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

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

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

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

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 >

1 2 3 4 5 6 7 8 9 10 Next Last

«

January 2026

»

Sun

Mon

Tue

Wed

Thu

Fri

Sat

28

29

30

31

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

1

2

3

4

5

6

7

11887 Rate this article:

4.4

ENVI and ENVI Connect: A Game-Changing Combination

James Lewis Wednesday, September 27, 2023

In the rapidly evolving field of remote sensing, the integration of sophisticated technology is essential for optimizing insights and making decisions. Among the most significant advancements in this area is the combination of ENVI® and ENVI Connect.

ENVI is the industry standard desktop software for processing and analyzing geospatial imagery. It's widely used across industries and enables users to create custom workflows, develop algorithms, and extract information from all types of geospatial data.

ENVI Connect, on the other hand, is a lightweight web application built for collaboration that lets users quickly discover, visualize, and extract information from geospatial data as well as generate products. It requires minimal training and users don’t need a remote sensing background to derive actionable information.

However, it is the combination of ENVI and ENVI Connect that really changes things.

Democratizing The Power of Imagery to Solve Problems

The integration of ENVI and ENVI Connect enables experts and non-experts to collaboratively and efficiently use imagery to solve problems. Subject matter experts can create image processing workflows in ENVI and deploy them to ENVI Connect. Anyone with access to ENVI Connect can access and run them with the click of a button. Everyone in the chain can see each other’s work, perform QA, and add annotations.

Traditional remote sensing analysis requires knowledge of the craft and training with the technology. Using ENVI Connect requires little training, allowing users to get up and running and supporting organizational objectives in a matter of minutes.

Subject matter experts can publish imagery products or image processing workflows to ENVI Connect. Others can then perform analysis and QA/QC and make decisions.

In addition to deploying an image processing workflow to ENVI Connect, subject matter experts can also choose to publish imagery products into ENVI Connect for others to view, analyze using pre-built literal or non-literal tools, and/or annotate without needing a desktop license, making collaboration and data sharing easy for remote users.

By combining the powerful remote sensing capabilities in ENVI with the accessibility of ENVI Connect, organizations can bring image science to the non-imagery experts without the need for training. This breaks down barriers, prevents silos, and enables teams to produce more effective results.

A machine learning landcover classification algorithm created in ENVI desktop.

The results from running the algorithm in ENVI Connect.

The analytics selection dialog which is as easy as "pick your data, pick your analytics, hot go".

Conclusion

The collaboration of ENVI and ENVI Connect is more than just a technological advancement – it’s a transformative approach that extends the benefits of geospatial imagery across the enterprise. This combination democratizes remote sensing, facilitates better decision-making, enhances collaboration, and unlocks new possibilities for businesses and organizations.