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Filters Date Range Past year (1) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Raster (3) Types Map Service (4) Downloadable (3) GeoTIFF (3) Raster (3) OGC WFS Layer (1) OGC WMS Layer (1) OGC WMS Service (1) Contacts Stephen P Boyte U.S. Geological Survey - ScienceBase Bruce K Wylie Earth Resources Observation and Science (EROS) Center Stephen Boyte (CTR) More... Tag Types Theme (6) Place (6) USGS Scientific Topic Keyword (5) Harvest Set (6) Label (2) Tag Schemes None (6) Common geographic areas (5) ISO 19115 Topic Category (6) USGS Thesaurus (1) Alexandria Digital Library Feature Type Thesaurus (1) View Results as: JSON ATOM CSV

Phenology pattern data indicating recovery trajectories of ponderosa pine forests after high-severity fires This tabular, machine-readable CSV file contains annual phenometrics at locations in ponderosa pine ecosystems across Arizona and New Mexico that experienced stand-clearing, high-severity fire. The locations represent areas of vegetative recovery towards pre-fire (coniferous/pine) vegetation communities or towards novel grassland, shrubland, or deciduous replacements. Each sampled area is associated with the point location (latitude/longitude) as well as multiple calendar year phenometrics derived from the time-series of normalized difference vegetation index (NDVI) values in the phenology software package Timesat v3.2. Categories: Data; Tags: Arizona, Ecology, Fire, Forest, Geography, All tags... NDVI, New Mexico, Phenometrics, Pinus ponderosa, Ponderosa pine, Remote Sensing, USGS Science Data Catalog (SDC), biota, fire damage, fires, forest ecosystems, forests, phenology, 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 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-derived wintertime greenness datasets and results from cover crop performance analysis within the Tuckahoe Creek watershed, Maryland, from 1984 to 2017 This metadata record documents data files, an analysis script, and results from a land-surface greenness analysis of the Tuckahoe Creek watershed, covering parts of Caroline, Queen Anne's and Talbot Counties in Maryland from 1984 to 2017. Included in this record are: 1) 34 raster datasets containing maximum wintertime greenness values on an annual basis from 1984 to 2017, 2) a script used in Google Earth Engine to create the raster datasets, 3) tabular output from vegetation biomass analysis for 1984 to 2017 using a composite cropland layer, 4) a raster of the composite cropland layer, 5) tabular output from vegetation biomass analysis by preceding summer crop type for 2008 to 2017 using year-specific annual cropland... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Agricultural BMP, Chesapeake Bay watershed, Choptank River, Cover Crop, Eastern Shore, All tags... Environmental Health, Greenness analysis, Land Use Change, NDVI, Remote Sensing, Remote Sensing, Soil Sciences, Tuckahoe River, USGS Science Data Catalog (SDC), Water Quality, inlandWaters, Fewer tags Near-real-time Herbaceous Annual Cover in the Sagebrush Ecosystem, USA, July 2019 This dataset provides a near-real-time estimate of 2019 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 June 24, 2019. This is the second iteration of an early estimate of herbaceous annual cover for 2019 over the same geographic area. The previous dataset used eMODIS NDVI data gathered through April 28, 2019 (https://doi.org/10.5066/P9ZEK5M1). The pixel values for this most recent estimate ranged from 0 to100%... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Bromus rubens, Bromus tectorum, California, Colorado, Desert, All tags... Ecology, Geography, Great Basin, Idaho, Land Use Change, Montana, NDVI, Nevada, Oregon, Remote Sensing, SageDAT-data, 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 United States, Fewer tags A Time Series of Herbaceous Annual Cover in the Sagebrush Ecosystem We integrated 250-m enhanced Moderate Resolution Imaging Spectroradiometer (eMODIS) Normalized Difference Vegetation Index (NDVI) with land cover, biogeophysical (e.g., soils, topography) and climate data into regression-tree software (Cubist®). We integrated this data to create a time series of spatially explicit predictions of herbaceous annual vegetation cover in sagebrush ecosystems, with an emphasis on annual grasses. Annual grass cover in sagebrush ecosystems is highly variable year-to-year because it is strongly dependent on highly variable weather patterns, particularly precipitation timing and totals. Annual grass cover also reflects past disturbances and management decisions. We produced 17 consecutive... Categories: Data; Tags: Bromus tectorum, California, Colorado, Great Basin, Idaho, All tags... MODIS, Montana, NDVI, National Land Cover Database, Nevada, North Dakota, Oregon, PRISM, SageDAT-data, Sagebrush, Snake River Plain, South Dakota, USGS Science Data Catalog (SDC), Utah, Wyoming, annual grass, cheatgrass, climatologyMeteorologyAtmosphere, elevation, environment, fire, geoscientificInformation, habitat, herbaceous annual cover, imageryBaseMapsEarthCover, invasive, regression-tree model, remotely sensed data, satellite, spatially explicit, time series, Fewer tags