Thank you, Irene. It's definitely good to be back here. So this is the Canyonlands in southeastern Utah, and it is the last place in the United States that was mapped in detail. Actually, a few separate attempts were made to do that mapping. In 1869 and 1871, John Wesley Powell led an expedition down the Green and Colorado rivers. A scientific expedition to map and explore this area, mostly geologists and surveyors. But they were limited to traveling along the rivers because the area is so rugged and inhospitable and remote. And even when they could clamber off the river itself and up onto the canyon edges, you know, this was their view. So hoodoos and mesas, but they really didn't get a good perspective, which you need to build a map. So in 1885, the USGS produced this. So it was the first of the official US government maps of the desert southwest. And this went through five different editions over 65 years, with only the only difference being the typography, so the labeling of features. And it wasn't until the mid-1950s that we got these very detailed topographic maps that we're familiar with today. And that really required the development of some new technologies, and it also was forced on by a uranium boom. So prospectors actually crawled over this entire area looking for material to fuel the US's nuclear program. And the technologies required were aircraft, big heavy aircraft that could carry these huge mapping cameras, the cameras themselves that could take wide area, high contrast, high resolution photographs, and then the science of photogrammetry. And what that is, is it allows, by looking at overlapping photographs, it allows you to precisely plot where each feature is in relation to the other photographs and eventually onto the surface of the earth. And from those, we have the wonderful high res USGS 1 to 24,000 maps with these great, highly detailed topographic contours. So that took 65 years. In the intervening 65 years, we have gone from not being able to map a place at all to being able to see it almost every day. So this is a planet image from March 12th and another one from April 10th. And in addition to this color imagery, there's also an amazing amount of other types of data. So the entire wealth of US government satellite data, plus the data exhaust from our phones, geologic maps, everything. So there's dozens of different data sets of every place on earth, and they're all useful separately, but they become incredibly powerful when you start combining these different types of data sets together. But then that becomes a challenge because they're all in different formats. They all might be in different map projections. So how do you really stitch everything together to make a greater whole? And one answer to that is GDAL. So GDAL is the Geospatial Data Abstraction Library. And it is, in fact, pronounced GDAL, not Goudal. Maybe back in the old days it was called Goudal, but then Frank went to work for Google and there was Google Goudal, maybe a little confusion. So it's GDAL. And it's a library that basically allows you to manipulate geospatial data, so data that is tied to a specific place on earth. And it's great because it's fast, it's free, and it's flexible. So it supports a vast number of data formats. It runs on multiple platforms. It's automatable, both through bash, any command line scripting, and then it has powerful Python bindings, so you can bring things in and then do analysis and numpy and things like that. Unfortunately, it's really kind of deep and obscure. So it's inconsistently documented. A lot of times, if you read the GDAL page on it on a certain function, it'll be like, well, the widget makes widgets. The widget function makes widgets, and that's not super useful. It also requires a thorough knowledge of map projections and data formats, and a certain amount of being able to manage, like, installing things in UNIX and managing the dependencies and things like that. So hopefully I can show why GDAL is cool and then give you some of the tools so that you can then start to learn it on your own afterwards and, like, even know the right terms to Google. So I'll just start out with some first steps showing some very basic commands that are essentially the GDAL's hello world, and then also introduce a few of the more obscure strings that you might find in options, then talk about map projections and how they're necessary because the earth is round, not flat, despite what you might think if you Google my name on YouTube. Then cover some functions, GDAL warp, some of the more esoteric options for how to control that, and then the concept of a virtual file, and then go into local map projections. So it turns out earth not only isn't flat, it's not perfectly round either, so we have all of these mathematical constructs to sort of model that non-sphericalness, and so that matters a little bit for local projections, and then some techniques for making a large scale, which means highly detailed maps from either a big data set or many smaller data sets put together. And then because the earth isn't static, we can also manipulate satellite data with GDAL, and so I'll talk about reordering and combining bands, scaling data, and then getting data from different formats to play well together. So for installing GDAL, Kanda is a good route if you're already using it. Be aware though that it installs a slightly older version that won't read JPEG 2000, so you might need to use GDAL Forge to get GDAL 2.1.3 going. If you're on OS 10, you can use King Chaos. It sounds like a mid-80s Hector Collective passing out floppy disks with Commodore 64 games on it, but it's these really nicely packaged binaries of GDAL and some of the supporting libraries and some of the things like QJS that are built on GDAL. Windows, you can go through the UCLA, has a really good demo and tutorial of how to install it, and then if you're running Linux, you know way more about this than I do, and you're on your own. So once you have GDAL installed, and I'll give the URL in a second, but I've written a blog that goes in detail in every single step and also has demo data sets that you can download, but if you download a GeoTiff, go ahead and run a command called GDAL Info, and the basic structure is you specify a command, you point it at a data set, and then you give it options, and so you'll run GDAL Info and you get back this big long string of text, but the important things for us is that a GeoTiff is just a normal Tiff, but it's got another header on it which has the information so that we can precisely place every single pixel on an image to a