/* * These styles apply ONLY to the header and footer assets. */ .footer { font-weight: 300; width: 100%; min-height: 300px; text-align: center; background: #102252; padding: 40px 0; } .footer-wrap { background: #102252; display: flex; flex-direction: column; position: relative; box-sizing: border-box; width: 100%; max-width: 1264px; margin-left: auto; margin-right: auto; padding-left: 40px; padding-right: 40px; } .footer-row { display: flex; flex-wrap: wrap; column-gap: 64px; row-gap: 24px; } .footer-col { color: #fff; font-size: 14px; line-height: 16px; display: block; width: 212px; } .logo-row { display: flex; flex-direction: column; align-items: flex-start; margin-top: 56px; } .logo-row img { margin-bottom: 16px; } .logo-row span { color: #fff; } .footer-col h3 { color: #fff; font-weight: bold; font-size: 16px; line-height: 20px; margin-bottom: 8px; } .footer-col p { color: #fff; font-size: 16px; line-height: 16px; display: block; } .contactButton { margin-top: 24px; user-select: none; appearance: none; border: 1px solid #336aff; padding: 0 13.7778px; background: none #336aff; cursor: pointer; color: #fff; text-align: center; overflow-wrap: break-word; text-overflow: ellipsis; overflow: hidden; width: auto; max-width: 100%; font-size: 14px; font-weight: 600; line-height: 34px; -webkit-font-smoothing: antialiased; border-radius: 4px; min-height: 36px; min-width: 104px; display: inline-flex; -webkit-box-align: center; align-items: center; position: relative; white-space: nowrap; vertical-align: middle; -webkit-box-pack: center; justify-content: center; touch-action: manipulation; box-shadow: none; transition: background 0.1s ease-out 0s, color 0.1s ease-out 0s, border 0.1s ease-out 0s; } ul { display: block; padding: 0; margin: 0; } li { list-style-type: none; padding: 4px 0 !important; text-decoration: none; position: relative; color: #fff; text-align: left; font-size: 16px; line-height: 24px; } li a { font-size: 14px; line-height: 24px; } a { color: #ffffff; text-decoration: none; } .footer-col-logo { justify-content: flex-end; } .footer-col-copyRight, .footer-col-logo { flex: 1; display: flex; } .logo { width: 124px; height: 27px; opacity: 0.6; } p { color: #fff; font-size: 14px; line-height: 16px; text-align: left; margin-left: 100px; } /* Footer Social Media Icons */ .fa { padding: 5px; font-size: 12px; width: 10px; text-align: center; text-decoration: none; border-radius: 50%; } .fa-facebook { background: #102252; color: white; } .fa-twitter { background: #102252; color: white; } .fa-linkedin { background: #102252; color: white; } .fa-instagram { background: #102252; color: white; } .fa:hover { opacity: 0.7; } h1 { font-size: 24px; color: #102252; font-weight: bold; } h2 { font-size: 20px; color: #102252; font-weight: bold; } h3 { font-size: 16px; color: #102252; font-weight: bold; } @media screen and (max-width: 768px) { .footer-col { width: 100%; } .footer-col ul li { text-align: center; } } /*# sourceMappingURL=styles.css.map */ window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-ZFL055FVHM'); // <![CDATA[ (function(d,e,c,i,b,el,it) { d._da_=d._da_||[];_da_.oldErr=d.onerror;_da_.err=[]; d.onerror=function(){_da_.err.push(arguments);_da_.oldErr&&_da_.oldErr.apply(d,Array.prototype.slice.call(arguments));}; d.DecibelInsight=b;d[b]=d[b]||function(){(d[b].q=d[b].q||[]).push(arguments);}; el=e.createElement(c),it=e.getElementsByTagName(c)[0];el.async=1;el.src=i;it.parentNode.insertBefore(el,it); })(window,document,'script','https://cdn.decibelinsight.net/i/14149/1483235/di.js','decibelInsight'); // ]]>

Product Documentation

Nearmap AI

About Nearmap AI
Nearmap AI is a product suite built on a rich layer of automated content that uses machine learning to turn Nearmap imagery into information. In this section Learn about Nearmap AI AI Offline Products How to Use AI Data Effectively AI Generations AI Packs AI Layer Glossary
AI Offline
These offline deliveries are available as two distinct products: AI Offline Vector AI Offline Raster Bulk updates on large areas, such as whole states or countries, are better suited to the level of control allowed by the AI Feature API, due to the complexity of defining and delivering large data sets that span many…
About AI Packs
AI Packs control the content you have access to in Nearmap AI. Adding AI Packs to your subscription will determine the AI Layers that will be made visible in MapBrowser, and what data is present in your online exports.AI content consists of several data layers, which are made available through individual AI Packs. For…
About AI Generations
As we continue to innovate and improve Nearmap AI, we mark major changes in performance and capability with a new "generation" of content. This section provides a description of the new performance, features and content introduced with each generation of Nearmap AI data. Multiple generations will be available for export at…
AI Layer Glossary
Overview Nearmap AI contains a rich and continually growing library of content. AI Layers are the most basic unit of content; they feed into all of our AI data products, can be ordered as an offline data delivery, and in some cases can be visualised within MapBrowser. The AI Layer Glossary provides a list of all AI Layers…
Use AI Data Effectively
Nearmap derives its AI data from the latest available aerial imagery, which is consistent across our coverage areas due to our advanced and technically superior capture program. To get the most out of Nearmap AI, use it to: Refine and correct your existing data by comparing it with one that is updated frequently and…
Overview of Nearmap AI
AI Data Layers Nearmap AI provides a way for users to access additional pre-processed data layers within MapBrowser. These layers are full resolution AI content available on Nearmap's Vertical imagery for Australia and the US. AI data layers can be used along with the attributes covered by your subscription, and optionally…
How to Get AI Offline
To set up a one-off or recurring offline delivery, contact your Account Manager and provide the following information: Information about the Area of Interest (AOI) : Either a geospatial file of the boundary, or an area that is clearly defined by a boundary, such as a county name. Information about dates and timing : Most…
AI Pack: Building Footprints
Description The Building Footprints pack provides access to information about the presence and shape of a wide variety of building types - from residential homes to large commercial and industrial buildings. Each building footprint is a polygon, which represents a simplified boundary for the perimeter of a building. It…
Generation 5 AI Content
Overview Gen 5 introduces a large number of new AI Layers, which brings the total number of raster layers to 80! This has resulted in a similar number of vectorised layers being available. The Gen 5 training dataset has increased by 2.6 times and has been focused on reducing uncertainty. We have also introduced the concept…