Filters: Tags: {"scheme":"None"} (X) > partyWithName: Geosciences and Environmental Change Science Center (X)
88 results (43ms)|
Filters
Date Range
Extensions Types
Contacts
Categories Tag Types Tags (with Scheme=None) |
The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in dense time series of Landsat image stacks to produce the Landsat Burned Area Essential Climate Variable (BAECV) products. The algorithm makes use of predictors derived from individual Landsat scenes, lagged reference conditions, and change metrics between the scene and reference conditions. Outputs of the BAECV algorithm consist of pixel-level burn probabilities for each Landsat scene, and annual burn probability, burn classification, and burn date composites. These products were generated for the conterminous United States for 1984 through 2015. These data are also available for download at https://rmgsc.cr.usgs.gov/outgoing/baecv/BAECV_CONUS_v1.1_2017/...
Effective monitoring and prediction of flood and drought events requires an improved understanding of how and why surface-water expansion and contraction in response to climate varies across space. This paper sought to (1) quantify how interannual patterns of surface-water expansion and contraction vary spatially across the Prairie Pothole Region (PPR) and adjacent Northern Prairie (NP) in the United States, and (2) explore how landscape characteristics influence the relationship between climate inputs and surface-water dynamics. Due to differences in glacial history, the PPR and NP show distinct patterns in regards to drainage development and wetland density, together providing a diversity of conditions to examine...
Geospatial data were developed to characterize pre-fire biomass, burn severity, and biomass consumed for the Black Dragon Fire that burned in northern China in 1987. Pre-fire aboveground tree biomass (Mh/ha) raster data were derived by relating plot-level forest inventory data with pre-fire Landsat imagery from 1986 and 1987. Biomass data were generated for individual species: Dahurian larch (Larix gmelinii Rupr. Kuzen), white birch (Betula platyphylla Suk), aspen (Populus davidiana Dode and Populus suaveolens Fischer), and Mongolian Scots pine (Pinus sylvestris var. mongolica Litvinov). A raster layer of total aboveground tree biomass was also generated. Burned area was manually delineated using the normalized...
This U.S. Geological Survey (USGS) data release provides monazite and xenotime geochronology from Proterozoic rocks collected from outcrop in central Colorado and whole rock isotope geochemistry, and zircon and monazite geochronology from a Proterozoic rock sampled from a drill core from western Colorado. The drill core sample was collected from the 1 Paradox Valley injection core near Bedrock, CO at a depth of 4,755-4,765 m below the surface. The samples were in order to constrain the age, provenance, metamorphic history, and geochemical character of basement terranes in Colorado.
Categories: Data;
Tags: Colorado,
Geochemistry,
USGS Science Data Catalog (SDC),
USGS:63bed9e9d34e92aad3cda906,
geochemistry,
In support of U.S. Geological Survey (USGS) Southwest Biological Science Center researchers, and in coordination with the Bureau of Land Management (BLM) and National Ecological Observatory Network (NEON), the USGS National Uncrewed Systems Office (NUSO) conducted uncrewed aircraft systems (UAS) remote sensing flights over two BLM Assessment, Inventory, and Monitoring (AIM) plots at the NEON Moab site in Utah for multi-scale carbon sequestration research on public lands. The UAS data collected include natural color, multispectral, and hyperspectral imagery, and lidar to capture diverse information about vegetation and soils on drylands. The first site (“site 1”) features intact sagebrush and was mapped on May 3,...
In support of U.S. Geological Survey (USGS) Southwest Biological Science Center researchers, and in coordination with the Bureau of Land Management (BLM) and National Ecological Observatory Network (NEON), the USGS National Uncrewed Systems Office (NUSO) conducted uncrewed aircraft systems (UAS) remote sensing flights over two BLM Assessment, Inventory, and Monitoring (AIM) plots at the NEON Moab site in Utah for multi-scale carbon sequestration research on public lands. The UAS data collected include natural color, multispectral, and hyperspectral imagery, and lidar to capture diverse information about vegetation and soils on drylands. The first site (“site 1”) features intact sagebrush and was mapped on May 3,...
