Podcast
Questions and Answers
What does spatial resolution indicate regarding an imaging instrument?
What does spatial resolution indicate regarding an imaging instrument?
- The brightness levels captured by the sensor
- The type of sensors used in imaging
- The number of bands in the spectrum
- The ability to differentiate between features (correct)
Which of the following factors does NOT affect spatial resolution?
Which of the following factors does NOT affect spatial resolution?
- Focal length
- Detector size
- Pixel density (correct)
- Sensor altitude
In radiometric resolution, what does an 8-bit image represent in terms of brightness levels?
In radiometric resolution, what does an 8-bit image represent in terms of brightness levels?
- 0 to 1024
- 0 to 128
- 0 to 511
- 0 to 255 (correct)
Which of the following statements is true about spectral resolution?
Which of the following statements is true about spectral resolution?
How many bands are available in the Landsat 8 & 9 (OLI & TIRS) satellites?
How many bands are available in the Landsat 8 & 9 (OLI & TIRS) satellites?
Which band of the Landsat 7 ETM+ satellite is associated with the wavelength range from 1.550 to 1.750 μm?
Which band of the Landsat 7 ETM+ satellite is associated with the wavelength range from 1.550 to 1.750 μm?
What is represented by the Ground Sample Distance (GSD) in imaging?
What is represented by the Ground Sample Distance (GSD) in imaging?
What is the typical effect of increasing radiometric resolution?
What is the typical effect of increasing radiometric resolution?
Flashcards
Spatial Resolution
Spatial Resolution
The ability of an instrument to distinguish features in an image. It's determined by detector size, focal length, and sensor altitude.
GSD (Ground Sample Distance)
GSD (Ground Sample Distance)
A measure of spatial resolution; the width of land area covered by a single pixel.
Spectral Resolution
Spectral Resolution
The width of the wavelengths a sensor can detect.
Radiometric Resolution
Radiometric Resolution
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Multispectral Image
Multispectral Image
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Landsat 7 ETM+
Landsat 7 ETM+
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Landsat 8-9 OLI
Landsat 8-9 OLI
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Image Resolution
Image Resolution
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Study Notes
Spectrum Reflectance Curve/Signature
- Reflectance curves/signatures show how different materials reflect light across various wavelengths
- The graphs display reflectance percentages versus wavelengths in micrometers (µm)
- Different materials (vegetation, water, soil) have unique reflectance patterns
- These patterns are used to identify and classify materials in remote sensing imagery
Image Resolution
- Image quality and application depend on resolution
- Three main types of resolution:
- Spatial Resolution: The ability to distinguish objects in an image. Measured by Ground Sample Distance (GSD), or Field of View (FOV) - the area a detector "sees."
- Spectral Resolution: The range of wavelengths a sensor can detect. Shown by specific bands (e.g., blue, green, red, infrared) of light the sensor can collect.
- Radiometric Resolution: The sensor's sensitivity to detect subtle variations in brightness - often measured in bits (e.g., 8-bit images have 256 possible brightness levels)
Multispectral Imagery
- Multispectral images are captured across multiple spectral bands.
- The number of bands varies depending on the satellite sensor (e.g., Landsat 7 ETM+ has 8 bands, Landsat 8 OLI has 11)
- Each Landsat sensor has different bands, and wavelengths for each band.
- Examples include:
- Visible to near-infrared (NIR)
- Shortwave infrared (SWIR)
- Thermal infrared (TIR)
Landsat Satellites (ETM+ & OLI)
- Landsat satellites, such as ETM+, capture data in different bands.
- Wavelengths & resolutions are provided in a table format.
Image Processing
- Remote sensing images are processed to extract meaningful information.
- This involves steps to calibrate the raw digital numbers (DN) to radiance values to reflectance values.
- DN values are converted into physical values (e.g., radiance or reflectance) which gives an accurate image of the target
- This processing removes atmospheric distortions, sensor limitations, and other errors
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Description
This quiz explores the concepts of spectrum reflectance curves and image resolution in remote sensing. It covers how different materials reflect light and the importance of various types of resolution such as spatial, spectral, and radiometric. Test your knowledge on these fundamental aspects of remote sensing technology.
