Search the Community

Castle Nymphenburg (https://en.wikipedia.org/wiki/Nymphenburg_Palace) is located in Munich in Bavaria. It is really huge, and most of all, it sports an extended park with all sorts of vistas, lakes, buildings, statues, etc. Here are a few impressions with the usual gear (Canon EOS 6D, b/w UV, with 21mm Soligor, and EOS 6D 700nm, with Canon EF 17-40mm) [Edit] Added numbers and a short decription to the photos[/Edit] Front view of the castle: #1, #2: taken from a brigde spanning the waterway #3, #4: closer to the castle, there are two basins which used to connected via a cascade (similar to the Grand Cascade, but smaller), and gondolas were abundant. View from the castle towards the park: #5-#7, taken from the top of the staircase, which leads up to the first floor. #8, next to the gravel path, leading up to the main fountain. Backside of the main building: #9,#10, taken from about the same spot, in the middle of the gravel path, looking towards the building #11,#12, taken from the side, here you can see the staircase I was referring to earlier Some views of the park, many with water. #13, canal leading out of the park #14, main canal behind the castle, looking back towards the castle, with a duck #15, from the same spot as #14, but turning around looking towards the Grand Cascade, with some swans #16, same spot as #14 #17, the basin, just downstream of the Grand Cascade #18 the Grand Cascade #19, taken from behind the Grand Cascade, one cannot see the water falling, but the tractor is roughly in the spot where #17 was taken #20, #21, Monopteros #21, former Orangerie #22, Magdalenenklause, fake ruin

Got a few nights off work so looked on flightradar24 to see if there was any departures or arrivals at the local airport(KPUW). So after an hour delay, I caught a departure. These didn't take off here a few years back before the airport remodel, so it was pretty cool seeing this even if it was still dark. I used a Helion XP50 with stream vision to my phone, then screen captured video.

Went out this weekend to the arboretum, wanted to get some pics of the Sunflowers before they're gone. Also the wildfire smoke has gone and pleasant to be outdoors again. Gear I used for NIR was the Canon EOS M, Canon EF 50mm f/1.8 STM Lens with an astro 850nm planted inside the EOS adapter. For UV was Canon T7(1500D), EL Nikkor 80mm Enlarger metal version with the Antilia U in camera body with the UVR Optics NIR Block on the lens with Hood tube. LWIR was with the Pulsar Helion XP 50 ISO800, 1/6th sec, F8 ISO100, 1/800th sec, F3.2 850+nm another shot but closer in to see the visitors ISO100, 1/400 sec F3.2 These last were with the Pulsar in different color modes, straight out of camera,640res jpgs. The lens is so fast, it's hard to get everything in focus. Time is off as I had the battery out, Pics were taken about 9:30am White Hot- Very hard to not over expose(failed) pretty hot center Rainbow Black hot Thanks for checking these out.

I was thinking about germanium being transparent in IR, and I remember some videos on this posted on this forum: https://www.ultravioletphotography.com/content/index.php?/topic/4782-hellow-from-poland-minsk-mazowiecki/&do=findComment&comment=48466 Or imagine how this big block of germanium would look like in IR: Looks like a metal, breaks like glass (actually gallium, a real metal, also breaks with a conchoidal fracture). I searched on YouTube and found this video: I find it interesting because he shows a variety of materials in visible and IR (I guess LWIR), including fused silica, calcium fluoride, sapphire, germanium and zinc selenide, as well as some metals (lead, tin, bismuth, zinc and silver, plus the non-metal carbon as graphite). As expected, some materials (windows in this case) are transparent only in visible light (for example, fused silica), some only in IR (germanium) and some in both (calcium fluoride). Another interesting thing he notes is how the surface of the metals (and graphite) appears more reflective in IR, as if it was more polished. I believe this is due to the longer wavelengths (20 times longer than visible light if he used a LWIR camera like I think he did), and thus the surface is smoother relative to the wavelength. This is also why the ground looks like a mirror in this 90 GHz microwave image: And a similar effect happens in the THz band: In that post I said that the rough side of tinfoil should look smoother in LWIR, and Andy replied that the low resolution of his camera wouldn't allow to see the difference. I actually think that the difference can be seen, perhaps under favourable conditions (or using other materials). UV does the opposite. I remember an image Mark once posted where you could see the scratches on a metal bowl better in UV, but his images are no longer here. This makes me think that, in theory, the same effect should be visible with ordinary visible light, with surfaces appearing slightly smoother under red light than under blue light. Probably the reason we don't see this everyday is that the difference is too small.