precise coordinate on the Earth's surface, and so part of that is the coordinate system. You'll also see corner coordinates, so you can sort of know where the corners are, the edges, and place the entire image in context, and then it'll give you information about each band individually, and that becomes really important when we start working with the satellite data. So one of the easiest functions you can do with GDAL is GDAL Translate, and that's just from going from hundreds of different data formats into whatever data format you want, so for making an image of a map for this slideshow, you can say GDAL Translate is the command, and then specify an output format, it's simply dash OF. There's a dash CO, a CO is a creation option, and this is one of those kind of obscure, really difficult parts of GDAL in that they're specific to each individual file format, so they're not really documented all in one place, they're spreaded all over the place, but quality is the JPEG quality from 0 to 100, just set that to 90. Outsize in this case is in pixels, so 1920, great for HD display, and then that's for X width, but I didn't specify height at all, so GDAL will actually keep the aspect ratio if you set one or the other variable to be 0, and so that's sort of an important concept about GDAL, is that it tries to do a lot of the work for you, which can be super convenient when it works right, but occasionally will break spectacularly, and trying to figure out exactly what went wrong can be quite tricky. Then I specify a resampling method, bilinear is a nice way to do smooth, it will default to nearest neighbor, which gives stair steps and looks pretty terrible, so it's a good thing to keep in mind, and then just an input and output file, and you end up with this map perfectly sized for the screen. So far, I haven't really shown anything that's particularly unique to GDAL, you could do this in pillow, you could do it in image magic, but as I said before, the earth isn't flat, and so the power of GDAL is really being able to work with things that are directly tied to real positions on a 3D surface. But the earth looks flat from ground level, it looks flat from an airliner or from the summit of Mount Everest, and it's not until you get to about 70, 75,000 feet that you can begin to see that curve, and so this is from a balloon expedition launched from South Dakota in 1935 from just above 72,000 feet, and it documents the first time humans ever saw the curvature of the earth, and it's not until you get to about a million miles away that you see the earth as this perfect disc against a black sky, and from this far you're actually getting very close to that orthographic projection that Mike was showing when he's spinning his globe, where it's basically seeing everything from 90 north to 90 south projected onto a perfect sphere. So each of these views is in effect a different map projection because you're looking at the earth from a certain perspective in space and then have a 3D object that then you're representing in 2D, so the 2D of a screen. Something we've known about as a species and a culture for a long time, this is the first globe. It was published in 1492 before Columbus had returned from his expedition, and so you can see that each of these sort of laws and shape things is what's called the gore, and you would cut them out and then paste them onto a spherical substrate to make the globe, and so cartographers really have a challenge because there is no perfect representation of the 3D earth in 2D, and so a well-designed map is going to be solving a particular problem, and for each different problem there's a specific map projection, and GDAL is this great tool for actually moving between the different projections. So if we start with the natural earth, which is this incredible free data set, they have different scales of raster data in a bunch of different styles. This one's really good for making base maps. They also have some vector data, but it's in what's known as a cylindrical equirectangular, so it's just an even grid of latitude and longitude, so it comes out as this 2 to 1 ratio, and then in GDAL we would invoke a function called GDAL warp to do the map projection, and so some of the options are similar to what you would see in GDAL translate, and there is some consistency between commands. Unfortunately, the syntax actually is quite different from command to command to command, so you really have to pay attention and sometimes look it up, and then at the bottom is a link to the blog series, where again you can go through and I have examples and step through in more detail what each of these things is doing. The next is specifying a target spatial reference system, and so that's sort of the mathematical magic that allows each pixel to be precisely placed, and rather than going into detail about every single component of this, I will just point you to spatialreference.org where you would basically look up a map projection, and it gives you an option of formats, several options for formats, and if you just click on the Progsh4 link, you'll get something that you then paste in single quotes into that target spatial reference system and do the map projection from there. There are some map projections that get super complex mathematically, where you can go in one direction but not the other, and GDAL really wants to be able to go in both ways, so there are some map projections that it just doesn't support, and somewhat conveniently, most of them are not supported by Progsh4, so if you click on that link and get a blank, then you probably can't do it in GDAL, or at least not without a lot of extra work. One of the other interesting flags that I've set in this command is DST alpha, and what that does is all of the areas that are off the map, because we're going from a rectangular map to a elliptical map, get given an alpha channel, so it'll default to just filling it with black, but it's really nice to have an alpha so you can overlay it on anything. And this next one is what's called a warp option, and these are starting to really get into the nitty gritty of GDAL, so it's manipulating how that very convoluted trigonometry is from going one map projection to the other is working. In this case, it's actually giving an extra border around the edges of the map, so we can calculate the edges of the destination map, which again isn't a perfect rectangle anymore. And this is where, again, I was saying GDAL does a lot of guesswork for you, but it can go spectacularly wrong, and so what the source extra is doing is just, it's giving you a little extra