soilspec

Tweeting about diffuse reflectance spectroscopy for soil science and updates from USDA NIFA FACT CIN Soil Spectroscopy for the Global Good project

[soilspec @soilspec]

It is great to see the OSSL being used in so many applications.

Selecting the right samples rather than more samples: A new spectral–e... https://t.co/r26vfUzxa9

[soilspec @soilspec]

https://t.co/xMhRJW9iJR

[soilspec @soilspec]

More evaluation of low‐cost Vis–NIR spectrometers - combination of two sensors works nearly as well as lab-grade instruments...
https://t.co/APqvIRuzcE

[soilspec @soilspec]

Neat paper emulating various low cost sensors using the LUCAS VisNIR spectral database - conclusion: sensors that cover the later part of the NIR range are much better than those that only cover the lower wavelengths
https://t.co/gclOLO3lVV

[soilspec @soilspec]

Application of calibration transfer techniques between different mid‐infrared spectrometers/modules to improve accuracy in estimating soil properties in @sssajournal

https://t.co/fj3ugqTP5P

[soilspec @soilspec]

@zecojls & @sandersoil are looking for a young talented pedometrician (data-driven soil scientist) to join our team -- https://t.co/yHK7ifswsH

[soilspec @soilspec]

Combining digital microscopy with VNIR spectroscopy to estimate aggregation

https://t.co/YSc0aKqWO9

[soilspec @soilspec]

Soil Organic Carbon Prediction Using an Efficient Channel Attention‐Enhanced CNN‐LSTM Model With LUCAS Spectral Library
https://t.co/jy7xpzbQ1Q

[soilspec @soilspec]

MIR spectroscopy was used as a diagnostic tool to better understand what each Pyrogenic Carbon method was actually isolating.

[Jonathan Sanderman @sandersoil]

Interested in fire-derived carbon in soils? Interested in how to quantify this pyrogenic carbon? Read on...

https://t.co/96rV0zktPw

[soilspec @soilspec]

Nice paper by a great team working across multiple soil spectral libraries to produce quality predictions from field measurements - good harmonization & standardization methods are the key
https://t.co/XiQrShSpvf

[soilspec @soilspec]

Effective spectral pre-processing methods enhance accuracy of soil property prediction by NIR spectroscopy
https://t.co/jYVTM2cVez

[Jonathan Sanderman @sandersoil]

https://t.co/tOXqw7kijV

We're looking for a talented data/code wrangler to join our rangeland carbon research program to understand the climate benefits of regenerative grazing practices across millions of acres of grasslands.

[soilspec @soilspec]

Proficiency tests for soil analysis services via proximal sensing
https://t.co/OH6EimmDy5

[soilspec @soilspec]

A must read by Wadoux & Ramirez-Lopez. Uncertainty of predictions in absorption spectroscopy https://t.co/gv1vNkuFJ0

[soilspec @soilspec]

Exploring Generative Artificial Intelligence and Data Augmentation Techniques for Spectroscopy Analysis | Chemical Reviews https://t.co/D55F4tGcH3

[OpenGeoHub Foundation @opengeohub]

After almost 3 years of data preparation, testing, optimization, we have finished the v1 of the 30 m resolution global #soilcarbon density, soil carbon content, pH, texture fractions, bulk density and soil types (USDA subgroups). Soil carbon and soil pH are mapped as dynamic soil variables for 5-year intervals; soil texture fractions, bulk density and soil types as static vars. The preprint of the paper is at: https://t.co/7Zb07CA1HJ
Maps are available under CC-BY license #OpenData as COGs from: https://t.co/Ff33WLHzZa (almost 6TB of data).

Our results show that #landdegradation & intensive urbanization leads to losses in SOC; in some places these losses are significant. Although the uncertainty of the predictions is still relatively limited, we believe that investing in processing #Landsat archive and investing in harmonizing soil laboratory data was worth the effort.

But this is just a start! We plan to update predictions and build a community of users and developers (compatible with the Open Soil Spectral Library @soilspec and similar initiatives) around this initiative. If you spot an issue or artifacts please report using Github link. If you are curator of the soil laboratory data and soil observations, please share your data with us, so we can make even more accurate #worldsoildata for everyone.

PS: If you are at #LPS25 please find us for a demo of the predictions and data use tutorial.

[soilspec @soilspec]

More deep learning applied to the LUCAS spectral database... GhostNet and soil pH

https://t.co/nSvxUZuny9

[Jonathan Sanderman @sandersoil]

From the editorial board at @JBiogeochem "As global citizen scientists, we must therefore continue to advocate for the value of science" https://t.co/t3uLg2WYOv

[soilspec @soilspec]

Pedological features affecting carbon accumulation in submerged-soils using VNIR spectroscopy...

https://t.co/ChKJhRmUOT

[soilspec @soilspec]

Fantastic free resource from the @FAO Global Soil Partnership led by Alexandre Wadoux et al. - A course on applied data analytics for soil analysis with infrared spectroscopy
https://t.co/LNhHMhIRFR