This dataset is intended to provide seamless, integrated geologic mapping of the U.S. Intermountain West region as a contribution to The National Geologic Map supported by the National Cooperative Geologic Mapping Program of the U.S. Geological Survey. Surficial and bedrock geology are included in this data release as independent datasets at a variable resolution from 1:50,000 to 1:250,000 scale. No original interpretations are presented in this dataset; rather, all interpretive data are assimilated from referenceable publications. Derivative polygon features created for this dataset demonstrate the distribution of SIGMa-GeMS Geologic Provinces derived from the distribution of map units. Initial contributions to...
Plot-level field data were collected in the summer of 2014 to estimate aboveground and belowground biomass in the Great Dismal Swamp National Wildlife Refuge and Dismal Swamp State Park in North Carolina and Virginia. Data were collected at 85 plots. The location of the center of each plot was recorded with a Trimble ProXH global positioning system (GPS) and differentially corrected. Data files included 1: GDS_plots.csv, 2. GDS_FWD.csv, 3. GDS_LWD.csv, 4. GDS_Shrubs.csv, 5. GDS_Trees.csv, and 6. GDS_plot_summaries.csv. The data contained in GDS_plot_summaries.csv were calculated from the GDS_plots.csv, GDS_FWD.csv, GDS_LWD.csv, GDS_Shrubs.csv, GDS_Trees.csv files using the R statistical software environment (R Core...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Biomass,
Botany,
Cover,
Duff,
Ecology,
Karst systems are useful for examining spatial and temporal variability in Critical Zone processes because they provide a window into the subsurface where waters have interacted with vegetation, soils, regolith, and bedrock across a range of length and time scales. The majority of Critical Zone research has emphasized silicate lithologies, which are typified by relatively slow rates of reactivity and incongruent weathering. However, weathering of carbonate dominated lithology can result in secondary mineral deposits, such as speleothems, which provide a long-term archive for Critical Zone processes. Examination of carbon isotope variability in speleothems has the potential to provide records of changes in vegetation,...
Categories: Data;
Tags: Blue Springs Cave,
Tennessee,
USGS Science Data Catalog (SDC),
White County,
carbon,
This digital geospatial compilation gathered paleoflow indicators from current-formed sedimentary structures throughout the Paleozoic Ozark uplift, Arkoma foreland basin, and Ouachita fold-thrust-belt of eastern Oklahoma and western Arkansas from existing publications. This dataset consists of unidirectional and bidirectional paleocurrents observed from a variety of bedform types represented by approximately 9,958 individual measurements and 665 calculated means (one .csv file) plotted as points (one .shp file) with subordinate Ordovician-Silurian and primarily Mississippian-Pennsylvanian ages.
This release contains geospatial data digitized from the Map Showing Geology, Structure, and Oil and Gas Fields in the Sterling 1x2 Degree Quadrangle, Colorado, Nebraska, and Kansas (Scott, 1978) and was compiled as part of the National Geologic Synthesis project. The geospatial data depicts the geology of this quadrangle, which is dominated by Quaternary alluvial and aeolian deposits overlying Tertiary and Cretaceous sedimentary rock, including the Ogallala formation, the Fox Hills sandstone, and the Pierre shale. The included database includes spatial data depicting the locations of mapped geologic contacts and faults, polygons denoting the mapped surficial extent of geologic formations, and structural contours...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arikaree formation,
Colorado,
Federal Geographic Data Committee,
Fox Hills sandstone,
GeMS,
The U.S. Geological Survey (USGS) has generated land surface form classes for the contiguous United States. These land surface form classes were created as part of an effort to map standardized, terrestrial ecosystems for the nation using a classification developed by NatureServe (Comer and others, 2003). Ecosystem distributions were modeled using a biophysical stratification approach developed for South America (Sayre and others, 2008) and now being implemented globally (Sayre and others, 2007). Land surface forms strongly influence the differentiation and distribution of terrestrial ecosystems, and are one of the key input layers in the ecosystem delineation process.The methodology used to produce these land surface...
This digital data release presents multiple previously published elements of the structural configuration of the Black Hills regional subsurface. The original data within this geodatabase is sourced from multiple U.S. Geological Survey Open File Reports into the hydrology of the Black Hills, stored on the USGS Water Mission Area NSDI Node (Driscoll, 1992; Strobel et al., 1999; Williamson et al., 2000). Data include mapped surface exposures of faults and fold hinges, the location and depth of 1025 formation tops of the Madison Group, Minnelusa Formation, and Minnekahta Formation from water well scout tickets, isopach contours of the Madison Group and Minnelusa Formation, and structure contour maps of the top of the...
