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National Land Cover Database (NLCD) 2001 Land Cover Conterminous United States Disclaimer: this is an historic version of NLCD provided for research and citation purposes. Different release dates of NLCD cannot be used with other release dates for correct analysis. Each release of NLCD generates a complete set of directly comparable products. These products must be used together for correct analysis. You can find the latest suite of synced products at www.mrlc.gov. The National Land Cover Database 2001 land cover layer for mapping zones 01-66 was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Base Maps, Coastal Zone, Earth Cover, GIS, Land Cover, All tags... Land Use Change, U.S., U.S. Geological Survey, US, US West Coast, USGS, USGS Science Data Catalog (SDC), United States, WA, Washington, digital spatial data, imagery, zone 01, Fewer tags National Land Cover Database (NLCD) 2016 Accuracy Assessment Points Conterminous United States The National Land Cover Database (NLCD) is a land cover monitoring program providing land cover information for the United States. NLCD2016 extended temporal coverage to 15 years (2001–2016). We collected land cover reference data for the 2011 and 2016 nominal dates to report land cover accuracy for the NLCD2016 database 2011 and 2016 land cover components. We measured land cover accuracy at Level II and Level I, and change accuracy at Level I. For both the 2011 and 2016 land cover components, single-date Level II overall accuracies (OA) were 72% (standard error of ±0.9%) when agreement was defined as match between the map label and primary reference label only and 86% (± 0.7%) when agreement also included the alternate... Tags: Accuracy assessment, Land cover, Land cover change, NLCD, Reference data quality, All tags... U.S., US, United States, United States, imageryBaseMapsEarthCover, Fewer tags One Meter Topobathymetric Digital Elevation Model for Majuro Atoll, Republic of the Marshall Islands, 1944 to 2016 Located in the northern tropical Pacific Ocean, Majuro is the capital of the Republic of the Marshall Islands. Majuro Atoll consists of a large, narrow landmass and a set of smaller perimeter islands surrounding a lagoon that is over 100 square miles in size. The waters surrounding the Majuro Atoll land areas are relatively shallow with poorly mapped bathymetry. However, the Pacific Ocean on the exterior of the coral atoll and the lagoon within its interior consist of deep bathymetry with steep slopes. The highest elevation of the Majuro Atoll is estimated at only 3-meters above sea level, which is the island community of Laura located on the western part of the atoll. At the eastern edge of the atoll lies the capital... Categories: Data; Tags: 3D Elevation Program, 3DEP, American Society of Photogrammetry and Remote Sensing, Base Maps, Bathymetric, All tags... Bathymetry, Calalin, Calalin Channel, CoNED, Coastal National Elevation Database, Coastal Zone, DEM, DTM, Digital Elevation Model, Digital Terrain Model, Djarrit, Earth Cover, Geography, Geomorphology, Hydrologic, Hydrologic Modeling, Information Sciences, Laura, Lidar Bathymetry, Light Detection and Ranging, Majuro, Majuro, Majuro Atoll, Majuro Atoll, Majuro Atoll, Majuro Atoll, Multi-beam Sonar, National Standards for Spatial Digital Accuracy, Pacific Islands, Pacific Ocean, RMI, Remote Sensing, Republic of the Marshall Islands, Republic of the Marshall Islands, Republic of the Marshall Islands, Republic of the Marshall Islands, Rita, SDB, Satellite-derived bathymetry, SfM, Single-beam Sonar, Structure from Motion, TBDEM, Topobathy, Topobathymetric, Topobathymetric Digital Elevation Model, Topobathymetric Lidar, U.S., U.S. Geological Survey, USA, USGS, USGS Science Data Catalog (SDC), United States, Water Resources, Western Pacific, Western Pacific Islands, lidar, Fewer tags Switchgrass waterway buffers in the eastern Great Plains Switchgrass (Panicum virgatum L.), a highly productive perennial grass, has been recommended as one potential source for cellulosic biofuel feedstocks. Previous studies indicate that planting perennial grasses (e.g., switchgrass) in high topographic relief cropland waterway buffers can improve local environmental conditions and sustainability. The main advantages of this land management practice include (1) reducing soil erosion and improving water quality because switchgrass requires less tillage, fertilizers, and