boundary, so if you run something and it doesn't look right or there's some missing information on the output, try adding this line or looking up some of the other options that you have. And then finally, I just give in an out file, and I get this as the output. And this is mole-wide, it's what's called an equal area projection, and so it's great for thematic maps, so things like temperature, rainfall, and population density where you really want them like per square kilometer, and if you were saying, you know, like showing change in temperature in Greenland, it would give you a disproportionate view of how the world was changing. But like most global projections, the poles are highly distorted and shoved off to the edges of the map, so what if you wanted a projection that focused right on one of the poles? So there's another one called polar stereographic that's optimized for that, but it blows up at the opposite pole, so you need to pre-prepare your data set beforehand. And so what I've done here is do a two-step process instead of a one-step process where I'm chopping out the bottom 30 degrees of the globe, so basically from the tip of the Antarctic Peninsula south, and then doing the next step of a GDAL warp, and I'm doing that with what's called a VRT, which is a virtual file. Instead of being a full-blown TIF with all of your information in it, it's a little tiny text file that is telling GDAL how to do that transformation. And so if you're doing a huge bulk job, it's really useful to do things in terms of these VRTs instead of TIFs to save time and space and processing power. And the next important bit was setting the projection window, so negative 180, and you know, that's just defining the edges, and so I get a little strip of the south pole and then do the projection. And the one interesting thing about how I did the projection versus the mole-wide is I referred to an EPSG code, and so there's an Institute of Petroleum Engineers who have predefined a ton of different projections for like sort of well-known areas, and so instead of that long string you can just enter in a numerical code, and then you can look those up at EPSG.io. Run the command and I get this, which is lacking something, and that's because I didn't include the source extra command, and if you do that it makes sure to calculate the boundaries correctly. As I mentioned earlier, not only is the earth not flat, it's not precisely round either. There's a bulge in the middle. And in the 19th century, well before John Wesley Powell set out to map the canyons of the Colorado, the East India Company did this incredibly detailed 70 or 80 year long expedition to survey India. And they weren't setting out necessarily to make a highly detailed map of India, and they weren't planning on determining the height of the highest mountains in the world to within 30 feet from 100 miles away, although they did both of those things. They were really trying to determine the shape of the earth. The earth has an equatorial bulge and in fact it's pronounced enough that if we measured elevation in terms of distance from the center of the earth, Chimborazo and Ecuador, which is I think a quite modest 18,000 feet, would be the tallest mountain in the world instead of Mount Everest. So these effects don't really matter much at a global scale or even a continental scale, but they matter quite a bit if you're trying to connect two railroads in the center of a continent or drill a well precisely where you have a permit. And this kind of shows up in some really complicated concepts in these projection strings that you'll see. You don't really necessarily need to internalize all this, but just be aware that they exist and be aware that if you are in a certain datum, it's usually best to stay in that datum instead of trying to move it to another one because that may be an undefined problem or might require a ton of coding to get it to work right. So basically there's an ellipsoid or a spheroid and this is an idealized mathematical shape. There's a geoid which is an approximate shape which is equivalent to the mean sea level and then there's a datum which sort of ties these two things together. And so some common datums you might see NAD 83 or 27 and then there's individual ones for Great Britain and Europe. But for a lot of satellite data, it's WGS 84 and if you can find data that's in this map projection or in that uses this datum which is confusing the ultimat projection, use it because it'll solve a lot of it will just prevent a lot of nasty problems. So how would we go about making a global map? You can either a local map, you can either start big and go small or start small and go big. We'll start with the former. This is using a continental scale map of the U.S., a variant on the natural earth data set. And then we're going to crop that down and re-project it and move from a conus alberus projection to what's called the Lambert conformal conic. As I mentioned, there's all these different map projections optimized for different things. You really have four options, area, angle, distance, and direction. And no map can do all four of them perfectly. And so there's various trade-offs. And so to clip a larger map, you can run this. Important part from what I've shown you before is again using a Proj4 string to specify the spatial reference system. But instead of pulling it from a library, I used a really handy tool called projection wizard.org.  And then you can just paste it into GDAL warp. And then also you need to define the extents. So these are the edges of the map. I've done that in lat long. Generally speaking, GDAL will default to the coordinate system of the destination. That can be really tricky because it's often defined in meters versus some possibly arbitrary centroid. So if you specify your own spatial reference system for those target extents, in this case, EPSG 4326, which is that same lat long, you can just type in the latitude and longitude corners. And then from that continental scale map, you get this reasonably high-resolution map of the Canyonlands again. But say we wanted a super high-res map. We can turn to another dataset. This example is from Nape data. It's aerial photography. It's done like every one or two or three years over the entire U.S. one meter per pixel or higher, but it comes in these little tiny tiles. So we're going to use a new program called GDAL merge. This is actually, was originally a demo program, but it became widely used and is super, it's just commonplace, so it got kept in the code base, but unfortunately it's like all this syntax is inconsistent with