If you are working with any type of point cloud data, the Global Mapper Lidar Module is a powerful, must-have add-on to the desktop application. One of the standout features of the Module is its ability to automatically identify and apply the appropriate ASPRS classification to each point with a few clicks. This blog will walk through the steps required to automatically classify a point cloud.
Global Mapper’s Lidar auto-classification tools provide the means to identify ground, buildings, utility lines and poles, vegetation, and noise points within an unclassified point cloud. Each of the classification processes requires the presence of ground points in the point cloud so this is a good place to start. If necessary, noise classification can be used to automatically identify any points that are beyond the expected elevation range when compared to those in close proximity. This cleanup tool is used to remove obvious anomalies in the data. At this stage, buildings and trees can be classified and if the point cloud is of sufficient density, there are even tools to classify above-ground utility lines and poles.
When you begin the auto-classification process and load your point cloud into the software, it is important to know that Global Mapper has the ability to display points in several different ways including by RGB value (if present), intensity, and classification. For this process, we will color the Lidar by classification. If your point cloud has never been classified, it will look similar to this:
After the data is loaded, you are ready to classify ground points. To do this, locate the Auto-Classify Ground Points button in the toolbar. This tool brings up the Automatic Classification of Ground Points settings window. These values will need to be adjusted based on the local terrain, the range of elevation values in the data set, user-defined preferences for filtering points prior to auto-classification, or known features in the landscape. This will help to optimize the output. When you have applied the necessary settings, click the OK button to initiate the process.
If necessary, your next step will be to click the Auto-Classify Noise Points button. Identifying previously unclassified noise points will clean up the point cloud and improve further classification results.
At this stage, the non-ground points or points representing buildings and vegetation, are ready to be identified and classified. In the Lidar module, buildings and vegetation are classified using the same algorithm, and the dialog box can be accessed using the Auto-classify Buildings and Vegetation button. The parameters required in the classification process describe the expected structure of buildings and trees within the point cloud. These values can be adjusted to account for the characteristics of your specific point cloud.
The Auto-Classify Powerline and Pole points button can automatically detect above-ground cables, and/or pole-like objects, such as utility poles, in high-density Lidar data with at least 20 points /m2. This density is typical of terrestrial Lidar and mobile Lidar point clouds. While synthetic Lidar (photogenerated Lidar) may also have this density, it does not typically have the reconstruction detail to precisely identify power lines or pole-like objects. Similar to the other classification tools, this process looks for structures resembling powerlines or poles based on user settings.
After you have classified your point cloud, you can begin analyzing the data further. This may involve creating a terrain model or extracting vector features from the classified point cloud.
Keep an eye out for our upcoming blog, focused on the lidar QC process!
Billy Noble, Applications Specialist at Blue Marble Geographics, answers questions that come into the technical support inbox. In this video, Billy demonstrates how to find the coordinates of a point in a loaded point cloud in LAS format using Global Mapper.
Interim releases of Global Mapper typically offer the Blue Marble development staff an opportunity to fine-tune some of the functionality that was introduced in the most recent major release. While the upcoming version 20.1 release includes its fair share of performance improvements and code tweaks, it also offers a surprising collection of new tools covering everything from the Digitizer to scripting. With the release just a few weeks away and the final edits being applied to the underlying code, we take a sneak peek at some of the more significant additions.
Path Profile Zooming
The importance of Global Mapper’s Path Profile tool has grown immensely since the introduction of the LiDAR Module. While it is most commonly used to render a cutaway view of a terrain layer, it also displays a cross-sectional view of points in a point cloud and can used to edit or delete selected points. New in version 20.1 is the option to zoom in the profile view – a function that ensures that even the most densely-spaced points can now be individually identified and selected.
Continuing the theme of improvements to the Path Profile tool, a new option has been added to more clearly define the individual surfaces when rendering profile lines for multiple layers. A legend, which can be placed anywhere within the Path Profile window, shows each line style along with the corresponding surface layer. This is particularly useful when visualizing and analyzing multiple layers representing change over time.
Global Mapper’s projection management is universally acknowledged for its simplicity. Load any layer and the inherent projection parameters associated with the layer define the display projection. Each successive layer is then automatically reprojected on the fly to adhere to this system. No questions asked. Change the display projection and each exported layer will ultimately include these new projection parameters. In Global Mapper 20.1, an even simpler approach to projection management can be enabled with the assignment of a universal default projection. With this new configuration setting, a specified projection will be automatically applied when creating or importing any new layer.
