Comparison of Cropland Maps Derived from Land Cover Maps in Sub-Saharan Africa

This data repository provides the datasets associated with analysis conducted in Kerner et al. (2023), citation below. The CSV file `intercomparison-results.csv` gives a table metrics for each of 11 land cover maps (plus a majority vote ensemble of all maps) evaluated using the reference dataset for each of 8 countries (Kenya, Rwanda, Uganda, Tanzania, Mali, Malawi, Togo, and Zambia). The reference datasets are provided as zip files. To ensure these datasets can be used for independent evaluation and comparison between maps in the future, the reference datasets should ONLY be used for final, independent evaluation of data products/model outputs; they should NOT be used for training models, tuning hyperparameters, or any other decisions during model/map development. The provided tif files contain the consensus maps (sum of all 11 maps) used to compute consensus statistics in Kerner et al. (2023). Kerner, H., Nakalembe, C., Yang, A., Zvonkov, I., McWeeny, R., Tseng, G., and Becker-Reshef, I. (2023). How accurate are existing land cover maps for agriculture in Sub-Saharan Africa? <em>Under review</em>.本数据集仓库提供了与Kerner等人2023年研究中开展的分析相关的数据集，引用信息如下。CSV格式文件`intercomparison-results.csv`包含一张评估指标表格，该表格基于肯尼亚、卢旺达、乌干达、坦桑尼亚、马里、马拉维、多哥及赞比亚这8个国家各自的参考数据集，对11幅土地覆盖图（外加所有图的多数投票集成结果）进行评估后生成。参考数据集以ZIP压缩包形式提供。为保障本数据集可用于未来的独立评估与不同土地覆盖图间的对比工作，参考数据集仅可用于数据产品或模型输出的最终独立评估，不得用于模型训练、超参数调优，或模型/土地覆盖图开发过程中的其他决策环节。本次提供的TIF格式文件包含共识地图（11幅地图的求和结果），用于计算Kerner等人2023年研究中的共识统计量。Kerner, H., Nakalembe, C., Yang, A., Zvonkov, I., McWeeny, R., Tseng, G., 及 Becker-Reshef, I. (2023). 《撒哈拉以南非洲现有农业土地覆盖图精度几何？》（审稿中）