Skip the waitlist and invest in blue-chip art for the very first time by signing up for Masterworks 🖼️: masterworks.art/asianometry

@bananaman2495

Жыл бұрын

I'm a big fan of yours and am saddened to see you advertising for a firm that offers, at best, very dubious investments covered in shiny marketing. I wonder how much it took

@ddegn

Жыл бұрын

@@bananaman2495 You don't want to buy art for someone else to enjoy? I really wish creators would do a bit more research on some of the shady advertisers on KZread. If one reads non-sponsored sources about this advertiser, it quickly becomes apparent the advertiser is very shady.

@sedrakpc

Жыл бұрын

You are a very smart person and I’m sure it was very hard decision, but please for silicon sake just create a $50 or 100$ tiers, but stop advertising this crap.🙏

@vylbird8014

Жыл бұрын

I hope you are getting a good price for your dignity.

@rainerkinzinger555

Жыл бұрын

Nice ad transition! though I will have to concur with the others regarding the sponsor. Don't sell yourself out! Your videos age well and I hope to continue watching them in the years to come.

Jon, I want to echo the other people who commented on the same thing. Please, please make multiple expensive subscription tiers (ie, like PBS Space time does) and keep your channel ad free. I think you will be able to generate more revenue long term. I am donating to put my money on the line. You research very interesting topics and there is a non-negligent subset of viewers who will support you for a higher amount! Please!

I'm constantly amazed by how 'well rounded' the knowledge of the host of this channel is. Every subject he does is something I find fascinating. How someone can make a smart video on satellite imagery AND a subject as polar opposite as the nuances of Australia's gas woes is beyond my own capabilities. Most Australians don't even completely understand our gas market, so to have someone with a North American accent explain it to me is wild.

@GuinessOriginal

Жыл бұрын

He didn’t mention that the USA is using this tech to map the war in Ukraine against Russia, and this and AI strategies are big reasons Russia is struggling

@joansparky4439

Жыл бұрын

@@GuinessOriginal he did, right at the end.

@andreasproteus1465

Жыл бұрын

Generality is the mask of superficiality.

@bp9696

Жыл бұрын

@@andreasproteus1465 This comment sounded smarter in your head than it actually is.

@marklabarbara2871

Жыл бұрын

Too true! It’s unfortunate that he has such a sketchy company sponsor the video though.

I am a an engineer working in this field and I want to make my compliments to the author. very accurate and clear explanation of the current state of the art technology in remote sensing and earth observation!

@stachowi

Жыл бұрын

I don’t know how he can be so prolific (and accurate) on so many disparate topics, one of my favorite KZread channels

What they did for Microsoft Flight Sim in 2020 was quite cool. Where previous simulators would populate the world with a pool of generic building model, the new MSFS produces more accurate individual buildings using AI. They had a company scan all tiles of the Bing Maps with an AI whose job was to find all kinds of structures, trace their basic floorplan, judge height and colors. Which in terms allows the game to have in a ideal scenario, each individual building placed accurately within it's plot on top of the imagery. The height and odd architectural features obviously don't always translate well but it's an incredible step up. The color recognition further enhances accuracy by identifying the correct roof type and replacing clouds with a generic terrain texture. And also placing down trees and forest more accurately than the normal forest layer on OSM

@thecomputer3902

Жыл бұрын

Although they did pay a company to analyze Bing Maps data, they only did that for bigger and more popular cities such as Paris. Most locations pull data from OpenStreetMap where data about buildings is crowdsourced. Buildings that have typos in their crowdsourced data will often create bugged buildings in-game.

@Napoleonic_S

Жыл бұрын

then you add DLSS on top of that, insert the meme "yo, I heard you like image reconstruction, so..."

@rydplrs71

Жыл бұрын

Gpu power, memory volume and speed, and data transfer rates had to improve to allow that to be applied.

@rdablock

Жыл бұрын

aren't most of the buildings just generated with normal autogen, like FSX or X-Plane? Also the high detail cities like New York, Toronto, Tokyo etc still use manual photogrammetry scanning

@cyrileo

Жыл бұрын

Interesting! The advances in AI and satellite imagery make this type of technology so accessible to everyone. 🤩

You’ve tapped into a universe of value. SAR, Hyperspectral, and gravitational sensors on low cost satellite swarms means a host of applications that will change risk, finance, insurance, agriculture, logistics and more. It’s a trillion dollar opportunity that few see, let alone know how to apply. AI makes it accessible and actionable because on satellite processing lowers the cost of tasked data sets. Glad you are showcasing a topic that excites me.