all the other GDAL syntax. So again, it's just something that you should really keep, keep aware of. So you can just run this and you specify an output file, and then it's really nice because you can just give it a wild card. So I'm just going start.tif, and it takes every tip from my directory and stitches it into a nice local map. So it's great just because of how simple it is relative to the rest of GDAL. And then what I've shown you so far is all pretty much static maps. A map is an idealized representation, but the Earth is always changing, so we can turn to satellite data as this extremely powerful way of looking at Earth as it evolves. And you might have heard California had this extremely wet winter. So this was what the Carrizo plane, which is where the San Andreas runs north of Los Angeles, you can see that horizontal, that straight line running right through the middle of the image. This is what the area looked like in the winter. And then this is what it looked like at the end of March in the spring. So all this rain led to this incredible profusion of wildflowers. You've probably seen some pictures, but satellite data is another way of looking at how widespread this phenomenon really was. And so GDAL is once again a really good tool for working with SATDAT, specifically because satellite data is strictly RGB, so it needs to be massaged to be useful. And plugging my blog endlessly, I have links to a sample data set on the blog, but you can also sign up for my company's Open California data set, where you can get all the data of California that's more than two weeks old under a Creative Commons license. So if you download some of that Rapid Eye imagery and you open it up in a TIF viewer, it would look like this. So not only is it super dark, the colors are also kind of wrong. And that's because the satellite data is packaged in sort of a scientifically-sensical way and not a otherwise-sensical way. So it's blue, green, red, red edge, near-infrared instead of red, green, blue. So it's got not only visible channels, but also these extra bands that are useful for doing specific measurements. So in GDAL, we need to reorder, or to view it at all, we need to reorder it, and GDAL provides a handy way of doing that. We go back to GDAL Translate. And most of the command is the same, but we specify each band individually with a flag. It's just dash B. And then it goes in order. So band three is red, and I'm putting that in the first channel. Band two is green, and it stays where it is in the second channel. And then band one is blue, and it's getting moved to the third channel. And then one other thing I need to specify, another of these really obscure creation options, photometric. And this sets the image to be interpreted as a full-color image rather than separate grayscale bands. So if you were just to load this in a photoshop without setting this flag, it would say gray and then alpha one and then alpha two instead of giving you an RGB image. We do that. It's still dark. Scientific data is linear. Our sensors are nonlinear. And so we want to do a little bit of scaling on the data to make it approximate how we see. We can do that, again, with GDAL Translate, but I've run GDAL info first to get the image statistics that we need to then know the endpoints. And then after that, I can add this dash scale flag. And what that's doing is it's taking the minimum and maximum extents and then stretching them into the full range of a 16-bit file, sort of from zero to 65,000. And then I also do an additional step of scaling exponentially, again, because we don't see linearly, we have this curve that sort of compresses black and expands white lighter images, lighter information. And if we do that, we get a much more viewable picture. Satellite data color correction is like a whole another thing. I could go on for days and days about that. But this is a really good first approximation. So what would happen if I wanted to compare this year to last year to get a sense of, you know, how extraordinary of an event this is? And I went back, checked for rapid eye data, and there was none that wasn't cloudy. But there was some good Landsat data. Another data set, this one's free, provided by the U.S. government. You can get it off of Amazon. And I downloaded the data for a day last spring. And unlike rapid eye, which is multiple bands in one file, in Landsat, every single band is its own file. And so we need to use a slightly different technique to do the combination. Again, using GDAL merge and using the separate flag to specify the red, the green, and the blue bands. And you would probably have to look this up independently for every satellite because every satellite was made by a different team of engineers that wanted to precisely solve their own problem. So they're all different. It's totally nightmarish. But for Landsat, four, three, and two are red, green, and blue. And you just combine them into a single file. And then this is the color corrected version of this. And you'll notice that it's a much wider area. And you can't tell, but it's also a lower resolution. So how would we match this data set with the rapid eye, which comes in a little tiny tile? We use a couple other commands. So GDAL tindex is actually walking around the corner of the file and then creating a second vector file called the shape file, which is a really common spatial data set. But instead of storing things as pixels, it's storing things as points with a latitude and longitude. And you do that with the tindex and create the shape. And then you point GDAL at the shape file to create a cut line. So it's basically making a box and superimposing it on that larger image. And then just tell it to do the cropping. So the crop function and then the file you're cropping and then the output. And the final little bit of GDAL magic is I'm setting this target resolution with TR. And this is not in pixels. This is actually in real world units. So rapid eye data is five meters, each pixel is five by five meters. And so I just set that flag. And then it resizes the Landsat data to match. So this is March 25th of 2016, March 31st of 2017. And you can see 2016 was a fairly wet winter but not extraordinary. 2017 was like biblical. And so we got much greener and these like incredible colors over the place. So hopefully I've given you a fairly good introduction and maybe comfortable enough to start looking into this on your own. Some functions I'd encourage looking at are GDAL, DEM and OGR to OGR. There's some ways to rapid rasterize vector data. You can pan sharpen low resolution data with high resolution data. And then you can do band math between like the red and near infrared bands like addition, multiplication, subtraction to do some fairly sophisticated analysis purely in GDAL. References I recommend including Derek Watkins GDAL cheat sheet which is a good thing to just keep open because it has specific commands and then syntax. And then I'd like to thank all these people for proofreading and sitting down and showing me source code and all sorts of wonderful stuff. And as a teaser, this is the Stamen watercolor map which was pulled out of web tiles and into a geotip with a single command. Thanks.


