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遥感知识点

Created2025-02-17|Updated2025-06-02
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Author: ALTNT
Link: http://blog.705553939.xyz/2025/02/17/crop_classification/%E9%81%A5%E6%84%9F%E7%9F%A5%E8%AF%86%E7%82%B9/
Copyright Notice: All articles in this blog are licensed under CC BY-NC-SA 4.0 unless stating additionally.
crop classification
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Contents
  1. 1. 大气顶层反射率:
    1. 1.1. 原理与影响因素
    2. 1.2. 计算方法
    3. 1.3. 应用领域
  2. 2. 太阳辐照度
  3. 3. 太阳天顶角
  4. 4. 大气矫正
    1. 4.1. 辐射传输模型校正
    2. 4.2. 大气散射校正
    3. 4.3. 大气吸收校正
    4. 4.4. 地形和太阳角度校正
    5. 4.5. 校正效果评估与验证
  5. 5. 太阳高度角
  6. 6. 太阳方位角
  7. 7. MODIS/061/MOD09GA
  8. 8. ECMWF/ERA5/DAILY
  9. 9. 其他 ERA5 产品
  10. 10. 高分六号卫星
    1. 10.1. 高分六号卫星搭载的三种主要传感器的区别
      1. 10.1.1. 1. 2米全色/8米多光谱高分辨率相机
      2. 10.1.2. 2. 16米多光谱中分辨率宽幅相机
      3. 10.1.3. 3. 8谱段CMOS探测器
      4. 10.1.4. 三者对比总结
      5. 10.1.5. 协同工作价值
  • 合成孔径雷达
    1. 1. 像元分类和对象分类
    2. 2. 雷达卫星的极化
      1. 2.1. 1. 极化基础
      2. 2.2. 2. 极化对遥感的意义
      3. 2.3. 3. 极化模式分类
      4. 2.4. 4. 典型应用场景
      5. 2.5. 5. 技术发展趋势
    3. 3. 数字高程模型(Digital Elevation Model,缩写DEM)
    4. 4. 早期时间序列分类
      1. 4.1. COPERNICUS/S2_SR_HARMONIZED
      2. 4.2. QA60
    5. 5. 云概率
      1. 5.1. SCL 波段
      2. 5.2. SCL波段中云阴影(3)与云分类(8-10)的生成机制
    6. 6. SCL(Scene Classification Layer)波段的云阴影和云分类生成基于Sen2Cor处理器的多步骤算法,结合光谱分析、几何模型和机器学习技术。以下是具体生成逻辑:
      1. 6.0.1. 一、云阴影(分类值3)生成流程
      2. 6.0.2. 二、云分类(8-10)生成流程
      3. 6.0.3. 三、技术流程图解
      4. 6.0.4. 四、典型误差与改进方案
  • 7. NDVI、NDCI、EVI、NDMI、GNDVI 的功能解析
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