This isn't entirely related, but it's a fun story: In the late 50s/early 60s, the US determined that an increasing number of Soviet Union soldiers must be stationed in Cuba. They did this by noting that spy plane photographs showed a lot of public parks were being marked out as soccer fields. Cubans play baseball; Russians play soccer.

Disneyland at 8:20 Palmanova at 13:41 Ogata at 13:50

Hey, not sure if you care about my opinion at all, if you do: I really loved your channel so far. And doing some ads is fine too. But please make sure you clearly state where an ad/sponsoring segment starts next time (you made very clear that it was sponsored when you ended the segment, but i was so shocked that i almost closed the video before that). Your integrity is one of the highest goods you have and doing such smooth transitions from the topic of your video to the sponsor is one of the easiest way to lose the trust we have in you.

@ibrahimtall6209

Жыл бұрын

I believe what u meant to say was “thank u for bestowing upon me so much insight and knowledge, but seeing as how I’m such a sensitive and anal t wat, would u kindly consider delineating ur ads more clearly?”. I fixed it for u. Ur welcome

isn"t masterworks a scam ? I had great respect for this channel, wtf.

@musaran2

Жыл бұрын

Yes, they fudge their numbers by for example not including art that did not resell in their profit calculations.

I have worked in this industry for almost 15 years, working on projects and contracts for many of the products discussed in this video. While geospatial machine learning/AI products are getting better by the day, many of them are not quite ready for prime time. While I don't disagree with the conclusion of the video, I would say that the biggest challenges ahead for these firms is identifying buyers for these alpha or beta state products. Either way, fantastic video! One of my favorite channels on youtube.

@wei270

Жыл бұрын

the problem is at the end of the day we don't actually have AI. the current machine learning is in reality multidimension optimization instead of single dimension optimization in the past.

@DimbleWally

Жыл бұрын

@@wei270 Well said Wei, I totally agree with you. Multidimensional optimization is great, and has a lot of uses, but it's definitely not AI. I hope there will be a shift in the usage of the term "AI" in the future, but I'm doubtful.

@derdefr

Жыл бұрын

@@wei270 computer thinks for me. good enough to be called AI lol

@hellcoreproductions

Жыл бұрын

@@DimbleWally It's just a layman's term at this point, it doesn't change the profound impact of the tech.

@__alt__568

Жыл бұрын

The companies I've worked for that have succeeded with AI based products normally use machine learning as a filter for obvious cases and then pass on anything with ambiguity onto a team of humans that make some set of judgements. Generally this is a very useful business model since it means you can solve problems that weren't economically feasible previously before the filtering step.

The sponsor transition was devious.

@GregConquest

Жыл бұрын

Yeah, I didn't give this video a Thumbs Up because of that. I want to know when I'm hearing an ad. In this case, it took much too long to notice he was off-topic.

@urimtefiki226

Ай бұрын

@@GregConquest Add is not good for creativity, interrupts your thinking.

As a researcher on this field i can say that AI is the new "hot stuff" in image processing and analysis in remote sensing, but as the technology progress, so does the work/headaches. There are so many variables to be considered that, in my view, interpreting results with quality and distinguishing between good and garbage was, is and will be an "art". I think AI helps in the heavy lifting, but the final conclusions and corrections have to be given by a specialist. Nowadays there are so many options at the click of the button, that many mistakes are easily made, which of course i also made, and took time and study to correct. I don´t mean that it should not be used and improved, but we should avoid relying solely on that, just because it worked before Anyway, amazing video, keep up the good work.

@LearnItalian24-mz7hg

5 ай бұрын

Can I ask you for some suggestions and recommendations for new crazy students in this field? Thank you.

@0tiochico

5 ай бұрын

@@LearnItalian24-mz7hg Of course, ask is the way to learning. I would recommend to build the knowledge to the ground up, first the basics of remote sensing, GIS and its techniques, how it works, pros and cons. A good chunk of people goes straight to AI/Neural networks/deep learning things and complicate things when a good old technique or some clever workarounds solve it just fine. Then in parallel get to know coding like python, IDE and google earth engine to name a few, those things will help automate big and bigger workflows, with time, getting to know AI tools will feel a natural extension. When you get in this stage, get some course on udemy/coursera or good book about this subject to guide you. Also, remote sensing is an art in some ways, accumulate experience, do analysis by hand to get the feel for adjustments and technique uses, the quality of your results depends on the quality of your know how. Best of luck to you.

