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REMOTE SENSING AND PROBABILISTIC SAMPLING BASED METHOD FOR DETERMINING THE CARBON DIOXIDE VOLUME OF A FOREST
REMOTE SENSING AND PROBABILISTIC SAMPLING BASED METHOD FOR DETERMINING THE CARBON DIOXIDE VOLUME OF A FOREST
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机译:基于遥感和概率抽样的森林二氧化碳排放量测定方法
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摘要
A remote sensing and probabilistic sampling based method for determining carbon dioxide volume of a forest can correlate aerial data, such as LiDAR, CIR, and/or Hyperspectral data with actual sampled and measured ground data to facilitate obtainment, e.g., prediction, of an accurate forest inventory, and corresponding carbon dioxide volume thereof.
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