Welcome to Signal Hill, Mr. President, Governors Branstad and Thompson, Congressman Leach, Mayor Hart, and friends. During this year of WOC's 65th anniversary of fine broadcasting, it is fitting that we gather here today for the dedication of the new Signal Hill Communications Center with play-off like high-top brick-street hill indicating the weather for the day, such as S for snow, F for fair, R for rain, and so on. People refer to this as Signal Hill. Today, of course, we have a new Signal Hill communications service to this community remains the same. The changes which have taken place from WOC's humble beginnings at Palmer School to its current state-of-the-art operations are obvious, but some of the occurrences during WOC's early history are difficult to compete with. For instance, the foresight of our program manager, Peter McArthur, to hire a talented young man just out of college named Dutch Reagan as our sportscaster and radio announcer. I know if Mr. McArthur and my father, Dave Palmer, could be with us today, this would be their proudest hour. It is indeed my great honor to welcome back to WOC our most famous alumnus, ladies and gentlemen, allow me to introduce the President of the United States.  It was back in 1932, I had just gotten out of college and this was in the depths of the depression and you didn't think about career right then or what you might want to do in the long haul, you just thought about is there any way to get a job with 26% unemployment rate and Montgomery Ward had just moved into Dixon, Illinois and they were going to have a sports department and they thought they'd get someone who had a background of high school sports there, so I went down. I didn't get hired there but the young lady that I mentioned, a sportscaster, that's what I wanted to do and this young lady that was happened to be in the program department, I guess maybe saw that I was very discouraged and thought maybe I'm setting my sights too high and she assured me that no I hadn't, but she said you've come to the wrong place, you must go to the smaller towns and the smaller stations where they can afford to take on a newcomer and someone without an experience and give them the experience. Well it was a long hitchhike back to Dixon, Illinois that night, by the way for the last 30 mile stretch I got a ride with a fellow who told me quite unnecessarily that he'd been out trapping skunks, but the following Monday I took her advice and my first stop was here in Davenport, whereas we used to say in those days the West begins and where the tall corn grows and I went in for an interview with the program director Peter MacArthur, he had come to this country with Harry Louder, a great vaudevillian in a vaudeville act and wound up as the program director and no there was nothing here in an announcer, so now I'm really upset and as I'm going out the door I said how does a fellow ever get to be a sports announcer if he can't get a job in radio and I got to the elevator and fortunately it wasn't there because I heard a thumping down the hall, Pete had arthritis very severely and walked on two cane or with two canes and he kept calling me and rather profanely and finally I realized but he was coming after me so I waited and he asked me what was that that I said about sports and I said well that's what I'd like to be as a sports announcer he said what do you know about football and I said I played at eight years he said can you tell me about a football game and if I'm listening to it on radio then I'll be able to see that game and I said I think so he took me into a studio those original studio stood me up in front of a microphone pointed to a red bulb up on the wall and he said I won't be in here with you you'll be alone when that red light goes on you start broadcasting an imaginary football game well there I stood and I was all alone and I thought what am I going to do for names and then I said wait a minute one of our games in the previous season when I was playing we won in the last 20 seconds with a 65-yard touchdown run by our quarterback and I said well I know a lot of the other teams names and I know all of our teams names I'll start with the fourth quarter so when it came on I said the long blue shadows are settling over the field there's a chill wind blowing in through the end of the stadium we didn't have a stadium we only had bleachers and then I took us for as long as I could go up to the point that there we were and called that play with 20 seconds to go and the winning touchdown is scored at which point I grabbed the microphone and so that's all incidentally I probably I personally take credit for the first instant replay because on that famous play I was the key blocker of the first man in the secondary and I missed my man I don't know to this day how bud Cole scored that touchdown but in that broadcast I delivered a block that was just earth shattering well Pete came back in and he said be here Saturday we'll give you $5 in bus fare you're broadcasting the Iowa Minnesota game so I was there Saturday over to Iowa City we went and then I found out that one of his experienced staff announcers he had a loan for safety's sake and had agreed that we would alternate quarters and he would do I would do a quarter and so forth and I guess that was for protection case I my imagination couldn't but I'll never forget this real when we were coming up it was good so for that he told me that they had four more games left in the season for broadcasting and I was gonna get $10 a game and bus fare then I had to wait a few months before after the games were over before there was a vacancy and then I was if I went on and you know I'm proud to have gotten my start in communications here at WOC but I'm even prouder to have been a part of a tremendous broadcasting tradition one that is 65 years old this year and I think all of you can be proud not just of this new building but of all that represents serving the people of the Quad Cities for more than six