%0 Journal Article
%T Planning Studies for Compost Application to California Rangelands Using Landsat Satellite Imagery, Carbon Modeling, and Machine Learning
%A Christopher Potter
%A John Wick
%J Natural Resources
%P 25-43
%@ 2158-7086
%D 2025
%I Scientific Research Publishing
%R 10.4236/nr.2025.162002
%X Previous field measurements in rangelands throughout California have shown that spreading a relatively thin layer of compost on the soil surface of grasslands can enhance water-holding capacity and provide stabilized, slow-release nutrients to support long-term belowground carbon capture and storage. Compost-treated grasslands have been shown to consistently absorb more CO<sub>2</sub> from the atmosphere into the plant and soil cover, more than that was being lost to microbial respiration for many years after a single organic matter application. The purpose of this new study was to optimize the long-term increase and restoration of soil carbon pools across the state of California, based on a combination of state-wide satellite image analysis, soil carbon modeling, and Machine Learning.
%K California
%K Rangeland
%K Compost
%K Satellite Imagery
%K Soil Carbon Modeling
%K Machine Learning
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=141116