Vector Gap Closing
When creating abutting polygons, Global Mapper’s snapping functionality helps ensure that the features’ shared vertices are a perfect match, without overlap or gaps. When importing external files, however, such precise geometric integrity is not always the case. A new Digitizer tool available in version 20.1 can be used to automatically correct these errors. The “Close Gaps Between Adjacent Features …” function allows a maximum distance threshold to be established allowing the boundary lines to be perfectly matched.
LiDAR Proximity Selection
A common use case in point cloud or LiDAR analysis is the detection of encroachment, and a new point selection option in the LiDAR Module provides this functionality to Global Mapper users. The “Select LiDAR by Distance” tool can be used to specify a particular point type (such as powerline), a distance threshold, and a target point type (such as high vegetation). In this case, running the search will highlight vegetation points that are encroaching within a defined distance of powerlines. This tool can be applied in many other workflows and includes the option to detect points within the proximity of 3D line features instead of points.
Product News, User Stories, Events, and a Chance to Win a Copy of Global Mapper Every Month
Can you believe it’s 2019 already? This year promises to be an exciting one for Blue Marble with ambitious plans already in place for the next generation of both Global Mapper and Geographic Calculator. The new year also sees us take a fresh approach to our annual conference. Blue Marble GeoTalks, scheduled for March 21, will be a daylong online gathering of geospatial enthusiasts who share a common interest in Blue Marble’s spatial technology. See below for more details and registration information.
Also in this month’s newsletter we explore the simple process for creating a 3D mesh from a point cloud in Global Mapper, we introduce mapcodes, we invite you to join us for a live webinar on the latest features and functions of Geographic Calculator, and as always, we gauge your geographic prowess in the Where in the World Geo-Challenge.
One of the inherent limitations of hosting a user conference at a specific location is the logistical and financial burden placed on both hosts and attendees. The solution? Move it online. Scheduled for March 21, Blue Marble GeoTalks will provide a forum for the worldwide Blue Marble community to gather for an exchange of ideas, to hear from a variety of industry experts, and to learn about what’s new and what’s upcoming from Blue Marble.
While most of us are accustomed to conveying location based on a street number, street name, city, etc., in many parts of the world this information is simply not available. This inevitably causes problems for government officials, emergency responders, and many others. To address this disparity, a system of alphanumeric mapcodes was developed in 2001 creating a simple and universally accepted spatial reference system for the entire world. Global Mapper’s search function supports the entry of a mapcode to locate a specific point or to generate the corresponding coordinates. If you want to try it for yourself, select Find Address from Global Mapper’s Search menu and enter the following: “ME XBY.JS”. Add some online imagery and you should see the Blue Marble headquarters in Hallowell, Maine.
One of the highlights of the version 20 release of Global Mapper is a new tool for generating a 3D mesh or model from a selection of LiDAR or other point cloud points. The resulting layer contains a complex vector feature comprised of an array of abutting triangles that, when displayed in Global Mapper’s 3D Viewer, take the form of a realistic three-dimensional representation of the object. As is typical with Global Mapper, the process of creating a 3D mesh is remarkably straightforward.
Due to unforeseen circumstances, the What’s New in Geographic Calculator 2019 webinar, which had been scheduled for January 10, has been moved to January 17. Those who registered should have received an email with the updated information and we hope you can still make it to this live presentation. The good news is that there is still time to sign up. Join us as we explore the latest updates to the software’s data processing tools and to the underlying geodetic datasource.
Over the last two years, hundreds of colleges and universities throughout North America have taken advantage of Blue Marble’s free academic licensing program and have been able to introduce more and more students to the broad field of geospatial technology. To recognize and reward some of the creative work being done in labs and classrooms, Blue Marble is offering a $500 scholarship to a student who has used Global Mapper in their field of study. The deadline for submission has just been extended to the end of January, which means there is still time to share the details of your project.
Someone, who has obviously been participating in the Geo-Challenge for some time, recently inquired if we were beginning to run out of countries or capitals. Fear not, we have a long way to go, and if the need arises, we can ultimately recycle what we’ve used before. So it pays to follow along.
January’s winner and recipient of a copy of Global Mapper is Nirmalya Maitra from Riddhi Management Services in Kolkata, India. To see how well you fared, click here and to take a shot at January’s challenge click the link below.
After our recent announcement about the tentative locations for Global Mapper training classes in 2019, we were inundated with inquiries. Registration is now open for the classes in Orlando in March, Denver in April, and Ottawa in June. Space is limited so be sure to reserve a slot at your preferred venue as soon as possible.
