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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!



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 >

Geo Sessions 2025: Geospatial Vision Beyond the Map

Geo Sessions 2025: Geospatial Vision Beyond the Map

8/5/2025

Lidar, SAR, and Spectral: Geospatial Innovation on the Horizon Last year, Geo Sessions brought together over 5,300 registrants from 159 countries, with attendees representing education, government agencies, consulting, and top geospatial companies like Esri, NOAA, Airbus, Planet, and USGS. At this year's Geo Sessions, NV5 is... Read More >

Not All Supernovae Are Created Equal: Rethinking the Universe’s Measuring Tools

Not All Supernovae Are Created Equal: Rethinking the Universe’s Measuring Tools

6/3/2025

Rethinking the Reliability of Type 1a Supernovae   How do astronomers measure the universe? It all starts with distance. From gauging the size of a galaxy to calculating how fast the universe is expanding, measuring cosmic distances is essential to understanding everything in the sky. For nearby stars, astronomers use... Read More >

Using LLMs To Research Remote Sensing Software: Helpful, but Incomplete

Using LLMs To Research Remote Sensing Software: Helpful, but Incomplete

5/26/2025

Whether you’re new to remote sensing or a seasoned expert, there is no doubt that large language models (LLMs) like OpenAI’s ChatGPT or Google’s Gemini can be incredibly useful in many aspects of research. From exploring the electromagnetic spectrum to creating object detection models using the latest deep learning... Read More >

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5.0

Water, Water Everywhere

But never where you need it.

Anonym

For some reason, water has been a big theme for me lately. Two weeks ago, it was a snow storm causing problems for a class I was teaching in Virginia and delaying my flight home to Colorado. Then I got a bunch of followup work for the arctic coastal erosion and bathymetric projects I’ve been working on. The Winter Olympics started, and brought the usual concerns about snow quantities. Now, I’m back in the DC area again this week to teach another class, and sure enough another snow storm is forecast to make a mess of roads and air traffic.

Precipitation, like most of nature, has a habit of following its own rules and systems which are at best loosely coupled to what we’d like to see. We get too much in some places, and not enough in others. But one project I get to work on in a small way promises to help us work with the water we have a lot more effectively. The first step in understanding an earth system is getting a decent map of it, and that’s not particularly easy. There have been some great earlier missions to develop and test the technology, like TRMM. The new missions, SMAP and GPM, however, will give us frequent global maps of where precipitation is falling, and where that water goes when it hits the ground. My little contribution is to make sure we can help get that data on screen in the ways scientists and end users want. When I get some more of the code finished, I’ll post it as a blog on making use of global data systems through HDF5 and map routines in IDL. But for now, here’s a sneak peek of where I’m at:

 

 

 

There aren’t many geospatial fields that don’t have a heavy dependency on precipitation and water. How will you use the new data from precipitation and soil moisture missions?

 

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