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!



Thermal Infrared Echoes: Illuminating the Last Gasp of a Dying Star

Thermal Infrared Echoes: Illuminating the Last Gasp of a Dying Star

4/24/2025

This blog was written by Eli Dwek, Emeritus, NASA Goddard Space flight Center, Greenbelt, MD and Research Fellow, Center for Astrophysics, Harvard & Smithsonian, Cambridge, MA. It is the fifth blog in a series showcasing our IDL® Fellows program which supports passionate retired IDL users who may need support to continue their work... Read More >

A New Era of Hyperspectral Imaging with ENVI® and Wyvern’s Open Data Program

A New Era of Hyperspectral Imaging with ENVI® and Wyvern’s Open Data Program

2/25/2025

This blog was written in collaboration with Adam O’Connor from Wyvern.   As hyperspectral imaging (HSI) continues to grow in importance, access to high-quality satellite data is key to unlocking new insights in environmental monitoring, agriculture, forestry, mining, security, energy infrastructure management, and more.... Read More >

Ensure Mission Success With the Deployable Tactical Analytics Kit (DTAK)

Ensure Mission Success With the Deployable Tactical Analytics Kit (DTAK)

2/11/2025

In today’s fast-evolving world, operational success hinges on real-time geospatial intelligence and data-driven decisions. Whether it’s responding to natural disasters, securing borders, or executing military operations, having the right tools to integrate and analyze data can mean the difference between success and failure.... Read More >

How the COVID-19 Lockdown Improved Air Quality in Ecuador: A Deep Dive Using Satellite Data and ENVI® Software

How the COVID-19 Lockdown Improved Air Quality in Ecuador: A Deep Dive Using Satellite Data and ENVI® Software

1/21/2025

The COVID-19 pandemic drastically altered daily life, leading to unexpected environmental changes, particularly in air quality. Ecuador, like many other countries, experienced significant shifts in pollutant concentrations due to lockdown measures. In collaboration with Geospace Solutions and Universidad de las Fuerzas Armadas ESPE,... Read More >

Rapid Wildfire Mapping in Los Angeles County

Rapid Wildfire Mapping in Los Angeles County

1/14/2025

On January 8, WorldView-3 shortwave infrared (SWIR) imagery captured the ongoing devastation of the wildfires in Los Angeles County. The data revealed the extent of the burned areas at the time of the capture, offering critical insights for rapid response and recovery. To analyze the affected region, we utilized a random forest... Read More >

1345678910Last
«May 2025»
SunMonTueWedThuFriSat
27282930123
45678910
11121314151617
18192021222324
25262728293031
1234567
17264 Rate this article:
4.7

Georeferencing vs. Georectification vs. Geocoding

Anonym

I posted recently about confusion in the geospatial community around the terms DSM, DEM, and DTM.  Another set of terms that are used in different ways by different people are those that refer to the geo information associated with an image.  I thought it might be useful to outline the way that I use these terms. Be aware that the ENVI documentation, and my colleagues, as well as plenty of people in the geospatial community, sometimes use these terms differently.  But if I were king of the world, I’d define them like this:

Georectify:  To take an image that has not been adjusted to be in a known coordinate system, and put it into a known coordinate system.  Usually this means taking an image that is in its original geometry, and putting it into a map projection.  There are different ways to do this.  Perhaps the most common way is to identify a set of points in the image for which the latitude and longitude or map coordinates are known, and use them to warp the image into a map projection.

Georeference:  To take an image that is already in a known coordinate system, and provide the information necessary for software to understand which coordinate system it is in.

Geocode: Same as georeference.

Geometrically Correct: Same as georectify.

Orthorectify: To take an image in its original geometry and very accurately adjust it so that it is in a known coordinate system, with distortions due to topographic variation corrected.  An orthorectified image has uniform scale throughout the image.  A DEM (and by this, I mean an image in which the pixel values represent the ground elevation above sea level) is required for true orthorectification.

How do you use the terms georeference, georectify, geocode, geometrically correct, and orthorectify?

Please login or register to post comments.