Categories: Data;
Tags: Black Hills,
Deadwood Formation,
Economic Geology,
Energy Resources,
Formation Tops,
This U.S. Geological Survey (USGS) data release provides whole rock major, minor, and trace element geochemical data and zircon U-Pb geochronology and trace element concentrations for samples from pre-ignimbrite volcanoes within the San Juan locus of the mid-Cenozoic Southern Rocky Mountain volcanic field, Colorado. Samples were collected in order to constrain the evolution of the pre-ignimbrite magmatic system.
Categories: Data;
Tags: Colorado,
Geochemistry,
USGS Science Data Catalog (SDC),
United States,
geochemistry,
We assessed a construction site in the northern Las Vegas Valley that was initially reported as an "ice age" deposit. Alluvial deposits exposed at the site were inset into the Las Vegas Formation and contained semi-articulated Equus remains. Calibrated radiocarbon dates on two different materials associated with the remains centered on 1957, thus rendering the horse bones as modern.
Categories: Data;
Tags: Climatology,
Equus,
Las Vegas Valley,
Nevada,
USGS Science Data Catalog (SDC),
The storage and persistence of soil organic matter (SOM) is of critical importance to soil health, and to the terrestrial carbon cycle with implications for long-term climate change. To better understand the spatio-temporal controls on SOM, we have developed a new dataset spanning two previously described marine terrace soil chronosequences from northern, CA, USA: the Santa Cruz and the Mattole River chronosequences. Each of these sites, is comprised of several terraces surfaces that span at least 200 ka of soil development. The sites differ with regard to local precipitation, with the Mattole site receiving nearly double the mean annual precipitation of the Santa Cruz site. During the period from 2011 through 2016,...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: California,
Geochemistry,
Land Use Change,
Land Use Change,
Petrolia,
The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in temporally dense time series of Landsat Analysis Ready Data (ARD) scenes to produce the Landsat Burned Area Products. The algorithm uses predictors derived from individual ARD Landsat scenes, lagged reference conditions, and change metrics between the scene and reference conditions. Scene-level products include pixel-level burn probability (BP) and burn classification (BC) images corresponding to each Landsat image in the ARD time series. Annual composite products are also available by summarizing the scene-level products. Prior to generating annual composites, individual scenes that had > 0.010 burned proportion...
Categories: Data,
Data Release - Revised;
Tags: Burned area,
Landsat,
Prescribed fire,
USGS Science Data Catalog (SDC),
United States,
This geologic map area of 5,430 km2 spans a reach of the lower Missouri River valley and adjoining uplands for about 100 kilometers east of Gavins Point Dam, the easternmost mainstem dam on the Missouri River. Understanding the surficial geologic history of the valley is relevant to natural resource management of the Missouri National Recreational River and is foundational to improved understanding of hydrology and ecology. This geodatabase is a synthesis of recent FEDMAP, EDMAP, and STATEMAP work of the National Cooperative Geologic Mapping Program with previously published maps of the geologic surveys of South Dakota, Nebraska, Iowa, and the USGS. Other data sources utilized for this map include NAIP ortho-imagery...
This data release includes a table of concentrations (Sr, U) and radiogenic-isotope compositions (87Sr/86Sr, 234U/238U) for samples of modern lake water as well as a table of isotopic compositions (87Sr/86Sr and 234U/238U) for carbonate-rich samples from a 12.4-m-long composite core of lacustrine sediment from Lower Pahranagat Lake in southeastern Nevada, USA. Stratigraphic and geochronologic context for depths and ages of core material are also included here based on Bayesian age-depth modeling software (Bacon v. 2.2) published in a previous report (Theissen et al., 2019, https://doi.org/10.1017/qua.2019.11).
Interpretations of post-fire condition and rates of vegetation recovery can influence management priorities, actions, and perception of latent risks from landslides and floods. In this study, we used the Waldo Canyon fire (2012, Colorado Springs, Colorado, USA) as a case study to explore how a time series (2011-2016) of high-resolution images can be used to delineate burn extent and severity, as well as quantify post-fire vegetation recovery. We applied an object-based approach to map burn severity and vegetation recovery using Worldview-2, 3, and QuickBird-2 imagery. The burned area was classified as 51% high, 20% moderate and 29% low burn-severity. Across the burn extent, the shrub cover class showed a rapid recovery,...
|
|
