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Collection of 4 assessments for Upland Streams and Rivers. The Condition Index ranks stream segments according to how well they meet the Desired State described qualitatively and quantitatively in the draft Integrated Science Agenda (v4). From the Condition Index, 3 assessments are derived that rank opportunities for management and restoration of conditions included in the Condition Index – Watershed Land Use, Riparian Cover, and Stream Meander. Watershed Land Use management opportunities are based on the proportion of undisturbed land in the contributing (i.e. cumulative) watershed such that stream segments meeting the Desired State are considered Maintenance opportunities (values 5-6). Those that do not meet the...
The purpose of this data set is support resource allocation decisions (i.e. where to invest conservation effort) within the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative. The Protection Opportunity action map for the Upland Hardwood (Woodland) habitat system ranks pixels (250-m) based primarily on the Upland Hardwood (Woodland) Condition Index such that unprotected sites within healthy landscapes are ranked higher than those in very fragmented landscapes. Ranks are increased by information on existing partner interest (i.e. stated priority areas), elevated risk of change by 2060, and predicted occupancy of a majority of species identified in the GCPO LCC’s draft Integrated Science Agenda (v4)....
This data represents an assessment of forest composition used in the ecological assessment of upland hardwood systems by the GCPO LCC. We used a combination of remote sensing products including 2011 National Land Cover Database (NLCD) forest classes and the 2011 MAV forest classification layer produced by the Lower Mississippi Valley Joint Venture to delineate patches of all forest types in the GCPO LCC. We used NLCD as the primary data source when assessing forests outside the GCPO LCC MAV subgeography, and the LMVJV forest classification as the primary data source for forest assessment within the MAV. NLCD was developed using 2011 Landsat TM imagery, with forest classes including only areas with trees exceeding...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: BIOSPHERE,
BIOSPHERE,
Conservation planning,
Data,
EARTH SCIENCE,
This coverage includes arcs, polygons and polygon labels that describe U.S. Geological Survey defined geologic provinces of Europe including Turkey. (Albania, Andorra, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Liechtenstein, Luxembourg, The Former Yugoslav Republic of Macedonia, Malta, Monaco, Netherlands, Norway, Poland, Portugal, Romania, San Marino, Serbia and Montenegro, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey, United Kingdom and Vatican City.) Each province has a set of geologic characteristics distinguishing it from surrounding provinces. These characteristics may include the...
Categories: Data,
pre-SM502.8;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: AL,
AN,
AU,
Adana/Sivas, Province 2079,
Adriatic Basin, Province 4058,
Album caption: Kanab sandstone. Walls about 2000 feet. Zion Canyon. Utah. Index card: Canyon walls 2,000 feet high. Zion National Park.
Categories: Image;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Lee, W.T. Collection,
National Parks,
Photographers,
Utah,
Zion National Park,
This dataset consists of 122 magnetotelluric (MT) soundings collected in 2016 in the northern Harrat Rahat, located near the holy city of Al-Madinah Al-Munawarah in Saudi Arabia. These data were collected as part of a joint project between the U.S. Geological Survey and the Saudi Geological Survey examining the volcanic hazard associated with the harrat. Imaging the 3-D electrical resistivity structure of the crust and upper mantle beneath the harrat will help in understanding the magmatic system at depth.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Earth magnetic field,
Electromagnetic surveying,
GGGSC,
Geology, Geophysics, and Geochemistry Science Center,
Geophysics,
This collection (known internally at Maryland Geological Survey as Component 8) consists of 211 infrared, 9 in. by 9 in. aerial photographs (211 unique frames) flown on a 7.5-minute U.S. Geological Survey (USGS) quadrangle basis. The photographs date from 1988-1989 and were flown or otherwise acquired by the USGS National Aerial Photograph Program (NAPP). The Maryland counties covered by these photographs include Allegany, Anne Arundel, Calvert, Cecil, Charles, Dorchester, Kent, Prince George’s, Queen Anne’s, Somerset, St. Mary’s, Talbot, Washington, and Worcester Counties. The scale of these photographs is not printed on the photographs; however, Maryland Geological Survey (MGS) calculates the scale to be approximately...
