QGIS in the sky with Diamonds (OpenDroneMap)

we're at one of the local chattanooga parks working on a drone survey and today we're going to take you up in the sky to show you the basics of how easy it is to actually take your drone up do a quick ortho mosaic map and take a 3d model of whatever image you might want to take so we've got our phantom 3 pro here it's got 4k resolution for the video and 12 megapixels for the picture for the images we've also got the standard controller that comes with it nothing fancy i'm actually using just my cell phone with it it doesn't take any fancy tablet just plug it up and straight and go from there so we've got our setup for our ground control point units we're going to do four of them out here today we're going to set them at the different corners of the site and we've also got our gps unit that we're going to use to take high accuracy drone control points so i've got one of my ground control point units here i'm gonna put the gps unit right in the middle of it so that i can get an accurate measurement and what it does is it gives the drone a relative area so that the elevation based off the gps unit can tell it exactly where it is in real time you can give it elevation data and it can also give it horizontal accuracy so we've got one point recorded here and we're going to do three more going around the whole site just so that we can have the whole site contained and know exactly the elevation that we're going to be working with [Music] [Music] let the gps get it actually locked onto all the satellites that are here to make sure that it's actually doing what we needed to do all right so i've got the mission loaded into the drone i'm going to send it up it should be an autonomous flight from there [Music] [Music] [Music] [Music] [Music] so [Music] [Music] [Music] so [Music] [Music] [Music] [Music] [Music] [Music] oh [Music] foreign we've got the data syncing up right now to the drone well after this we're going to take you back into the office so that we can get it all uploaded we're going to turn it into a 3d image and we'll also turn into a 2d ortho mosaic so we're going to start off by importing the images with the elevation metadata into web odm [Music] here we can change a few of the options to optimize the quality of the process data i have my images set to 1000 pixels because with 32 gigabytes of ram my system can only process about 60 images at a time the developer recommended that with web odm at least four gigabytes of ram is necessary to run the software but in my case 16 gigabytes weren't enough along with the 16 gigabytes of extra memory i'm currently running an i7 intel processor with an nvidia geforce gtx 950 graphics card as the images take some time to resize and process i will skip ahead [Music] okay it took about 24 minutes to complete and let's check out the ortho images that were generated there are a few small images that we can correct in qgis but ultimately this map turned out well we can clearly see what's going on at the site and our image is higher quality and more up to date than what google satellites depict there are a few neat things you can do with the tools on the right side we can measure length area and volume all of which can be exported as a geojson which can be imported into qgis [Music] what's [Music] [Music] [Music] it's also much easier to create contours from the day which will later import into qgis here we can also take a linear measurement from the two different points of elevation [Music] there's also a plug-in that allows you to analyze plant health so if you work in the agricultural field and your drone has a multi-spectral sensor you have additional options here is the digital surface model which is created by combining the locational data and the aerial imagery to generate a model that can display the elevation above mean sea level next we can see what our 3d model looks like [Music] [Music] the grid above the model depicts the location of the camera at the time the photo was taken you can click on the icon and it will show you the image associated with it the software can be beneficial for anyone working with crime scenes emergency relief construction asset management and plenty of other opportunities in the agricultural world there are a few other options here on the left that you can mess around with and some will allow you to manipulate the size of the point cloud which will allow you to analyze your data in higher quality there are a few other options here on the left hand side which you can feel free to dive into i didn't say it before but this software is free you have to go through a few hurdles to install it but it is free now that we've deselected the texture model we can accurately see how the cloud point model changes once we change the nodes [Music] [Music] there are some clear holes in the model and according to one of developers these can be eliminated by performing multiple flights [Music] this [Music] we can clean up the area of interest with the clipping tool this will allow us to eliminate some of the messier sections of the model without losing quality next we will skip over to qgis where we will make a shape file from the text that we created from the ground control points that we collected in the field [Music] with the use of our measurement tool we can tell that we're about 11 feet off so we will try to geo-reference the area to align the map now that we can tell that we're about 11 feet off the google satellite image we can geo-reference the ortho map [Music] if done correctly we should have an accurate map that is aligned to the ground control points lastly we can drag over the contours that we exported from web odm to create a digital surface model which can be used to create hill shades and an elevation model the last thing we're going to do is label the values of the appropriate data to display what is above mcl with a simple drone web odm and qgis we can create our own digital surface models and generate up-to-date orthomosaic images in real time that was excellent thanks jeremy for that um there's a couple of questions we're asked uh what type of gps unit were you actually using when you're capturing those ground control points so the rover that i'm using is the carlson brx5 and i'm using a trimble nomad to collect the actual points excellent um and what about the mission planning app that you're using on your phone um which one were you using there i saw someone mention that it was pix4d capture that is correct okay and i also saw that someone asked a question about the uh the ground station pro app i've heard a lot of good things about that one too i haven't tried it yet and i can't speak on it but yeah i have heard that it's pretty beneficial for that program also so what would you say like if you're going to use something one of the commercial software versus uh odm um what are the limits of odm compared to something like let's say pix4d oh basically it's just a lot of the like i'd say some of the more commercial softwares are a little easier to use it's a little easier on the user side and hardware side as you notice when i was processing some of my data there was a lot that i couldn't do and since then i've learned that there's a few settings that you can play around with but it's a little bit more intuitive on the commercial side for some of the other products right you're a little more streamlined yeah um so there was that question about the ground station pro versus um other things like pix4d capture and all that um have you used other capture tools have you sort of tried any uh different ones before you settled on using uh just pix4dcapture i've tried litchi and there was one other one that i could have tried but i can't remember it off the top of my head but i'm always into learning more about these that's just the easiest one that i've found so far but i have been watching a lot more videos specifically on that ground station pro and it's funny that they did mention that one that'll probably be the next one i get the two yeah it looks pretty cool um how is uh there's one question how is volume measured uh so it from automatic or manually entered base of the uh elevations so the volume is measured it's calculated automatically through the onboard gps and the barometer and that provides the elevation for the mean seat level so you don't have to put anything in besides how high you actually want the drone to go up okay interesting i noticed you were geo-referencing um uh the ortho that you brought into qgis to the to the ground control points does that not happen within the software it's actually generating that that ortho you can actually do it that way that's something that i've been playing around with it there is an onboard uh app for web odm where you can create your own ground control points and just have that on an ongoing collection of them so i can go back to the ones that i just did there and add that and add a few more points to just a global map that i'd be creating so you can have your own ground control points pre-established that's awesome um well this has been a great presentation um i think we have one more um how well does a filtering algorithm work to determine the ground um that's a little difficult especially since it just does digital surface models i've heard that when you're using lidar it's a little bit easier to get terrain so that's one that i can't really speak on okay have you looked into uh into web odm lightning for cloud-based solutions using uh web odm yes that's another one that i've played around there that once you get the software up and running on your local side they offer that to you for free and that's just another one that i just haven't played around with much i've tried to dump a few pictures into it but i found a little bit more success just on my personal system it but i've seen a lot of people process a lot of good data with the lightning version of it that's awesome and a question about drones um have you used any fixed wings uh oh no no not yet that's something i would love to get into especially for just the amount of data that you can actually collect to not like let alone that steps up your your whole profit margin it's a it's a great opportunity to dive into those especially now yeah yeah well jeremy this has been excellent um this is a subject that i always like to talk about um and thanks for presenting thanks for being a part of the conference not a problem thanks you all for joining me it's been a wonderful experience thank you

Channel: QGIS North America

Views: 1,647

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Id: GcN8XTgEjHo

Length: 23min 5sec (1385 seconds)

Published: Sat Aug 01 2020