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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!



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 >

Thermal Infrared Echoes: Illuminating the Last Gasp of a Dying Star

Thermal Infrared Echoes: Illuminating the Last Gasp of a Dying Star

4/24/2025

This blog was written by Eli Dwek, Emeritus, NASA Goddard Space Flight Center, Greenbelt, MD and Research Fellow, Center for Astrophysics, Harvard & Smithsonian, Cambridge, MA. It is the fifth blog in a series showcasing our IDL® Fellows program which supports passionate retired IDL users who may need support to continue their work... Read More >

A New Era of Hyperspectral Imaging with ENVI® and Wyvern’s Open Data Program

A New Era of Hyperspectral Imaging with ENVI® and Wyvern’s Open Data Program

2/25/2025

This blog was written in collaboration with Adam O’Connor from Wyvern.   As hyperspectral imaging (HSI) continues to grow in importance, access to high-quality satellite data is key to unlocking new insights in environmental monitoring, agriculture, forestry, mining, security, energy infrastructure management, and more.... 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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