“thanks but no thanks.”
You should have started your first reply with that.
Seriously? “insult people doesn’t really help, does it.”
How did I insult people? What people have I insulted? How did I insult you?
I based “Bottom line, you see multispectral imaging and camera as questionable, limited to satellite systems, and you do not understand multispectral imaging and camera.” and similar statements <e.g. “you do not understand multispectral imaging and camera”> based on your replies and questions. If you know about and have worked with multispectral imaging and camera, why would you ask the following questions or post the following statements:
- “how do I turn my soon-to-be cheap cloud camera into a multispectral one?”
- “Indeed I don’t have a multi spectral camera.”
- “useless for weather purposes,”
- “useless for weather purposes, as here the spectral feature is created by the led illumination, not by the camera.”
- “keep in mind what you want to achieve with a multi-spectral camera for a ground based weather station? Note that this is different from satellites.”
- “ground based station basically only sees blue sky or clouds.”
- “spectral part comes from illuminating the object with LEDs with different wavelenghts.”
- “frequency (band) is good for what comes from a satellite system. It doesn’t apply to ground based systems.”
“With respect to point #1. Those ARE useful for satellite imaging systems, but are not so useful for ground based systems. Your comment “Not limited to a satellite system” doesn’t answer any question I had. Tell us what info you would get from a ground based system using spectral imaging, that you wouldn’t get by using RGB (and possibly infra red).”
I posted “Not limited to a satellite system” because you posted several false statements about multispectral imaging and camera <e.g. see 1. to 8. examples above.>
“point #2. I do understand spectral imaging perfectly well. You are the one that posted a reference to hypercam. That one is not a true multi spectral camera. It uses a trick with LED. And yes I’m ignoring the rest (allthough I looked at the article), you first need to make sense of why and how!”
I do not how many times I have to explain and state HyperCam is an example of how to make a multispectral camera as an add on for smartphones based on 2015 supply chains with the actual sensor being done by company like Gigajot Technology.
“point #3, I repeat, I perfectly do understand what is needed for a real spectral imager, how to process the data and how it can be useful. You just can’t tell me what specifically is useful for ground based spectral imaging (besides rgb and infra red). But I’m just repeating myself as you don’t answer any question. Give me a reference to some article using ground based camera for cloud photography.”
If “”point #3” is true, how do you not understand my HyperCam + Gigajot Technology reference. The people behind HyperCam were able to scale their product as camera add on for smartphones based on 2015 supply chains for about $50.00. Minus the competent your fixated on and would be cheaper today. The supply chains required for HyperCam is similar to what would be needed to make an affordable multispectral cameras as part of Weather Flow Weather Station.
“point #4 you are the one that brought up the example of satellites having problems with snow detection. It doesn’t help in any obvious way to supply nasa with a ground based spectral image of the clouds (they might be happy with a rgb picture of clouds, so the know there are clouds).”
You asked for examples.
Seriously? “It doesn’t help in any obvious way to supply nasa with a ground based spectral image of the clouds (they might be happy with a rgb picture of clouds, so the know there are clouds).”
“point #5. “One solution to this problem is to look at satellite images from a particular area and compare them to data submitted by citizen scientists on the ground. Looking at what an observer <person(s) and/ or personal weather station(s)> recorded as clouds and looking at their surface observations really helps us better understand the images that were matched from the satellite” That’s true, but normal rgb images from the ground would answer that question, no multi spectral ground based imaging is needed.”
You left out the sentence “Such observations would be enhanced if the data is able to fully validate Clouds and the Earth’s Radiant Energy System (CERES) instruments and observation from ground based observations.”
Again, if you understand multispectral imaging and camera, in order to “fully validate Clouds and the Earth’s Radiant Energy System (CERES) instruments and observation from ground based observations.” requires close to similar datasets which can not be achieved with just visible cameras.