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Multibeam bathymetric data collected in the eastern Gulf of Alaska during USGS Field Activity 2016-625-FA using a Reson 7160 multibeam echosounder (10 meter resolution, 32-bit GeoTIFF, UTM 8 WGS 84, WGS 84 Ellipsoid) Marine geophysical mapping of the Queen Charlotte Fault in the eastern Gulf of Alaska was conducted in 2016 as part of a collaborative effort between the U.S. Geological Survey and the Alaska Department of Fish and Game to understand the morphology and subsurface geology of the entire Queen Charlotte system. The Queen Charlotte fault is the offshore portion of the Queen Charlotte-Fairweather Fault: a major structural feature that extends more than 1,200 kilometers from the Fairweather Range of southern Alaska to northern Vancouver Island, Canada. The data published in this data release were collected along the Queen Charlotte Fault between Cross Sound and Noyes Canyon, offshore southeastern Alaska from May 18 to... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: ADFG, Alaska Department of Fish and Game, Baranof Fan, Baranof Island, CMHRP, All tags... Chatham Strait, Chichagof Island, Coastal and Marine Hazards and Resources Program, Cross Sound, Elevation, GeoscientificInformation, Gulf of Alaska, Heceta Knoll, Icy Point, North Pacific Ocean, Noyes Canyon, Oceans, Pacific Coastal and Marine Science Center, Pacific Ocean, Queen Charlotte Fault, R/V Medeia, Reson 7160, TerraSond, U.S. Geological Survey, USGS, United States of America, Woods Hole Coastal and Marine Science Center, Yakobi Sea Valley, bathymetry, depth, elevation, multibeam, seafloor, Fewer tags Maps of water depth derived from satellite images of the American River acquired in October 2020 Information on water depth in river channels is important for a number of applications in water resource management but can be difficult to obtain via conventional field methods, particularly over large spatial extents and with the kind of frequency and regularity required to support monitoring programs. Remote sensing methods could provide a viable alternative means of mapping river bathymetry (i.e., water depth). The purpose of this study was to develop and test new, spectrally based techniques for estimating water depth from satellite image data. More specifically, a neural network-based temporal ensembling approach was evaluated in comparison to several other neural network depth retrieval (NNDR) algorithms.... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: American River, Bathymetry, California, Depth, Fair Oaks, All tags... Remote sensing, river, Fewer tags Multispectral images and field measurements of water depth from the Sacramento River near Glenn, California, acquired September 14-16, 2021 This data release includes multispectral images and field measurements of water depth from the Sacramento River near Glenn, California, used to evaluate the potential for efficient reach-scale mapping of river bathymetry using Uncrewed Aircraft Systems (UAS). The images were acquired by a MicaSense RedEdge-MX Dual Camera deployed from a Trinity F90 vertical take-off and landing (VTOL) UAS. The 4 km long study area along the Sacramento River was subdivided into three distinct but adjacent areas of interest (AOIs) and image data were collected from one AOI each day between September 14 and 16, 2021. The image data were ortho-rectified using Quantum-Systems QBase 3D and Agisoft Metashape software and saved as GeoTIFF... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Aquatic Biology, California, Geomorphology, Glenn, Hydrology, All tags... Remote Sensing, Remote sensing, River, Sacramento River, USGS Science Data Catalog (SDC), Uncrewed Aircraft Systems (UAS), Water Resources, bathymetry, depth, echo sounder, multispectral, sonar, Fewer tags Remotely sensed data acquired from an Uncrewed Aerial System (UAS) and field measurements of flow depth and velocity from the North Santiam River, Oregon, collected in July 2022 A reach of the North Santiam River, Oregon, was used as a case study in an ongoing effort to develop and test uncrewed aircraft system (UAS)-based salmon habitat mapping techniques using: (1) particle image velocimetry (PIV) for estimating surface flow velocities from remotely sensed data; and (2) two-dimensional (2D) flow modeling based on remotely sensed topography and bathymetry (topo-bathymetry). Direct measurements of flow velocity were obtained using an acoustic Doppler current profiler (ADCP) and used to assess the accuracy of the image-derived velocity estimates and modeled flow fields. Water depth was measured using a single beam echosounder and was used to calibrate and validate image-derived depth estimates... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Aquatic Biology, Ecology, Geomorphology, Hydrology, Image velocimetry, All tags... Light Detection and Ranging (LIDAR), North Santiam River, Oregon, Remote Sensing, USGS Science Data Catalog (SDC), Uncrewed Aircraft Systems (UAS), Water Resources, acoustic Doppler current profiler (ADCP), depth, flow velocity, multispectral imagery, video, Fewer tags Average November-March Snow Depth (mm), Northeast This dataset represents a 5 year average, November to March 2007/2008 - 2011/2012, snow depth in millimeters. This data set contains output from the NOAA National Weather Service's National Operational Hydrologic Remote Sensing Center (NOHRSC) SNOw Data Assimilation System (SNODAS). SNODAS is a modeling and data assimilation system developed by NOHRSC to provide the best possible estimates of snow cover and associated parameters to support hydrologic modeling and analysis. The aim of SNODAS is to provide a physically consistent framework to integrate snow data from satellite, airborne platforms, and ground stations with model estimates of snow cover (Carroll et al. 2001). SNODAS includes procedures to ingest and... Categories: Data, Publication; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Citation, Downloadable, Map Service; Tags: Climate, Precipitation, Snow depth, Terrestrial, depth, All tags... snow, Fewer tags Maps of water depth derived from satellite images of the Colorado River acquired in March and April of 2021 Information on water depth in river channels is important for a number of applications in water resource management but can be difficult to obtain via conventional field methods, particularly over large spatial extents and with the kind of frequency and regularity required to support monitoring programs. Remote sensing methods could provide a viable alternative means of mapping river bathymetry (i.e., water depth). The purpose of this study was to develop and test new, spectrally based techniques for estimating water depth from satellite image data. More specifically, a neural network-based temporal ensembling approach was evaluated in comparison to several other neural network depth retrieval (NNDR) algorithms.... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Arizona, Bathymetry, Colorado River, Depth, Lees Ferry, All tags... Remote sensing, river, Fewer tags Model archive: Two-dimensional hydrodynamic model of the North Santiam, River, Oregon This model archive contains the data and software application used to develop a two-dimensional hydrodynamic model of a 1.2 kilometer reach of the North Santiam River in Oregon. The Delft3D-Flexible Mesh modeling system was used to simulate flow conditions at a baseflow discharge of 25 cubic meters per second and thus provide spatially distributed predictions of depth and velocity throughout the reach. This model archive consists of four individual components: (1) information on the hydrodynamic model software application; (2) the topographic data used to construct the model grid and field measurements of water depth used to calibrate the model; (3) complete Delft3D model runs, including both the required inputs... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: North Santiam River, Oregon, depth, hydrodynamic model, model archive, All tags... model calibration, velocity, Fewer tags  A bathymetric terrain model of multibeam sonar data collected between 2005 and 2018 along the Queen Charlotte Fault System in the Eastern Gulf of Alaska from Cross Sound, Alaska to Queen Charlotte Sound, Canada. (30 meter resolution, 32-bit GeoTIFF, UTM 8 WGS 84, WGS 84 Ellipsoid) This data publication is a compilation of six different multibeam surveys covering the previously unmapped Queen Charlotte Fault offshore southeast Alaska and Haida Gwaii, Canada. These data were collected between 2005 and 2018 under a cooperative agreement between the U.S. Geological Survey, Natural Resources Canada, and the National Oceanic and Atmospheric Administration. The six source surveys from different multibeam sonars are combined into one terrain model with a 30-m resolution. A complementary polygon shapefile records the extent of each source survey in the output grid. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Baranof Fan, Baranof Island, CCGS Vector, CHS, CMHRP, All tags... Canada, Canadian Hydrographic Service, Chatham Strait, Chichagof Island, Coastal and Marine Hazards and Resources Program, Cross Sound, Dixon Entrance, Elevation, GeoscientificInformation, Gulf of Alaska, Haida Gwaii, Heceta Knoll, Icy Point, Moresby Canyon, NOAA, NOAA Ship Fairweather, NRC, National Oceanographic and Atmospheric Administration, Natural Resources Canada, North Pacific Ocean, Noyes Canyon, Oceans, PCMSC, Pacific Coastal and Marine Science Center, Pacific Ocean, Queen Charlotte Fault, Queen Charlotte Sound, R/V Kilo Moana, R/V Medeia, R/V Sikuliaq, R/V Solstice, U.S. Geological Survey, USGS, United States of America, University of Alaska Fairbanks, University of Hawai'i, WHCMSC, Woods Hole Coastal and Marine Science Center, Yakobi Sea Valley, bathymetry, depth, elevation, geology, geophysics, geospatial datasets, multibeam sonar, seafloor, Fewer tags Site visit cross section surveys and multispectral image data from gaging stations throughout the Willamette and Delaware River Basins from 2022 and code for Bathymetric Mapping using Gage Records and Image Databases (BaMGRID) This data release includes cross section survey data collected during site visits to USGS gaging stations located throughout the Willamette and Delaware River Basins and multispectral images of these locations acquired as close in time as possible to the date of each site visit. In addition, MATLAB source code developed for the Bathymetric Mapping using Gage Records and Image Databases (BaMGRID) framework is also provided. The site visit data were obtained from the Aquarius Time Series database, part of the USGS National Water Information System (NWIS), using the Publish Application Programming Interface (API). More specifically, a custom MATLAB function was used to query the FieldVisitDataByLocationServiceRequest... