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!



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 >

1345678910Last
«November 2025»
SunMonTueWedThuFriSat
2627282930311
2345678
9101112131415
16171819202122
23242526272829
30123456
16726 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.