Product News, User Stories, Events, and a Chance to Win a Copy of Global Mapper Every Month
For many, summer is a time for relaxing, for taking your foot off the gas, for being lazy. Not at Blue Marble. We are busy preparing for the next major release of Global Mapper in just over a month, planning our hectic autumn travel schedule, and making the final preparations for our 25th anniversary user conference here in Maine. In this edition of Blue Marble Monthly we formally invite you to join us at BMUC. We also hear from Sam Knight about becoming a licensed drone pilot; we discuss the differences between LiDAR and PhoDAR; and we challenge your geographic prowess in the Where in the World Geo-Challenge.
We hereby cordially invite you to Blue Marble’s home state for our User Conference (BMUC), as we continue to celebrate our 25th birthday. Not only will you have a chance to meet other users and learn about the latest software developments, but you’ll also hear from some interesting presenters including Ron Chapple who will be speaking about his work in the Pulitzer Prize-winning project, “The Wall”.
Ready for the kids to go back to school? Sorry, we can’t help you with that, but we recently sent our own Sam Knight back to school to learn what it takes to become a licensed drone operator. As we continue to develop tools for the UAV industry, it is essential that we have the first-hand knowledge of what is required. For Sam, this was a journey into unknown territory.
Blue Marble’s development process has always relied on direct input from users and now you have a chance to be part of that process. Sign up as a beta tester today and we’ll let you know when a beta version of either Global Mapper or Geographic Calculator is available for you to put through its paces.
The Pixels-to-Points tool has caused quite a stir in the UAV industry. Creating a high-density 3D point cloud from a drone would have been unheard of just a few years ago. While the data may look and feel like traditional LiDAR, there are significant differences between the two formats. In a recent blog post, we outlined some pros and cons of each.
In the latest Global Mapper case study, we hear from Michael Frings, General Manager of MFBI Technologies about how the LiDAR Module’s point cloud processing tools played a critical role in planning autobahn truck stops in Germany.
“The fact that the LiDAR Module is so powerful, giving us the ability to handle large point clouds, was the killer argument for us to go with Global Mapper.” – Michael Frings
Simply stated, Global Mapper gives you more functionality for less money. Need proof? Take a look at this short video highlighting some of the terrain processing tools that are available out of the box in Global Mapper. No extensions required.
The geographic sleuths were once again hard at work in July. Most of you were able to identify all five locations in the Where in the World Geo-Challenge. The randomly selected winner of a copy of Global Mapper is Roy Mayo, a land surveyor from Mackay, Mackay, and Peters. If you are one of the handful whose response to the capital city question was, “Haven’t a clue” or words to that effect, check out the correct answers here then click the link below to see if you can do any better in August’s challenge.
The Blue Marble training team will be hitting the road again in October with the next three-day Global Mapper class scheduled for Houston. Typically our Houston classes fill up fast so be sure to sign up as soon as possible to reserve your spot.
“Without a doubt, one of the most informative and enjoyable technical training classes I have ever taken.” – Recent Global Mapper trainee
The development of a wind energy project, big or small, is a complex process that considers several factors. From measuring the actual wind resources in an area to researching potential zoning and ordinance conflicts, it’s not a project that’s easily simplified. But in the beginning stages of planning, whether you’re considering bringing wind energy to your own property or to a larger community, creating a rough visualization of a wind project can be relatively easy.
In this blog entry, we explain the online resources and tools available through Global Mapper that can help estimate resources and terrain modifications, and create a visualization of the preliminary plans of a wind project. We’ll do this by simulating a simplified planning process for a wind farm to arrive at a 3D visualization.
Importing & Analyzing Online Data in Global Mapper
In the planning of an actual wind project, we would want to know the annual average wind energy potential of our property, any legal limitations, and so much more information before even beginning plans for development. But for this simple simulation, our purpose is to introduce how relevant data can be accessed, analyzed, and visualized in Global Mapper.
One online source that we are using is the National Renewable Energy Lab, which is a federally owned and contractor-operated facility that provides data and maps for energy-focused purposes. The data set we are downloading shows the wind energy potential of areas across the state of Maine on a relative scale ranging from values of 0 to 7, with 7 representing the greatest potential.
