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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!



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 >

From Image to Insight: How GEOINT Automation Is Changing the Speed of Decision-Making

From Image to Insight: How GEOINT Automation Is Changing the Speed of Decision-Making

4/28/2025

When every second counts, the ability to process geospatial data rapidly and accurately isn’t just helpful, it’s critical. Geospatial Intelligence (GEOINT) has always played a pivotal role in defense, security, and disaster response. But in high-tempo operations, traditional workflows are no longer fast enough. Analysts are... Read More >

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Creating timestamps with sub-second accuracy

Anonym

The TIMESTAMP function in IDL is good when you need to write log files and chronologically sort entries from multiple files. However, a common problem is that the number of digits is not enough when code runs quickly. This alternative routine shows how to improve timestamps into fractions of seconds. On Windows,"systime" is normally limited to about 1ms. But on Linux the accuracy can be closer to 1 microsecond.

 

Here is a comparison of the standard TIMESTAMP function and the output from the improved accuracy TIMESTAMP2 function.

ENVI> print,(t=timestamp()) & for i=0, 299 do if t ne timestamp() then print, (t=timestamp())

2014-08-27T21:31:30.00004827976228Z

ENVI> print,(t=timestamp2()) & for i=0, 299 do if t ne timestamp2() then print, (t=timestamp2())

2014-08-27T21:31:41.808

2014-08-27T21:31:41.809

2014-08-27T21:31:41.810

2014-08-27T21:31:41.811

2014-08-27T21:31:41.812

2014-08-27T21:31:41.813

2014-08-27T21:31:41.814

2014-08-27T21:31:41.815

2014-08-27T21:31:41.816

2014-08-27T21:31:41.817

 

For TIMESTAMP2 the update rate is about 1ms running on a Windows 7 OS in this case. The following is a listing of the source code for the TIMESTAMP2 function:

function timestamp2

 compile_opt idl2,logical_predicate

 t = systime(1)

 str = systime(0, floor(t), /utc)

 td = 0d

 reads, str, td, format='(c())'

 td += (t-floor(t))/(24*3600d)

 tstr = string(td, format='(c(cyi4.4,"-",cmoi2.2,"-",cdi2.2,"T",cHi2.2,":",cmi2.2,":",csf06.3))')

 return, tstr

end

 

 

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