pesticides; and (2) improving regional ecosystem services (e.g., improving water infiltration, minimizing drought and flood impacts on production, and serving as carbon sinks). In this study, we mapped... Tags: Energy Resources, Land Use Change, Remote Sensing, USGS Science Data Catalog (SDC), cellulosic biofuel, All tags... crop, erosion, riparian zones, switchgrass, watershed management, waterway, Fewer tags Long-term field observation of shrubland ecosystem in Wyoming, USA from 2008-2018 The importance of monitoring shrublands to detect and understand changes through time is increasingly recognized as critical to management. This dataset focuses on ecological change observation over ten years of field observation at 134 plots within two sites that are located in Southwestern of Wyoming, USA from 2008-2018. At sites 1 and 3, 134 long-term field observation plots were measured annually from 2008 to 2018. General plot locations were selected in 2006 using segments and spectral clusters on QuickBird imagery to identify the best locations for representing the variability of the entire site (one QuickBird image). Ground measurements were conducted using ocular measurements with cover was estimated from... Categories: Data; Tags: Land Use Change, Landsat Path/Row, Landsat time-series, Southwest Wyoming, U.S., All tags... US, USGS Science Data Catalog (SDC), United States, WY, Wyoming, climate change, field observation, fractional components, heat flow (earth), image collections, imageryBaseMapsEarthCover, land use change, long-term monitoring, multispectral imaging, plant community, shrubland, shrubland ecosystem, trends, Fewer tags Inundation Exposure Assessment for Majuro Atoll, Republic of the Marshall Islands Low-lying island environments, such as the Majuro Atoll in the Republic of the Marshall Islands, are particularly vulnerable to inundation (coastal flooding) whether the increased water levels are from episodic events (storm surge, wave run-up, king tides) or from chronic conditions (long term sea-level rise). Land elevation is the primary geophysical variable that determines exposure to inundation in coastal settings. Accordingly, coastal elevation data are a critical input for assessments of inundation exposure and vulnerability. Previous research has demonstrated that the quality of data used for elevation-based assessments must be well understood and applied to properly model potential impacts. The vertical... Categories: Data; Tags: Atoll, Calalin Channel, Central Pacific, Coastal Flooding, Djarrit, All tags... Episodic Events, Geography, Inundation Vulnerability, King Tides, Laura, Majuro, Majuro Atoll, Pacific Islands, Pacific Ocean, Remote Sensing, Republic of the Marshall Islands, Sea Level Rise, Topobathymetric Digital Elevation Model (TBDEM), USGS Science Data Catalog (SDC), Vertical Uncertainty, boundaries, elevation, geoscientificInformation, Fewer tags Potomac River Topobathymetric Lidar Validation Survey Data U.S. Geological Survey (USGS) scientists completed a multidisciplinary data collection effort during the week of October 21-25, 2019, using new technologies to map and validate bathymetry over a large stretch of the non-tidal Potomac River. The work was initiated as an effort to validate commercially-acquired topobathymetric light detection and ranging (lidar) data funded through a partnership between the USGS and the Interstate Commission on the Potomac River Basin (ICPRB). The goal was to compare airborne lidar data to bathymetric data collected through more traditional means (boat-based sonar, wading Real Time Kinematic Global Navigational Satellite System (RTK-GNSS) surveys) and through unmanned aerial systems... Tags: 3D Elevation Program, 3DEP, Brunswick Family Campground, GNSS, Geography, All tags... Geomorphology, Global Navigational Satellite System, Ground Based Lidar, Harpers Ferry, Hydrology, Lidar, Lidar Validation, Light Detection and Ranging, Millville Dam, NGP Inland Bathymetry Research, National Geospatial Program, Point of Rocks, Potomac River, Remote Sensing, Shenandoah River, Shepherdstown, State of Maryland, State of Virginia, State of West Virginia, Terrestrial Laser Scanning, Topobathy, Topobathymetric Lidar, Total Station, U.S. Geological Survey, USGS, USGS Science Data Catalog (SDC), Water Resources, White's Ferry, elevation, geoscientificInformation, location, Fewer tags National Land Cover Database (NLCD) 2011 Land Cover Conterminous United States (ver. 