Running a Simple Query to Target Specific Attribute Values
If we determine the required value for our wind farm plans, we can build a query that targets those specific areas that match our requirement. For instance, if we wanted to find areas that are greater than or equal to the value of 6, we can run a simple query to find those areas within this data set. We can also use the Info tool to explore the wind energy potential of properties within an area.
Applying Color to Visualize Patterns in Data
Another way we can visualize the distribution and range of values in this data set is by applying a color scheme. As we can see, this visualization makes it easy to target those areas of maximum wind potential. If we wanted, we can add a legend to our map to further illustrate what values the colors actually represent. But in this instance, we are interested in visualizing which areas have the highest potential.
We can bring in some additional data to add more context, such as county outlines and town boundaries within the state. If we were looking to develop wind energy in a particular geographic location, for instance in a particular town, we have the background data that shows those boundaries. We can also pull in road data to see the road access to areas being considered for development.
For our simulation, we are choosing an area based on this very quick visualization of the NREL data we imported into Global Mapper.
Accessing Free Terrain and Land Cover Data Through Global Mapper’s Online Data Service
With our area of interest chose, we can find more relevant data through Global Mapper’s free online data service. For our simulation, we are choosing to use a specific area of a 10-meter National Elevation Data (NED) data set that we streamed into the application and exported to a local Global Mapper grid file.
We streamed the data through the online data service, which has a wide range of data options categorized geographically as well as by data type and theme. In this instance, we are interested in terrain data to give us visual context and also a functional base for some of the modification processes we will run later.
We are also interested in land cover data, which will help us visualize the roughness of the terrain. We can find a raster representation of our area under the land cover section in the online data options.
Generating a Roughness Grid from Land Cover Data
Areas with less friction, or surface roughness, are better suited for wind energy production. From our land cover data, we can generate a grid to visualize areas where roughness could reduce energy potential.
To create this roughness grid, we can open locally saved land cover data that we had previously exported from the online data service. Either by right clicking the land cover layer or from our analysis menu, Global Mapper gives us the option to generate a roughness grid and to choose a shader with which to render the grid. For this visualization, we prepared a custom shader beforehand that illustrates the range of roughness through the gradients of a single color – lighter tints representing less roughness, darker shades representing greater roughness.
This visualization allows us to see open areas such as fields or bodies of water that may provide ideal conditions for a wind farm.
Finding Ridge Lines & Isolating a Single Ridge
Another ideal location for a wind farm is on a ridge. We can find a ridge line or high point within the focus area by using the Find Ridge Lines tool, which is a function that works similarly to a watershed analysis, but in reverse. Instead of looking for areas where drainage would accumulate, the tool finds the highest points on our terrain.
After choosing specific parameters, such as the width threshold of the lines, we can see a variety of ridge lines appear in the area visible on our screen. These lines are actually segmented, so in order to isolate a ridge we want, we can combine the segments of that ridge into a single line by selecting the desired segments and using the Combine Features tool.
Plotting Points Along a Ridge to Represent Wind Turbines
With our new ridge line selected, we can generate point features to represent our wind turbines along the ridge by using the Create New Points from Selected Lines tool. We can specify that we want ten vertices to represent ten wind turbines evenly spaced along the ridge, and discard vertices that may have already been part of our original ridge line. Once these parameters are set up, we can see that the ten vertices have been generated that represent the wind turbines in our simulation.
We can then edit these inherently generic point features and choose a Feature. For this simulation, we prepared a custom feature type called Wind Turbine which has a 3D visual representation of a wind turbine assigned to it. This 3D model is actually pre-configured in Global Mapper. We can also edit the attributes of these, but for this simulation, we are only assigning our customized feature type.
Once these points have been edited, we can view them in the 3D Viewer and see the 30-meter height attribute of the 3D models we prepared in advance, and the even spacing between each model along our ridgeline.
