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This data set consists of digital data describing wetlands and uplands habitats for the Mississippi Coastal Improvements Program (MsCIP) area, consisting of Cat, Ship, Horn and Petit Bois Islands for the year 2020. Wetlands were classified using the Cowardin, et al., wetlands classification scheme to the level of freshwater and tidal, salinity modifiers. Uplands were classified using a customized classification scheme which can be cross-referenced to Anderson, et. al. For this dataset, upland dunes were delineated as areas at or above 1.524 meters (5 feet) as determined in the Lidar data that was referenced without modification for this classification. With this elevation criteria some delineated upland dune features...
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Shapefile created by USGS. Channel transects were constructed to be used in evaluating channel widths and channel width variation. Transects were laid out at 0.1 mile intervals along the navigation channel thalweg. They extend perpendicular to thalweg and intersect the bankfull channel margin, delineated from low-altitude aerial orthophotos provided by the US Army Corps of Engineers, 11/1/2012 to 11/21/2012. The bankfull dimensions were digitized by hand. Each transect was additionally attributed with the USGS bend number, Pallid Sturgeon Population Assessment Program (PSPAP) segment number, and PSPAP bend number.
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Data presented are results of surveys in 2022 for Southwestern Willow Flycatcher (Empidonax traillii extimus) in San Diego County, California. Surveys were conducted at the 2016-19 nest monitoring locations (Cleveland National Forest, Rey River Ranch, and Vista Irrigation District) and at Lake Henshaw along the Upper San Luis Rey River. Surveys were conducted along multiple sections of the river where permission to access properties could be obtained. Locations were surveyed using a standardized protocol three to four times between 15 May and 31 July. The number, age (adult or juvenile), sex, banding status (color banded or not, and if so, color combination), and breeding status (paired, undetermined, or transient)...
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Shapefile created by USGS. This is a polygon created from Landsat TM imagery. All Landsat 4-5 TM images overlapping the Missouri River downstream from Gavins Point Dam were identified and examined for lack of clouds. Usable images were classified into sand, vegetation, and water. Classified images were then merged, and the number of times a given pixel was classified as either sand, vegetation, or water were computed. The presented dataset represents pixels which were classified as sand in greater than 5% of images which were collected during a growing season defined as julian day 116-296 (to preclude vegetated islands, which classify as sand outside of foliation), translated into polygons.
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Estuary geomorphic units delineated at a scale of 1:1500 using a combination of (a) 28 August 2014 0.15 meter resolution NPS Elwha PlaneCam aerial imagery; and (b) elevation-colored and hillshaded digital elevation models from USGS backpack/jetski topobathy surveys (5-8 September 2014) for areas < MHHW and aerial lidar surveys (7 November 2014) supplemented with NPS Elwha PlaneCam SfM photogrammetry data (30 September 2014) for elevations > MHHW.
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Estuary geomorphic units delineated at a scale of 1:1500 using a combination of (a) 11 September 2009 1 meter resolution NAIP aerial imagery; and (b) elevation-colored and hillshaded digital elevation models from USGS backpack/jetski topobathy surveys (17 September 2009) for areas < MHHW and aerial lidar surveys (4-6 April 2009) for elevations > MHHW.
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Estuary geomorphic units delineated at a scale of 1:1500 using a combination of (a) 26 August 2013 0.15 meter resolution NPS Elwha PlaneCam aerial imagery; and (b) elevation-colored and hillshaded digital elevation models from USGS backpack/jetski topobathy surveys (16 September 2013) for areas < MHHW and aerial lidar surveys (17 October 2012) supplemented with NPS Elwha PlaneCam SfM photogrammetry data (19 September 2013) for elevations > MHHW.
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Insects with morphologically different life stages can face a time tradeoff between foraging and egg-laying behavior when larval and adult resources are spatially segregated. Understanding this tradeoff in the Karner blue butterfly (Lycaeides melissa samuelis) can inform resource management for this federally endangered species under changing resource distribution and availability. We collected data on adult butterfly densities, larval (wild blue lupine, Lupinus perennis) and adult (nectaring plants) resource densities, and adult resource use. We defined “resource use” as anytime a butterfly was found (resting, crawling, feeding, laying eggs, mating) on a resource. Data were collected in eight habitat patches (10...
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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Estuary vegetation cover delineated from 3 September 2011* 0.3-meter-resolution aerial imagery (Microsoft/Digital Globe) at a scale of 1:1500. *Image date of 3-Sep corrected in metadata. During product generation the imagery date was believed to be 8-25-2011, as reported by DigitalGlobe reseller.
This dataset consists of seven geomorphic variables attributed to standard river mile address points at 0.1 mile (160 m) intervals between Fort Peck Dam and the headwaters of Lake Sakakawea. The data illustrate the geomorphic variation in this 300-km segment of the Upper Missouri River and are indicative of channel complexity, thought to be an important influence on dispersal and retention of larval sturgeon.
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Estuary geomorphic units delineated at a scale of 1:1500 using a combination of (a) 30 August 2012 0.15 meter resolution NPS Elwha PlaneCam aerial imagery; and (b) elevation-colored and hillshaded digital elevation models from USGS backpack/jetski topobathy surveys (28 August 2012) for areas < MHHW and aerial lidar surveys (17 October 2012) for elevations > MHHW.