2.0, May 2024) Disclaimer: this is an historic version of NLCD provided for research and citation purposes. Different release dates of NLCD cannot be used with other release dates for correct analysis. Each release of NLCD generates a complete set of directly comparable products. These products must be used together for correct analysis. You can find the latest suite of synced products at www.mrlc.gov. The National Land Cover Database 2011 (NLCD2011) USFS percent tree canopy product was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium (www.mrlc.gov). The MRLC Consortium is a partnership of federal agencies, consisting of the U.S. Geological Survey, the National... Tags: Continuous, Digital Spatial Data, GIS, Percent Tree Canopy, Remote Sensing, All tags... Tree Canopy Cover, U.S., U.S. Forest Service, U.S.A., US, USA, USFS, USGS Science Data Catalog (SDC), United States, United States of America, imageryBaseMapsEarthCover, Fewer tags National Land Cover Database (NLCD) 2016 Land Cover Science Product As part of the next generation NLCD 2016 mapping process, the NLCD research team developed a suite of intermediate products that were used to generate the final NLCD Land Cover products. Some of those products also have value as independent products and are provided here. Please read the product descriptions to understand what the product represents. Questions about the NLCD 2016 land cover product can be directed to the NLCD 2016 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details. Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: GIS, Image processing, Land Use Land Cover Theme, Land cover, N.L.C.D., All tags... NGDA, NLCD, National Geospatial Data Asset, None, U.S., U.S. Geological Survey (USGS), US, United States, biota, digital spatial data, imageryBaseMapsEarthCover, Fewer tags Landsat classification of surface water for multiple seasons to monitor inundation of playa wetlands To improve understanding of the distribution of important, ephemeral wetland habitats across the Great Plains, we documented the occurrence and distribution of surface water in playa wetland complexes for four different years across the Great Plains Landscape Conservation Cooperative (GPLCC) region. Years of research on playas has yielded multiple mechanisms and projections for sub-regions of the LCC area, but a complete, region-wide inventory and assessment has not been completed. This information is important because it informs habitat and population managers about the timing and location of habitat availability. Data representing the presence of water, percent of the area inundated with water, and the spatial... Categories: Data; Tags: Great Plains, Landsat, Remote Sensing, USGS Science Data Catalog (SDC), imageryBaseMapsEarthCover, All tags... inlandWaters, playa wetlands, remote sensing, Fewer tags Modeled 2030 land cover for the Northern Glaciated Plains ecoregion The USGS Forecasting Scenarios of Land-use Change (FORE-SCE) model was used to produce an agricultural biofuel scenarios for the Northern Glaciated Plains, from 2012 to 2030. The modeling used parcel data from the USDA's Common Land Unit (CLU) data set to represent real, contiguous ownership and land management units. A Monte Carlo approach was used to create 50 unique replicates of potential landscape conditions in the future, based on a agricultural scenario from the U.S. Department of Energy's Billion Ton Update. The data are spatially explicit, covering the entire Northern Glaciated Plains ecoregions (an EPA Level III ecoregion), with a spatial resolution of 30-meters and 22 unique land-cover classes (including... Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: FORE-SCE, Great Plains, Land Cover, Minnesota, Model, All tags... North Dakota, Northern Glaciated Plains Ecoregion, Northern Glaciated Plains Ecoregion, Parcel, Scenario, South Dakota, USGS, USGS Science Data Catalog (SDC), United States, projection, Fewer tags Gambia Land Use Land Cover 2013 This dataset is the third (circa 2013) in a series of three 1-kilometer land use land cover (LULC) time-periods datasets (1975, 2000, and 2013) aids in monitoring change in West Africa’s land resources. To monitor and map these changes, a 26 general LULC class system was used. The classification system that was developed was primarily inspired by the “Yangambi Classification” (Trochain, 1957). This fairly broad class system for LULC was used because the classes can be readily identified on Landsat satellite imagery. A visual photo-interpretation approach was used to identify and map the LULC classes represented on Landsat images. The Rapid Land Cover Mapper (RLCM) was used to facilitate the photo-interpretation... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Gambia, Land Cover, Land Use, biota, land cover, All tags... land use, land use classes, landcover, landuse, Fewer tags Estimating downscaled eMODIS NDVI using Landsat 8 in the central Great Basin shrub steppe The study's goal was to downscale 2013 250-m expedited Moderate Resolution Imaging Spectroradiometer (eMODIS) Normalized Difference Vegetation Index (NDVI) to 30 m (Gu, Y. and Wylie, B.K., 2015, Developing a 30-m grassland productivity estimation map for central Nebraska using 250-m MODIS and 30-m Landsat-8 observations, Remote Sensing of Environment, v. 171, p. 291-298)using 2013 Landsat 8 data. The eMODIS NDVI was downscaled for four periods: mid spring, early summer, late summer and mid fall. The objective was to capture phenologies during periods that correspond to 1) annual grass growth, 2) annual grass senescence, 3) the optimal NDVI profile separation between sagebrush and other shrubs in the region, and... Tags: Great Basin, Landsat, MODIS, NDVI, USGS Science Data Catalog (SDC), All tags... United States, downscale, ecological model, environment, geoscientificInformation, rangeland, remote sensing, resolution, satellite, western U.S., Fewer tags Conterminous United States Land Cover Projections - 1992 to 2100 The USGS’s FORE-SCE model was used to produce land-use and land-cover (LULC) projections for the conterminous United States. The projections were originally created as part of the "LandCarbon" project, an effort to understand biological carbon sequestration potential in the United States. However, the projections are being used for a wide variety of purposes, including analyses of the effects of landscape change on biodiversity, water quality, and regional weather and climate. The year 1992 served as the baseline for the landscape modeling. The 1992 to 2005 period was considered the historical baseline, with datasets such as the National Land Cover Database (NLCD), USGS Land Cover Trends, and US Department of Agriculture's... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: CONUS, CONUS, Conterminous, Conterminous United States, FORE-SCE, All tags... IPCC, Intergovernmental Panel on Climate Change, Land Cover, Land Use, Land Use Change, Lower 48, Model, SRES, Scenario, Special Report on Emissions Scenarios, USGS, USGS Science Data Catalog (SDC), United States, Fewer tags Near real time estimation of annual exotic herbaceous fractional cover in the sagebrush ecosystem 30m, USA, July 2020 The dataset provides a near real time estimation of 2020 herbaceous mostly annual fractional cover predicted on July 1st with an emphasis on annual exotic grasses Historically, similar maps were produced at a spatial resolution of 250m (Boyte et al. 2019 https://doi.org/10.5066/P96PVZIF., Boyte et al. 2018 https://doi.org/10.5066/P9RIV03D.), but starting this year we are mapping at a 30m resolution (Pastick et al. 2020 doi:10.3390/rs12040725). This dataset was generated using in situ observations from Bureau of Land Management’s (BLM) Assessment, Inventory, and Monitoring data (AIM) plots; weekly composites of harmonized Landsat and Sentinel-2 (HLS) data (https://hls.gsfc.nasa.gov/); relevant environmental, vegetation,... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: California, Colorado, Great Basin, Harmonized Landsat Sentinel, Idaho, All tags... Information Sciences, Land Use Change, Montana, NDVI, Nevada, Oregon, Texas brome, USGS Science Data Catalog (SDC), United States, Utah, Washington, Wyoming, annual grass, annual herbaceous, cheatgrass, exotic, geoscientificInformation, invasive, medusahead, noxious, red brome, rye brome, sagebrush, satellite, soft brome, western United States, Fewer tags National Land Cover Database (NLCD) 2016 Products (ver. 3.0, November 2023) The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released four National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, and 2011. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2016. The NLCD 2016 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2016 at 2–3-year... Categories: Data Release - Revised; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: GIS, Image processing, Land Use Land Cover Theme, Land cover, NGDA, All tags... National Geospatial Data Asset, None, U.S., U.S. Geological Survey (USGS), US, USGS Science Data Catalog (SDC), United States, biota, digital spatial data, Fewer tags National Land Cover Database (NLCD) 1992 Land Cover Conterminous United States Disclaimer: this is an historic version of NLCD provided for research and citation purposes. Different release dates of NLCD cannot be used with other release dates for correct analysis. Each release of NLCD generates a complete set of directly comparable products. These products must be used together for correct analysis. You can find the latest suite of synced products at www.mrlc.gov. The National Land Cover Database (NLCD) 1992 Land Cover layer was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric... Tags: 010, GIS, Land Cover, Land Use Change, Land Use Land Cover Theme, All tags... NGDA, National Geospatial Data Asset, U.S., U.S. Geological Survey, US, USGS, USGS Science Data Catalog (SDC), United States, digital spatial data, imageryBaseMapsEarthCover, Fewer tags Accuracy of Rapid Crop Cover Maps of Conterminous United States for 2008 - 2016 Spatially accurate annual crop cover maps are an important component to various planning and research applications; however, the importance of these maps varies significantly with the timing of their availability. Utilizing a previously developed crop classification model (CCM), which was used to generate historical annual crop cover maps (classifying nine major crops: corn, cotton, sorghum, soybeans, spring wheat, winter wheat, alfalfa, other hay/non alfalfa, fallow/idle cropland, and ‘other’ as one class for remaining crops), we hypothesized that such crop cover maps could be generated in near real time (NRT). The CCM was trained on 14 temporal and 15 static geospatial datasets, known as predictor variables, and... Tags: Land Use Change, USGS Science Data Catalog (SDC), United States, conus, crop cover mapping, All tags... modelling, near real time, Fewer tags Near-real-time Herbaceous Annual Cover in the Sagebrush Ecosystem, USA, July 2018 This dataset provides a near-real-time estimate of 2018 herbaceous annual cover with an emphasis on annual grass (Boyte and Wylie. 2016. Near-real-time cheatgrass percent cover in the Northern Great Basin, USA, 2015. Rangelands 38:278-284.) This estimate was based on remotely sensed enhanced Moderate Resolution Imaging Spectroradiometer (eMODIS) Normalized Difference Vegetation Index (NDVI) data gathered through July 1, 2018. This is the second iteration of an early estimate of herbaceous annual cover for 2018 over the same geographic area. The previous dataset used eMODIS NDVI data gathered through May 1 (https://doi.org/10.5066/P9KSR9Z4). The pixel values for this most recent estimate ranged from 0 to100% with... Tags: Bromus rubens, Bromus tectorum, California, Colorado, Desert, All tags... Ecology, Geography, Great Basin, Idaho, Land Use Change, Montana, NDVI, Nevada, Oregon, Remote Sensing, Snake River Plain, Taeniatherum caput-medusae, USGS Science Data Catalog (SDC), United States, Utah, Ventenata, Wyoming, annual grass, annual herbaceous, cheatgrass, fire, geoscientificInformation, habitat, invasive, medusahead, red brome, sagebrush, satellite, ventenata dubia, western U.S., Fewer tags Data files supporting the paper titled "Complementing data from ground-based sensors with satellite-derived products to measure ecological changes in relation to climate – lessons from temperate wetland-upland landscapes" The files on this page contain the data used for the research described in in the paper, "Challenges in complementing data from ground-based sensors with satellite-derived products to measure ecological changes in relation to climate – lessons from temperate wetland-upland landscapes" (Gallant, A.L., Sadinski, W., Brown, J.F., Senay, G.B., Roth, M.F. 2018. Sensors). Supplementary Datafile 1 contains data on evapotranspiration, vegetation response (Normalized Difference Vegetation Index), snow-off timing, growing degree units, and precipitation. Supplementary Datafile 2 contains the corner coordinates of the study blocks to which the environmental data apply. The field "BlockSite" is common to both files and can... Categories: Data; Tags: Botany, Climatology, Ecology, Remote Sensing, U.S. Midwest, All tags... USGS Science Data Catalog (SDC), Water Resources, climatology, evapotranspiration, remote sensing, snow, vegetation, wetlands, Fewer tags 1 2 3 4 »