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Scenario-based simulation model projections of land use change, ecosystem carbon stocks, and ecosystem carbon fluxes for the State of California from 2001-2101 using the SyncroSim software framework, see http://doc.syncrosim.com/index.php?title=Reference_Guide for software documentation. We explored four land-use scenarios and two radiative forcing scenarios (e.g. Representative Concentration Pathways; RCPs) as simulated by four earth system models (i.e. climate models). Results can be used to understand the drivers of change in ecosystem carbon storage over short, medium, and long (e.g. 100 year) time intervals. See Sleeter et al. (2019) Global Change Biology (doi: 10.1111/gcb.14677) for detailed descriptions of...
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USGS met with 13 local groups and organizations around the Portland, Oregon region to collect information regarding the locations of beaver dams in the Tualatin Basin. The local sources had identified beaver dams between 2011 and 2019, and data were compiled by USGS into an ArcGIS shapefile. Often, the local groups did not know the GPS coordinates of beaver dams, but they had identified beaver-affected reaches during that same time period. Therefore, a second shapefile was created to include the locations of beaver activity (including beaver chews, lodges, and dams) in the Tualatin Basin. The Beaver Dam Locations ArcGIS shapefile shows the known locations of beaver dams in the Tualatin Basin. The Beaver Activity...
This data release is currently being revised, and is currently unavailable. This data set includes mosaicked aerial photographs for the Riverine Sand Mining/Scofield Island Restoration (BA-40) project for 2014. This data is used as a basemap habitat classification. If repeated, it can also serve as a visual tool for project managers to help them identify any obvious problems or land loss within their project boundary. To better evaluate the effectiveness of restoration efforts, a habitat classification was performed on specific projects to help assess landscape changes.
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Most methods for the assessment of sinkhole hazard susceptibility are predicated upon knowledge of pre-existing closed depressions in karst areas. In the United States (U.S.), inventories of existing karst depressions are piecemeal, and are often obtained through inconsistent methodologies applied at the state or county level and at various scales. Here, we present a first attempt at defining a karst closed depression inventory across the conterminous U.S. using a common methodology. Automated algorithms for extraction of closed depressions from 1/3 arc-second (approximately 10 m resolution) National Elevation Dataset (NED) were run on the U.S. Geological Survey (USGS) “Yeti” high-performance computing cluster....
This data release provides data in support of an assessment of changes in slope of the concentration-discharge relation for total organic carbon in eight major rivers at gaging stations in Connecticut from October 1972 to September 2019 (U.S. Geological Survey water years 1973 to 2019). The rivers include the Connecticut at Thompsonville (01184000), Housatonic at Stevenson (01205500), Quinebaug at Jewett City (01127000), Farmington at Tariffville (01189995), Shetucket at Willamantic (01122500), Naugatuck at Beacon Falls (011208500), Quinnipiac at Wallingford (01196500), and Salmon at East Hampton (01193500). The assessment is described in the article “An increase in the slope of the concentration discharge relation...
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These raster and tabular data were compiled to develop time series data of the lower Colorado River (LCR) vegetation greenness, water use, and phenology since the year 2000. An objective of our study was to evaluate short and long-term effects of drought and biocontrol on LCR riparian and aquatic ecosystems south of Hoover Dam. These data represent spatially explicit average Enhanced Vegetation Index (EVI2) derived evapotranspiration (ET) difference, and scaled normalized difference vegetation index (NDVI*) difference maps between two decades (2000 to 2010 and 2011 to 2020) and two 5 year periods (2000 to 2005 and 2016 to 2020). The time-series period statistics data provide estimates of the riparian woodland area...
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In cooperation with the Puerto Rico Environmental Quality Board, the U.S. Geological Survey (USGS) calculated over 40 different basin characteristics as part of preparing the Puerto Rico StreamStats application. These data were used to update the peak flow and low flow regression equations for Puerto Rico. These datasets are raster representations of various environmental, geological, and land use attributes within the Puerto Rico StreamStats 2020 study area, and will be served in the Puerto Rico StreamStats 2020 application to describe delineated watersheds. The StreamStats application provides access to spatial analytical tools that are useful for water-resources planning and management, and for engineering and...
Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Atmosphere, Hydrology, Precipitation, Precipitation Frequency, Puerto Rico, All tags...
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Temperature data were collected from ~40 portable data (temperature) loggers and two weather stations located in central North Carolina, USA during August 2015. In addition to temperature, solar radiation and wind speed data were recorded at one of the sites to estimate the effects of these climate variables on sensor bias.