@0tiochico

4 ай бұрын

@@LearnItalian24-mz7hg I would suggest you to learn well the basics, the concepts and techniques, there are already tons of techniques that solves most of the problems, in parallel, learn to code, python is a great start, then you can use what you learnt in a bigger scale, automate workflows and so on. With this know-how you will know better on when and how to apply AI to those analysis. Some things in remote sensing are like art and with experience you will know how to distinguish and characterize it. Best of luck to you.

@LearnItalian24-mz7hg

4 ай бұрын

Tahnk you man@@0tiochico

As a map geek, this was one of your best videos, Jon! You put so much information in ~20 video

@brodriguez11000

Жыл бұрын

The use of cell phones by Nokia to help generate road paths and keep them current. Hence autonomous vehicles.

@manofsan

Жыл бұрын

@@brodriguez11000 - doesn't the Waze app do that too?

Noooooooooooooo! Not a masterworks ad ;-; Well get that bag anyway jon, you deserve it!

@lekhakaananta5864

Жыл бұрын

Nobody deserves to profit from a pyramid scheme.

@brodriguez11000

Жыл бұрын

@@lekhakaananta5864 Except the Egyptians.

I am amazed by the depth and breath of this channel, as a remote sensing person. This went beyond my expectation for a layman explanation of remote sensing, very clear very cogent just like your other videos. Kudos and very well done!

I don’t know how you come up with such great and complex content on such a consistent schedule. I really admire your work!

One of the "big" tricks in identification is based on spectral resolution. You can pick out a given material based on its reflected or emitted spectrum. This applies to everything from chlorophyll to asphalt. With the right filters, you can pick anything you want out. The hard part is knowing what to look for. As a for instance, with stored full-spectrum image data, you could probably do a study of roadbuilding by looking for the emission lines from the long-chain hydrocarbons used to make asphalt.

I love your videos! Keep up the great work and covering all of these intriguing topics

Soon enough, we would be finding Roads in Captchas instead of traffic lights on roads

Been watching your channel since some of your first episodes. I have recommended you to many people as your videos are some of the most informative I've ever watched. Keep up the good work!

What a great presentation and well organized digest of a subject I knew nothing about.Well done!

At minute 13.42 It's a fortified city of Palmanova, North East of Italy, founded in XV century . I live 20 km from that city and i have done my military service there in 1984. Thank you for the imageñ

@tami6867

8 ай бұрын

would you recommend visit that city? it has a cool street layout, but from a quick street view walk, it actually did not look that interesting.

Asianometry video about AI in spaaaaaace! On Friday! let’s gooooooo!

Thanks for your work, enjoyable to watch as always

All of the Asianometry KZread vids are excellent. Absolutely the best, but the internal advertising degrades the quality and cred. Keep up the great work.

@mochi182tv

Жыл бұрын

"but the internal advertising degrades the quality and cred.". So, you're gonna pay for his food and rent?

Fantastic video! You get better every time. Much love from Victoria 🇨🇦

Just completed a remote sensing minor, you nailed this topic!

very interesting and timely. thank you for all the work and then sharing.

"Traditional classifiers miss a lot of sarcasm". Wait.. oh, he said sargassum. But It's still true that language AI often doesn't get sarcasm.

YES. Thank you, this topic is bleeding under my nails since months. I recently joined my local Openstreetmap community and I really feel that disruption is around the corner. ML won't see street names, but streets curbs with 10cm accuracy. Places like India are still missing mapped roads in many places. Good satellite images can see the street conditions nicely, and daily. We map based on that, and ML will make it better than us. We have gigantic amounts of training data by applying the existing map and satellite data to train the model. I think it's why Microsoft and Meta bound together to create Overture maps, while putting OSM into stress but also opportunities. Look at Tesla FSD beta, it maps roads live with high accuracy on the fly while driving. Give this a 10x or 100x progress and we have disruption.

big data and satellite imagery can have a significant impact in various fields such as agriculture, urban planning, natural resources management, and disaster response. For example, in agriculture, satellite imagery can be used to monitor crop growth, identify areas that need irrigation, and predict crop yields. In urban planning, satellite imagery can be used to track urban growth and identify areas in need of infrastructure development. In natural resources management, satellite imagery can be used to monitor deforestation, illegal fishing, and other activities that may have a negative impact on the environment. Finally, in disaster response, satellite imagery can be used to identify areas affected by natural disasters, assess the extent of damage, and aid in the distribution of relief supplies. Overall, big data and satellite imagery provide valuable insights that can help organizations make more informed decisions and improve the efficiency of their operations.

