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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!



New ENVI Agent, IDL Agent, and GeoAgent Quick Guides

New ENVI Agent, IDL Agent, and GeoAgent Quick Guides

6/9/2026

The recent release of ENVI® Agent, IDL® Agent, and GeoAgent™ revolutionize how users interact with geospatial software. These agentic AI applications act as partners to plan, simplify, and execute complex workflows. Knowing where to start can be challenging for new users. To this end, we developed three new quick guides to... Read More >

Introducing NISAR Data Support

Introducing NISAR Data Support

6/5/2026

The release of ENVI® SARscape 6.3 in April 2026 includes preliminary support for NASA-ISRO SAR (NISAR) data. The NISAR mission is a joint Earth-observing satellite project between NASA and the Indian Space Research Organization designed to monitor changes in the planet’s land and ice surfaces using advanced radar imaging. It... Read More >

Monitoring Illegal Mining in the Amazon: Turning Persistent Data Into Actionable Insight

Monitoring Illegal Mining in the Amazon: Turning Persistent Data Into Actionable Insight

5/28/2026

Illegal mining over decades has constituted one of the most persistent and complex socio-environmental problems in the Brazilian Amazon. In recent years, with the increasingly intensive use of mechanized extraction, the associated environmental impacts—such as deforestation, intense soil disturbance, river siltation, and mercury... Read More >

From Answers to Action: Why ENVI and IDL Agents Go Beyond General AI

From Answers to Action: Why ENVI and IDL Agents Go Beyond General AI

4/20/2026

As generative AI tools like Claude and Gemini continue to gain traction, many organizations are asking the same question: Can general purpose AI actually support real geospatial workflows, or does it stop at surface-level answers? That question was front and center in our recent webinar, Meet Your New Partners in Science: ENVI... Read More >

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 >

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A column sort routine

Anonym

In spreadsheet programs like Excel or LibreOffice, you can apply a sort on a column to every other column in the spreadsheet. IDL's SORT function doesn't provide this functionality, but with a little code, we can make it so. The function COLSORT (get the source code here) accepts a 2D array and the zero-based index of the column to sort on. By default, values are sorted in ascending order; a keyword can be set to sort in descending order. Here's an example of how the routine works. Start with a 4 x 5 array of numbers:

IDL> a = round(randomu(seed, 4, 5) * 20.0)
IDL> print, 'Original array:', a, format='(a,/,4(i))'
Original array:
           8           6          14          10
           4           9          18           5
           1          11          13          18
           8           9          11           9
           3          19           4          16

Use COLSORT to perform a reverse sort on column index 1 (the second column) and extend the sort to the other columns in the array:

IDL> sort_index = 1
IDL> b = colsort(a, sort_index, /reverse_sort)

Check the result:

IDL> print, 'Sorted (descending) array:', b, format='(a,/,4(i))'
Sorted (descending) array:
           3          19           4          16
           1          11          13          18
           8           9          11           9
           4           9          18           5
           8           6          14          10

This program could be extended to apply to rows and to arrays of higher dimensionality.

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