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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!



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 >

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 >

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ENVI: Adding custom polygons to the display

Anonym

A recent project I worked on required custom polygons – Controlled by my application – to be added to the ENVI display.  The following code defines an object class that allows the user to place a polygon in the ENVI display using window coordinates.  To run the application:

  1. Save the code that follows to a file named envi_polygon_example.pro
  2. Open and compile the file in the IDLDE
  3. Execute the following at the IDL command prompt

  4. envi_polygon_example

;------------------------------------------------------------------------------

;+

; Lifecycle method for destroying the object

;-

pro my_polygon::Cleanup

  compile_opt idl2, logical_predicate

  self->Destruct

end

 

;------------------------------------------------------------------------------

;+

; Cleans up the member variables of the object class

;-

pro my_polygon::Destruct

  compile_opt idl2, logical_predicate

  self->IDLmiManipGraphicOverlay::Cleanup

  self->IDLmiManipLayer::Cleanup

  self->IDLgrPolygon::Cleanup

end

 

;------------------------------------------------------------------------------

;+

; Lifecycle method for initializing the class

;

; :Returns:

;   1 if the object initializes successfully and 0 otherwise

;  

; :Params:

;   xy: in, optional, type="int"

;     a [2,n] array containing the [x,y] points in window coordinates

;  

; :Keywords:

;   POLYGONS: in, optional, type="int"

;     An integer array of one or more polygon descriptions.  See IDL help for

;     IDLgrPolygon for more information

;   _REF_EXTRA: Used to set properties of the inherited IDLgrPolygon

;-

function my_polygon::Init, xy, $

  POLYGONS=poly, $

  _REF_EXTRA=refExtra

  compile_opt idl2, logical_predicate

  void = self->IDLmiManipGraphicOverlay::Init(_EXTRA=refExtra)

  if ~void then begin

    return, 0

  endif

  self->InitializeDataspace

  self->SetupManipulatorGraphics

  self->InitializeGraphics

  if n_elements(xy) then begin

    self->SetProperty, DATA=xy, POLYGONS=poly

  endif

  if n_elements(refExtra) then begin

    self->SetProperty, _EXTRA=refExtra

  endif

  return, 1

end

 

;------------------------------------------------------------------------------

;+

; This method initializes the data space used by the graphics layer

;-

pro my_polygon::InitializeDataspace

  compile_opt idl2, logical_predicate

  e = envi(/CURRENT)

  eView = e->GetView()

  eView->GetProperty, _COMPONENT=ecfViewGroup

  oDS = ecfViewGroup->GetDescendants(BY_TYPE='DATASPACE', /FIRST_ONLY)

  self._oTargetDS = oDS

end

 

;------------------------------------------------------------------------------

;+

; Initializes the graphics components of the class

;-

pro my_polygon::InitializeGraphics

  compile_opt idl2, logical_predicate

  void = self->IDLgrPolygon::Init(COLOR=[255,0,0], /PRIVATE, THICK=2)

  self._oGrOverlay->IDLmiContainer::Add, self

end

 

;------------------------------------------------------------------------------

;+

; This method is for setting class properties

;-

pro my_polygon::SetProperty, $

  DATA=data, $

  POLYGONS=poly, $

  _REF_EXTRA=refExtra

  compile_opt idl2, logical_predicate

  if n_elements(data) then begin

    self->SetData, data, POLYGONS=poly

  endif

  if n_elements(refExtra) then begin

    self->IDLgrPolygon::SetProperty, _EXTRA=refExtra

    self->IDLmiManipLayer::SetProperty, _EXTRA=refExtra

  endif

end

 

;------------------------------------------------------------------------------

;+

; This method maps the points from window coordinates to map coordinates and

; adds the mapped points to the IDLgrPolygon.

;

; :Params:

;   xy: in, required, type="int"

;     A [2,n] array of points (In window coordinates) to be added to the polygon

;

; :Keywords:

;   POLYGONS: in, optional, type="int"

;     An integer array of one or more polygon descriptions.  See IDL help for

;     IDLgrPolygon for more information

;-

pro my_polygon::SetData, xy, $

  POLYGONS=poly

  compile_opt idl2, logical_predicate

  self._oTargetDS->WindowToVis, reform(xy[0,*]), reform(xy[1,*]), xVis, yVis

  self->IDLgrPolygon::SetProperty, DATA=transpose([[xVis],[yVis]]), $

    POLYGONS=poly

end

 

;------------------------------------------------------------------------------

;+

; Class structure definition

;-

pro my_polygon__define

  compile_opt idl2, logical_predicate

  void = {my_polygon                    $

    , inherits IDLmiManipGraphicOverlay $

    , inherits IDLmiManipLayer          $

    , inherits IDLgrPolygon             $

    }

end

 

;------------------------------------------------------------------------------

;+

;-

pro envi_polygon_example

  compile_opt idl2, logical_predicate

  e = envi(/CURRENT)

  if ~isa(e, 'envi') then begin

    e = envi()

  endif

  file = FILEPATH('qb_boulder_msi', ROOT_DIR=e.ROOT_DIR, SUBDIRECTORY=['data'])

  eRaster = e->OpenRaster(file)

  eView = e->GetView()

  eLayer = eView->CreateLayer(eRaster)

  xy = [[470,140],[560,140],[560,230],[470,230], $

    [750,115],[1200,115],[1200,665],[750,665]]

  conn = [4,0,1,2,3,4,4,5,6,7]

  oPolygon = obj_new('my_polygon', xy, LINESTYLE=5, POLYGONS=conn, STYLE=1)

end

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