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Aquatic Biology, Bathymetry, Cross sections, Delaware River Basin, Depth, All tags... Gaging stations, Geomorphology, Hydrology, New Jersey (NJ), New York (NY), Oregon (OR), Pennsylvania (PA), Remote Sensing, Remote sensing, River, Site visit, USGS Science Data Catalog (SDC), Water Resources, Willamette River Basin, Fewer tags Selected Inputs of Siting Considerations for Satellite Observation of River Discharge Uncertainty of satellite discharge estimates is affected by choice of satellite sensor, hydraulic variable for observation, and discharge estimation algorithm, as well as the availability of ground-calibration data. Site selection is very important for reducing error and uncertainty in both conventional and satellite-based discharge measurements because geomorphic river characteristics have strong control over the relationships between discharge and depth, width, slope, and velocity. A ground-truth data set of 8,445 conventional hydraulic measurements, collected by acoustic Doppler current profilers (ADCP) at 503 stations in the United States was developed to examine correlation between river discharge and river... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ADCP, HYDRoSWOT, Hydrology, NASA, Remote Sensing, All tags... SWOT, USGS Science Data Catalog (SDC), United States, cross-section, depth, discharge, regression, remote sensing, satellite, slope, velocity, width, Fewer tags CoRE (Contractions or Range Expansions) Database: Global Database of Species Range Shifts from 1802-2019 The CoRE (Contractions or Range Expansions) database contains a library of published literature and data on species range shifts in response to climate change. Through a systematic review of publications returned from searches on Google Scholar, Web of Science, and Scopus, we selected primary research articles that documented or attempted to document species-level distribution shifts in animal or plant species in response to recent anthropogenic climate change. We extracted data in four broad categories: (i) basic study information (study duration, location, data quality and methodological factors); (ii) basic species information (scientific names and taxonomic groups); (iii) information on the observed range shifts... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Africa, Asia, Australia, Europe, GLOBAL, ATLANTIC OCEAN, PACIFIC OCEAN, ARCTIC OCEAN, All tags... North America, South America, USGS Science Data Catalog (SDC), Wildlife Biology, biodiversity, boundaries, climate change, depth, distribution, distribution shift, effects of climate change, elevation, global change, global warming, habitat extent, latitude, occupancy, precipitation, range, species, species redistribution, temperature, vulnerability, warming, Fewer tags Maps of water depth derived from satellite images of selected reaches of the American, Colorado, and Potomac Rivers acquired in 2020 and 2021 (ver. 2.0, September 2024) Information on water depth in river channels is important for a number of applications in water resource management but can be difficult to obtain via conventional field methods, particularly over large spatial extents and with the kind of frequency and regularity required to support monitoring programs. Remote sensing methods could provide a viable alternative means of mapping river bathymetry (i.e., water depth). The purpose of this study was to develop and test new, spectrally based techniques for estimating water depth from satellite image data. More specifically, a neural network-based temporal ensembling approach was evaluated in comparison to several other neural network depth retrieval (NNDR) algorithms.... Categories: Data, Data Release - Revised; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: American River, Arizona, Bathymetry, Brunswick, California, All tags... Colorado River, Depth, Fair Oaks, Lees Ferry, Maryland, Potomac River, Remote sensing, USGS Science Data Catalog (SDC), Virginia, river, Fewer tags Maps of water depth derived from satellite images of the Potomac River acquired in July and August of 2021 Information on water depth in river channels is important for a number of applications in water resource management but can be difficult to obtain via conventional field methods, particularly over large spatial extents and with the kind of frequency and regularity required to support monitoring programs. Remote sensing methods could provide a viable alternative means of mapping river bathymetry (i.e., water depth). The purpose of this study was to develop and test new, spectrally based techniques for estimating water depth from satellite image data. More specifically, a neural network-based temporal ensembling approach was evaluated in comparison to several other neural network depth retrieval (NNDR) algorithms.... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Bathymetry, Brunswick, Depth, Maryland, Potomac River, All tags... Remote sensing, Virginia, river, Fewer tags