Creating Buffers Around Wind Turbine Locations
After we have placed our wind turbines, we can then generate a buffer around each point in preparation for creating flattened areas, or site pads, in the terrain. With our points selected, we can click the Buffer tool in our toolbar. In this simulation, we are choosing to have buffer areas with a 10-meter radius around each of our wind turbines. Once the buffer areas are defined and generated, we see the concentric ring that represents the physical area that will be flattened around each point in the terrain-modification process.
Generating an Elevation Grid from LiDAR Data
In order to generate a more accurate terrain model for our simulation, we can import pre-cropped LiDAR data that was originally streamed from the U.S. Geological Survey through Global Mapper’s online data service. This higher quality elevation data allows us to create more precise modifications and visualization than the lower-resolution terrain data we had originally imported.
To create an elevation grid from this LiDAR point cloud, we can simply click the Elevation Grid button with our LiDAR data layer selected. In this simulation, we are choosing to grid only ground points. Once the new grid has been generated, we can open the Elevation Options to feather, or blend, the edges of our higher quality grid into the lower-resolution terrain data.
Calculating Cut and Fill Values & Creating Pad Sites
With our buffers selected, we can use the Flatten Site Plan tool to flatten those buffer areas of the LiDAR-based elevation grid. The tool calculates the volume of material that must be shifted in order to achieve a flattened site – giving a cut volume and a fill volume. Not only does Global Mapper give these helpful calculations, it also modifies the elevation grid so we can visualize what the cut and fill alterations would look like.
Viewing the Visual Impact of a Project with the View Shed Tool
With one of our wind turbine points selected, we can click the View Shed tool to see the extent at which our wind turbine is visible in the distance. We can base our analysis on the height of our selected wind turbine and on the height of an average person — 2 meters or so. Global Mapper calculates the areas at which our wind turbine will be visible to an average person, and displays these areas in red. This analysis allows us to see the visual impact of our wind farm in the area of development.
Creating a Fly-through of a Wind Energy Project
After setting up our wind turbines and modifying our terrain surface, we can create a 3D fly-through to further visualize the project. We can do this by drawing a line for our flight path using the Digitizer tool. With this line selected, we can set up the specifications of our fly through by using the Create Fly-through tool.
Once we’ve established the height, bank angle, and duration of our flight, we can preview it in the 3D Viewer. If we’re happy with this fly-through, we can also save it from the 3D Viewer. If we aren’t happy with it, we can go back and edit the flight or segments of the flight line again.
Creating a fly-through is a great way to present a project, particularly one like a wind energy project that may need to be proposed to government officials or multiple stakeholders.
Global Mapper: A Robust Tool for Any Development Project
While this simulation involves some behind-the-scenes preparation, such as the creation of a custom point feature type and the cropping of LiDAR data, it’s still a prime example of how simple data visualization and terrain modification can be in Global Mapper. It can be easy, not only in the context of a potential wind energy project, but for any development plan that requires quick access to terrain data and robust digitizing tools.
When we have a new product release like the version 19 of the LiDAR Module that comes with the Pixels-to-Points™ tool, it’s always exciting to see that feature in action for the first time outside of the Blue Marble office. Our South and Central American reseller Laurent Martin from EngeSat was quick to try the new Pixels-to-Points tool for himself using drone data collected by his peer Fabricio Pondian.
The new Pixels-to-Points tool uses the principles of photogrammetry, generating high-density point clouds from overlapping images. It’s a functionality that makes the LiDAR Module a must-have addition to the already powerful Global Mapper, especially for UAV experts.
Below, screenshots captured by Laurent illustrate the simple step-by-step process of creating a point cloud using the Pixels-to-Points tool and some basic point cloud editing using other LiDAR Module tools.
1. Loading drone images into the LiDAR Module
2. Calculating the point cloud from loaded images
3. Viewing the generated point cloud
4. Classifying the point cloud
5. Creating an elevation grid and contours from the point cloud
A quick and easy process
In just a few steps, Laurent was able to create a high-density point cloud from 192 images, reclassify the points, and create a Digital Terrain Model. It’s a prime example of how easy version 19 of the LiDAR Module and the new Pixels-to-Points tool are to use. Check out EngeSat’s full article on the release of LiDAR Module.
