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The U.S. Geological Survey (USGS)’s Land Cover program has leveraged methodologies from legacy land cover projects - National Land Cover Database (NLCD) and Land Change Monitoring, Assessment, and Projection (LCMAP) - together with modern innovations in geospatial deep learning technologies to create the next generation of land cover and land change information. The product suite is called, “Annual NLCD” and includes six annual products that represent land cover and surface change characteristics of the U.S.: Land Cover Land Cover Change Land Cover Confidence Fractional Impervious Surface Impervious Descriptor Spectral Change Day of Year These land cover science algorithms harness the remotely sensed Landsat...
The U.S. Geological Survey (USGS), in partnership with several federal agencies, has now developed and released seven National Land Cover Database (NLCD) products: NLCD 1992, 2001, 2006, 2011, 2016, 2019, and 2021. Beginning with the 2016 release, land cover products were created for two-to-three-year intervals between 2001 and the most recent year. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. NLCD continues to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database. The NLCD 2021 release is update based, so the Land Cover and Impervious Surface products released in...
The U.S. Geological Survey (USGS)’s Land Cover program has leveraged methodologies from legacy land cover projects - National Land Cover Database (NLCD) and Land Change Monitoring, Assessment, and Projection (LCMAP) - together with modern innovations in geospatial deep learning technologies to create the next generation of land cover and land change information. The product suite is called, “Annual NLCD” and includes six annual products that represent land cover and surface change characteristics of the U.S.: Land Cover Land Cover Change Land Cover Confidence Fractional Impervious Surface Impervious Descriptor Spectral Change Day of Year These land cover science algorithms harness the remotely sensed Landsat...
Between 2011 and 2018, numerous restoration treatments were constructed on the Straight and Braided Reaches of the Kootenai River in northern Idaho as part of the Kootenai River Habitat Restoration Project. This child item of the larger data release contains two .csv file with the data used to investigate the potential impacts of restoration treatments on suspended sediment transport within the study reach. One .csv file contains data collected between 2006 and 2023 at the upstream end of the study reach at U.S. Geological Survey (USGS) streamgage Kootenai River Below Moyie River (streamgage 12308000) and USGS site 4842231161104. The other file contains data collected between 2006 and 2023 at the downstream end...
The U.S. Geological Survey (USGS)’s Land Cover program has leveraged methodologies from legacy land cover projects - National Land Cover Database (NLCD) and Land Change Monitoring, Assessment, and Projection (LCMAP) - together with modern innovations in geospatial deep learning technologies to create the next generation of land cover and land change information. The product suite is called, “Annual NLCD” and includes six annual products that represent land cover and surface change characteristics of the U.S.: Land Cover Land Cover Change Land Cover Confidence Fractional Impervious Surface Impervious Descriptor Spectral Change Day of Year These land cover science algorithms harness the remotely sensed Landsat...
Field data for vertical water quality profiles using Yellow Spring Instruments (YSI) EXO2 sondes during daylight hours in Clear Lake, Lake County, California. This data release includes all measured environmental parameters included in the analysis. First release: April 13, 2019 Revised: October 29, 2019 (version. 2.0) Revised - January 24, 2022 (version 3.0) Revised - May 31, 2024 (version 4.0)
Categories: Data,
Data Release - Revised;
Tags: California,
Clear Lake,
Lake County,
Limnology,
United States,
These orthophotos and digital surface model (DSM) were derived from low-altitude (approximately 92-m above ground surface) images collected from Unmanned Aerial System (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring. The objective of this UAS photogrammetry data collection was to provide information on the tile-drain network in individual fields with the goal of understanding already observed patterns in runoff amount and water quality from these sites. A 3DR Solo quadcopter served as the flight vehicle, flights were pre-planned using Mission Planner, and flights were flown using Tower. Geospatial data were originally in WGS84...