decades when I first came here was only the tri-cities we were in the midst of the depression and today we're in the middle of an economic boom though we must get some help to the farmers who've been hurt by the drought but through good times and bad WOC has been there for the people of Iowa and Illinois you've established high standards of service to the community and it's my hope that those standards will remain as much a part of your tradition as they have been in the past things have changed a bit since 1932 but in a funny way the business stays the same news sports weather information it's a good way to make a living and a good way of serving others so my congratulations to all of you and my warmest wishes for your future success I want to say one more word about farmers that I said earlier today over in Illinois once when I was just out of the mash potato circuit before I ever had this job I was invited to address the Farm Bureau national meeting at Las Vegas, Nevada and on the way to the hall where they were holding their convention some fellow recognized me I spoke from the picture days and said ask me what I was doing in Las Vegas and I told him I was there to speak to the Farm Bureau and he said what's a bunch of farmers doing in Las Vegas and I couldn't resist I said Buster they're in an occupation that makes it Las Vegas crap table look like a guaranteed annual income and it's true our farmers deserve all the help we can give them and we're going to give them that that help there now but thank you all God bless you all I'd like to hand you this photograph who that fellow was we thought we'd give you your own copy to commemorate your days you spent here at WOC and thank you very much for being here today well thank you very much it's a photographic trick I was never that young thank you very much thank you all would you please join me and we'll take you up to the broadcast studio all right audition when he heard sports announcing was an idea of mine that he stood me in front of a microphone when the light came on start broadcasting an imaginary football game I did for about 15 minutes when I came back you want to go play with the dollars and bus there you go so the game I believe they had the flight of Rosedale trophy at that time since come up with this pig they the winner of the game at that time I noticed in your book you said you were hired fired and rehired at WOC well yes then after the several football games that I broadcast were over there was no place regularly for me but they said they thought they there would be and so I went home and I waited until February before I got a call that there wasn't an announcer who on the side would handle sporting events and I came here and one night I feature in which we use the mortuaries organ for they got a kind of a commercial body in their organ but anyway there had been a man that they had been talking to and offering a job to for some time before and he came here and I was told that I was I was out but he came well when he found out that he had thought that there was an actual vacancy and when he found out that no I was leaving he insisted on a contract to guarantee that yes and they wouldn't do it and so they came to me and told me I was un-fired Friday we've had a very good luck of having a couple of rings moon rigging your brother yeah I believe came to work here I don't remember I think he was program director for a time yes yes and then he left the actual broadcasting business to become a vice president of McCann Eric's and advertising agency but yes he had he graduated from college a year after me he's my older brother but in the roaring 20s when he got out of high school I was before the crash everybody seemed the job seemed to be so good that never mind college but when I made it for one year working my way through he decided that well maybe he'd like to do that too and so having played on a championship high school team between myself and the coach who we managed to find a job for him on the campus and he came to college so I became the older brother and I was the sophomore and he was the freshman but then when he got out of school he came over to see me and I ended up getting him some things to do the 30s you know have given us a lot of the programming ideas that we still use today perhaps the most important decade I think you did a football prediction type show in between records more or less invented that or the first time it was done in Des Moines at any rate and yes joined it on that yes as a matter of fact that's how it started that they then gave him something to do he was in the studio and when I was making my predictions on Friday night for the Saturday games now they were going to come out I'd see him shaking his head that I was wrong on one and he was sitting in front of a microphone as you are opposite me just visiting and doing it and I said my brother's here with me and he seems to disagree with that and I asked him I said well who and why do you think that such and such a team is going to win well we finished the program with a conversation between us and then Peter McArthur very generously knowing that he was out of school and out of work gave him a fee for and we turned over the football predictions to him and the scores you did a lot of baseball games a lot of our listeners don't have any idea of doing a baseball game from a ticker tape but you did hundreds yes games here in the Des Moines I think yeah one of the best stories is the poor fellow that was up to hitting all the foul balls well yes I had an operator on the other side of the window and he had the earphones on and was getting the Morse code from the ballpark and with the typewriter he would tap off what the play was send it through to me and I would well it had come have to come through pretty worked down for example he'd hand me a slip of paper that said S1C can't sell any Wheaties saying S1C so I would say Dean comes out of the wind up here comes the pitch and it's a call strike breaking over the corner to a batter and so forth and in this particular day it was night thinning tied up between the Cubs and Cards and Billy Jurgus at bat and I saw Curly typing so I waited and he starts shaking his head and I thought it must be some sensational play but when the slip came to me it says the wires gone dead well in those days there weren't one there wasn't one fellow broadcasting game that there are today the there were a dozen stations doing the same game and I knew that if I said we've got to play a musical interlude I'd lose lose the audience so I had and I had when he handed me this I had a