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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!



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 >

Geo Sessions 2025: Geospatial Vision Beyond the Map

Geo Sessions 2025: Geospatial Vision Beyond the Map

8/5/2025

Lidar, SAR, and Spectral: Geospatial Innovation on the Horizon Last year, Geo Sessions brought together over 5,300 registrants from 159 countries, with attendees representing education, government agencies, consulting, and top geospatial companies like Esri, NOAA, Airbus, Planet, and USGS. At this year's Geo Sessions, NV5 is... Read More >

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 >

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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.

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