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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!



Mapping Earthquake Deformation in Taiwan With ENVI

Mapping Earthquake Deformation in Taiwan With ENVI

12/15/2025

Unlocking Critical Insights With ENVI® Tools Taiwan sits at the junction of major tectonic plates and regularly experiences powerful earthquakes. Understanding how the ground moves during these events is essential for disaster preparedness, public safety, and building community resilience. But traditional approaches like field... Read More >

Comparing Amplitude and Coherence Time Series With ICEYE US GTR Data and ENVI SARscape

Comparing Amplitude and Coherence Time Series With ICEYE US GTR Data and ENVI SARscape

12/3/2025

Large commercial SAR satellite constellations have opened a new era for persistent Earth monitoring, giving analysts the ability to move beyond simple two-image comparisons into robust time series analysis. By acquiring SAR data with near-identical geometry every 24 hours, Ground Track Repeat (GTR) missions minimize geometric decorrelation,... Read More >

Empowering D&I Analysts to Maximize the Value of SAR

Empowering D&I Analysts to Maximize the Value of SAR

12/1/2025

Defense and intelligence (D&I) analysts rely on high-resolution imagery with frequent revisit times to effectively monitor operational areas. While optical imagery is valuable, it faces limitations from cloud cover, smoke, and in some cases, infrequent revisit times. These challenges can hinder timely and accurate data collection and... Read More >

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 >

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Using Reports in a Cloud Based Environment

Anonym

One hurdle that I often find challenging when working in the cloud, is the question "Where is the data?" This question is not just for inputs and the processing chain, but also the output data and how a person can (and should) access it.

When in a server environment, it is not common that a person who is accessing that server will want to do processing, and then download the full final files for inspection due to their size. Instead, it's much simpler to generate a smaller file that retains the information necessary. This way, the smaller file can be downloaded, or even just viewed on the server with a web client.

This was our motivation in the Custom Services Group while constructing the report generator for the Precision AG Toolkit. This system takes in parameters in XML format as key value pairs (ie stretch="2% linear", or color_table="39") and with these parameters, the reports from the tool are not only highly customizable, but also easy to change or generate new ones.

Once results are generated from the server, the image is placed in to a document (it currently only supports PDF) and the extra graphics are added in. This can be objects like text, colorbars, and scaling. Below is an example of this that we generated using the Precision AG Toolkit's Hotspot Analysis Tool, and a template made specifically for reporting these hotspots.

The Hotspot Analysis tool uses a scoring system to determine the most important "Hotspots" in a image that is generated from a vegetation index. In this case we used NDVI for plant health. The large green region at the top of the image is a golf course.

This portable format is viewable very quickly, since the document will be a fraction of the actual file size. Because of this, reporting is going to be much faster than traditional methods including downloading and analyzing the data. It's also an extra perk that the files are small enough to send in an e-mail! (Imagine that....)

Total size of the above example? 57 KB.

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