Bird feathers found to release heat into space in first mid-infrared study • Muser Press Heat loss from bird feathers has been measured in the mid-infrared spectrum for the first time, offering new insight into how birds regulate temperature

Scientists measured mid-infrared #reflectance in bird #feathers for the first time, revealing differences across species and populations. The results show how heat-related properties vary with habitat, offering new insight into thermal regulation and materials design. DOI: doi.org/10.1093/iob/...

Abstract: Soil reflectance spectroscopy is a powerful tool for rapid, non-destructive assessment of soil properties and the foundation for data-driven soil science applications. However, systematic discrepancies during routine spectral measurement procedures, particularly those arising from contamination or deterioration of white reference (WR) calibration panels, may compromise spectral data stability and hinder harmonization practices across laboratories. This study investigates the impact of using a non-contaminated WR panel as a calibration target to measure soil reflectance across the visible (Vis), near-infrared (NIR), and short-wavelength infrared (SWIR) spectral regions. The study evaluates the effectiveness of an internal soil standard (ISS) Lucky Bay sand to correct discrepancies within a controlled laboratory setting. Twelve soils from the Israeli Legacy Soil Spectral Library were analyzed using a contact-probe setup that was calibrated with both a clean and a contaminated WR. The spectral correction method, based on IEEE P4005 protocols and the ISS calibration, significantly reduced spectral inconsistencies, especially in the Vis region where contamination effects were most pronounced. Results show that the ISS effectively harmonized spectra acquired under different WR conditions, reducing the modified average spectral difference stability (mASDS) measure across all samples. While ISS correction is commonly employed for cross-laboratory harmonization, our findings highlight its critical role in enhancing intra-laboratory consistency under routine operational variability. We recommend that every WR calibration process will be accompanied with ISS measurements. The continuous use of a well-maintained WR and ISS improves the reliability of soil spectral datasets and supports the long-term harmonization of soil spectral libraries.

New from Applied Spectroscopy!
Mitigating Spectral Errors from White Reference Degradation in Soil Spectroscopy
Read more: https://doi.org/10.1177/00037028251396975
#SAS #Spectroscopy #NIR #SWIR #reflectance $soil

infographic generated by notebooklm on the linked paper: a cloud of point is fed from a satellite to a data reduction pipeline and results in surface maps of different colors

I fed a book chapter I wrote into #notebooklm and got some nice infographic (basically a poster) and slides, with some hallucinations.
Article "Automated surface mapping via #unsupervised learning and classification of #Mercury Visible–Near-Infrared #reflectance spectra"

Abstract Tropical mosquitoes transmit diseases like malaria, yellow fever, and Zika. Classifying mosquitoes by species, sex, age, and gravidity offers vital insights for assessing transmission risk and effective mitigations. Photonic monitoring for mosquito classification can be used in distributed sensors or lidars on longer ranges. However, a reflectance model and its parameters are lacking in the current literature. This study investigates mosquitoes of different species, sexes, age groups, and gravidity states, and reports metric pathlengths of wing chitin, body melanin, and water. We use hyperspectral push-broom imaging and laser multiplexing with a rotation stage to measure near-infrared spectra from different angles and develop simple models for spectral reflectance, including wing thickness and equivalent absorption path lengths for melanin and water. We demonstrate wing thickness of 174 (±1) nm – the thinnest wings reported to our knowledge. Water and melanin pathlengths are determined with ∼10 µm precision, and spectral models achieve adjusted R² values exceeding 95%. While mosquito aspect angle impacts the optical cross-section, it alters shortwave infrared spectra minimally (∼2%). These results demonstrate the potential for remote retrieval of micro- and nanoscopic mosquito features using spectral sensors and lidars irrespective of insect body orientation. Improved specificity of vector monitoring can be foreseen.