Over the past few months, the Blue Marble team has taken on the challenge of collecting drone imagery of our property for testing exciting new features coming soon to Global Mapper. As we began to step into the fairly new commercial UAV field, we realized that there are few assumptions we can make. First of all, there is a learning curve that comes with simply flying a drone to take pictures or collect imagery. There are also a number of legal hurdles, safety concerns, and practical challenges to consider. We needed guidance as we began this initiative, from which we learned a few important lessons.
Drone Flight Concerns and Considerations
Though it appears to be a relatively simple technical challenge, flying a drone has legal and safety considerations that were readily apparent to us but may not be common knowledge. Our first concern was that the Blue Marble headquarters are only about a mile and half, as the crow (or should I say UAV) flies, from the Augusta State Airport. Small planes fly overhead frequently and quite low at times. We were not sure if our building was located near banned airspace. Our second concern was that our property abuts the Hall-Dale elementary school playground. A location that is full of children three or four times a day during business hours. What if we crashed in the school yard while children were at recess? What a PR nightmare.
These concerns about the airport and school property were enough to stall us from simply buying or building a drone, and prompted us to seek guidance. Fortunately for us, the University of Maine at Augusta offers an unmanned aerial vehicle training course taught by certified pilots. A quick call to one of the faculty members for more information resulted in the gentlemen visiting our offices to conduct some test flights and to share a bit of their knowledge with us. We learned a great deal even from our first test.
Setting Up the Drone for Flight
Certified pilots Dan Leclair and Greg Gilda joined us at our office on a beautiful, clear and wind-free day in early October. They confirmed that we could fly over our property with some stipulations, despite our location near a commercial airport. As a precaution, the gentlemen brought with them a hand-held radio to monitor pilot communication in the area as we set up our flight path. They also reassured us that there was little chance of the drone flying off of our property during school recess, since the drone would be programmed and flown on autopilot. Dan and Greg shared a litany of information about how the drones now have homing devices, automatically avoid collisions with structures, and fly on a pre-programmed flight pattern. If, for some reason, it did fly over school property, we could manually fly it back. We also learned that the drone must stay within our view to remain in compliance with Federal Aviation Administration (FAA) regulation, which was no problem. We weren’t flying a large area anyway.
As we chose and programmed the drone flight path with a laptop, the pilots focused on a very common issue for us GIS folks — proper elevation above ground. Since we are located in the descent path of planes landing at the airport, we needed to keep the drone relatively low to avoid any potential, and of course unwanted, collisions with an aircraft. We decided that we would fly at 100 feet above ground on a path that was 1,793 feet long and would take about 3 minutes.
The software the pilots used had some short comings in that the user had to manually select points for the back-and-forth flight path we wanted. As a software guy, this seemed tedious. I would rather draw a quick polygon or box around my area of interest and have that converted to a flight pattern. Perhaps that could be a new feature for Global Mapper Mobile in the future? In this case, our area of interest was our building, so it did not take long to manually designate the flight pattern by selecting waypoints for the drone to fly back and forth. We also set up the drone camera for the light conditions, and programmed it to capture an image every two seconds during the flight. One practical lesson we learned was that a good staging area for the laptop is preferable on a sunny day. We used the back of an SUV for the shade, so we could see the laptop screen and comfortably program the software.
After a bit of work we were ready to fly.
Flying the Drone and Collecting Data
We set the drone on a circular landing pad made of nylon near the back of our property. Greg attached the rotor blades, very carefully I might add. The blades attach rather easily to the quad copter by snapping into place. Dan explained that this step was done before turning the drone on, saying something to the effect of “you don’t want to lose a finger”.
Once the UAV was ready to fly we all stepped back. Dan launched it into the air with the touch of a button or two, and the drone began its pre-programmed flight path. For those experienced pilots, you might notice that we did not discuss ground control. More on that in a later blog entry, I suppose, but these early tests were not including that. The flight went seamlessly and Dan only took over manual control as he brought the drone in for a landing — a personal preference of his.
