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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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Free Remote Sensing Data

Anonym
I am always amazed at the amount of remote sensing data available for free from a wide variety of different satellite and aerial platforms. A major watershed moment in the remote sensing community occurred in 2009 when the USGS made their Landsat satellite image archive freely available over the internet. The availability of remote sensing data at no cost certainly didn't start in 2009 (EOS Aqua/Terra comes to mind) but since the Landsat decision there has been a philosophical shift amongst government missions and research organization programs with a trend towards making data freely available (either to the general public or a specific subset of users).
 
This trend continues with programs such as Suomi National Polar-orbiting Partnership (NPP) making the data from sensors such as VIIRS freely available with more recent examples such as the European Space Agency (ESA) providing free distribution of the data from the Copernicus/GMES Sentinel missions. Much of this free data can be found on website-based data portals such as USGS EarthExplorer or NASA Reverb | ECHO. Furthermore, there are a wide variety of commercial industry sources such as Esri's Landsat imagery services.
 
Making remote sensing data freely available certainly helps scientists perform research and collaborate with one another on a wide variety of projects. Applications in the realm of environmental assessment alone include land use, forest fires, volcanic ash clouds, flooding, tropical storms, air quality, water resources, climate change, coral reef health, oil spills, agricultural monitoring, ecological forecasting, algal blooms, polar ice, dust storms, tornado damage, drought analysis, etc..  In addition to supporting scientific research, freely available data also supports "citizen scientist" objectives that some missions have as an outreach requirement.  For example, NEON will be making all of its long term HSI, MSI, LiDAR, aerial photography and field data available on a public portal.
 
Since I have a hard time keeping all of these website resources organized in my web browser bookmarks/favorites, I started collecting the links and some brief searchable text descriptions in a whitepaper document that I'll share with you in the link below:
 
http://www.exelisvis.com/portals/0/pdf/6-14_Geospatial_Imagery_Raster_GIS_Data_Sources.pdf
 
I use the term "whitepaper" loosely. This document is really nothing more than a bulleted list of URL links.
 
The resources in this whitepaper definitely lean towards EO/IR imagery, SAR data, LiDAR point clouds, digital elevation model (DEM) and spectral library data sources. Furthermore, in many circumstances the data available from the free sources may not have the spatial resolution, geographic coverage, temporal revisit, or radiometric & geometric accuracy required for certain applications. Consequently, within this whitepaper I have also tried to include some links to satellite and aerial data providers that are also a great source for remote sensing data (albeit usually at-cost).
 
This whitepaper is by no means designed to be a comprehensive list of geospatial data servers or providers, as such a list would be hundreds of pages long and require almost constant maintenance. My hope is that some of you may find this document to be a useful resource as you tackle your remote sensing projects, as the wealth of freely available remote sensing data is certainly something we should take advantage of as often as possible.
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