New from Applied Spectroscopy!
Deadliest Animals with the Thinnest Wings: Near-Infrared Properties of Tropical Mosquitoes
Read open access 🔓: https://doi.org/10.1177/00037028251341317
#SAS #Spectroscopy #NIR #mosquitoes #spectral #reflectance #remote #hyperspectral

Image consists of a picture of the sorting instrument, image of two kernels (waxy and wild type), and a scheme of the process: maize kernels -> near-infrared reflectance (NIR) Spectroscopy -> linear discriminant analysis (LDA) -> waxy maize prediction equation -> images of training and validation sets -> Waxy maize kernel validation prediction accuracy: 88% -> NIR single kernel waxy sorting

New from Applied Spectroscopy!
Classification of #Waxy #Maize Kernels Using Single #Kernel Near-Infrared Reflectance #Spectroscopy

Read more: https://doi.org/10.1177/00037028251349556
#SAS #NIR #reflectance #corn #nondestructive

[Open Access]
Reflectance spectral studies of spark plasma sintered tungsten carbide pellet
2025 Jpn. J. Appl. Phys. 64 010905

iopscience.iop.org/article/10.3...

#JJAP
#physics
#Openaccess
#solar
#absorber
#thermal
#energy
#reflectance
#plasma
#theory
#calculation

Herbarium spectral digitization workflow from specimen collection to global integration, and challenges.

Next-generation specimen #digitization: capturing #reflectance spectra from the world's #herbaria for modeling plant biology across time, space, and taxa

#TansleyReview by Jeannine Cavender-Bares, et al.

nph.onlinelibrary.wiley.com/doi/10.1111/...

#PlantScience

Can we find #floating #vegetation on #ocean #planets?

By conducting lab measurements and satellite remote sensing analyses, #reflectance #spectrum of floating vegetation has found to be a promising #biosignature. scitechupdates.com/c...

Omnidirectional #reflectors boost light extraction and mechanical flexibility in flexible top-emission #OLEDs, achieving over 96% #reflectance, and #stability after 2,000 bending cycles.

Open Access #IJEM👉http://doi.org/10.1088/2631-7990/ad92ca

#ExtremeManufacturing #Electronics #Multilayer

To those who are familiar with this sort of photography, the grass is a dead giveaway. I'm always fascinated how this sort of spectral pickiness can yield dramatically unusual reflectances across different materials and pigments.

Oh yeah, forgot I had this one. Special photography.

#AcrylicPainting #Painting #Photography #ExtraVisual #Spectral #Reflectance #FurryArt

Happy #FluorescenceFriday 🎆

Single breast cancer cell crafting a microtrack through 3D collagen gel ✂️
In collaboration with @olivierchancy.bsky.social 🔬

#Reflectance #Mechanobiology #LiveImaging #microscopy

#PAVO help! Please, anyone who has worked with colour, why can't we use this code anymore? #R #reflectance #spectra Have tried everything I can think of

📸 #multispectral #reflectance #imaging

x.com/nationaltrust/…

Evaluation of wavelet spectral features in pathological detection and discrimination of yellow rust and powdery mildew in winter wheat with hyperspectral reflectance data Hyperspectral absorption features are important indicators of characterizing plant biophysical variables for the automatic diagnosis of crop diseases. Continuous wavelet analysis has proven to be an advanced hyperspectral analysis technique for extracting absorption features; however, specific wavelet features (WFs) and their relationship with pathological characteristics induced by different infestations have rarely been summarized. The aim of this research is to determine the most sensitive WFs for identifying specific pathological lesions from yellow rust and powdery mildew in winter wheat, based on 314 hyperspectral samples measured in field experiments in China in 2002, 2003, 2005, and 2012. The resultant WFs could be used as proxies to capture the major spectral absorption features caused by infestation of yellow rust or powdery mildew. Multivariate regression analysis based on these WFs outperformed conventional spectral features in disease detection; meanwhile, a Fisher discrimination model exhibited considerable potential for generating separable clusters for each infestation. Optimal classification returned an overall accuracy of 91.9% with a Kappa of 0.89. This paper also emphasizes the WFs and their relationship with pathological characteristics in order to provide a foundation for the further application of this approach in monitoring winter wheat diseases at the regional scale.

Detection and discrimination of stripe #rust and powdery #mildew in #wheat with #hyperspectral #reflectance data

remotesensing.spiedigitallibrary.org/article.aspx?a…