Great script, ChatGPT could not have done better. 😀

Isn't Palantir doing this already?

@reddixiecrat

Жыл бұрын

Yes

It would've been better if the open source project's link was added in the description.

Love your Channel, mate. A welcome diversion!

0:56 what a smooth and sleepy transition from the title topic into an ad. not terribly cool.

im amazed how much this MAsterworks managed to get in everyones channel

dude you are so good at this

You are very good at this!

one czech company has a cubesat that has machine learning algorithm bthat decides which images are good and interesting and only sends them back to earth, they cannot send everything cause of the limited bandwith.

Always a pleasure to listen to👍🏻👍🏻祝你新年快乐，万事如意🎉🎉🎉🎉🙏🏻🙏🏻

So, what I took from this video: the b.s in that CSI show where they zoom in and in and in, and enhance a grainy video will now actually be possible.

Great work. Thanks for sharing. Learned so much. Thanks for steering away from hyperbole!

14:00 For the farmland detection we have already using infrared satellite images. They show clearly man-made objects, different crops, forests and water.

There is additional data gathered from sensors that are not radioelectric. Gravimetric or magnetic.

Thanks for sharing

Great video!!

Good video! I love the AI generated images too! What was the words used to make the image at 0:04 ? The planet earth with a black starlit background with a satellite in orbit?

Pls no more ads👍🏼

Great video - perhaps a future one on smart grids? (power system stability, smart meters, federated learning, data privacy, cybersecurity)

A terrific techy video.

You never revealed what the low-resolution image was. I guessed Disneyland.

Congrats on getting sponsored!

Some of the coolest satellite images I've seen this year were the Tonga volcano and the shockwaves transiting the globe. No mention of how lidar seems dissolve vegetation? While not satellite images a lot of pre-Columbian ruins were identified in Central America recently. I can see how this technology will revolutionize battlefield surveillance and things like nuclear compliance.

hey i give ya props on that segway my boy

"Can you guess what this?" Given the size and shape of the two areas that seem to be theme parks, and the large parking lots to the direct west and south east, as well as the large seemingly convention centre south, Disneyland

I really like your stuff, and am 100% behind getting sponsored. I am just saying, I am absolutely certain that Masterworks is going to be revealed as a scam within 18 months.

The only possibility that's missing in all this is privacy.

@josephdouglas6260

Жыл бұрын

Nobody can hear you screaming about privacy at 80,000 feet 😭

@tradfi950

Жыл бұрын

ceilings

@CatnamedMittens

Жыл бұрын

@@tradfi950 no

@0neIntangible

Жыл бұрын

Satellite imagery coupled to drone coverage, and with these new in-home automated monitors like Alexa... no place to hide and be alone.

@CatnamedMittens

Жыл бұрын

@@0neIntangible exactly.

yayay the MetOp as the thumbnail +100 social credit from amateur weather satellite reception community

17:40 where can I get a link to this? Would love read more about walruses!

the utilization of large-scale data sets and remote sensing technology through satellite imagery can have a significant impact on various industries and disciplines. The ability to process and analyze vast amounts of data, in combination with the high-resolution images captured by satellites, facilitates the optimization of decision-making processes and operational efficiencies in fields such as agriculture, urban planning, natural resources management, and emergency response. For instance, in the realm of agriculture, the implementation of satellite imagery enables the monitoring of crop growth, identification of regions requiring irrigation, and forecasting of crop yields. Furthermore, in urban planning, the utilization of satellite imagery permits the assessment of urban expansion and identification of areas in need of infrastructure development. Additionally, in natural resources management, the utilization of satellite imagery facilitates the detection of deforestation, illegal fishing, and other activities that may have a detrimental impact on the environment. Lastly, in emergency response, satellite imagery can be employed to determine the areas affected by natural disasters, evaluate the extent of damage, and aid in the distribution of aid. In summary, big data and satellite imagery provide valuable information that can enhance the intelligence of organizational decision-making and enhance operational efficiencies.