There is substantial concern that bioenergy policies could swamp other considerations, such as environmental values, and lead to large-scale conversions of land from forest to crops. This study examines how bioenergy and marketed environmental rents for forestland potentially influence land use in the Midwestern US. We hypothesize that current land uses reflect market values for environmental benefits of forestland, so that the marketed component of the environmental value of land can be captured as the difference between Census land values and value of land as a timber asset. We use a multinomial logit model to estimate the land use shares of forests, crops and urban in Ohio, Indiana, and Illinois. The results...
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This data release includes three types of data used in habitat modeling, and predictions from the habitat models. (1) Predictor rasters for proportion urban development within 1-km radius, proportion exurban within 1-km radius, vector ruggedness measure (VRM) within 500-m radius, topographic position index (TPI) within 500-m radius. (2) Twenty-nine null models for space use for 29 different golden eagles. (3) Twenty-nine response variable rasters of eagle locations per cell for 29 golden eagles. (4) A raster for predicted population-level probability of habitat selection and contours for predicted population-level probability of habitat selection and contours. These data support the following publication: Tracey,...
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Invasive annual grasses, such as cheatgrass (Bromus tectorum L.), have proliferated in dryland ecosystems of the western United States, promoting increased fire activity and reduced biodiversity that can be detrimental to socio-environmental systems. Monitoring exotic annual grass cover and dynamics over large areas requires the use of remote sensing that can support early detection and rapid response initiatives. Here, we integrated in situ observations, weekly composites of harmonized Landsat and Sentinel-2 (HLS) data, maps of biophysical variables (e.g. soils and topography) and machine learning techniques to develop fractional estimates of exotic annual grass cover at a 30-m spatial resolution from 2016 to 2018....
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This data release contains predictions of stream biological condition as defined by the Chesapeake basin-wide index of biotic integrity for stream macroinvertebrates (Chessie BIBI) using Random Forest models with landscape data for small streams (≤ 200 km2 in upstream drainage) across the Chesapeake Bay Watershed (CBW). Predictions were made at eight time periods (2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019) according to changes in landcover using the National Land Cover Database (NLCD). The Chessie BIBI data used were provided by the Interstate Commission on the Potomac River Basin. Uncertainty was calculated using model prediction intervals. For complete data descriptions and data interpretation see associated...
Two example datasets are provided with permission from the National Park Service and the US Fish and Wildlife Service. The cheatgrass data set is an example of ordinal cover classes and the sago pondweed data set is an example of continuous percent cover.
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This dataset consists of several measures of landscape characteristics, each of which is summarized from raster data within spatial polygons. These spatial polygons represent the land area upstream of sampled stream reaches. These stream reaches were sampled by the Maryland Department of Natural Resources for the Maryland Biological Stream Survey program during survey rounds one, two, and four. Landscape characteristics summarized here are either represented by continuous or discrete raster layers which are summarized as the average value of a given characteristic (continuous data) or the area occupied by each class (discrete data). The continuous datasets summarized included percentage of area occupied by tree...
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Multispectral remote sensing data acquired by Landsat 8 Operational Land Imager (OLI) sensor were analyzed using an automated technique to generate surficial mineralogy and vegetation maps of the conterminous western United States. Six spectral indices (e.g. band-ratios), highlighting distinct spectral absorptions, were developed to aid in the identification of mineral groups in exposed rocks, soils, mine waste rock, and mill tailings across the landscape. The data are centered on the western U.S. and cover portions of Texas, Oklahoma, Kansas, the Canada-U.S. border, and the Mexico-U.S. border during the summers of 2013 – 2014. Methods used to process the images and algorithms used to infer mineralogical composition...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Arizona, California, Canada, Colorado, Idaho, All tags...
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This product is a 100-meter resolution raster which classifies urban lands in the conterminous United States by the year in which they were “first developed.” The classification is based on housing density by era for 1940-2010 developed by the University of Wisconsin-Madison SILVIS lab. The classification was applied by identifying a housing unit density threshold which matched current-era “development” as represented by U.S. Census Urban Areas polygons, then re-applying that threshold to former eras back to 1940. The result is a national raster (.tif format) with eight classes, for the years 1940 and before, 1950, 1960, 1970, 1980, 1990, 2000, and 2010, representing the year in which a pixel crossed the threshold...
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Observations of irrigated agricultural land within the Hualapai Valley Groundwater Basin in Arizona. Crops were verified in situ once in 2021 on May 20th; based on digitized field boundaries. Field boundaries were digitized from U.S. Department of Agriculture, National Agricultural Imagery Program images dated 2021 and supplemented with Landsat and Sentinel2 imagery collections accessed via the Sentinel Hub, Sentinel Playground (https://apps.sentinel-hub.com/sentinel-playground). Satellite images were also used to identify the length of the growing season and crop condition. Water withdrawals were calculated using the modified Blaney-Criddle model of calculating consumptive use (U.S. Bureau of Reclamation, 1992...
