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Rapid in-season mapping of corn and soybeans using machine-learned trusted pixels from Cropland Data Layer

Created2025-04-26|Updated2025-04-26
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Author: ALTNT
Link: http://blog.705553939.xyz/2025/04/26/crop_classification/Crop%20classification/2021_IF_7.6_JAG/
Copyright Notice: All articles in this blog are licensed under CC BY-NC-SA 4.0 unless stating additionally.
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Contents
  1. 1. Rapid in-season mapping of corn and soybeans using machine-learned trusted pixels from Cropland Data Layer
    1. 1.1. 摘要
    2. 1.2. 引言
    3. 1.3. 2. 研究区域与数据
    4. 1.4. 3. 研究方法
      1. 1.4.1. 3.1 总体流程
      2. 1.4.2. 3.2 数据准备
      3. 1.4.3. 3.3 可信像素预测
      4. 1.4.4. 3.4 作物类型分类
      5. 1.4.5. 3.5 验证
    5. 1.5. 4. 实验与结果
      1. 1.5.1. 4.1 可信像素的验证
      2. 1.5.2. 4.2 使用CDL对季内作物覆盖图的验证
      3. 1.5.3. 4.3 使用实地数据对季内作物覆盖图的验证
      4. 1.5.4. 5. 讨论
        1. 1.5.4.1. 5.1 使用可信像素进行作物制图的优势
        2. 1.5.4.2. 5.2 作物制图中的模式识别
        3. 1.5.4.3. 5.3 农田数据层的不确定性
        4. 1.5.4.4. 5.4 局限性和潜在解决方案
      5. 1.5.5. 6. 结论
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