5. Absorption
The chapter elaborates on various atmospheric phenomena that influence remote sensing, particularly focusing on scattering, absorption, transmission, atmospheric windows, and spectral signatures. It details the types of orbits for remote sensing platforms, types of platforms used for data collection, and the different types of resolutions that affect image quality. Furthermore, the role of various sensors in remote sensing is explained, highlighting passive and active systems, with their respective advantages for different applications.
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4Transmission
Transmission refers to the process by which electric and electromagnetic...
What we have learnt
- Mie scattering and non-selective scattering significantly affect remote sensing data quality.
- Spectral signatures of objects are crucial for distinguishing different materials in remote sensing imagery.
- Different types of orbits and platforms are necessary for effectively collecting remote sensing data.
Key Concepts
- -- Mie Scattering
- Scattering caused by particles similar in size to the wavelength of light, affecting image quality due to atmospheric haze.
- -- Nonselective Scattering
- Occurs when large particles scatter all wavelengths equally, making clouds appear white and reducing image contrast.
- -- Absorption
- The process where radiation is taken in by a medium, converting some energy into heat, affecting the apparent spectral signature of objects.
- -- Atmospheric Windows
- Regions in the atmosphere where transmission of electromagnetic radiation is maximized, allowing effective remote sensing.
- -- Spatial Resolution
- The smallest size of an object that can be reliably identified in an image, impacted by the pixel size.
- -- Spectral Resolution
- The ability of a sensor to distinguish between different wavelengths, affecting the identification of features.
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