For those with a more immediate need for training, there is still space in the three-day class to be conducted at Blue Marble’s headquarters in Maine from January 29 – 31.
If you are like most people, it’s unlikely that you take the time to read the plethora of dialog boxes that appear when installing software but if you did, you might actually learn some interesting details about the application. In the case of Global Mapper, one of the windows that beckons for your attention is the “What’s New…” list. While we understand the eagerness of most users to repeatedly click the Next button and finish the installation process so they can “play” with their new toy, it might be worth pausing on this one for just a moment.
Blue Marble’s development process requires each new tool, functional upgrade, bug fix, and performance improvement to be meticulously documented and archived. What you are presented within the “What’s New …” list is an abbreviated version of this archive. In a sense, the list offers a summary report of what the development staff has been working on over the preceding weeks and months. It can make for some interesting reading.
For the soon-to-be-released Global Mapper version 20, there are more than 200 individual changes that have been noted. Given the dynamic nature of the development process, this number will likely increase by the actual date of release.
For those of you who do not have the time or the wherewithal to peruse the entire list, what follows, in no particular order, is a summary of five of the most significant new features that you will find in Global Mapper 20.
1) Improvements to the Map Layout function
One of the surprising findings from last year’s Global Mapper user survey was the importance of map printing. For years, the prevailing opinion has been that printed maps would eventually bite the proverbial dust, but this has not been the case. Global Mapper’s Map Layout functionality was completely redesigned a couple of years ago and it has been undergoing continual improvements ever since. For this release we have introduced a new tool for creating a map book or atlas from selected features; a new option to filter the legend by layer; and a custom macro function that allows you to create title blocks with name, company, etc. Suffice to say, if your workflow requires the printing of maps, Global Mapper 20 has all the tools you need.
2) Support for Windows Tablets with improved touchscreen functionality
While Global Mapper has always been supported on Windows-based touchscreen devices, certain actions and UI procedures have been difficult. In version 20, there have been significant improvements that allow a wider range of actions to be controlled with your fingers. Pinching to zoom the map is now supported as well as swiping with two fingers to pan the map in both the 2D and 3D views. Previous enhancements to support touchscreen interaction include, touching the screen to activate contextual menus and tapping on the screen with any of the digitizing tools enabled to place points or vertices.
3) Ability to create a point cloud or flattened orthoimage from a 3D mesh or model
Creating a point cloud, similar in structure to LiDAR data, from an existing 3D model or mesh may seem like an inverted procedure. It is the reverse of what would be considered a normal workflow. It does, however, open up a number of interesting 3D analysis workflows, in which the source data is an existing 3D mesh. For instance, the point cloud created from the model can be readily classified, edited, and filtered using Global Mapper’s LiDAR processing tools, and points representing ground can be used to create a DTM. Version 20 of Global Mapper not only offers this new point cloud creation tool but it also offers the option to create a flattened orthoimage derived from the colors in the mesh.
4) Speed improvements when loading large vector files
Citing any type of performance improvement as a new version highlight is often perceived as subjective and difficult to quantify or validate. In the case of Global Mapper 20, the improved speed when working with larger vector files is tangible. During our internal testing, the load time for a specific large shapefile was measured at just over four minutes in version 19 of Global Mapper. In version 20, on the same multi-core machine, the load time was shaved to 2.5 seconds. That’s almost 100 times faster. Improvements have also been made to the rendering of large vector files in the 3D View.
5) Eyedropper tool for accurate color selection
Perhaps not a major functional upgrade, however, when considered in the context of one of the author’s favorite Global Mapper tools, it is a godsend. The tool in question is a feature informally referred to as “Raster Vectorization” or, to give its proper name, “Create Area Features from Equal Values”. The premise is simple: By identifying a specific color in an image, you can create polygons that enclose the extent of the pixels of that color or you can expand the tolerance to accommodate similar colors. Previously, fine-tuning the color selection involved manually entering the required RGB values. In version 20, there now is a color picker option, with which you simply click the section of the raster image that you want to extract. This color picker is also available when choosing a transparent color for a raster layer.
And a couple of bonus highlights for LiDAR Module users:
Tool for creating a 3D model or mesh from selected LiDAR points
The underlying technology that enables the creation of an orthoimage was incorporated into Global Mapper within the Pixels to Points tool, introduced in the LiDAR Module in version 19. As a byproduct of the photogrammetric 3D point cloud generation process, there is also an option to generate a flattened raster representation of the area in question. Previously, the only way to create either of these data outputs was from drone images. With version 20 of the LiDAR Module, there is now an option to create a mesh or orthoimage from selected points in an existing LiDAR file or point cloud.
