Eyes on Earth tackles artificial intelligence (AI) in a 2-part episode. AI is quickly becoming a necessary part of geospatial work at EROS, helping us efficiently do science to better manage our world. In Part 1, EROS Director Pete Doucette discusses AI and its current and upcoming impact on our work at EROS.
NLCD: Landscape Info Supporting our Safety and Economic Well-being
Browse examples from energy to agriculture
Hurricane flooding. City planning. A new natural gas pipeline. Preparing for future events—whether sudden or expected—requires high-quality data to ensure our safety, economic well-being and business needs.
The National Land Cover Database (NLCD) is a proven data source filling the need in these circumstances and many others for the private sector, all levels of government and universities.
NLCD mapping—now improved thanks to artificial intelligence (AI) innovations and renamed Annual NLCD—puts a label on what’s covering the land across the United States, from fields and forests to cities and grasslands. Prior to 2024, NLCD offered land cover information every two to three years dating back to 2001. Annual NLCD provides a look at yearly changes to the land cover even earlier, to 1985. Its primary, crucial source of data continues to be the Landsat satellite record.
NLCD and now Annual NLCD, based at the USGS Earth Resources Observation and Science (EROS) Center, are part of a larger suite of land cover mapping and monitoring data produced by the Multi-Resolution Land Characteristics (MRLC) consortium, a group of federal agencies that coordinate and generate consistent and relevant land cover information at the national scale.
It would be impossible to recount all the different uses people have found for NLCD data, which often serves in the background as a foundational ingredient to digital tools, modeling and more. But this graphic (right) gives an idea of the amount of public attention NLCD has received.
Below you’ll find just a small sample of recent ways in which open-access NLCD data has been used to meet the needs of society.
Energy, Minerals & Utilities | Property Risks | Agriculture | Land Use Planning | City Environments
NLCD’s land cover information helps inform efforts to develop new and expanding sources of minerals, energy and utilities within the United States to meet the needs of a growing population and growing industries.
In one example, the natural gas 303-mile Mountain Valley Pipeline began flowing in 2024 to customers in West Virginia and Virginia. NLCD contributed to several aspects of the Environmental Impact Statement for the pipeline, including the classification of vegetation types along the pipeline routes, such as for habitat evaluation; land use types affected by construction; land use types to help define baseline sediment condition; and vegetation that could potentially screen the pipeline from historic resources. (The pipeline is shown under excavation in the background photo.)
SoftWright LLC provides radio frequency software, Terrain Analysis Package (TAP), to a variety of customers, including federal agencies, public safety departments, energy companies and utilities. TAP’s inclusion of NLCD land cover data that was released in 2023 helps indicate where buildings and vegetation may interfere with radio signals.
Lithium is a mineral valued for use in the consumer electronics, automotive and pharmaceutical industries, among others. Companies aim to increase lithium extraction in the United States, including Albemarle, which proposes to resume open pit mining at the legacy Kings Mountain Mine in North Carolina. Albemarle Corporation used NLCD to indicate the land cover types found in the area for a draft environmental assessment prepared in 2024.
Exelon, the largest utility company in the United States, transmits and distributes electricity and natural gas to markets in the eastern United States and northern Illinois. Exelon produced maps of its utility service areas in 2023 that relied heavily on NLCD for the resulting analysis of biodiversity sensitivity in those areas.
The United States is a land of great variety—including a variety of natural disasters. Wildfires may dominate the news one day, followed by a hurricane the next and flooding after that. Hurricanes tend to be the most expensive types of disasters, capable of causing billions of dollars in damage to homes, infrastructure, businesses and other buildings.
Land cover classifications are useful for hurricane modeling, which can help the insurance industry manage risks in states affected by hurricanes. The state Florida Commission on Hurricane Loss Projection Methodology standards expect hurricane models to use a land use and land cover database that’s consistent with NLCD data. For example, when Applied Research Associates Inc. released the newest version of its HurLoss Hurricane Catastrophe Model software, a 2024 press release pointed out the inclusion of an updated version of NLCD as a key data source. Moody’s North Atlantic Hurricane Models use NLCD to validate Moody’s Risk Management Solutions’ land use and land cover database and to identify regional changes, according to its 2023 submission documentation.
First Street Technology Inc. used NLCD data in creating its natural hazard models for residential and business addresses across the United States, with NLCD contributing to its risk models for wind, heat, wildfire and flooding. Industries such as insurance and finance have found First Street data useful, along with real estate. Prospective homebuyers can access the First Street hazard risk factor scores for properties for sale on Realtor.com and fellow real estate website Zillow. In 2024, Zillow added the risk scores, and Realtor.com expanded beyond flood and wildfire to include the remaining risk scores.