Everything seemed to progress well but we quickly learned that the drone ended up capturing only video (see below) and not still photography. A few more attempts later, we sadly learned that we would not be able to collect still imagery that day. Apparently there was some incompatibility with the flight planning software and the drone. Not to fear, they agreed to return another day after a software update to collect the imagery. So perhaps the most important lesson of the day was that, despite the best laid plans of mice and men, things do not always go as planned with drone data collection. If you’re interested in learning some more about the foils and follies of drone data collection visit this handy resource: http://knowbeforeyoufly.org/
We’ll have more to share with you on this process and, of course, what we are doing with the data soon.
Patrick Cunningham is the President of Blue Marble Geographics. He has two decades of experience in software development, marketing, sales, consulting, and project management. Under his leadership, Blue Marble has become the world leader in coordinate conversion software (the Geographic Calculator) and low cost GIS software with the 2011 acquisition of Global Mapper. Cunningham is Chair of the Maine GIS Users Group, a state appointed member of the Maine Geolibrary Board, a member of the NEURISA board, a GISP and holds a masters in sociology from the University of New Hampshire.
October’s newsletter focuses on Global Mapper and highlights the new features of recently released version 19. We introduce the latest blog post from Katrina Schweikert, one of Blue Marble’s Applications Specialists, in which she describes how Global Mapper helped resolve a drainage problem around her house. We also hear from Global Mapper Guru, Mike Childs who recently contributed to the Blue Marble blog with an entry in which he eulogizes about one of his favorite subjects: free online data. Finally, and as always, we challenge your geographic aptitude in the Where in the World Geo-Challenge with a brand new copy of Global Mapper v19 up for grabs for the lucky winner.
2017 marks twenty years since the aforementioned Mike Childs responded to a request from the USGS to develop a simple viewing tool for their burgeoning collection of public-domain datasets. In the intervening years, Global Mapper, into which the freeware application would eventually evolve, has established itself as a key player in the worldwide geospatial industry. Late last month, we proudly unveiled version 19 of this remarkable software with upgrades and improvements throughout the application.
Significant new functionality includes:
A new table-based attribute querying and editing tool
An innovative interactive utility for adjusting the terrain hillshade
Drag and drop window docking for improved multiview management
New support for online data for Canada and all 50 U.S. states
One of the benefits of the increased availability of local LiDAR data is the prospect of conducting high-precision analysis of terrain variability, especially in the context of drainage. This was the impetus behind a project recently undertaken by Blue Marble’s Katrina Schweikert. Having recently purchased a house close to Blue Marble’s headquarters in Hallowell, Maine, Katrina soon found out that there was a stream literally flowing through her unfinished basement. Read how Global Mapper was used to create a simulated model illustrating how the problem could be resolved.
In a world in which streaming has become the norm, it is not surprising that much of the map data that we consume is increasingly being delivered through the internet. The benefits are obvious: real time updates and no local storage requirements. Did you know that Global Mapper includes easy access to immeasurable quantities of data from countless sources that are readily, and often freely, available within the Online Data component of the software? For the Global Mapper 19 release, we expanded the built-in online data services to include data for all 50 U.S. states and several Canadian provinces. Recently, we convinced Mike Childs to take a break from coding so he could share some insights into the online data options in Global Mapper.
On Thursday, October 12th, Blue Marble Application Specialists will be conducting a live webinar showcasing the highlights of the Global Mapper 19 release. This hour-long presentation is scheduled to begin at 2:00 p.m. (U.S. Eastern Time), and it will provide an opportunity to see the latest tools and to ask questions about the new functionality. Space is limited, and registration is required so be sure to sign up today.
Thank you to all who submitted an entry in September’s Where in the World Geo-Challenge. Check out the answers here. The randomly drawn winner and the recipient of a copy of Global Mapper is Ray Romano, Chief Designer at Persu Property Fund Pty Ltd in Australia. This month, another copy of Global Mapper is being offered to the winner so why not take the challenge.
