tomhengl.bsky.social
Director at OpenGeoHub / and technical director at EnvirometriX. I am a data scientist passionately promoting open data & FOSS4G, automated soil mapping, Machine Learning for environmental data, global data sets, R spatial and spatio-temporal modeling...
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Use Early Access application and request data via: survey.alchemer.com/s3/7859804/P... (you will be asked to fill-in a short form). Reference sample data used for model training is also available: doi.org/10.5281/zeno...
If you notice an issue or artifact please report!
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To enable anyone to produce better land managment plans, @ai4soilhealth.bsky.social project is producing SOC density data at high spatial resolution in 3D+T for the whole pan-EU (doi.org/10.21203/rs....). To know more, join us at #SoilHealthNow 2025.ai4soilhealth.eu conference in Wageningen. [5/5]
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In the time of accelerating climate change and land degradation, increasing SOC of the planet is one of the fundamental tasks of our society. It is as important for global ecosystem health as is physical exercises for human health. Also note that increasing SOC has almost no side-effects! [4/5]
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SOC density is derived by measuring SOC content and Bulk density (separately) and then by a simple formula:
SOC [kg/m3] = SOC [dg/kg]/100 * BD [kg/m3] * (1-CF)
where CF is the coarse fragments fraction (0-1). SOC density for a standard agricultural soil is about 12 kg/m3 at 10 cm depth. [3/5]
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In summary, there are four main variables used to represent SOC:
1. SOC fraction or content (ORC) in g/kg (permille) or dg/kg (%),
2. SOC Density (OCD) in kg/m3
3. SOC Stock (OCS) in kg/m2 or in t/ha and for the given soil depth interval,
4. Total SOC Stock (TOCS) in million t or Pg,
[2/5]
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In USA we are working closely with @woodwellclimate.bsky.social specifically we worked on making the Open Soil Spectral Library (journals.plos.org/plosone/arti...). We also collaborate with GLAD group (glad.umd.edu) on global data. Check also SOLUS (acsess.onlinelibrary.wiley.com/doi/full/10....).
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This is a very good point and it is rooted in political elites pushing for even more growth, educating our children that only happiness is the SIZE of your net salary. I live in NL & I know enough finances to prove that UBI would result in a happier healthier life + we would be more productive!
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The papers and data we mentioned in the podcast (producing open data for the EU) are at: essd.copernicus.org/articles/17/... and doi.org/10.21203/rs....
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The correct dataset DOI is: doi.org/10.5281/zeno...
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Similar open data sets describing forest losses are the European Commission JRC's Tropical Moist Forests product (#TMFv2023; forobs.jrc.ec.europa.eu/TMF/data), GlobalForestWatch by @worldresources.bsky.social (doi.org/10.1038/s415...) and the MapBiomas data set (doi.org/10.3390/rs12...).
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#GLC_FCS30 data set (annual land cover at 30-m resolution 1985 to 2022 based on #Landsat archive) is describeb in doi.org/10.5194/essd.... You can access it from openlandmap.org as #OpenData