ball in the way to the plate so I had Jurgus foul it off and then I looked back and he just shrugged and so I thought well that's one thing doesn't get in the scorecard so I took a chance and I had Billy foul off another one then he fouled one that only missed being a home run by a foot and then he I described the two kids over behind third that got in a fight over the ball that the foul ball that had gone in the stands and I was having Dean pitch very slowly he was rubbing the rosin bag all the time and shaking off signs and pretty soon I'm really beginning to sweat because I think now if I tell him they'll know that I've been stalling here that this hasn't been true and just then Curly started typing and when he handed me the slip of paper I could hardly broadcast for giggling said Jurgus popped out in the first ball pitched but you know there was no record of such a thing but for days I'd meet people in the street who'd stop me and say is there any record of anyone ever hitting that many successive foul balls and I'd say it was quite a few but I don't think there is a little bit about the drought you've been through southern Illinois and it looks pretty bad down there what's what are what are your plans I don't want to steal your thunder from the upcoming well right now that's on the floor in in in the Congress and we really have a bipartisan group together and Secretary Ling who's with me here our Secretary of Agriculture has been working on this and been working with the people on the hill and there it's a it's a program that is not going to invade and try to rewrite the farm legislation as it is but is to provide for help emergency help to these farmers who are so beset by this drought all over the United States the figures are astonishing and what I saw down there in Illinois just shows that it is disaster and so I think I think we're coming up with a program that will have bipartisan support right now I'm a little edgy as I told some of our press on this trip that you know there are always some legislators that will have a favorite thing that they know they can't get passed by itself and they will try to attach it to a sure thing bill like this as an amendment and some of that's been going on too and I hope that we're successful in stopping that and getting to the business at hand how long do you think to turn this around and get something signed well I think I I think it's a very limited time they they know that there's a there's a time pressure on it and I think it's it's ready to go through and of course I'll sign at the minute it's delivered to me well speaking of time the clock on the wall says we've just about run out of time I on behalf of the staff and management of WOC kick stations we really are delighted that you could be here with us we appreciate it well I'm very pleased to have been here too and I know what it means about getting off on time so I'll try to be I've usually been I'm used to being on the side of the table that you're on asking the questions for next year I thank you I thank you very much president of the United States Ronald Reagan


Welcome to the stock market brief. The objectives of this video is we're going to go through Establishing another penny stock play. We're going to look into the latest news for BFT Who's merging with paysafe and we're also going to look into another penny stock play that still has potential upside And then finally we'll finish with our stock thought of the day And all I ask for in return is to hit that like button and turn on the notification bell Let me know in the comments section down below if you've joined the notification army hit that notification bell like the video Help support the channel. Let's get right into the information here for you Now the first one way we have to mention here is these shocking statistics now We've got these statistics 70.9.9 percent of all non-recyclable waste is generated ends up in landfill 14.1 percent of methane gas emissions come from landfill 30 to 40 percent of US food production is wasted. You've got all these issues here These are environmental issues that do need to be dealt with and are being dealt with as it pertains to our investment So we're going to look into this because this has got a lot of potential here Okay, so the one that we're talking about here today is called by a high-tech global ticker symbol BHTG now, they've recently got a two million new food waste Digester order from 14 ships from the Carnival cruise lines and princess cruises. So this is within the past few weeks Okay, and ultimately they're building their revenue. Okay. Now. What do they do? So they've got technologies for waste management. Okay, so it helps in actually reducing waste They've got Individual or a combination of solutions that will help lower the carbon footprint by reducing or virtually eliminating landfill usage So this is an incredibly high-tech company. It's called bio high-tech global Now the current price the current price is sat at 236. Okay. Take a symbol BHTG Okay, and at the minute you've got these stock stock on this stock on analyst forecast, right? stock analyst forecasts Low of two dollars medium of three dollars fifty and a high of five dollars The two analysts here So this has got a chance to run up as well just based upon the fundamentals of the company and the industry. Okay Now what's the positives of the company huge contracts? They're building a lot of contracts This is going to be a growing industry because there's policies that are being produced that are in essence green policies That are to help involve with these sorts of issues right? We're trying to sort these issues out So again these sorts of companies that are trying to solve this problem are going to grow So it's a growing industry and again. It's a problem that needs to be addressed So as they address this problem, right? That is going to have a big impact on the stock and ultimately some of the best companies are ones that address Huge problems and this is one of them and actually this one's got a lot of potential BHTG now moving on the concerns is that it's volatile So I've got a lot of volatility involved with it because it's a penny stock However, it has had it had its dip and potentially it's going to start to move up again So remember buy a high tech global ticker symbol BHTG What I would say is as it dips to the two dollar range Consider actually buying into this stock again another financial advisor as it dips towards that low two dollars Buy it for that double up. Okay? At least a double up now and it's going to be a medium term player What I want to