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Species distribution models often use climate data to assess contemporary and/or future ranges for animal or plant species. Land use and land cover (LULC) data are important predictor variables for determining species range, yet are rarely used when modeling future distributions. In this study, maximum entropy modeling was used to construct species distribution maps for 50 North American bird species to determine relative contributions of climate and LULC for contemporary (2001) and future (2075) time periods. Results indicate species-specific response to climate and LULC variables; however, both climate and LULC variables clearly are important for modeling both contemporary and potential future species ranges....
map background search result map search result map Old vs. new urban: U.S. national mapping of the year of “first development” for urban areas, from 1940-2010. Cottonwood Lake Study Area - Water Chemistry - Wells Beaver dam locations and beaver activity in the Tualatin Basin, Oregon (ver. 2.0, November 2019) Temperature observations from portable data loggers and remote environmental weather stations in North Carolina (2015) Pollinators in the Great Plains: the past role, and future outlook, of the Conservation Reserve Program in supporting honey bees datasets Predictor, null model, response variable, and habitat suitability prediction rasters for a golden eagle hierarchical Bayesian synoptic model used for habitat selection in San Diego County, California. Derived from golden eagle data collected from November 2014-February 2017 The Relative Impacts of Climate and Land-use Change on Conterminous United States Bird Species from 2001 to 2075 Plant cover data sets for implementing beta distribution based models USGS Data Release: Land change and carbon balance scenario projections for the State of California - model Basin Characteristic Rasters for Puerto Rico StreamStats, 2021 Fractional estimates of invasive annual grass cover in dryland ecosystems of western United States (2016 – 2018) Streamflow input datasets and model results using the Weighted Regressions on Time, Discharge, and Season (WRTDS) Models to estimate total organic carbon and other constituent concentrations in eight rivers in Connecticut, water years 1973 to 2019 Land Cover, Climate, and Geological conditions summarized within Maryland DNR Biological Stream Survey (MBSS) Catchments Digital map of iron sulfate minerals, other mineral groups, and vegetation of the western United States derived from automated analysis of Landsat 8 satellite data Colorado River Project: A compilation of vegetation indices, phenology assessment metrics, estimates of evapotranspiration and change maps for five reaches between Hoover and Morelos Dams on the Lower Colorado River, for nearly the last two decades Closed depression density in karst regions of the conterminous United States: features and grid data (COPY) Model predictions of biological condition for small streams in the Chesapeake Bay Watershed, USA Estimated crop irrigation water use withdrawals in Hualapai Valley Groundwater Basin, Arizona for 2021 Cottonwood Lake Study Area - Water Chemistry - Wells Temperature observations from portable data loggers and remote environmental weather stations in North Carolina (2015) Estimated crop irrigation water use withdrawals in Hualapai Valley Groundwater Basin, Arizona for 2021 Beaver dam locations and beaver activity in the Tualatin Basin, Oregon (ver. 2.0, November 2019) Predictor, null model, response variable, and habitat suitability prediction rasters for a golden eagle hierarchical Bayesian synoptic model used for habitat selection in San Diego County, California. Derived from golden eagle data collected from November 2014-February 2017 Colorado River Project: A compilation of vegetation indices, phenology assessment metrics, estimates of evapotranspiration and change maps for five reaches between Hoover and Morelos Dams on the Lower Colorado River, for nearly the last two decades Basin Characteristic Rasters for Puerto Rico StreamStats, 2021 Land Cover, Climate, and Geological conditions summarized within Maryland DNR Biological Stream Survey (MBSS) Catchments Streamflow input datasets and model results using the Weighted Regressions on Time, Discharge, and Season (WRTDS) Models to estimate total organic carbon and other constituent concentrations in eight rivers in Connecticut, water years 1973 to 2019 Model predictions of biological condition for small streams in the Chesapeake Bay Watershed, USA Plant cover data sets for implementing beta distribution based models Pollinators in the Great Plains: the past role, and future outlook, of the Conservation Reserve Program in supporting honey bees datasets USGS Data Release: Land change and carbon balance scenario projections for the State of California - model Fractional estimates of invasive annual grass cover in dryland ecosystems of western United States (2016 – 2018) Digital map of iron sulfate minerals, other mineral groups, and vegetation of the western United States derived from automated analysis of Landsat 8 satellite data The Relative Impacts of Climate and Land-use Change on Conterminous United States Bird Species from 2001 to 2075 Closed depression density in karst regions of the conterminous United States: features and grid data (COPY) Old vs. new urban: U.S. national mapping of the year of “first development” for urban areas, from 1940-2010.