2024年4月29日发(作者：辛天曼)
landsat影像预处理流程
Landsat Image Preprocessing Workflow.
Landsat data is a valuable resource for a wide range of
applications, including land cover mapping, change
detection, and environmental monitoring. However, the raw
Landsat data is often not suitable for use directly. It is
necessary to preprocess the data to correct for geometric
and radiometric distortions.
The general workflow for Landsat image preprocessing is
as follows:
1. Radiometric calibration: This process corrects for
the sensor's response to different wavelengths of light.
The result is a digital number (DN) image that is
proportional to the reflectance of the ground surface.
2. Atmospheric correction: This process corrects for
the effects of the atmosphere on the DN image. The result
is a reflectance image that is corrected for the effects of
atmospheric scattering and absorption.
3. Geometric correction: This process corrects for the
geometric distortions in the DN image. The result is a
geometrically corrected image that is aligned with a map
projection.
4. Mosaicking: This process combines multiple Landsat
images into a single, seamless mosaic. The result is a
mosaic image that covers a larger area than any of the
individual images.
5. Subsetting: This process extracts a portion of a
Landsat image, such as an area of interest for a specific
study. The result is a subset image that contains only the
data of interest.
中文回答：
Landsat影像预处理流程。
Landsat数据是一项宝贵的资源，可用于广泛的应用，包括土
地覆盖制图、变化检测和环境监测。然而，原始的Landsat数据通
常不适合直接使用。有必要对数据进行预处理以校正几何和辐射畸
变。
Landsat影像预处理的一般工作流程如下：
1. 辐射定标: 该过程会校正传感器对不同波长的光线的响应。
结果是一个数字值 (DN) 图像，该图像与地面表面的反射率成正比。
2. 大气校正: 该过程会校正大气对DN图像的影响。结果是一
个反射率图像，该图像已校正了大气散射和吸收的影响。
3. 几何校正: 该过程会校正DN图像中的几何畸变。结果是一
个经过几何校正的图像，该图像与地图投影对齐。
4. 镶嵌: 该过程会将多个Landsat图像组合成一个无缝的镶嵌
图像。结果是一个镶嵌图像，其覆盖的区域比任何单个图像都大。
5. 子集: 该过程会提取Landsat图像的一部分，例如特定研究
的感兴趣区域。结果是一个子集图像，该图像仅包含感兴趣的数据。
2024年4月29日发(作者：辛天曼)
landsat影像预处理流程
Landsat Image Preprocessing Workflow.
Landsat data is a valuable resource for a wide range of
applications, including land cover mapping, change
detection, and environmental monitoring. However, the raw
Landsat data is often not suitable for use directly. It is
necessary to preprocess the data to correct for geometric
and radiometric distortions.
The general workflow for Landsat image preprocessing is
as follows:
1. Radiometric calibration: This process corrects for
the sensor's response to different wavelengths of light.
The result is a digital number (DN) image that is
proportional to the reflectance of the ground surface.
2. Atmospheric correction: This process corrects for
the effects of the atmosphere on the DN image. The result
is a reflectance image that is corrected for the effects of
atmospheric scattering and absorption.
3. Geometric correction: This process corrects for the
geometric distortions in the DN image. The result is a
geometrically corrected image that is aligned with a map
projection.
4. Mosaicking: This process combines multiple Landsat
images into a single, seamless mosaic. The result is a
mosaic image that covers a larger area than any of the
individual images.
5. Subsetting: This process extracts a portion of a
Landsat image, such as an area of interest for a specific
study. The result is a subset image that contains only the
data of interest.
中文回答：
Landsat影像预处理流程。
Landsat数据是一项宝贵的资源，可用于广泛的应用，包括土
地覆盖制图、变化检测和环境监测。然而，原始的Landsat数据通
常不适合直接使用。有必要对数据进行预处理以校正几何和辐射畸
变。
Landsat影像预处理的一般工作流程如下：
1. 辐射定标: 该过程会校正传感器对不同波长的光线的响应。
结果是一个数字值 (DN) 图像，该图像与地面表面的反射率成正比。
2. 大气校正: 该过程会校正大气对DN图像的影响。结果是一
个反射率图像，该图像已校正了大气散射和吸收的影响。
3. 几何校正: 该过程会校正DN图像中的几何畸变。结果是一
个经过几何校正的图像，该图像与地图投影对齐。
4. 镶嵌: 该过程会将多个Landsat图像组合成一个无缝的镶嵌
图像。结果是一个镶嵌图像，其覆盖的区域比任何单个图像都大。
5. 子集: 该过程会提取Landsat图像的一部分，例如特定研究
的感兴趣区域。结果是一个子集图像，该图像仅包含感兴趣的数据。