Thinking of heading to the Blue Marble User Conference in Los Angeles? Now there’s another reason for you to sign up. Several attendees will be given a once-in-a-lifetime opportunity to tour the city from the air. Scheduled for November 15 and held in partnership with Blue Marble partner, GEO1, the event will include an onsite drawing to select the lucky participants. After the close of the meeting, the winners will accompany GEO1 technicians on a helicopter ride as they simulate their aerial data collection workflow while flying over the famous landmarks of LA. Space is limited and the registration deadline to be included in the drawing is October 13, so sign up today.
I recently purchased a house in Hallowell, Maine, where the Blue Marble Geographics office is located. Hallowell is a teeny tiny city with lots of historic homes that sit on a rather large hill overlooking the Kennebec River. One aspect of my historic fixer-upper property that needs some work is the drainage. I have decided to explore drainage solutions by estimating property modifications using Global Mapper and publicly available data.
Finding Data in Global Mapper
The first step is finding the right data. So, to start with, I use the search tool in Global Mapper to create a point feature at my address. I also change the projection to something that works for the area, such as the State Plane projection for Maine. Next, with the online data tool, I easily connect to the US NAIP high-resolution imagery.
The State of Maine GIS site, MEGIS, has a number of other helpful layers that can be added. Vector data can be downloaded as shapefiles using a web browser and can be loaded into Global Mapper by simply dragging the files into the software. Like a lot of states, Maine’s GIS site also offers web services that can be added to the list of online sources in the software. For my project, I need the outline of my individual property, so, I first download the property parcels layer for the entire city and drag the downloaded zip file onto the map to import it. I use the Digitizer to select my property and then use CTRL+C and CTRL+V to copy it to a new layer.
What I really need for this analysis is some high-resolution terrain data, and luckily my property is close enough to the coast to be included in the NOAA coastal LiDAR data. I use the online data source tool again to search the Digital Coast for data that matches my current map bounds.
Cleaning up LiDAR Data in Global Mapper
A quick look at the LiDAR data confirms that it contains preexisting point classifications, including a lot of points marked as noise that look fine to me.
My first task is to clean up and then improve the classification with the Automatic Classification tools. Using the Path Profile tool, which renders a lateral view of the point cloud data, I can clean the data up even more with some manual editing, since it is such a small area that I am interested in.
Applying Colors to a Point Cloud in Global Mapper
The Maine GIS site also provides 4-band ortho-imagery that was collected in a similar time frame to the publicly available LiDAR data. From that imagery, I apply the RGB color values to my point cloud using the Apply Color tool, which improves the point cloud analysis capability and creates an interesting visual perspective of the data. The imagery is leaf-off, so it does not match up perfectly with the point cloud, but it adds some detail that can help with identification and analysis.
Estimating Property Modifications with Global Mapper
After creating a terrain surface from the classified and filtered LiDAR data, I estimate the modifications that are needed to improve the drainage around the base of the house.
Using the new Breakline and Hydro-flattening tools, I create a flattened foundation by applying a height to the buildings in the terrain modeling process. Next, using the Watershed tool, I see the current drainage problem.
By using the digitizer tool and calculating the elevations, I create a line for a back drainage that would allow water to flow from start to finish. Then using buffering and site planning tools, I create a modified terrain surface that will calculate the necessary terrain modification.
Finally, I measure the volume of soil to be removed, and calculate the benching and terracing for the back retaining wall.
After the modification, the drainage from the back of the house to the road is much better. I am also glad to have some warning of just how much dirt removal a plan like this will involve.
I am still considering options for creating a small pond, ending with a tile drain, and many other possibilities. But thanks to freely available data and some quick calculating and visualization with Global Mapper, I have a much better sense of the scope of this project and what the final results might look like.
Katrina Schweikert is an Application Specialist at Blue Marble Geographics. She provides technical support, training, and software documentation. Katrina has over five years of professional experience in GIS, a GIS certificate from University of Wisconsin-Madison, and a degree in Geography from Middlebury College. She is happy to be working in technology back in her home state, as well as meeting GIS users across the globe.