Disappointing how you segued that sponsor ad into your tech story. Count me out, over-and-out.

I am a little surprised there was no mention of satellite optics, but I guess that's not at all related to semiconductors, and it's, surprisingly, often done by hand. Huygens Optics channel has a neat series on it.

13:51 is Akita, Japan. Used to live there

I can assume a lot of classified work is being done with deep learning and hyper spectral imaging.

For the purposes of image recognition, 'super resolution' is 'object detection', they're equivalent. To understand this, think of what happens if your ML algo hallucinates pixels so that pixels that are of a garage are upscaled to look like a truck.

I would like somemore videos about microfluidics.

I personally like the idea of using this tech for land classification, that is, what type of vegetation or farmland a given area has: is it mostly eucalyptus or pine trees; corn or wheat; desert or grassland? I remember using a mobile app showing land identification/classification a few years ago (and whose name I've forgotten), but it still had some blatant errors in my area...

I thought he’d mention searching airplane crash locations and missing ships and boats. That would do wonders for finding people fast. The cameras could be satellite, boat or airplane based.

I remember buying Autostitch software back around '09 which used SIFT algorithms to great effect. 👍😎🇦🇺

8:17 Disneyland. Not sure what it says about me that I recognized it instantly

Very Intresting what development has happened to this term with the help of ai. It makes me remember back to the year 92 when a CD Rom set of satellite images from Germany was sold to watch it on a Windows 3 PC.

This is cool content!

4:10 Laser comms will further increase the amount if you include high quality video footage that currently cant be transferred because of bandwith limitations.

The thing with "Super Resolution" and all other linear algebraic techniques is although they will on average match reality that is only because reality is regular. A.I. produces what is expected to be their by making a guess that is on average right. But what it does that by taking the "average", it makes a prediction that everything will look the same as the training set. Training sets are limited and biased is known and probably unknown ways. When reality departs from the the training set A.I. still assumes the training set is truth. A.i. will predict the training set. When something outside the correlation between training set members occurs A.I. flounders. A.I. doesn't derive principles, it predicts the usual. Because what is usual, usually happens A.I. is accurate. When the unusual happens A.I. usually fails, but those failures are unusual and who cares about unusual events?

Fun fact, Nazi Germany took the first picture of earth from Space, from a V-2 rocket.

@saml7610

Жыл бұрын

I can't say that's a terribly fun fact. Any win for the Nazis, that was a loss for humanity at large.

Does anyone know the best keywords to use when searching for these AI models for working with satellite imagery? For example if you want to count the number of cars in a satellite image, you need a model that is specifically trained for object detection from aerial images but when I search for "satellite image object detection" I feel I'm only finding a small number of results, whereas I expect there is plenty of research/discussion that's going on that I'm just not finding.

@LearnItalian24-mz7hg

5 ай бұрын

Can I ask you for some suggestions and recommendations for new crazy students in this field? Thank you.

i personally experienced this ad read as somewhat inappropriate. the sentences leading up to the sponsor reveal did not make it clear that they were actually part of the ad read and as a viewer i was kept in the belief that the arguments given were part of establishing a base to support the hypothesis of the video, which i experienced as quite misleading. ad reads are fine, but please make it clear to the viewer that they are watching one :)

This is a massive industry with massive implications. Especially for militaries. China in particular is investing big time in this field to acquire the ability to track US mil assets as much as they can and as close to real time as they can. This synergizes with their massive ballistic missile fleet to give them the ability to strike US assets thousand + miles away. While the US has developed and will develop a constellation of satellites to track (in real time) missiles such as ballistic and hypersonic missiles. This track will cue other missiles to shoot down these threats. Its a back and forth race between the two

All these images could have come from commercial or military planes. You haven't shown they come from "landsat".

You should have included that pixelated portrait of obama that the upscaling technique turned into a generic white man as a demonstration for the limitations of the single frame super resolution algorithms.

Wish google maps can include closed roads/highways from government works data

8:20 That's Disneyland. The large structure in the upper left is Starwars: Rise of the Resistance and that's the 5 freeway by the upper right corner. What did I win?

