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!



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 >

1345678910Last
53493 Rate this article:
4.5

Web-enabled Geography, No Longer Just a Dream

Anonym

At this year's Esri International User Conference, a key theme consistently percolated up amidst the din of exhibitions, technical sessions, and networking events:  web-based geography.  And you might be thinking, “We've already heard the promise of so-called web-based technology that saves time and money and improves organizational efficiency—and, in practice, the dream never became reality.”  But there's a different quality about the web-enablement discussions these days.  Could it be that technology has finally caught up with the hype?

A noticeable dynamic that isdriving interest in web-enabled geographic solutions relates to the limitationsinherent to desktop and traditional server-based computing environments.  The fire hose of data originating from remotesensing platforms and other geospatial data collection systems is overwhelminglocalized computing implementations and making the problems of data storage,cataloguing, and dissemination more acute. Although computer processing power has come a long way, desktop and workgroup-classserver hardware is struggling to keep pace with the volumes of data associatedwith the spatial and spectral analysis requirements of a modern decisionsupport system.  And from an IT infrastructurestandpoint, even smaller organizations are eschewing the overhead of in-househardware and software management in favor of software-as-a-service and hostedtechnology solutions.  

Organizations are investing incloud-based computing implementations to address the data processing andstorage limitations inherent to traditional computing architectures.  When timely decisions are paramount,federated data and scalable processing power is required.  Companies crunching data for businessintelligence and market analytics, like operators with stakes on financialexchanges for instance, haven't hesitated to invest in web-enabled anddistributing computing technology. Organizations needing to quickly solve complex problems over broad areasusing big geospatial data are following suit; geographic applications canbenefit from web-enabled technology that facilitates linking and disseminatinginformation quickly.

Today's promise of web-basedgeography is made viable by the maturation of enabling technology.  For example, Esri's ArcGIS online platform isquickly becoming a clearinghouse for foundational map and imagery products thatnearly cover the entire globe.  Theaddition of analytics capabilities to this platform provides a model for whatweb-enabled geography can be:  aweb-based solution that allows geographic analysis to be conducted using dataand processing services that reside in the cloud.  The management of geospatial data and stewardshipof analytical tradecraft is centralized; software and hardware considerationsfor an organization are mitigated; and access to information is available toconsumers on devices of any type. 

Web-based geospatial analysis systems won't supplant desktop applications any time soon.  But, when considered as a complementary technology, it may finally be a time and money-saving, process-efficient dream come true.

Please login or register to post comments.