performance depends strongly on spectral range. In this study, models using full-range or SWIR data from…

Read More Soil Spectroscopy: SWIR Improves Carbon and Nitrogen Estimation
Blog Posts | Remote Sensing | Technical Notes | Underwater/Marine

Satellite Ocean Color Validation: Field Spectroscopy Remains Essential for Ground Truth Analysis
ByJanel Kane July 23, 2026July 23, 2026

Satellites have transformed our ability to monitor Earth’s oceans. From tracking phytoplankton blooms and coastal water quality to measuring global carbon cycling, today’s Earth observation platforms provide an unprecedented view of marine ecosystems at scales that would be impossible to achieve through fieldwork alone. Yet for all their sophistication, satellites have one fundamental limitation: they…

Read More Satellite Ocean Color Validation: Field Spectroscopy Remains Essential for Ground Truth Analysis
Agriculture/Forestry | Technical Notes

Radiative Transfer Modeling Starts with Better Spectral Measurements
ByJanel Kane July 16, 2026July 18, 2026

Remote sensing has entered an era where sensor performance is advancing faster than many of the physical models used to interpret the resulting data. Modern hyperspectral systems are capable of resolving increasingly subtle spectral and directional differences, but extracting meaningful information from those observations still depends on accurately modeling how light interacts with complex natural…

Read More Radiative Transfer Modeling Starts with Better Spectral Measurements
Case Studies | Underwater/Marine

Underwater Field Spectroscopy for Coral Health Monitoring
ByJanel Kane June 23, 2026

Coral reefs support some of the most biologically diverse ecosystems on Earth, yet they are increasingly threatened by disease, environmental stress, and changing ocean conditions. Monitoring reef health has traditionally relied on visual inspections, laboratory testing, and microbial analysis, methods that can be time-consuming, invasive, and difficult to scale across large reef systems. How Spectral…

Read More Underwater Field Spectroscopy for Coral Health Monitoring
Technical Notes

Machine Learning Meets Spectroscopy: Can Attention-Based Neural Networks Improve Spectral Prediction?
ByJanel Kane June 23, 2026June 23, 2026

A recent study explores how modern AI architectures may complement traditional radiative transfer models For decades, radiative transfer models have served as foundational tools in spectroscopy and remote sensing. These physics-based frameworks help researchers understand how light interacts with vegetation and other materials, enabling the retrieval of biochemical and structural properties from spectral measurements. Models…

Read More Machine Learning Meets Spectroscopy: Can Attention-Based Neural Networks Improve Spectral Prediction?