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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 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 Early Estimates of Herbaceous Annual Cover in the Sagebrush Ecosystem (May 1, 2019) The dataset provides a spatially explicit estimate of 2019 herbaceous annual percent cover predicted on May 1st with an emphasis on annual grasses. The estimate is based on the mean output of two regression-tree models. For one model, we include, as an independent variable amongst other independent variables, a dataset that is the mean of 17-years of annual herbaceous percent cover (https://doi.org/10.5066/F71J98QK). This model's test mean error rate (n = 1670), based on nine different randomizations, equals 4.9% with a standard deviation of +/- 0.15. A second model was developed that did not include the mean of 17-years of annual herbaceous percent cover, and this model's test mean error rate (n = 1670), based... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Bromus tectorum, California, Colorado, Desert, Ecology, All tags... Geography, Great Basin, Idaho, Land Use Change, Montana, Nevada, Oregon, Remote Sensing, Snake River Plain, USGS Science Data Catalog (SDC), Utah, Wyoming, annual grass, annual herbaceous, cheatgrass, fire, geoscientificInformation, habitat, invasive, ndvi, sagebrush, satellite, Fewer tags Landsat 8 six spectral band data and MODIS NDVI data for assessing the optimal regression tree models In this study, we developed a method that identifies an optimal sample data usage strategy and rule numbers that minimize over- and underfitting effects in regression tree mapping models. A LANDFIRE tile (r04c03, located mainly in northeastern Nevada), which is a composite of multiple Landsat 8 scenes for a target date, was selected for the study. To minimize any cloud and bad detection effects in the original Landsat 8 data, the compositing approach used cosine-similarity-combined pixels from multiple observations based on data quality and temporal proximity to a target date. Julian date 212, which yielded relatively low "no data and/or cloudy” pixels, was used as the target date with Landsat 8 observations from... Categories: Data; Tags: Landsat 8, MODIS NDVI, Northeastern Nevada Temporal and Spatio-Temporal High-Resolution Satellite Data for the Validation of a Landsat Time-Series of Fractional Component Cover Across Western United States (U.S.) Rangelands Western U.S. rangelands have been quantified as six fractional cover (0-100%) components over the Landsat archive (1985-2018) at 30-m resolution, termed the “Back-in-Time” (BIT) dataset. Robust validation through space and time is needed to quantify product accuracy. We leverage field data observed concurrently with HRS imagery over multiple years and locations in the Western U.S. to dramatically expand the spatial extent and sample size of validation analysis relative to a direct comparison to field observations and to previous work. We compare HRS and BIT data in the corresponding space and time. Our objectives were to evaluate the temporal and spatio-temporal relationships between HRS and BIT data, and to compare... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Central Basin and Range, Land Use Change, MT, Montana, NV, All tags... Nevada, Northern Basin and Range, Northwestern Great Plains, Southern Rockies, USGS Science Data Catalog (SDC), United States, WY, Wyoming, Wyoming Basin, annual herbaceous, back-in-time, bare ground, big sagebrush, biota, environment, fractional components, geoscientificInformation, grass, herbaceous, imageryBaseMapsEarthCover, litter, rangelands, remote sensing, sagebrush, shrub, shrubland, shrubland ecosystems, shrublands, terrestrial ecosystems, time-series, validation, vegetation, Fewer tags 33 high-resolution scenarios of land use and vegetation change in the Great Plains Landscape Conservation Cooperative region A new version of USGS’s FORE-SCE model was used to produce unprecedented landscape projections for four ecoregions in the Great Plains (corresponding to the area represented by the Great Plains Landscape Conservation Cooperative). The projections are characterized by 1) high spatial resolution (30-meter cells), 2) high thematic resolution (29 land use and land cover classes), 3) broad spatial extent (covering much of the Great Plains), 4) use of real land ownership boundaries to ensure realistic representation of landscape patterns, and 5) representation of both anthropogenic land use and natural vegetation change. A variety of scenarios were modeled from 2014 to 2100, with decadal timesteps (i.e., 2014, 2020, 2030,... Categories: Data; Tags: FORE-SCE, Great Plains, Great Plains, Land Cover, Land Use, All tags... Model, USGS, USGS Science Data Catalog (SDC), United States, United States, Fewer tags National Land Cover Database (NLCD) 2016 Shrubland Fractional Components for the Western U.S. (ver. 3.0, July 2020) Quantifying Western U.S. shrublands as a series of fractional components with remote sensing provides a new way to understand these changing ecosystems. The USGS NLCD team in collaboration with the BLM has produced the most comprehensive remote sensing-based quantification of Western U.S. shrublands to date. Nine shrubland ecosystem components, including percent shrub, sagebrush (Artemisia spp.), big sagebrush, herbaceous, annual herbaceous, litter, and bare ground cover, along with sagebrush and shrub heights, were quantified at 30-m resolution by mapping region. Each region required extensive ground measurement for model training and validation, two scales of remote sensing data from commercial high-resolution... Categories: Data, Data Release - Revised; Tags: AZ, Arizona, Arizona Plateau, Black Hills, Blue Mountains, All tags... CA, CO, California, Chihuahuan Desert, Colorado, Colorado Plateau, Columbia Plateau, Grand Canyon, Great Basin, Gunnison, ID, Idaho, MT, Middle Rockies, Montana, ND, NE, NM, NV, Nebraska, Nevada, New Mexico, North Dakota, Northern Mountainous, OR, Oregon, Rocky Mountains, SD, SageDAT-data, Sonoran Desert, South Dakota, Southwest Tablelands, TX, Texas, Three Forks, USGS Science Data Catalog (SDC), UT, United States, Utah, WA, WY, Wasatch, Washington, Western US, Wyoming, Yellowstone, annual herbaceous, bare ground, big sagebrush, biota, environment, geoscientificInformation, grass, herbaceous, imageryBaseMapsEarthCover, litter, rangeland, sagebrush, shrub, shrubland, shrubland ecosystems, shrublands, terrestrial ecosystems, vegetation, Fewer tags Accuracy of Rapid Crop Cover Map of Conterminous United States for 2009 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... Categories: Data; Tags: USGS Science Data Catalog (SDC), United States, conus, crop cover mapping, modelling, All tags... near real time, Fewer tags