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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!



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 >

Blazing a trail: SaraniaSat-led Team Shapes the Future of Space-Based Analytics

Blazing a trail: SaraniaSat-led Team Shapes the Future of Space-Based Analytics

10/13/2025

On July 24, 2025, a unique international partnership of SaraniaSat, NV5 Geospatial Software, BruhnBruhn Innovation (BBI), Netnod, and Hewlett Packard Enterprise (HPE) achieved something unprecedented: a true demonstration of cloud-native computing onboard the International Space Station (ISS) (Fig. 1). Figure 1. Hewlett... Read More >

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 >

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Determining the color table index from a color table array

Anonym

Today I'd like to show something I encountered recently that's not terribly important, but that I found interesting.

In IDL 8 (a.k.a. New) Graphics, the RGB_TABLE property can take as input a color table index, an integer on 0-74. Internally, the color information is converted to a color table array, a 3 x 256 byte array. For example, here I display a distance map (with the DIST function) as an image with color table 70:

IDL> g = image(dist(400), rgb_table=70)
      

When I retrieve the color table, it's been converted into a color table array:

IDL> help, g.rgb_table
<Expression>    BYTE      = Array[3, 256]
      

What if I'd like to get back the color table index, 70? Here's a program that attempts to solve this problem:

; docformat = 'rst'
;+
; Attempts to determine which built-in color table matches an input [256,3]
; or [3,256] array of colors.
;
; :params:
;  rgb_table: in, required, type=byte
;   A [256,3] or [3,256] byte array of color table values.
;
; :returns:
;  The color table index if matched, else the input is passed through unchanged.
;  
; :requires:
;  IDL 8.2.1
;  
; :author:
;  Mark Piper, VIS, 2013
;-
function determine_colortable, rgb_table
   compile_opt idl2, hidden
   on_error, 2
   
   do_transpose = (size(rgb_table, /dimensions))[0] eq 3
   
   !null = colortable(get_names=all_ct_names)
   for ct_index=0, n_elements(all_ct_names)-1 do begin
      ct_array = colortable(ct_index, transpose=do_transpose)
      if array_equal(rgb_table, ct_array) then return, ct_index
   endfor
   
   return, rgb_table ; pass through
end
      

The key is the use of the COLORTABLE function, introduced in IDL 8.2.1. Use DETERMINE_COLORTABLE (I couldn't think of a better name) to determine the color table used in the graphic "g" above:

IDL> print, determine_colortable(g.rgb_table)
          70
      

The idea for this program came from a discussion with Eddie Haskell on the IDL Engineering team.

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