X

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!



Mapping Earthquake Deformation in Taiwan With ENVI

Mapping Earthquake Deformation in Taiwan With ENVI

12/4/2025

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 >

Comparing Amplitude and Coherence Time Series With ICEYE US GTR Data and ENVI SARscape

Comparing Amplitude and Coherence Time Series With ICEYE US GTR Data and ENVI SARscape

12/3/2025

Large commercial SAR satellite constellations have opened a new era for persistent Earth monitoring, giving analysts the ability to move beyond simple two-image comparisons into robust time series analysis. By acquiring SAR data with near-identical geometry every 24 hours, Ground Track Repeat (GTR) missions minimize geometric decorrelation,... Read More >

Empowering D&I Analysts to Maximize the Value of SAR

Empowering D&I Analysts to Maximize the Value of SAR

12/1/2025

Defense and intelligence (D&I) analysts rely on high-resolution imagery with frequent revisit times to effectively monitor operational areas. While optical imagery is valuable, it faces limitations from cloud cover, smoke, and in some cases, infrequent revisit times. These challenges can hinder timely and accurate data collection and... Read More >

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 >

1345678910Last
17428 Rate this article:
No rating

Discrete colorbar in (New) Graphics

Anonym

The improved NG COLORBAR function in IDL 8.2 makes it much easier to display a discrete colorbar. The  example below is adapted from one of the IDLffVideoWrite examples I created for IDL 8.1; here, I use NCEP/NCAR Reanalysis 1 data to display the mean global 500 mb geopotential height surface for a single day as a filled contour plot with a discrete colorbar. I’ve chosen to write this example as a procedure. Start by locating the data file (it’s netCDF and I’m assuming it’s in IDL’s path), then reading it with a helper routine:

 pro view_nnrp500mbgph, save=save compile_opt idl2 f = file_which('X174.29.255.181.65.14.23.9.nc', /include) x = read_nnrp500mbgph(f)

The return from READ_NNRP500MBGPH, x, is a hash containing keys ‘hgt’, ‘lon’, ‘lat’ and ‘time’. An aside: in READ_NNRP500MBGPH I had fun using IDL 8 language features in conjunction with our netCDF API. This may be worth a separate post. Next, set up a map projection:

 m = map('Orthographic', $ center_latitude=30, $ center_longitude=120, $ limit=[-90, 0, 90, 360], $ ; crosses IDL /current, $ title='Daily Mean 500mb Geopotential Heights', $ color='gray')

I chose an orthographic projection that crosses the international date line. Now visualize the 500 mb geopotential height surface for 2010 January 1 as a filled contour plot, using a set of custom levels based on the data range:

 nlevels = 14 levels = findgen(nlevels)*100 + 4700 ; m g_heights = contour(x['hgt',*,*,0], x['lon'], x['lat'], $ overplot=m, $ c_value=levels, $ rgb_table=39, $ grid_units='degrees', $ /fill, $ transparency=20)

In the hash x, ‘hgt’ is a 3D array of heights dimensioned by [longitude, latitude, day of the year]. In this case, the subscripts applied to ‘hgt’ give all of the longitudes and latitudes on the first day of the year. To finish, annotate the visualization with continental outlines, a colorbar and some reference text:

 g_continents = mapcontinents(color='black') g_colorbar = colorbar(target=g_heights, $ orientation=1, $ textpos=1, $ font_size=10, $ transparency=g_heights.transparency, $ border=1, $ ; boxes around cells position=[0.86, 0.20, 0.88, 0.80], $ title='Height (m)') g_date = text(0.05, 0.20, '2010 January 01', font_size=12) subtitle = ['NCEP/NCAR Reanalysis Project', $ 'http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html'] g_subtitle = text(0.05, 0.05, subtitle, font_size=8) if keyword_set(save) then $ m.save, 'view_nnrp500mbgph.png', resolution=300 end

Note that the call to COLORBAR isn’t significantly different than in IDL 8.1. Through its TARGET keyword, it sees the levels and colors used in the contour plot and displays them appropriately as a discrete set of 14 colors (not, as in 8.1, all 256 colors from color table 39).  End caps are displayed by default for a filled contour plot. The result: A contour plot of 500 mb geopotential heights Download the code and data for this example here. Please also check out the IDL Help page for COLORBAR; it has several examples that demonstrate its new behavior.

Please login or register to post comments.