Option to spatially thin a point cloud
The LiDAR Module offers an extensive array of point cloud filtering and editing tools. Among the options are: deleting selected points, geographically cropping a point cloud, removal of noise points, manual or automatic reclassification of points, and horizontal or vertical shifting of the point cloud layer. Added to this list in version 20 is a new function to spatially thin a LiDAR layer. This tool allows the user to specify a target resolution for the point cloud which eliminates redundancy, reduces file size, and improves performance.
Version 20 Coming in Mid September
Global Mapper 20 is scheduled for release in the second half of September 2018. Check your inbox or visit bluemarblegeo.com to find out when it is available for download. As always, you can activate a free two-week trial and if you have time, check out the full What’s New list to see what improvements have been made to your favorite Global Mapper tools.
Cultivating a sense of moral responsibility for the environment involves more than public service announcements — it’s based on scientific knowledge.
The U.S. Fish and Wildlife Service works to conserve and protect natural resources, such as species on the federal endangered list, through observing changes in the environment and what those changes impact. As one of the bureaus of the Department of Interior, the agency chooses Global Mapper to assist in this environmental research.
The bureau’s Spatial Ecologist Paul A. Lang specifically monitors the habitat of three subspecies of beach mice:
St. Andrew beach mouse (Peromyscus polionotus peninsularis)
The mice inhabit the coastal dune ecosystem along the northern Gulf Coast of Mexico in the panhandle of Florida – an area vulnerable to impacts due to tropical storm events and sea level rise. Lang is interested in gaining a greater understanding of the habitat for the long-term conservation of the beach mice. Lang uses Digital Terrain Models (DTMs) for 2015 in order to investigate sea level changes.
A Lack of High Resoultion DTMs
The most important consideration when embarking
on any GIS project is ensuring access to appropriate and clean data.
One of the challenges that Lang has faced in his work is the lack of a high resolution DTMs of the area in which the mice live for certain years. As a solution, Lang accessed publicly available Topobathy LiDAR data from the U.S. Army Corp of Engineers (USACE). This high density point cloud data was collected aerially and was obtained directly from the USACE and from the National Oceanic and Atmospheric Administration’s (NOAA) data clearinghouse.
In order to integrate this data into his research, Lang needed software that had the tools for generating accurate DTMs from the LiDAR data without a steep learning curve.
Generating DTMs in Global Mapper
Lang chose to use Global Mapper and the accompanying LiDAR Module for his habitat mapping.
With a few simple steps, he generated the high resolution DTMs he needed for his research. First, he imported the .las files into Global Mapper and cropped them down to the area of focus. After visualizing and examining the characteristics and metadata of the point clouds in the software, Lang determined that further classification and clean-up was unnecessary. Second, he examined the inherent statistics of the data to get a better sense of the resolution he could create in the resulting DTMs. Third, he used the Create Elevation Grid tool to generate several DTMs that tested different values of No Data distance in order to fill gaps in the point clouds. After these tests, Lang arrived at high resolution DTMs based on the LiDAR data he obtained from the USACE.
From there, Lang was able to use the Simulate Water Level Rise functionality in Global Mapper to visualize potential water inundation on the mice habitat.
The Benefits of Global Mapper
According to Lang, he chose Global Mapper for his analysis because he didn’t find other software as “straight-forward” for processing LiDAR data. Global Mapper’s easy-to-use platform allowed Lang to quickly and accurately generate the high resolution DTM he needed without taking time away from his research.
Global Mapper allows for easy visualization, editing, and filtering of LiDAR and other point cloud datasets. The addition of the LiDAR Module, expands this functionality with auto-classification tools, automatic and custom feature extraction, point filtering options, and numerous other point cloud editing capabilities.
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
Since the early 1990s, Blue Marble Geographics has been a pioneer in the development of powerful and innovative geospatial software. Widely regarded for its expertise in coordinate conversion and file format support, Blue Marble’s products include Geographic Calculator, the paradigm for highly accurate spatial data conversion and advanced projection management; Global Mapper, a fully-functional and affordable GIS application; and the Global Mapper LiDAR Module, a suite of powerful point cloud processing tools.
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.
