Filters: Tags: {"scheme":"None"} (X) > partyWithName: Kristina G Hopkins (X) > partyWithName: U.S. Geological Survey - ScienceBase (X)
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As part of a collaborative study with the City of Raleigh, North Carolina, the U.S. Geological Survey developed a suite of high-resolution lidar-derived raster datasets for the Greater Raleigh Area, North Carolina, using repeat lidar data from the years 2013, 2015, and 2022. These datasets include raster representations of digital elevation models (DEMs), DEM of difference, the ten most common geomorphons (i.e. geomorphologic feature), lidar point density, and positive topographic openness. Raster footprints vary by year based on extent of lidar data collection. All files are available as Cloud Optimized GeoTIFF, meaning they are formatted to work on the cloud or can be directly downloaded. These metrics have been...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Geomorphology,
Hydrology,
North Carolina,
Raleigh,
Remote Sensing,
Montgomery County, Maryland Department of Environmental Protection has collected datasets to assess the health of streams since the early 1990s. Datasets include geomorphic stream cross-sectional surveys, fish and benthic macroinvertebrate counts and taxa abundance, and water chemistry data collected at the time of benthic and fish sampling (dissolved oxygen, pH, specific conductance, air temperature, and water temperature). Data span years 1992 to 2020 at five watersheds within the Clarksburg study area. Watersheds include a forested reference site (Soper), an urban site with centralized stormwater management (Crystal Rock), and three treatment watersheds (TR104, TR109, and Cabin Branch) within the Clarksburg Special...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Clarksburg,
Maryland,
Montgomery County,
Montgomery County,
USGS Science Data Catalog (SDC),
This dataset contains geomorphic metrics across 32 cross-sections at four catchments within the Clarksburg Special Protection Area in Montgomery County, Maryland. These data were derived from raw cross-sectional data collected by the Montgomery County, Maryland Department of Environmental Protection. Geomorphic metrics include channel area, bed location, channel depth, channel width, and bank movement for each bank. The catchment types included in this assessment were a majority agricultural catchment which began to be developed in 2016, a forested "control" catchment, and two urbanizing catchments with a high density of stormwater best management practices, in which cross-sectional surveys were collected pre-,...
Categories: Data;
Tags: Clarksburg,
Maryland,
Montgomery County,
USGS Science Data Catalog (SDC),
Upper Chesapeake Bay,
Rasters of positive openness and positive openness difference in the Greater Raleigh, NC Area based on 1-meter high-resolution lidar-derived digital elevation models (DEMs). This dataset contains positive openness rasters for 2013, 2015, and 2022 and one positive openness difference raster. The positive openness difference raster represents the difference in positive openness values between the years 2015 and 2022. The 2015 and 2022 positive openness rasters were selected for differencing because of the superior quality level (QL2) of base lidar data used to develop the positive openness rasters compared with the poorer quality level (QL3) of base lidar data used to develop the 2013 positive openness raster. Positive...
Aerial light detection and ranging (lidar) data were collected over the study site between April 12 – 14, 2012 as part of the Fauquier, Fairfax, Frederick (MD), and Jefferson County acquisition for FEMA Region 3 FY12 VA lidar (Dewberry 2012). Lidar points classified as ground and water were used to create a 3-m digital elevation model (DEM) clipped to the Difficult Run watershed with a 500-m buffer in ArcGIS 10.3.1 (ESRI, Redlands, CA).
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Difficult Run,
Fairfax,
Virginia,
elevation,
topography
This dataset contains digitized land use/land cover (LULC) polygons for years between 1998 and 2013 for six watersheds within and near the Clarksburg Special Protection Area located in Montgomery County, Maryland, USA. Each polygon is representative of the LULC for a specific year within 500-foot buffered watersheds. Watershed boundaries for Cabin Branch (CB), Crystal Rock (CR), Soper Branch (SB), Tributary 104 (T104), and Tributary 109 (T109) were derived using USGS topographic maps while Ten Mile Creek (TMC) was derived using Montgomery County, Maryland LiDAR data. The Habitat Digitizer Extension add-in from NOAA for ArcMap was used to customize a hierarchical classification scheme to attribute polygons delineated...
A raster of the ten most common geomorphic landscape forms in North Carolina. Common geomorphic forms were identified using light detection and ranging (lidar) derived digital elevation models (DEM) with a resolution of 30 ft. (~10m). Common forms were created using r.geomorphon, a feature in GRASS GIS (Stepinski et al., 2011; Jasiewicz et al., 2013). Geomorphon requires a user input search radius and flatness threshold. A search radius of 60 cells (1800 ft.) was used for the entire state and two different flatness thresholds values of 1 degree for portions of the state in the Blue Ridge/Piedmont ecoregion and 0.0001 degree for portions of the state in the Coastal Plain ecoregion. Stepinski, T., Jasiewicz, J.,...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: North Carolina,
geomorphology,
geomorphon,
terrain analysis
Rasters of the ten most common geomorphic landscape forms (geomorphons) were developed with 1-meter resolution for the Greater Raleigh, NC Area, based on 1-meter high-resolution lidar-derived digital elevation models representing the years 2013, 2015, and 2022. The ten geomorphons include the landscape forms representing peaks, ridges, shoulders, spurs, slopes, hollows, footslopes, valleys, pits, and flat areas. All files are available as Cloud Optimized GeoTIFF image file format, meaning they are formatted to work on the cloud or can be directly downloaded.
Datasets used to quantify and value the ecosystem service of sediment and nutrient retention for floodplains within the Difficult Run watershed located in Fairfax County, Virginia. Geospatial datasets include a digital elevation model (DEM), a hydrologically conditioned DEM, output from the USGS Stream Channel and Floodplain Metric Toolbox, and field data sets used to develop regression models to predict sediment and nutrient retention services for stream within the Difficult Run watershed.
Rasters of positive openness for the 53 hydrologic unit code (HUC) 8 watersheds in the state of North Carolina. Positive openness uses a line-of-sight approach to measure the surrounding eight zenith angles viewed above the landscape surface out to a specified distance. The central cells gets and average of the eight angles. An angle of 90 degrees would indicate a flat surface, while angles less than 90 degrees indicate a concave surface. Positive openness was calculated with the Relief Visualization Toolbox (https://iaps.zrc-sazu.si/en/rvt#v, Kokalji et al., 2011; Zakšek et al., 2011) using light detection and ranging (lidar) derived digital elevation models (DEM) with a resolution of 10 ft. (~3m). A length scale...
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