Trying out some Topaz software to process the super low res output on the Helion XP50. I think for the most part, it turned out alright. Focus is 9FT(3m) to infinity so close up is a bit more difficult. Some specs for the scope is on this site https://www.all4shooters.com/en/shooting/optics/pulsar-helion-thermal-imaging-scope/ Visually through the scope is crystal clear, but the onboard recording kind of sucks. White Hot Black Hot White hot Sunflower Couldn't see the Moon visually, it was so low and during the day, But the scope sees it all Throwing in a UV too took at the same time, Canon 77D, EL Nikkor 80, BaaderU/UVR Optics NIR Block The flowers on the bottom left in the background are the ones above.

I discovered that we had available a Seek Thermal Compact image accessory for Android phones at work and got to play with it over the holydays. This is the consumer model with the lower resolution, still with higher resolution than competing FlirOne Pro models, but without visible light overlay. Among targets I tried was a group of moose I encountered down the road where I live behind a snow berm - I kept a safe distance as conditions are difficult for them now and I did not want to stress them out. Can you detect how many moose there are in this image? #1 Stretching neck to feed #2 (The calibration of the device is way off when taken outside, it was about -10°C) At the start they were hiding behind a snow berm #3 Another test, my hand in a comfortable environment. #4 And after coming in from a short trip outside (I live in a dry cabin): #5 Heating tea water - note that the shiny metal in the body and lid does not radiate much at these wavelengths, only the transparent view port and plastic parts close to the body. #6 The tea is brewing. The hot part behind the tea pot is not warm, but a reflection of the tea pot in a shiny steel kettle. #7 The heater in my cabin is idling, but still warm and has warmed up things around it. #8 A food for thought is how far technology has developed. The very first thermal imaging camera I used when teaching physiology 30-35 years ago was bigger than many beefy telescopes , was permanently mounted on a really heavy tripod, had to be filled with liquid nitrogen before use, and sounded like a jet engine when operating, probably because of the large rapidly rotating mirror, and images were displayed on a separate oscilloscope like viewing device and captured with a Polaroid camera. (Images are of the actual device I used and were provided me by the Science museum at University of Oslo for identification).

My newest comment inspired me to look up high definition thermal infrared and I found this.

By rights, this topic doesn't really belong on UVP, which is why I'm sticking it in the chat room, but I have a feeling many people here will be interested in it, because it's about another kind of invisible imaging. I've been working for several years with a Ph.D. student in Florida who is building a large scale wind tunnel for imitating thunderstorm downbursts over models of medium-sized buildings. The problem he has is how to visualize the flow over these models in a wind tunnel the size of small warehouse. Currently he is doing a smoke based system, but it occurred to me that another way would be to put pieces of black tape at various places on the model and heat them with spotlights or small lasers, then visualize the refractive index changes in the air as it flows. The imaging of refractive index gradients has a long history in fluid mechanics and is known as Schlieren imaging. It is usually done with large parabolic mirrors, but a new kind of computational Schlieren called Background-Oriented Schlieren has recently come of age, and it is extremely simple to do, as I will demonstrate below. The basic idea is that you take your warm object that is making the hot air currents and you place it in front of a large screen of randomly placed dots. Small changes in refractive index caused by warming the air make the dots "dance" on the background. Prior to placing the warm object in the scene, you take a "tare" image of just the screen with the dots, and then you can use special programs that use image correlations to determine how far each background dot has moved. The final output is then shown as a grayscale image where the amount of left-right movement of the dots is coded as a shade of gray (or sometimes a false color). The setup is shown below, both as a schematic from a paper by Gary Settles, "Smartphone schlieren and shadowgraph imaging," and also in my kitchen. My setup: Note that the size of the screen I used is actually much too small, which I knew ahead of time, but this was intended only as a proof of concept. I wanted to know how easy it was, and how practical it would be to build a set up in a large wind tunnel. I also wanted to demonstrate the concepts for my student, and show him how to do the processing. My tare image (actually an average of 30 aligned images to reduce noise) looked like this: A second image with the candle lit looked like this. No visible movement of the background is obvious and it couldn't be seen with the naked eye either. At this point I was very nervous that it wouldn't work! After processing the images, though, the airflow popped right out! Images were processed in MATLAB using a freeware program called PIVLab. Places where I had no dot screen or that had very little texture for the PIVLab program to detect came out noisy. I have also Photoshopped the candle and bowl back into the photo, which is standard procedure in BOS imaging. Here are some more examples: I do believe this is the first time THE AIR ITSELF has been imaged on UVP! I also took thermal photos, but what you see here is not the air but the soot from the candle flame (since gases don't emit blackbody radiation). And before Stefano points it out, yes, I COULD have visualized the CO2 absorption in MWIR with the other camera, but at the moment I don't have a way to support that 7kg camera in my kitchen. https://vimeo.com/535737212

