What is it about?
This paper describes a method to first of all Rayleigh-correct satellite imagery, create a reflectance product, generate true color images and then to manipulate these to produce a clean, bright and colorful image. While this uses the example of a geostationary satellite, this is broadly applicable to any sensor with the prerequisite red green and blue spectral bands.
Featured Image
Photo by NASA on Unsplash
Why is it important?
There is nothing particularly new in this paper but Himawari-8 is the first of a new breed of geostationary satellites so the application is new. The Rayleigh corrected reflectance products and true color imagery would not normally be used for scientific applications but the true color imagery does provide a valuabl;e tool to forecasters. Animated and colorful imagery provides an extra prospective to forecasters and the inclusion of color makes separating cloud, smoke, dust etc easier and more intuitive.
Perspectives
I always wanted to write a simple paper that showed how to apply radiative transfer to produce true color imagery. This type of approach provides a good introduction to the far more complicated process of atmospheric correction.
Mark Broomhall
Read the Original
This page is a summary of: Correcting Himawari-8 Advanced Himawari Imager Data for the Production of Vivid True-Color Imagery, Journal of Atmospheric and Oceanic Technology, March 2019, American Meteorological Society,
DOI: 10.1175/jtech-d-18-0060.1.
You can read the full text:
Contributors
The following have contributed to this page
