2018-03-30 12:14:46

Thank you for this lesson. The lesson very interesting and useful. Lesson increased my understanding and use of the RGB products.

Kaneelpantoffel 2018-02-27 05:53:26

huiguyi

ahmedghawas 2018-01-31 14:20:42

this lesson useful the media was so great I recommend the lesson for other

Renegade 2017-11-17 13:30:02

This lesson is a great primer on RGB images. It covers interpretation, (some) science, and information on how colors are assigned. It also covers strengths and weaknesses of RGBs and in some cases how to mitigate them. Very useful.

2017-11-17 02:46:31

Good

ScientificDuo 2017-10-23 13:20:06

Nice tutorial in explaining how the different wavelengths reflect based on certain conditions. Still lots to learn or find a nice handy 1 page reference sheet.

hmoradi 2017-10-11 02:58:33

thank you for lesson

elsy-ngalaha 2017-09-05 19:47:00

Good

2017-08-09 22:27:01

great test

frankstrait 2016-12-29 16:25:20

It was a very long lesson if you stopped at times to take notes. Could it be split up into longer ones? I wish the quizzes would tell you the ones you missed where there is more than one correct answer, so that you could go back and check your notes and see why you got it wrong.

mariletty 2016-12-21 12:26:28

Course Good!

hayekaaa 2016-12-03 09:11:05

Good lesson

angus 2016-11-05 11:23:40

Very well prepared lesson. Plenty of examples and fine explanation. I recommend it.

isa najera 2016-09-30 20:46:25

I consider this course is very important since it I acquired certain knowledge that will be useful to me in school and as part of everyday life.

Buhle Z. Simelane 2016-05-07 04:40:42

Very helpful and useful module. I wish we could have more of such tools to enhance our forecasting skills. Thank you

jobair 2015-09-06 10:20:32

Excellent tool for understanding satellite image processing

Shaima 2014-03-27 10:38:32

The updated module is greatly improved since my last review on 2013-04-11. The module is now consistent and enough information is provided for students to attempt to reproduce the color combinations on their own.

matthew.seybold 2014-02-05 14:03:24

Excellent, from beginning to end.

gypsydoodler 2013-09-13 11:20:44

Actually, this is my favorite module section of all (still need to finish #4)!

Svatava 2013-09-12 05:08:38

This module is really helpful, most of all I appreciate the fact, that the explanation of satellite measurement is simple and understandable.

Shaima 2013-04-11 15:19:52

The material present in the RGB products module can't easily be found in any other single place. For that reason, I find it a useful resource. But, there is a distinct lack of consistency in how the different RGB products are described which makes it difficult to use the information in the module to reproduce to test RGB schemes on one's own. In one RGB product, the channels may be described as being mapped to Red, then Green, then Blue. In another product, it may be the other way around. In another product, four channels may be listed, but the linear combinations involved not described. With some editing and revision, I think this could be a much better module.

nispo 2013-01-31 23:28:48

Very intersting module that leaves you wanting to look at RGB products, and learn more about them. The last section in this module does a good job of breaking down the main applications of RGBs and providing adequate examples. This paints a good picture of how RGBs are important and unique. Presentation here is simple but effective.

• Define what an RGB product is and how it differs from other types of satellite products and imagery
• List the benefits of using RGB products
• Describe the process of constructing an RGB product
• Describe key applications for which RGB products are used
• Explain how the future of RGB products will change as next generation satellites are launched

rgb, red green blue, color compositing, color composite, primary colors, Suomi NPP, Suomi-NPP, JPSS, VIIRS, Day Night Band, day-night channel, DMSP OLS, OLS, AVHRR, Metop, MODIS, Meteosat, MSG SEVIRI, SEVIRI, MTG, FCI, GOES-R, ABI, GOES-R ABH, FY-3, FY-4, MERSI, AGRI, Himawari, AHI, NexSat, GeoColor, true color, natural color, false color, nighttime visible, airmass, air mass, snow cover, convection, dust, volcanic ash, day microphysics, cloud over snow, fog, fog and stratus, low clouds, stratus

2016-05-02: HTML and media assets in this lesson have been updated for current browsers and mobile devices. 2013-07-22: This lesson is an update to the original 2010 version and includes new information on RGB capabilities for the Suomi-NPP and upcoming JPSS VIIRS imager, and the upcoming GOES-R ABI imager. Also included is mention of RGB capabilities on board current and upcoming next-generation geostationary and polar-orbiting satellites operated by other international satellite operators, and how these map into the RGB products discussed in the applications section.