Here's the side of the building next to me in 980nm and also in LWIR using the thermal camera. The NIR water absorption peak is 976nm, resulting in dark water. But not as dark as SWIR! The LWIR pic was taken after dark, some hours after the 980nm, so a few icicles fell in the interim. Equipment Thorlabs 980BP10 bandpass filter EL-Nikkor 80mm/5.6 metal FLIR E60 and tripod Processing Contrast adjustment in Photoshop and PhotoNinja for the 980nm pics Assembly of the pano for the LWIR using Panorama Stitcher (a mac program). Photos Here's the full wall:

As previously alluded to here, signs with different colored text in visible light develop thermal differences that make the text visible during the daytime — but as the sign cools in the evening, it becomes uniform temperature, leading to the vanishing of the text. Shown here is a sign out my window captured in increments of roughly 30 min starting shortly before sunset.

These are all panos made with my FLIR E60. I have recently obtained the 15 degree field-of-view lens since FLIR has overhauled its product line, and the 15 degree lens is being discontinued, along with the FLIR E60 itself, so prices are slightly lower now. Processing notes: The original FLIR images had the raw extracted with EXIFtool, had the histogram adjusted in a batch operation in MATLAB so that all photos were corrected to a common max and min value (to avoid contrast differences between photos when stitching). They were then stitched together in Panorama Stitcher (a Mac program that handles lots of small images particularly well), had shadows raised/highlights lowered using Aurora HDR, and colorizied in MATLAB. The photographer and his new lens:

A scene I've shot many times in other wavelengths (and posted here) but never before in the longwave infrared. This is a 38 image pano of 320x240 images shot with the FLIR E60, raw extracted with Exiftool, stitched with Panorama Stitcher, and tone-curved with Aurora HDR software. Also sharpened with Smart Deblur. Incidentally, I tried straightening the horizon, but this seems to be one of those cases where it's better to "break the rules" because the image lost a lot of its drama.

FLIR E60, 61 image panorama, RAW photos assembled with Panorama Stitcher (a mac program that seems to do especially well with lots of small images). Gray tones adjusted in Photoshop, and then colors applied with custom MATLAB code. Happy holidays!

I spent some time by the pond near my apartment. I've taken photos there previously which you can see on the board here and also captured St. John's Seminary (visible across the water) in LWIR here. Some of the locations are the same, but the wavelengths involved are different in this post. First a UV shot. I found an interesting way to alter the false colors here, by doing a channel swap and then rotating the hue in the Photoshop hue-saturation dialog until the sky became blue. A side effect was that the seminary looks like a golden castle. Here is a crop of the seminary: Here are some irises (iris versicolor, probably) growing by the water's edge. The colors are the board's standard UV (post WB) colors. Night fell. Those irises fluoresced nicely. And here's the seminary in LWIR. I really need to get a LWIR lens with a smaller field of view.

First, here's my hometown of Brighton, MA (which I have done before, with the old camera, but now we have better detail): Tech notes on producing LWIR panoramas with FLIRs: 1) exiftool can extract the RAW to a TIFF file, which solves a lot of problems and greatly improves the quality 2) Photoshop actions allow batch processing of the histograms, and also stitching. 3) I have edited the image in the usual way, adjusting contrast, curves, etc. for optimal looks, which means that while brightness still corresponds to temperature, it's NOT linear, so twice as bright is not the same as twice as warm (or any similar notion you might have).

