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Get Aster Mineral Index Processing Manual - Geoscience Australia
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The ASTER Mineral Index Processing Manual provides essential guidance for users to effectively process and analyze ASTER satellite imagery. This comprehensive guide outlines step-by-step instructions for completing the manual, ensuring clarity and accessibility for all users.
Follow the steps to fill out the ASTER Mineral Index Processing Manual effectively.
- Click ‘Get Form’ button to access the ASTER Mineral Index Processing Manual and open it in your preferred editor.
- Begin with the introduction to understand the purpose and potential of ASTER imagery. Familiarize yourself with key concepts and relevant definitions.
- Review the processing steps section, which outlines essential operations for handling ASTER level 1B scenes. Follow the sequence provided to ensure a structured approach.
- Carefully obtain ASTER scenes by identifying your area of interest, then accessing the Earth Observation Catalogue as described.
- Perform crosstalk correction using the specified tools to ensure high-quality output from your images.
- Import your images into ER Mapper, following the guidance on processing VNIR, SWIR, and TIR datasets using either manual methods or the HDF Import Wizard.
- Execute image rotation to correct satellite orientation, ensuring accurate geospatial representation.
- Conduct radiance calibration to rescale digital values to atmospheric radiance values, applying the appropriate unit conversion factors.
- Implement dark pixel correction to mitigate atmospheric effects on image radiance.
- Register your ASTER image to a Landsat pan image for accurate geolocation and alignment with ground features.
- Utilize common band ratios and indices detailed in the manual to facilitate mineral identification.
- Once your processing is completed, don't forget to save your changes, download the final results, or print the processed images for reporting.
Get started now and complete your documentation online with the ASTER Mineral Index Processing Manual.
The higher spectral resolution of ASTER (compared to Landsat, for example―Figure 1) especially in the shortwave infrared region of the electromagnetic spectrum makes it possible to identify minerals and mineral groups such as clays, carbonates, silica, iron-oxides and other silicates.
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