say is reminder turn on the notification bell It's a little notification bell next to the subscribe button It really does help out the channel. I'm only going to be producing one video a day from now on So you'll get a stock market brief where we go through all sorts of information and the stock market for the day Turn on the notification bell to be informed of that stock market brief Moving on bft news. So pay safe. So bft is ticker symbol bft is merging with pay safe And pay safe is obviously a fintech company, right in a fintech industry, which is a growing industry Now some recent news eso gaming and pay safe card continue long-standing relationship with 2021 partner Now eso gaming is an incredibly Explosive and growing company themselves. So building this relationship and continuing this relationship Is really big for pay safe's revenue going forward. So this is some more great news Constant great news coming out about pay safe Pay safe ticker symbol bft is a 20 to 30 dollar play and beyond right I'm very bullish on this company. It's at 17 dollars 33 You know, what you want to do is if you catch it is it dips even at this level at 17 dollars because I see this Go into 20 to 30 no problem in the next six to 12 months Okay, so but you want to catch it potentially at its dips as well. So anything below 17s 16s And definitely towards the 15 dollar range It's when you want to start loading up on this stock again, I'm not a financial advisor But this one should be and will be Is just a matter of time a 20 to 30 dollar play The next one we're talking about is trans enterix ticker symbol tr xc. Okay. Remember to like the video This is now. Who are they? So they actually have this minimally Invasive surgery and they've got this robotic surgery solution. We've gone for it before We covered this at 0.65 and it's run up massively Okay, some recent news coming out though about trans enterix. Okay It's had an agreement with the amsterdam skill center to establish the second european surgical training site For their robotics systems. This is massive This shows that this company is continuing to expand And at the end of the day the products that they are actually Developing in these robotic systems in these surgical systems is a universal Product meaning that it can be sold sold across the world. Okay, because this can be used no matter what country they're in This can be used by surgeons, right? So it is a universal product which means that it's got untapped market potential in terms of revenue Right. So that's really good stuff from trans enterix Also, we've had a lot of recent investors Essentially buying in and holding this stock as well lots of shares lots of institutional Investors that are very interested in this particular company Now the current price of tr xc is $5 86. Okay It has dipped from its recent highs of $6 95 So you're getting this on a dip. It's now starting to make its improvement upon these recent news Is that news that's coming out but also because it's got a lot of potential I see this as easily a seven to ten dollar play, right? So it when it does dip if you can catch it in the fives in the fours in the freeze Then do buy it especially in the fours load up in the fours I don't know if it'll hit three again Again four to five dollars load up and get ready for this to reach seven to twelve dollars. Again. I'm not a financial advisor Now a bonus. We've got a bonus jiva. Okay. Now. Who are they? So they're filling the tank with renewable energy and they have energy dense liquid hydrocarbons And it'll let us leverage our huge transportation and agriculture systems with renewable energy again, we have this Kind of renewable environmentally friendly play at the start of this video, right? This is another one in terms of renewable energy And this is a favorable environment for these sort of stocks because there is policies being generated That is going to actually influence these stocks in a positive way, right? So you've got to look at the political climate. It's good to news scan Okay Look in this jiva and scandinavia airline system amend agreement to increase offtake of sustainable aviation fuel Valued over a hundred million. Okay, so they've had this recent amendment and agreement. Okay, so Jiva is another player to get in potentially for a medium term on these dips Dips provide opportunities. Ladies and gentlemen, let's go into this the stock stock market crash This is a stock thought of the day part of our stock market briefing for today Now there's a lot of near sayers. There's a lot of doomsday is going around talking about a stock market crash Now, what do I think? Well, I think that actually we're going to see a Particularly within the next sort of six to 12 months I think we're going to see some really good stuff when it comes to the stock market as we come out of the situation We're in and as the vaccines roll out because there's a lot of spending, right? There's going to be a lot of spending power There's going to be a lot of pent up demand people have not been able to do All the stuff that they've been wanting to do right on a on a on a scale that they want to do it So there is going to be a lot of pent up demand for a lot of spending So we're going to see a lot of money circulating around the economy So I wouldn't be worried about one within the next six to 12 months Again, it is inevitable one will happen at some point. I just don't see it happening In this current time frame, right? Okay. I think that this has got ample opportunities for a lot of these stocks to run up And remember I can vest Think about different innovative solutions. We've got the areas that are going to be growing industries We've got renewables. We've got robotics You know, we're looking at players that have got growing industries The reason for this is because you want to get into the companies where it's a growing industry Rather than the companies that are in declining industries because that puts you in a best position To be making money on the stock market. And that's why I do it. It's deliberate. Okay We're looking at growing industries on this channel now Remember to hit the notification bell turn on the notification bell. Please do that It really tells youtube CEO to promote my video, right? So tell the youtube CEO to promote my video by clicking the notification bell Hit the like button as well really does it does appreciate that and thanks for all the support Remember to consider joining the stock club as well down below for some exclusive updates and news Okay, thank you for watching the video and I will see everybody in the next one