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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!



Mapping Earthquake Deformation in Taiwan With ENVI

Mapping Earthquake Deformation in Taiwan With ENVI

12/15/2025

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 >

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Interactive Vector GUI

Anonym

With holidays rapidly approaching, I thought it might be nice to present a light hearted demonstration of capabilities; something that you can delight friends and family with during cold winter nights.  This week’s post shows how to use a simple widget_window to create an interactive vector animation.  The code is broken up into four pieces VectorBlog, VectorBlog_Event, VectorBlogMouseEvent, and VectorBlogVectorBuilder. The VectorBlog creates the widget itself and initially displays the vector information.  VectorBlog_Event runs the events for the base widget.  This is mainly the closing of the widget. VectorBlogMouseEvent is the mechanism by which the mouse locations are recoded by the widget window. Last but not least VectorBlogVectorBuilder builds the two matrices containing the horizontal and vertical components of the vector.  When the following code is run the cursor location is recorded, a distance weighted vector diagram is created, and the resulting image is then displayed in the widget window.  The only tricky bits in this code relate to the fact that there are two event handlers, one for the base widget and one for the mouse events in the widget window.  The object reference for the image displayed must also be maintained and manipulated each time the cursor is move.

 

Figure 1: Example Vector Plot

 

;+
; Build the vecort components
; This is distance weighting
;-
pro VectorBlogVectorBuilder, dims = dims, pt = pt, u = u, v = v
  compile_opt IDL2

  ; Get all the x locations
  xs = findgen(dims[0])
  xs = xs#replicate(1,dims[1])

  ; Get all the y locations
  ys = findgen(dims[1])
  ys = transpose(ys# replicate(1,dims[0]))

  ; Build the horizontal components
  u = pt[0] - xs

  ; Build the vertical components
  v =  pt[1] - ys
end


;+
; The event handler called when the mouse is moved.
;-
FUNCTION VectorBlogMouseEvent, win, x, y, keymods
  COMPILE_OPT idl2

  ; Set the window
  win.SetCurrent

  ; Set the scale factor
  sc = .05

  ; Get the size of the window
  dims = win.DIMENSIONS * sc

  ; Get the vecotr information
  VectorBlogVectorBuilder, dims = dims, pt = [x*sc,y*sc], $
    u = u , v = v

  ; Build the vecotr image
  vector = vector(u,v,xrange=[0,dims[0]], yrange=[0,dims[1]], /current, AUTO_COLOR=1,  $
    RGB_TABLE=73, AXIS_STYLE = 0, LENGTH_SCALE=1.5, ARROW_THICK =3)

  ; Delete the old image
  win.uvalue.delete

  ; Display the new image
  win.uvalue = vector



END


;+
; The event handler for the widget
;-
pro VectorBlog_Event, ev
  compile_opt IDL2


end


pro VectorBlog
  compile_opt IDL2

  ; Setup the widget
  tlb = widget_base()
  wwindow = widget_window(tlb, MOUSE_MOTION_HANDLER='VectorBlogMouseEvent', $
    XSIZE=500, YSIZE=500)
  widget_control, tlb, /REALIZE

  ; Set the scale factor
  sc = .05

  ; Get infomation about the widget window
  WIDGET_CONTROL, wwindow, GET_VALUE=w
  dims = w.DIMENSIONS * sc

  ; Build the vecotr infomation
  VectorBlogVectorBuilder, dims = dims, pt = [(dims[0])/2.,(dims[1])/2.], $
    u = u , v = v

  ; Display the vectors
  vector = vector(u,v,xrange=[0,dims[0]], yrange=[0,dims[1]], /current, AUTO_COLOR=1,  $
    RGB_TABLE=73, AXIS_STYLE = 0, LENGTH_SCALE=1.5, ARROW_THICK =3)

  ; Record the vector object
  w.uvalue = vector
  WIDGET_CONTROL, tlb, SET_UVALUE=w

  ; Start the task manager
  XMANAGER, 'VectorBlog', tlb

end

1 comments on article "Interactive Vector GUI"

Avatar image

Austin Coates

Huijian Du from Esri China just pointed out that if you replace

; Build the vecotr image

vector = vector(u,v,xrange=[0,dims[0]], $

yrange=[0,dims[1]], /current, AUTO_COLOR=1, $

RGB_TABLE=73, AXIS_STYLE = 0, $

LENGTH_SCALE=1.5, ARROW_THICK =3)

; Delete the old image

win.uvalue.delete

; Display the new image

win.uvalue = vector

In the VectorBlogMouseEvent function with

win.uvalue.setdata, u, v

win.uvalue.refresh

the performance is greatly improved! Thank you very much Mr. Du!!

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