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Data for: The role of topography, soil, and remotely sensed vegetation condition towards predicting crop yield

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doi.org2025-01-09 收录
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http://doi.org/10.17632/5dgjpmjk85.1
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Excel file contains the 3 supplemental tables in the manuscript. Table S1 contains individual tabs for each of the eight study sites (S1 to S8). Tables S2-S3 are individual tabs. Supplementary Table S1. 10 m resolution QA/QC data for each study site including: location, elevation, hydrogeophyscial surveys of EMI and neutron intensity, Landsat GCVI by year, crop yield by year, and First EOF of each covariate. Supplementary Table S2. Summary of MLR and RF fitting coefficients and statistical metrics by site and crop type. Supplementary Table S3. Summary of MLR and RF fitting coefficients and statistical metrics by site, crop type, and year. Supplementary R Code and results for sites S1 to S8 by crop.

Excel文件中包含稿件中的三张补充表格。表S1包含八个研究地点(S1至S8)各自独立的标签页。表S2和S3为独立的标签页。补充表S1:包含每个研究地点10米分辨率的QA/QC数据,包括:地理位置、海拔、电磁法和中子强度的水文地球物理调查、按年份划分的Landsat GCVI、按年份划分的作物产量以及每个协变量的第一次EOF。补充表S2:按地点和作物类型汇总的多重线性回归(MLR)和随机森林(RF)拟合系数及统计指标。补充表S3:按地点、作物类型和年份汇总的多重线性回归(MLR)和随机森林(RF)拟合系数及统计指标。按作物汇总的研究地点S1至S8的补充R代码和结果。
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