Latest Contributions by LisaBerry

we are happy to announce the availability of Sentinel-2 Explorer. Sentinel-2 Explorer joins a collection of imagery exploration apps available in ArcGIS Living Atlas of the World. Simple, Accessible, and Insightful, these apps support our mission to help democratize remote sensing data and technology and engage a broader user community. With its multispectral sensor and wide swath coverage, the Sentinel-2 mission not only offers continuity with the Landsat missions, it also expands upon them by offering greater spatial resolution and unique spectral capabilities for monitoring agriculture and vegetation around the world. Read the full article by @RobertWaterman here to learn more about the capabilities of this new application. ... View more

The Citizen Voting Age Population (CVAP) dataset from the U.S. Census Bureau reports the population that is both 18 years or older and a U.S. Citizen. This year's annual update is now available. All CVAP content within Living Atlas now contains and displays the latest vintage: 2019-2023. To find all CVAP content within Living Atlas, visit this link. There are layers, maps, and ready-to-use applications to help you explore and navigate the data within your workflows. To read the full blog by @DianaLavery1, click here.  Visit the ArcGIS Living Atlas home page to learn about what's new and how to use content. See the ArcGIS Living Atlas blog for more blog articles that help you get the most out of Living Atlas.   ... View more

We are happy to inform our user community that ArcGIS Living Atlas of the World not only provides a collection pretrained deep learning models, but also provides World Imagery as a high-resolution imagery source for automated feature extraction. Acquiring high-resolution aerial and satellite imagery may not be feasible for some organizations. Visually inspecting or hand digitizing features from imagery can be time consuming, tedious, and expensive. AI and deep learning can help save time and money by automating manual processes, but not everyone has the expertise or resources to train a deep learning model. If you are experiencing any of these limitations, we just might have a solution for you. This learning tutorial will walk you through a step-by-step workflow using a pretrained deep learning model from Living Atlas to detect building footprints from the World Imagery basemap in ArcGIS Pro. While this tutorial focuses specifically on building footprint extraction, you will find a number of pretrained deep learning models in Living Atlas that you can leverage to extract a variety of information. Find the full tutorial by @RobertWaterman here. Visit the ArcGIS Living Atlas home page to learn about what's new and how to use content. See the ArcGIS Living Atlas blog for more blog articles that help you get the most out of Living Atlas. ... View more

Esri’s NAIP Image Service has now been updated to include the NAIP 2023 imagery. With this update, our NAIP timeseries now includes NAIP annual coverage from 2010 through 2023. The 2023 coverage contains multispectral imagery at 0.3 to 0.6 meter resolution for approximately half of the Continental United States. You can reference the NAIP Coverage map to see all of the states included in the 2023 coverage, as well as the historical data accessible through the NAIP timeseries. Use the contents pane to explore years, or click on a state to view data availability information in a pop-up. You can discover and access NAIP imagery through ArcGIS Living Atlas of the World. Check out the content and full blog by @RobertWaterman here. Visit the ArcGIS Living Atlas home page to learn about what's new and how to use content. See the ArcGIS Living Atlas blog for more blog articles that help you get the most out of Living Atlas. ... View more

One of the many benefits of using Esri Vector Basemaps is the ability to make custom changes with our ArcGIS Vector Tile Style Editor (VTSE). Changes can be as simple as switching road or water colors, or hiding entire layers of features. Changes can also include customizing specific map labels. This quick tutorial by Andrew Green steps you through how to create a custom label for an area of interest using some basic JSON edits.  Visit the ArcGIS Living Atlas home page to learn about what's new and how to use content. See the ArcGIS Living Atlas blog for more blog articles that help you get the most out of Living Atlas. ... View more

The June 2024 Broadband Data Collection (BDC) is now available within ArcGIS Living Atlas. This ready-to-use layer shows fixed broadband availability for every Census Block and H3 Resolution-8 hexagonal area in the U.S. and outlying territories. The layer summarizes the June 2024 BDC data showing the number of served, underserved, and unserved Broadband Serviceable Locations (BSLs) in total and by transmission technology for a given geography. It is a composite of six sublayers – State, County, Tract, Block Group, Block, and H3 Resolution-8 hexagons – each with a related table listing all Internet Service Provider (ISP) offerings by technology and speed tier.  Visit the blog by @PatrickRyan and Steven Aviles to learn more about the layer and associated Provider Comparison App and Provier Footprint Dashboard. The new content is designed to help address the digital divide throughout the US, and can help pinpoint areas where public policy can make an impact.  Visit the ArcGIS Living Atlas home page to learn about what's new and how to use content. See the ArcGIS Living Atlas blog for more blog articles that help you get the most out of Living Atlas. ... View more

Esri is excited to announce the addition of global fishing intensity layers to ArcGIS Living Atlas of the World. These new 1-kilometer resolution multidimensional datasets are the product of Global Fishing Watch, an independent, international nonprofit organization whose purpose is to provide a global real-time view of fishing – making human activity at sea publicly accessible. Visit this blog for a quick summary of the new available layers.  Global Fishing Intensity (Year 2020) provides a global summary of vessel activity in the world’s oceans, detected from AIS tracking data, and is represented as total hours per 1km cell for the year 2020. Global Fishing Intensity – Monthly Time Series (Year 2020) provides a more granular look at fishing intensity, with monthly summaries for 2020. For a deeper dive into how the Global Fishing Watch fishing intensity layers were created, and how they can be used for monitoring and protecting the world’s oceans, visit the Global Fishing Watch: Illuminating vessel activity on the open ocean StoryMap.  Visit the ArcGIS Living Atlas home page to learn about what's new and how to use content. See the ArcGIS Living Atlas blog for more blog articles that help you get the most out of Living Atlas. ... View more