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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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Using a HASH with FOREACH

Anonym

The FOREACH loop is a handy tool in IDL, allowing a user to iterate over each element in an array without having to determine the size. To start the loop, the syntax is:

foreach element, variable, index do

The first argument "element" does not have to be defined beforehand, and is the variable that holds the element of the loop for the current iteration. The second argument is the IDL variable that contains the array, list or, hash you want to loop over. The third argument "index" is optional, and contains the index for the current loop. When using a list or array, this third argument is a good way to keep track of the iteration you are currently on.

With a HASH however, the third optional argument will be the key for the current key/value pair, and the first argument, "element" will be the value. This is useful for things like titling your graphics, since the key can be a string. This example below illustrates how to do this.

x = findgen(21)/10 - 1.0

i = 1

data = orderedhash()

data['linear'] = x

data['squared'] = x^2

data['cubed'] = x^3

p = list()

foreach this_data, data, type do begin

  p.add, plot(x, this_data, LAYOUT=[3,1,i], TITLE=type, THICK=3, /current)

  i++

endforeach

(p[0]).COLOR= 'red'

(p[1]).COLOR= 'green'

(p[2]).COLOR= 'blue'

The resulting graphic looks like this:

There a couple things to note in this example:

First, since the third optional argument is a key for the HASH, if you need numeric index for the loop, it has to be taken care of manually by incrementing a value (I used "i") in the loop.

Second, the use of an ORDEREDHASH is important. Without this, the plots will not necessarily be in the order expected. When I ran this with a regular HASH, the graphic came out as "squared" on the left, "linear" in the middle, and "cubed" on the right.

Finally, I used a list to hold the object returned by plot,which enabled me to change the color of the plots after the graphic initialized. The LIST::ADD method adds the plots to the list one at a time.

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