Planning Studies for Compost Application to California Rangelands Using Landsat Satellite Imagery, Carbon Modeling, and Machine Learning — Oak Academic Publishing
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Planning Studies for Compost Application to California Rangelands Using Landsat Satellite Imagery, Carbon Modeling, and Machine Learning
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 2 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.
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