Categories: Data;
Tags: Door County,
Great Lakes,
USGS Science Data Catalog (SDC),
Water Resources,
Wisconsin,
This data release contains phytoplankton data and vertical profile measurements of water quality and light in oligotrophic (low nutrient) lakes within the Adirondack Park, New York State. Data were collected between June and October 2021 at five lakes. Four lake locations (Nearshore, Open Water, Layer, Bloom) were sampled representing one of four sample types (Bottom Sediment, Surface Water, Bloom Material, Layer). Water-quality field parameters (water temperature, dissolved-oxygen concentration and percent saturation, pH, specific conductance, turbidity, chlorophyll fluorescence, phycocyanin fluorescence, and fluorescent dissolved organic material) were measured at each sampling location from the surface to the...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Adirondack Park,
Algal concentration,
Blue Mountain Lake,
Blue-green algae,
Brant Lake,
The two-dimensional (2D) hydraulic flow model International River Interface Cooperative with the Flow and Sediment Transport with Morphological Evolution of Channels solver (iRIC FaSTMECH) was used to investigate the impacts of habitat restoration treatments on hydraulic conditions in the Braided and Straight Reaches of the Kootenai River near Bonners Ferry, ID. The treatments were constructed between 2012 and 2018. Topographic surfaces from 2011, 2020, and 2022 were used to simulate hydraulic conditions before and after restoration treatments were built. Three different flow conditions (discharge and downstream water surface elevation) from the 2020 spring snowmelt hydrograph were simulated on a 5-meter model grid...
U. S. Geological Survey (USGS) scientists completed a data collection campaign from the 25th of April to the 10th of June in 2022, using various methods to record geomorphic and habitat indicators throughout 30 streams on the Delmarva Peninsula. Field methods included GNSS surveys, gravelometer-based pebble count readings, visual assessments, and riparian analyses. This metadata record contains all raw observations from the campaign as well as numerous summary metrics to be used in model development. Those "model-ready" data can be found in Delmarva_Model_Deliverable.csv in the parent item, while the two child items containing raw in-channel observations and raw survey data. Attached to this release is a data dictionary...
Categories: Data;
Tags: Chesapeake Bay,
Chesapeake Bay,
Delaware,
Delmarva Peninsula,
GPS measurement,
The U.S. Geological Survey (USGS)’s Land Cover program has leveraged methodologies from legacy land cover projects - National Land Cover Database (NLCD) and Land Change Monitoring, Assessment, and Projection (LCMAP) - together with modern innovations in geospatial deep learning technologies to create the next generation of land cover and land change information. The product suite is called, “Annual NLCD” and includes six annual products that represent land cover and surface change characteristics of the U.S.: Land Cover Land Cover Change Land Cover Confidence Fractional Impervious Surface Impervious Descriptor Spectral Change Day of Year These land cover science algorithms harness the remotely sensed Landsat...
This digital dataset contains the surface water data used for both the Salinas Valley Watershed Model (SVWM) and the Lower Salinas Valley Hydrologic Models (Salinas Valley Integrated Hydrologic Model (SVIHM) and Salinas Valley Operational Model (SVOM)). The surface water dataset includes two regions of the Salinas River Watershed; the upper region is primarily within San Luis Obispo County, California and lower region of the Salinas River Watershed is contained within Monterey County, California. Subcatchments within the Salinas River watershed were delineated using the U.S. Geological Survey (USGS) 10m digital elevation model (DEM), USGS National Hydrography Dataset Best Resolution (NHD) watershed boundaries, and...
U. S. Geological Survey (USGS) scientists completed a data collection campaign from the 25th of April to the 10th of June in 2022, using various methods to record geomorphic and habitat indicators throughout 30 streams on the Delmarva Peninsula. Field methods included GNSS surveys, gravelometer-based pebble count readings, visual assessments, and riparian analyses. These data contain all raw field metrics from the in-channel habitat assessment as well as the rapid riparian assessment. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
The U.S. Geological Survey (USGS)’s Land Cover program has leveraged methodologies from legacy land cover projects - National Land Cover Database (NLCD) and Land Change Monitoring, Assessment, and Projection (LCMAP) - together with modern innovations in geospatial deep learning technologies to create the next generation of land cover and land change information. The product suite is called, “Annual NLCD” and includes six annual products that represent land cover and surface change characteristics of the U.S.: Land Cover Land Cover Change Land Cover Confidence Fractional Impervious Surface Impervious Descriptor Spectral Change Day of Year These land cover science algorithms harness the remotely sensed Landsat...