13:46 Palmanova in Italy

Anyone else getting that "ENHANCE !" vibe ?

art is soul manifest soul is that by which we desire desire is a vacuum spirit is a wind

interesting video

6:41 that was a dalle image right?

Can you please caption your videos?

Great video as usual! Regarding Super-Resolution (around 7:30), perhaps GAN (Generative Adversarial Networks) is another one that worth mentioning. GFPGAN is an example of this, and since it is trained on human faces, it is capable of doing an exceptional job with the super-resolution of facial images. Same thing can be done with GAN for other types of objects or scenes. Regarding Satellite Image Analysis (around 10:44), beyond the four types mentioned there is another: Scene Understanding. This is about making a general description of a scene, such as "there was a tornado that passed this area" or "this is a farm land that has suffered severe bombardment with many wrecked vehicles," etc. For example, the Salesforce BLIP is a system capable of doing this type of analysis. This is quite different from using deep learning to classify images into fixed number of categories, since it is capable of recognizing a very large number of objects and scenes, and then provide a textual description. Other than using this for satellite image analysis, this also has important applications for many areas, such as many types of autonomous vehicles/robots that operates in the open world.

@manofsan

Жыл бұрын

How is "scene understanding" done? Do you have to train your deep learning model on a repository of images that have been appropriately text-captioned?

@kaihuchen5468

Жыл бұрын

@@manofsan Yes. BLIP (or OpenAI's CLIP) is pre-trained on a large dataset of image-caption pairs in order to understand the relationship between text and images.

@manofsan

Жыл бұрын

@@kaihuchen5468 - what a coincidence, I was trying CLIP the other day, and I've just now tried it again because you've mentioned it. I found that it generates some useful text with extra unrelated garbage words added on. Perhaps that's because an input image can generate broader text associations than what's useful. Interesting tool, though.

@kaihuchen5468

Жыл бұрын

Yet another prospect over the horizon is to train ChatGPT on the text derived from applying Scene Understanding to satellite images. Here I will let ChatGPT do all the explanation by itself: My question to ChatGPT: If we apply scene understanding to satellite images to create textual descriptions, then train ChatGPT on these text, what kind of advancement can be achieve in the management of satellite images? Reply from ChatGPT: Scene understanding, which is the ability of a computer to interpret and understand the contents of an image, can be applied to satellite images to generate textual descriptions of the image content. Once the scene understanding model is trained, it can be used to generate textual descriptions of new satellite images, which can then be used to train ChatGPT. By doing this, ChatGPT would learn to generate text that describes the content of satellite images in a coherent and contextually appropriate way. This process of scene understanding and text generation can bring several advancements in the management of satellite images: 1. Automated image annotation: By generating textual descriptions of satellite images, the images can be automatically annotated and organized, making it easier to find and retrieve specific images based on their content. 2. Image search: The textual descriptions generated by the scene understanding model can be used to perform text-based image search, allowing users to find satellite images based on their content. 3. Image captioning: ChatGPT trained on satellite image descriptions can be used to generate captions for satellite images, which can be used to improve accessibility and understanding of the images for people with visual impairments. 4. Image analysis: ChatGPT can be used to analyze satellite images, by identifying patterns and features, it can be used for different applications such as land-use monitoring, natural resource management, and disaster management. Please note that all of the above are based on the assumption that the scene understanding model is well trained and accurate. Also, the quality of the textual descriptions generated by the scene understanding model will affect the quality of the text generated by ChatGPT.

@kaihuchen5468

Жыл бұрын

@@manofsan The internet-scope data that CLIP trained on is quite noisy. That's why Salesforce's BLIP put in some effort to deal with noisy data in order to produce better textual description.

This channels content is insane

Disneyland, somewhere in western germany, Tyre

bro , i ran AI upscaling & others on Satellite Imagery of Pluto, Mars and Titan, and i shat my pants.

Your ad segways are lethal

So why not apply these models to imagery collected by drone? If you could extract objects list manholes and catch basin these a market for that.

12:55 looks like an image of greek row one block north of university of washington in seattle wa. those dumb horse chessnut trees

How much reading does this guy do in a day to get all this research for his videos?! I mean Damn......

8: 17 No I cannot, what is that?

@ricardokowalski1579

Жыл бұрын

no idea

@ricardokowalski1579

Жыл бұрын

13:44 Palmanova forttress Italy

nice