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Thanks to these different developments, μFTIR is becoming a standard technique for the 2D characterization of molecular groups in paint samples, and in particular for the mapping of organic materials.
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The map of organic farms in the United States is clustered into a few geographic centers, a strikingly different pattern than the map of all farms, which spreads densely over many regions, breaking only for the Rockies and Western deserts.
Here, we present the first results using 5 mm sized soil aggregate samples with contrasting C-contents in which we obtained maps of organic matter distributions in relation to the pore networks at the aggregate scale.
It was successfully used for mapping of both organic and inorganic compounds in a painting by A. Burri.
Their results showed that the two methods can be used as strong and effective modeling approaches in the mapping of soil organic matter concentration.
Reliable mapping of soil organic carbon (SOC) and Soil Inorganic Carbon (SIC) densities and estimates of their pool size are important from global warming perspective to understand the sequestration potential and losses.
Estimation and mapping of soil organic carbon storage in three dimensions for large areas is increasingly in demand for climate change reporting, but such estimates at large spatial scales and different soil depths are generally time consuming and expensive.
Each spatial modelling method produced similar, but unique, maps of soil organic carbon content (SOC%).
This work presents the first high-resolution map of soil organic carbon (SOC) in mainland France, including soils below 30 cm.
Different passive air sampler (PAS) strategies have been developed for sampling in remote areas and for cost-effective simultaneous spatial mapping of POPs (persistent organic pollutants) over differing geographical scales.
From the maps, zones with different levels of organic matter, microbial biomass and specific respiratory activity were identified.
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