DroneMapper is one of the success stories in the fledgling field of UAV data collection and processing. After several decades of experience working in the aerospace industry, CEO Pierre Stoermer was quick to recognize the potential for drones as a viable low-cost alternative to manned aircraft for this purpose. Serving customers in a wide variety of industries and business sectors, including agriculture and mining, Stoermer recognized the importance of efficient data management and processing, both for their internal processes and for the value added products that the company delivers to their customers. This lead Stoermer to Global Mapper for UAV data processing.
Like most small businesses, one of the main challenges faced by DroneMapper was finding tools that provide the right level of functionality but that fit within the company’s inevitable budgetary constraints. As with any business expenditure, investing in technology must bring some degree of assurance that there will be a return on this investment. Traditional GIS applications are notoriously complex and cumbersome, requiring an inordinate amount of time and a high degree of training and expertise to effectively operate, which significantly impacts the overall cost of any project.
Without a dedicated GIS technician at DroneMapper, the operation and maintenance of the GIS data processing workflow is the responsibility of the current staff. The selected software must therefore be easy to learn and easy to apply.
DroneMapper has an expanding client and customer base, whose needs and requirements necessitate an efficient data processing platform that can generate deliverables in a wide variety of formats and with varying specifications.
Unlike most companies who, when faced with a technology decision, evaluate multiple software alternatives, DroneMapper found Global Mapper first and has stuck with it. The range of functionality in tandem with the unparalleled format support were enough to convince them that Global Mapper was an ideal solution for their needs.
This versatile, fully functional GIS application has been steadily gaining an eager and dedicated worldwide following among geospatial professionals. Recent development work has focused on the visualization and analysis of 3D data, especially LiDAR and other point cloud formats. According to Stoermer, “Global Mapper provides an outstanding set of tools for efficiently assisting us and our client base in an affordable manner”.
GLOBAL MAPPER FOR DATA PROCESSING
Global Mapper is at the core of most of DroneMapper’s data processing workflows. The company employs the software’s intuitive 2D and 3D visualization tools to provide initial quality control of ortho-rectified imagery and DEMs.
Further along the production line, Global Mapper is the go-to application for filtering point cloud data to create accurate, bare-earth Digital Terrain Models. These DTMs allow the company to generate customized contour lines that can be exported in shapefile or virtually any other vector format. Global Mapper’s powerful cut and fill analysis capability and volumetric calculation tools are used to precisely measure volumes, providing DroneMapper’s clients in a variety of industries with site-specific intelligence that is essential for efficient project management.
Employing Global Mapper’s powerful raster calculation functionality, DroneMapper is able to quickly and accurately analyze vegetation patterns by generating NDVI grids. This provides an invaluable service to clients in the agriculture and forestry industries.
DroneMapper’s decision to settle on Global Mapper for its spatial data management allows the company to perform both internal data processing as well as customer services on one powerful and easy-to-use platform. The application’s SDK will also provide an opportunity for future custom development projects and will allow DroneMapper to adapt Global Mapper to more specifically meet their needs.
ABOUT GLOBAL MAPPER
Global Mapper is an affordable and easy-to-use GIS application that offers access to an unparalleled variety of spatial datasets and provides just the right level of functionality to satisfy both experienced GIS professionals and beginning users. Equally well suited as a standalone spatial data management tool and as an integral component of an enterprise-wide GIS, Global Mapper is a must-have for anyone who deals with maps or spatial data. The supplementary LiDAR Module provides a powerful set of tools for managing point cloud datasets, including automatic point classification and feature extraction.
ABOUT BLUE MARBLE GEOGRAPHICS
Trusted by thousands of GIS professionals around the world, Blue Marble Geographics is a leading developer of software products and services for geospatial data conversion and GIS. Pioneering work in geomatics and spatial data conversion quickly established this Maine-based company as a key player in the GIS software field. Today’s professionals turn to Blue Marble for Global Mapper, a low-cost, easy-to-use yet powerful GIS software tool. Blue Marble is known for coordinate conversion and file format expertise and is the developer of The Geographic Calculator, GeoCalc SDK, Global Mapper, LiDAR Module for Global Mapper, and the Global Mapper SDK.