Product News, User Stories, Events, and a Chance to Win a Copy of Global Mapper Every Month
A lot has happened at Blue Marble since our last missive just a month ago. Those of you who keep up with the latest company happenings are probably aware of the latest update to Global Mapper. The availability of version 19.1, which was officially announced shortly after February’s newsletter, includes several significant new and updated features. This month we formally introduce this version by offering you an opportunity to download a free trial, and by inviting you to view a webinar showcasing the capabilities of this release.
Also this month, we announce our plans for our 25th anniversary Blue Marble User Conferences; we chat with our partners at 4DMapper about the innovative work they are doing with the Global Mapper SDK for data processing and management in the cloud. We also discuss the various licensing options that are available for Global Mapper, and we challenge your geographic proficiency in the Where in the World Geo-Challenge.
When version 19 of Global Mapper was introduced in September of last year, the two major functional enhancements were the introduction of the tabular Attribute Editor and the launch of the Pixels-to-Point™ tool for photogrammetric point cloud creation within the LiDAR Module. The recent release of version 19.1 offers an insight into Blue Marble’s unremitting development process, with significant new functionality having been added to these two components. The Attribute Editor now boasts a powerful multivariate querying tool and the Pixels-to-Points tool offers the option to create a 3D Mesh. If you are already using version 19, this upgrade is complimentary. For everyone else, a free evaluation is available.
The Global Mapper Software Development Kit (SDK) provides an opportunity for developers to incorporate much of the data processing functionality of Global Mapper into a third party platform. This establishes the technical foundation for some innovative products and services, exemplified by 4DMapper, an Australian geospatial technology company that provides an enterprise cloud platform for managing, visualizing, and collaborating on geospatial data. Blue Marble recently teamed up with 4DMapper to produce a video illustrating common workflows in Global Mapper and how they can now be performed in the cloud. We also chatted with them about why they chose the Global Mapper SDK.
These days, it seems you need a license for everything. Want to own a dog? You need a license. Driving somewhere? You need a license for that as well. Want to buy and sell real estate? Yep, another license. Maybe you should just stay home and watch TV. In many countries, you even need a license for that. In each of these situations, a license provides the means to ensure legitimacy and protection against misuse. The same is true with Global Mapper licenses. The revenue from your license purchase ensures that a small company like Blue Marble can continue to develop the software upon which you depend. Thankfully, there are numerous licensing options available to meet the needs of every individual, company, or organization.
Most Global Mapper users are probably familiar with the Path Profile tool and its ability to create a cross-sectional view of the terrain or, if you have the LiDAR Module, of a 3D point cloud. What you might not know, however, is that you can now create series of custom-spaced profile views perpendicular to a defined path and that you can export these profiles as 3D line features. Viewed in the 3D Viewer, these lines offer a unique perspective of the terrain.
If you missed the recent live What’s New in Global Mapper 19.1 webinar, fear not! A recording of this hour-long presentation is now available. Among the capabilities that were showcased in this presentation are:
The redesigned and consolidated Attribute Editor which now includes the attribute joining and calculating tools
Multivariate or compound querying incorporating user-defined expressions and functions
Expanded drag-and-drop window docking
A new option to create 3D line features from one or more path profile views
Judging by some of the responses that we received for February’s Geo-Challenge, the five locations were somewhat obscure. Congratulations to those of you who successfully identified all five, especially Galešnjak, sometimes referred to as Lover’s Island, in the Adriatic Sea. This month’s winner is Allan Mathewson. Allan will shortly be receiving a complimentary copy of Global Mapper. Click here to see how well you did.
For March, five slightly less challenging locations await your perusal, with another copy of Global Mapper up for grabs.
As we mentioned last month, the Global Mapper training calendar for 2018 has been announced. These classes are already starting to fill up so be sure to register if you want to attend or if you would like to become a Certified Global Mapper User.
This month we have another educational opportunity to announce. In conjunction with the American Association of Geographers (AAG) conference in New Orleans, Blue Marble will be conducting a free workshop covering an introduction to Global Mapper as well as LiDAR processing and terrain analysis. This workshop is scheduled for April 13th from 9:00 a.m. to 12:00 p.m. Registration is required and space is limited. Click below for more information and to register.
Blue Marble will be hosting two user conference meetings in 2018 on opposite sides of the U.S. Henceforth referred to as BMUC West and BMUC East, these day-long events will be held in Los Angeles, California on June 8th and Portland, Maine on September 21st, respectively. Over the years, BMUC has proven to be one of the highlights of our calendar offering a forum for direct interaction with our customers. Further details will be announced in the coming weeks but in the meantime, you can reserve your slot today.