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NV5 Geospatial Blog

Each month, NV5 Geospatial posts new blog content across a variety of categories. Browse our latest posts below to learn about important geospatial information or use the search bar to find a specific topic or author. Stay informed of the latest blog posts, events, and technologies by joining our email list!



Easily Share Workflows With the Analytics Repository

Easily Share Workflows With the Analytics Repository

10/27/2025

With the recent release of ENVI® 6.2 and the Analytics Repository, it’s now easier than ever to create and share image processing workflows across your organization. With that in mind, we wrote this blog to: Introduce the Analytics Repository Describe how you can use ENVI’s interactive workflows to... Read More >

Deploy, Share, Repeat: AI Meets the Analytics Repository

Deploy, Share, Repeat: AI Meets the Analytics Repository

10/13/2025

The upcoming release of ENVI® Deep Learning 4.0 makes it easier than ever to import, deploy, and share AI models, including industry-standard ONNX models, using the integrated Analytics Repository. Whether you're building deep learning models in PyTorch, TensorFlow, or using ENVI’s native model creation tools, ENVI... Read More >

Blazing a trail: SaraniaSat-led Team Shapes the Future of Space-Based Analytics

Blazing a trail: SaraniaSat-led Team Shapes the Future of Space-Based Analytics

10/13/2025

On July 24, 2025, a unique international partnership of SaraniaSat, NV5 Geospatial Software, BruhnBruhn Innovation (BBI), Netnod, and Hewlett Packard Enterprise (HPE) achieved something unprecedented: a true demonstration of cloud-native computing onboard the International Space Station (ISS) (Fig. 1). Figure 1. Hewlett... Read More >

NV5 at ESA’s Living Planet Symposium 2025

NV5 at ESA’s Living Planet Symposium 2025

9/16/2025

We recently presented three cutting-edge research posters at the ESA Living Planet Symposium 2025 in Vienna, showcasing how NV5 technology and the ENVI® Ecosystem support innovation across ocean monitoring, mineral exploration, and disaster management. Explore each topic below and access the full posters to learn... Read More >

Monitor, Measure & Mitigate: Integrated Solutions for Geohazard Risk

Monitor, Measure & Mitigate: Integrated Solutions for Geohazard Risk

9/8/2025

Geohazards such as slope instability, erosion, settlement, or seepage pose ongoing risks to critical infrastructure. Roads, railways, pipelines, and utility corridors are especially vulnerable to these natural and human-influenced processes, which can evolve silently until sudden failure occurs. Traditional ground surveys provide only periodic... Read More >

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Using OpenStreetMap Data to Enhance Image Analysis in ENVI

Andrew Fore

The addition of OpenStreetMap (OSM) vector data in ENVI® allows users to add context to their data, thereby providing a simple way to enhance image analysis. This data now gives the user more flexibility in displaying many different types of vector datasets. OSM provides one of the largest, free cultural vector datasets in the world, allowing the user to quickly display and edit vector data on the fly. OSM is a great complement to many image analysis projects. Among its many uses, it can highlight the different attributes of man-made structures close to sensitive ecosystems and can be used as a reference layer for measuring the accuracy of orthorectified imagery.

One unique way to take advantage of OSM datasets is to use the water vector layer to quickly mask out water in an image. My colleague, Eduardo Iturrate, created a simple model using ENVI Modeler to mask out water in a Quick Bird image over Boulder, Colorado (below). This model was done by extracting a bounding box from the raster image, downloading the OSM data for the image ROI, extracting the specific water layer from the OSM data array and then proceeding to mask the raster with the OSM water vector layer.

 

 

Using ENVI Modeler makes it easy to perform batch processing or create custom image processing workflows without having to write a single line of code. The straight forward and repeatable model created to mask out water in a Quick Bird image (below), is an example of how ENVI Modeler can save time for users looking to analyze data in similar ways.

 

 

Another useful thing about the addition of OSM data, is the capability to edit the symbology of vectors. To edit the symbology of a feature, double-click the name of the feature in the layer manager and select properties, from there you can select the Vector Properties dialog to change the color, size and style of the features. You can also edit secondary features using the Attribute drop-down list in the Vector Properties dialog. To do this just select an attribute from the Attribute Values list and change the properties of the secondary feature as needed. Changing the symbology of OSM vectors can add more meaning to a result and can help with the visualization of a map output.

 

 

The ability to quickly add and edit OSM data can be beneficial for those who need a diverse set of high resolution vector layers in ENVI. Having OSM data readily available can strengthen the overall product of an image analysis workflow. If you think that OSM data can complement your analysis then I encourage you to check out our Documentation Center which will help guide users through working with OSM data in ENVI.

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