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This part of DS 781 presents data for the habitat map of the seafloor of the Offshore of Aptos map area, California. The vector data file is included in "Habitat_OffshoreAptos.zip," which is accessible from https://doi.org/10.5066/F7K35RQB. These data accompany the pamphlet and map sheets of Cochrane, G.R., Johnson, S.Y., Dartnell, P., Greene, H.G., Erdey, M.D, Dieter, B.E., Golden, N.E., Hartwell, S.R., Ritchie, A.C., Kvitek, r.G., Maier, K.L., Endris, C.A., Davenport, C.W., Watt, J.T., Sliter, R.W., Finlayson, D.P., and Krigsman, L.M., (G.R. Cochrane and S.A. Cochran, eds.), 2016, California State Waters Map Series—Offshore of Aptos, California: U.S. Geological Survey Open-File Report 2016–1025, 43 p., 10 sheets,...
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Shapefile created by USGS. This is a channel polygon coverage with USGS-delineated bends, each attributed with rive mile (location along river), bend area, thalweg sinuosity, mean channel width, standard deviation of channel width, number of navigation structures per kilometer of channel, total length of navigation structures per kilometer of channel, area of persistent sand, and catch per unit effort of age-0 Scaphirhynchus sturgeon. Each bend is also attributed with statistically determined cluster assignment according to 3-, 4-, and 6-cluster k-means clustering.
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Shapefile created by USGS by generating a centerline between the banks of the Lower Missouri River and identifying inflections in the centerline. Inflections were used to automatically define upstream and downstream limits of the bend. Lateral limits of bends were extended to encompass all of the high banks of the river. The centerline was identified using the river miles of the U.S.Army Corps of Engineers as defined in 1960.
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Data presented are results of surveys and monitoring for San Diego Cactus Wren (Campylorhynchus brunneicapillus) in southern San Diego County. These data were collected to assess Cactus Wren population status to determine the relationships between specific elements of habitat quality and Cactus Wren presence. Surveys were conducted periodically at 507 plots throughout San Diego County. Birds that had been banded in prior years with unique color combinations were identified to individual on subsequent visits to provide data on survival and movement between years. These data support the following publication: Lynn, S., and Kus, B.E., 2023, Distribution and demography of coastal Cactus Wrens (Campylorhynchus brunneicapillus)...
map background search result map search result map Habitat--Offshore of Aptos, California Geomorphic habitat units derived from 2009 aerial imagery and elevation data for the Elwha River estuary, Washington Geomorphic habitat units derived from 2012 aerial imagery and elevation data for the Elwha River estuary, Washington Geomorphic habitat units derived from 2013 aerial imagery and elevation data for the Elwha River estuary, Washington Geomorphic habitat units derived from 2014 aerial imagery and elevation data for the Elwha River estuary, Washington Vegetation habitat units derived from 2009 aerial imagery and field data for the Elwha River estuary, Washington Vegetation habitat units derived from 2011 aerial imagery and field data for the Elwha River estuary, Washington Vegetation habitat units derived from 2012 aerial imagery and field data for the Elwha River estuary, Washington Vegetation habitat units derived from 2013 aerial imagery and field data for the Elwha River estuary, Washington Vegetation habitat units derived from 2014 aerial imagery and field data for the Elwha River estuary, Washington Bends of the Lower Missouri River, attributed with geomorphic variables and classified by cluster analysis Bankfull channel transects, Lower Missouri River Persistent sand polygons, Lower Missouri River USGS defined bends, Lower Missouri River Karner blue butterfly densities, resource densities, and resource use at Sandhill Wildlife Area, Wisconsin, 2016 February 2020 National Wetlands Inventory, Mississippi Barrier Islands Habitat Classification: (Cat Island, Ship Island, Petit Bois Island and Horn Island) Southwestern Willow Flycatcher (Empidonax traillii extimus) Surveys in San Diego County, California, 2022 Surveys and Monitoring of Coastal Cactus Wren in San Diego County, 2022 Vegetation habitat units derived from 2013 aerial imagery and field data for the Elwha River estuary, Washington Vegetation habitat units derived from 2012 aerial imagery and field data for the Elwha River estuary, Washington Vegetation habitat units derived from 2014 aerial imagery and field data for the Elwha River estuary, Washington Vegetation habitat units derived from 2011 aerial imagery and field data for the Elwha River estuary, Washington Vegetation habitat units derived from 2009 aerial imagery and field data for the Elwha River estuary, Washington Geomorphic habitat units derived from 2012 aerial imagery and elevation data for the Elwha River estuary, Washington Geomorphic habitat units derived from 2009 aerial imagery and elevation data for the Elwha River estuary, Washington Geomorphic habitat units derived from 2013 aerial imagery and elevation data for the Elwha River estuary, Washington Geomorphic habitat units derived from 2014 aerial imagery and elevation data for the Elwha River estuary, Washington Karner blue butterfly densities, resource densities, and resource use at Sandhill Wildlife Area, Wisconsin, 2016 Southwestern Willow Flycatcher (Empidonax traillii extimus) Surveys in San Diego County, California, 2022 Habitat--Offshore of Aptos, California February 2020 National Wetlands Inventory, Mississippi Barrier Islands Habitat Classification: (Cat Island, Ship Island, Petit Bois Island and Horn Island) Surveys and Monitoring of Coastal Cactus Wren in San Diego County, 2022 Persistent sand polygons, Lower Missouri River Bankfull channel transects, Lower Missouri River Bends of the Lower Missouri River, attributed with geomorphic variables and classified by cluster analysis USGS defined bends, Lower Missouri River