These are some nice old Cambridge apartment buildings that my friend just moved into (and therefore I won't specify the exact location). FLIR E60, 110 photo panorama Software was MATLAB, exiftool, Hugin for stitching, and Photoshop CS6. I used tone-mapping on this extensively (in fact, I rather overdid it, oh well...) and it would be very chancy to try to associate temperatures with particular colors or brightnesses. Please enjoy this simply as a longwave infrared photograph.

I happened to be at Harvard last night and I had my thermal camera with me (old-style FLIR e60, with 320x240 sensor and 25 degree FOV lens). Now that the cold weather has arrived, it is LWIR season. Here is Memorial Hall, which is not (and never was) a church, despite appearances. It is a memorial to (quoting Wiki) "the sacrifices made by Harvard men in defense of the Union during the American Civil War —‌ 'a symbol of Boston's commitment to the Unionist cause and the abolitionist movement in America.'" I also like the inverted version: These should not be read as thermograms for multiple reasons, starting with the issues involved in fusing the images (there were 41 individual photos!). In addition, sharpening has been applied, which causes some edge glow (beyond what is there naturally, I mean), and also I have filled in some of the ragged edges in the panorama with Adobe's Content Aware Fill, so the extreme edges are not even real. Long story short, this is art, not science. I also got some photos of those lovely arches:

On the 6th of October we took some pictures from a solar plant. The images are size reduced and enhanced. Unfortunately I have a bright spot in the middle of the NIR pictures. I found, that the SELP1650 is poor for NIR. Unexpected and very interesting are the patterns in the UV image. However, the patterns do not correlate with the defects. In the NIR and full-spectrum images, the patterns are not visible. Full-Spectrum Sony A 6000, Lens SELP1650 IR Filter: Green.L, IR950, UV Filter: Makario SP2 UV-400N Thermal image: Flir Vue 336 Full_Spectrum_DSC01570: 1/800s, f/6.3, ISO-100 NIR_DSC01520, 1/80s, f/6.3, ISO-1000 NIR_DSC01571, 1/60s, f/6.3, ISO-640, UV_DSC01543, 1/3s, f/6.3, ISO-3200 Best regards, Wilhelm

Thank you for accepting me. I got the link to this very interesting forum from David Kennard and have already read a lot. Many contributions concern NIR. Until now I made NIR photos with my multicopter/drone using a low cost camera, see the attached image. In the next days I will get back my converted Sony A 6000 for IR and UV photography. I hope to enhance the quality and that UV photography from the drone will work too. I am also interested in taking pictures with a thermal camera, see the screenshot. The two dots are hot-air balloons. Best regards, Wilhelm

That rimes, by the way. I don't have any 2000f molten spewing lava around here, but I found a deer laying in the midday grass.

The Waterworks Museum, constructed in 1886, is a new museum that opened near me next to Boston College. It's a fantastic building. FLIR E60, 59 original images Software: Hugin for stitching, MATLAB for putting all the histograms on the same scale, SmartDeblur for deblurring, exiftool for extracting RAW. Vis, iPhone 6S Plus (just for comparison's sake)

The church down the road from me looks wonderfully dramatic in LWIR. The outside temp 17°F/-8.3°C, and the photo was taken at 1am after cooling the camera for half an hour (in LWIR, the camera makes its own light, which means cooling it gives somewhat better images). FLIR E60, 45 pics of 25 degrees each, processed in exiftool (to retrieve the RAW), MATLAB (to adjust contrast uniformly across all the images, and also to colorize), Photoshop (for stitching), and SmartDeblur (sharpening/unblurring). And in iron colormap:

St. John's Seminary is one of innumerable Catholic institutions in my area of Boston, and it has a lot of very nice neo-gothic buildings that photograph wonderfully in LWIR (which is an inherently gothic-looking photographic medium, to my way of thinking). The trees, in particular, look like something out of Wuthering Heights. FLIR E60, 43 image panorama. Tools: Photoshop for stitching, MATLAB for putting all the histograms on the same scale and for colorizing, SmartDeblur for deblurring, exiftool for extracting RAW. Taken at 1am, air temp was 8°F/-13.3°C. I'm not sure colorizing the image improves it, but it's traditional for LWIR photos, so if you want to know how it looks with a traditional FLIR "iron" colormap, here it is.

Count the windows... (Please forgive the ugly phone-cam shot for comparison.) FLIR E60 (new camera!!!) panorama, LWIR (7500nm-14000nm) Visible