U. S. Geological Survey (USGS) scientists completed a data collection campaign from the 26th of June to the 13th of August in 2021, using various methods to record geomorphic and habitat indicators throughout streams in the Shenandoah Valley. Field methods included GNSS surveys, gravelometer-based pebble count readings, visual assessments, and riparian analyses. This metadata record contains all raw observations from the campaign as well as numerous summary metrics to be used in model development. Those "model-ready" data can be found in Shenandoah_Model_Deliverable.csv in the parent item, while the two child items containing raw in-channel observations and raw survey data. Attached to this release is a data dictionary...
Categories: Data;
Tags: Chesapeake Bay,
Chesapeake Bay,
GPS measurement,
Shenandoah Valley,
U.S. Geological Survey,
U. S. Geological Survey (USGS) scientists completed a stream surveying campaign from the 25th of April to the 10th of June in 2022 at 100m reaches throughout 30 streams on the Delmarva Peninsula. The goal was to collect three cross sections, water surface elevation at the top and bottom of each reach, and thalweg point data at each study location to use the geomorphological surveys alongside habitat information. Together, these two sources of data can be used to create a habitat assessment of Delmarva Peninsula streams. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Categories: Data;
Tags: Chesapeake Bay,
Chesapeake Bay,
Delaware,
Delmarva Peninsula,
GPS measurement,
White sturgeon fine-scale habitat model archive, Kootenai River near Bonners Ferry, Idaho, 2017-2022
The two-dimensional (2D) hydraulic flow model iRIC FaSTMECH (Nelson, 2003) was used to simulate hydraulic conditions in the Kootenai River near Bonners Ferry, ID during white sturgeon spawning season during 2017, 2018, 2019, 2020, and 2022. Details on model development and calibration in FaSTMECH can be found in other studies (Dudunake and others, in progress; Barton and others, 2005; Barton and others, 2007; Logan and others, 2011; McDonald and others, 2016; McDonald and Nelson, 2018; McDonald and Nelson, 2020). Simulations were run with a 1-meter grid and six-hour time-steps from April 25 to August 15 of 2017, 2018, 2019, 2020, and 2022. Simulated depths and depth-averaged velocities were exported.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bonners Ferry,
Boundary,
Hydrology,
Idaho,
Kootenai,
These orthophotos and digital surface model (DSM) were derived from low-altitude (approximately 92-m above ground surface) images collected from Unmanned Aerial System (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring. The objective of this UAS photogrammetry data collection was to provide information on the tile-drain network in individual fields with the goal of understanding already observed patterns in runoff amount and water quality from these sites. A 3DR Solo quadcopter served as the flight vehicle, flights were pre-planned using Mission Planner, and flights were flown using Tower. Geospatial data were originally in WGS84...
Categories: Data;
Tags: Genesee County,
Great Lakes,
Michigan,
USGS Science Data Catalog (SDC),
Water Resources,
Electrical resistivity results from four regional airborne electromagnetic (AEM) surveys (Burton et al. 2024, Hoogenboom et al. 2023, Minsley et al. 2021 and Burton et al. 2021) over the Mississippi Alluvial Plain (MAP) were combined by the U.S. Geological Survey to produce three-dimensional (3D) gridded models and derivative hydrogeologic products. These products were first published using data from the first two AEM regional surveys, labeled with the year “2020” (Minsley et al. 2021, Burton et al. 2021). The 3D resistivity models and select derivative products were later updated by incorporating additional data from the two subsequent AEM surveys, labeled with the year “2022” (Burton et al. 2024, Hoogenboom et...
Categories: Data,
Data Release - Revised;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: 3D,
Arkansas,
Arkansas River,
GGGSC,
Geology, Geophysics, and Geochemistry Science Center,
This data release provides the U.S. Geological Survey (USGS) Spectral Library Version 7 and all related documents. The library contains spectra measured with laboratory, field, and airborne spectrometers. The instruments used cover wavelengths from the ultraviolet to the far infrared (0.2 to 200 microns). Laboratory samples of specific minerals, plants, chemical compounds, and man-made materials were measured. In many cases, samples were purified, so that unique spectral features of a material can be related to its chemical structure. These spectro-chemical links are important for interpreting remotely sensed data collected in the field or from an aircraft or spacecraft. This library also contains physically-constructed...
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