The Hazus Program in the Federal Emergency Management Agency (FEMA) identifies areas that are at high risk of natural hazards and estimates the potential losses from hazards. The 2024 Hazus Inventory Technical Manual lists NLCD as contributing foundational data. NLCD data also helps determine whether conditions have changed over time for river and coastal areas to warrant new flood studies.
Agriculture and food industries make up a significant part of many states’ economies, along with the United States as a whole. The U.S. Department of Agriculture’s National Agricultural Statistics Service produces the Cropland Data Layer annual map, based on satellite imagery, of crop types in fields across the United States. This provides acreage estimates for major commodities and additional digital products based on specific crops. The non-crop areas on the map, such as forests and cities, are classified using NLCD data.
NLCD allows users to compare how specific land cover types, like cropland, have changed in area over time. It can show where cropland has been lost to expanding cities, barren land, forest, shrubland, grasses or wetlands, which can be useful information for city and state land use planning as well as the agriculture industry.
One 2024 Ohio State University study earned attention when it used NLCD to determine that 51% of the cropland loss in Ohio from 2001 to 2021, more than 180,000 acres, could be attributed to development, or land that’s covered with artificial surfaces impervious to water such as pavement and buildings. Another 2024 Ohio State University study examining eight Midwest states using NLCD for the same time period found a similar result, with 55% of cropland loss attributed to development, most occurring in Metropolitan Statistical Areas (MSAs).
To help with grazing management in western states, Rangeland Condition Monitoring Assessment and Projection (RCMAP) mapping serves as a complement to NLCD. RCMAP provides much greater detail about the condition and trends of rangeland. The Western Landowners Alliance published an overview of online tools for range health in 2022, which included RCMAP.
NLCD has many nationwide applications, but it’s equally useful at a more local level, to provide information that county and city planners and policy makers can rely on at no expense to their tight budgets.
GeorgiaView is part of the AmericaView network of state members working to advance Earth observation education for all ages. Based at the University of West Georgia, GeorgiaView’s Georgia Land Cover Image Atlas Series relies on NLCD land cover data for maps in the series’ volumes, up to 2023 so far. The atlases help inform officials at all levels of government about land cover types down to the county level and the amount of change in developed areas in a decade, among other details. (Background photo: Flint River, which starts in Atlanta and flows south.)
Dare County, North Carolina, has a unique geography and history. It contains much of North Carolina’s Outer Banks, including the site of the Wright Brothers’ first successful powered airplane flight, Kitty Hawk. Roanoke Island, home of the Lost Colony in the late 1500s, is also in Dare County. In 2023, the county launched a Bird’s-Eye Viewer Map that, in addition to population and economic statistics, provides NLCD land cover as a geographic feature.
The NLCD Enhanced Visualization and Analysis (EVA) Tool, updated in 2025 for Annual NLCD, allows anyone to explore and retrieve county-level land cover statistics. The EVA Tool helps people easily visualize land change in the categories of agriculture, forest, development and wetlands.
One advantage that NLCD offers is its characterization of varying amounts of urban and suburban development, which provides city planners and residents with foundational data.
In one example, the addition of two datasets to the Kinder Institute’s Urban Data Platform lets residents in the Houston, Texas, area (background photo) compare the amount of tree cover in their neighborhood to other neighborhoods, for example, and for an analysis of tree cover trends over time. The datasets, based on NLCD tree canopy cover from the USDA Forest Service, show canopy cover from 2011 to 2021 for Harris County, where Houston is located, and also for the 13-county region of the Houston-Galveston Area Council. Annual NLCD impervious data has also been added to the data platform for both geographical areas.
2NDNATURE, a company that develops software for stormwater management, uses NLCD in its Tool to Estimate Load Reduction (TELR) runoff model. TELR provides estimates of runoff and stormwater pollution. A 2024 report by 2NDNATURE and the Pacific Institute that mentioned the use of NLCD in TELR suggested that cities could capture and make use of stormwater runoff to bolster their water supplies.
NLCD also can be useful for new development projects, including transportation. For example, in preparation for a light rail extension in Seattle, Washington, NLCD was used to help identify and map land cover types along the extension for the study of species and habitat as part of a 2024 Environmental Impact Statement.
Get Our News
These items are in the RSS feed format (Really Simple Syndication) based on categories such as topics, locations, and more. You can install and RSS reader browser extension, software, or use a third-party service to receive immediate news updates depending on the feed that you have added. If you click the feed links below, they may look strange because they are simply XML code. An RSS reader can easily read this code and push out a notification to you when something new is posted to our site.