Categories: Data,
Physical Item;
Types: Collection,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ndc_collection
Publicly available geospatial data were identified, collated, and analyzed for a region of karst terrain extending from Albany to Buffalo, New York. A series of geospatial datasets were assembled to determine the location and extent of karstic rock; bedrock geology and depth to bedrock; average water-table configuration; surficial geology; soil type, thickness, and hydraulic conductivity; land cover; and closed depressions in the land surface First release: 2021 Revised: July 2022 (ver. 2.0) Revised: October 2022 (ver. 3.0) Revised: January 2024 (ver. 4.0)
Categories: Data Release - Revised;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Albany County,
Aquifer Mapping,
Basin & Hydrogeologic Characterization,
Buffalo,
Livingston County,
This dataset describes irrigation water use in Kansas in 2015. Volumes of water used, irrigated area, and average irrigation application depths are provided for three sets of subareas: (1) Irrigation water use analysis regions that include Groundwater Management Districts (GMDs) with the areas outside of GMDs divided into eastern, central, and western Kansas; (2) Regional Planning Areas (RPAs), which are 14 areas determined by the Kansas Water Office based on hydrologic and administrative boundaries, each with a set of goals outlined in the Kansas Water Vision (https://kwo.ks.gov/water-plan/water-vision); and (3) the 105 Kansas counties. Volumes of water used, irrigated area, and average application depths are also...
From August 2018 to October 2019, the U.S. Geological Survey collected spatially high-resolution water quality data as part of five shoreline synoptic surveys around the perimeters of Owasco, Seneca, and Skaneateles Lakes within the Finger Lakes Region of New York. Water-quality data were collected just below water surface utilizing YSI EXO2 multiparameter sondes and portable nitrate sensors paired with real-time GPS data as part of a HABs monitoring program in the Finger Lakes. In October 2019, water-quality data collection was paired with discrete phytoplankton grab samples on Owasco Lake and Seneca Lake. Phytoplankton grab samples were collected just below water surface with a peristaltic pump at twelve locations...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Aquatic Biology,
Contaminants, HABS,
Finger Lakes,
Limnology,
New York,
The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existing 1989, 2000, and 2010/11 LCU databases. While a crosswalk was used to update the 1989 LCU database (originally developed using a different classification system), the 2000, 2010/11, and 2020 LCU databases share the same classification, making them directly comparable from a classification standpoint. Furthermore, protocols...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Iowa,
USGS-EMA-LOW-MR Landscape Ecology,
USGS-EMA-LOW-PL Mississippi River,
Wisconsin,
aquatic vegetation,
Frequent, low-intensity wildfires were once widespread across the Southeast US, which led to a reduction in unchecked vegetation growth that provided fuel for high-intensity fires. Both intentional and unintentional fire suppression and land-use changes have reduced many of these wildfires and the fire-adapted habitats in the region over time. This loss of frequent low-intensity wildfires on the landscape also increases the severity of wildfires due to fuel buildup and the encroachment of woody species. The remaining habitats and their native species (many of which are of conservation concern) are now almost completely dependent on prescribed burns for their persistence and survival. Successful application of fire...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2020,
CASC,
Drought, Fire and Extreme Weather,
Drought, Fire and Extreme Weather,
Drought, Fire and Extreme Weather,
The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes two new mean high water (MHW) shorelines extracted from lidar data collected in 2010 and 2017-2018. Previously published historical shorelines for South Carolina (Kratzmann and others, 2017)...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Atlantic Coast,
Atlantic Coast,
Baseline,
DSAS,
Digital Shoreline Analysis System,
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Manganese,
Mohave County, Arizona
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bauxite,
Pulaski County, Arkansas
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Tooele County, Utah,
Vanadium
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Albany County, Wyoming,
Copper
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