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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!



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 >

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Digital Number, Radiance, and Reflectance

Anonym

Here at NV5 Geospatial Tech Support, we often hear from folks who are confused about exactly what information is stored in the pixel values for their imagery, and how to get from the values they have to the values they need. I thought I'd take a few minutes to clear up some of that confusion.

 

Digital Number (DN)

The generic term for pixel values is Digital Number or DN. It is commonly used to describe pixel values that have not yet been calibrated into physically meaningful units.

If you just want to look at an image, and don't intend to interpret the pixel values in terms of some physically meaningful, quantitative value like radiance or reflectance (or any value derived from radiance or reflectance values, such as abundance), then it may be just fine to keep your image in its original DN values.

 

Radiance

Radiance is the amount of radiation coming from an area. To derive a radiance image from an uncalibrated image, a gain and offset must be applied to the pixel values. These gain and offset values are typically retrieved from the image's metadata or received from the data provider. ENVI provides a tool called Radiometric Calibration which will correct DN values to radiance for many data products that are distributed with calibration gain and offset values in the metadata.

There are a number of units that might be used for radiance pixel values, and it is important to understand which units are used for the values in your radiance image. For example, radiance images that are used as input to FLAASH (in ENVI's Atmospheric Correction Module) are expected to have units of µW/(cm2*sr*nm). ENVI's calibration tool allows you to control the units with which your radiance image is output.

Radiance includes radiation reflected from the surface, bounced in from neighboring pixels, and reflected from clouds above the area of the pixel. Radiance is also affected by the source of the radiation, which for optical imagery is the sun. If you look at the spectrum of a radiance pixel, it will have the overall shape of the solar spectrum, which peaks at green wavelengths (about 500 nm).

Radiance (left) and surface reflectance (right) spectra for dry grass (black), green grass (red), water(green) and pavement (blue). Notice that all of the radiance spectra trend toward higher values at about 500 nm, because the spectrum of the sun peaks at about 500 nm . The gaps in the reflectance spectra indicate wavelengths at which radiation is strongly absorbed by the atmosphere and so no signal from the surface can be detected. Image courtesy of Spectral Sciences Inc.

 

Typically, for quantitative analysis of multispectral or hyperspectral image data, radiance images are corrected to reflectance images.

 

Reflectance

Reflectance is the proportion of the radiation striking a surface to the radiation reflected off of it. Some materials can be identified by their reflectance spectra, so it is common to correct an image to reflectance as a first step toward locating or identifying features in an image.

Top of Atmosphere Reflectance

Top-of-atmosphere reflectance (or TOA reflectance) is the reflectance measured by a space-based sensor flying higher than the earth's atmosphere. These reflectance values will include contributions from clouds and atmospheric aerosols and gases.

Surface Reflectance

Surface Reflectance is the reflectance of the surface of the Earth. Clouds and other atmospheric components do not affect surface reflectance spectra. Typically images of surface reflectance are derived from calibrated radiance images. There are many ways to derive reflectance images from radiance images, including model-based atmospheric corrections such as those included in ENVI's Atmospheric Correction Module.

 

In summary, it is common to receive an uncalibrated image directly from the data provider, then calibrate it to a radiance image. The radiance image is then atmospherically corrected, resulting in a surface reflectance image. At this point, the reflectance image is ready to be used to extract quantitative information about features on the surface.

3 comments on article "Digital Number, Radiance, and Reflectance"

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a

http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6737293


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Srinivas Kolluru

"Reflectance is the proportion of the radiation striking a surface to the radiation reflected off of it". This is wrong. The correct definition is "Reflectance is the proportion of the radiation reflected off a surface to the radiation striking it." (mentioned in http://www.harrisgeospatial.com/portals/0/pdfs/envi/PreprocessAVIRIS.pdf, please correct it.


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assignment writers

Sensors measure the brilliance, which relates to the shine in a provided guidance toward the sensor; it valuable to characterize likewise the reflectance as the proportion of reflected versus add up to power vitality.

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