Christopher R Sherwood

Low-altitude aerial imagery obtained with unmanned aerial systems (UAS) flights over Coast Guard Beach, Nauset Spit, Nauset Inlet, and Nauset Marsh, Cape Cod National Seashore, Eastham, Massachusetts on 1 March 2016 (JPEG images)

This dataset contains images obtained from unmanned aerial systems (UAS) flown in the Cape Cod National Seashore. The objective of the field work was to evaluate the quality and cost of mapping from UAS images. Low-altitude (approximately 120 meters above ground level) digital images were obtained from cameras in a fixed-wing unmanned aerial vehicle (UAV) flown from the lawn adjacent to the Coast Guard Beach parking lot on 1 March, 2016. The UAV was a Skywalker X8 flying wing operated by Raptor Maps, Inc., contractors to the U.S. Geological Survey. U.S. Geological Survey technicians deployed and mapped 28 targets that appear in some of the images for use as ground control points. All activities were conducted according...

Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Atlantic Ocean, CMGP, Cape Cod, Cape Cod National Seashore, Coast Guard Beach, All tags... Coastal and Marine Geology Program, Eastham, JPEG, Massachusetts, Nauset Inlet, Nauset Marsh, Orleans, U.S. Geological Survey, UAS, USGS, WHCMSC, Woods Hole Coastal and Marine Science Center, aerial images, drone, field activity number 2016-007-FA, geoscientificInformation, imageryBaseMapsEarthCover, oceans, unmanned aerial system, Fewer tags

Mapping Land-Use, Hazard Vulnerability and Habitat Suitability Using Deep Neural Networks

Deep learning is a computer analysis technique inspired by the human brain’s ability to learn. It involves several layers of artificial neural networks to learn and subsequently recognize patterns in data, forming the basis of many state-of-the-art applications from self-driving cars to drug discovery and cancer detection. Deep neural networks are capable of learning many levels of abstraction, and thus outperform many other types of automated classification algorithms. This project developed software tools, resources, and two training workshops that will allow USGS scientists to apply deep learning to remotely sensed imagery and to better understand natural hazards and habitats across the Nation. The tools and...

Categories: Project; Tags: 2018, All Funded Projects, Computational Tools and Services, Data and Information Assets, Software, All tags... Source Code, Workshop, Fewer tags

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), along the Lake Ontario shoreline in New York during July 2017. These data were collected to document and monitor effects of high lake levels, including shoreline erosion, inundation, and property damage in the vicinity of Sodus Bay, New York. This data release includes images tagged with locations determined from the UAS GPS; tables with updated estimates of camera positions and attitudes based on the photogrammetric reconstruction; tables listing locations of the base stations, ground control points, and transect points; geolocated, RGB-colored point...

Tags: Geography, Geomorphology, Great Lakes, Information Sciences, Lake Ontario, All tags... Land Use Change, New York, Sodus Bay, Sodus Point, UAS, Water Quality, Water Resources, aerial imagery, aerial photography, digital elevation models, image collections, image mosaics, navigational data, remote sensing, topography, Fewer tags

Braddock West orthomosaic from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Braddock Bay, New York in July 2017 (GeoTIFF image).

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), in three locations along the Lake Ontario shoreline in New York during July 2017. These data were collected to document and monitor effects of high lake levels, including shoreline erosion, inundation, and property damage in the vicinities of Braddock Bay, Sodus Bay, and Chimney Bluffs State Park, New York. This data release includes images tagged with locations determined from the UAS GPS; tables with updated estimates of camera positions and attitudes based on the photogrammetric reconstruction; tables listing locations of the base stations, ground control...

Tags: 3DR Solo quadcopter, Braddock Bay, Braddock Bay Park, Braddock Bay Wildlife Management Area, Braddock Point, All tags... CMGP, Coastal and Marine Geology Program, Federal Emergency Management Agency, GeoTIFF, Great Lakes, Greece, NY, Lake Ontario, New York, Orthomosaic, Orthophoto, Ricoh GRII, State of New York Department of Environmental Conservation, State of New York Department of State, U.S. Geological Survey, UAS, USA, USGS, Unmanned aerial system, WHCMSC, Westpoint Marina, Woods Hole Coastal and Marine Science Center, aerial imagery, aerial photography, field activity number 2017-042-FA, geoscientificInformation, image mosaics, inlandWaters, lake level, lakeshore, location, low-altitude aerial imagery, photo mosaic, photographs, photos, raster, remote sensing, shoreline, shoreline photographs, Fewer tags

Braddock West camera locations and attitudes for low-altitude aerial images collected during unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Braddock Bay, New York in July 2017

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), in three locations along the Lake Ontario shoreline in New York during July 2017. These data were collected to document and monitor effects of high lake levels, including shoreline erosion, inundation, and property damage in the vicinities of Braddock Bay, Sodus Bay, and Chimney Bluffs State Park, New York. This data release includes images tagged with locations determined from the UAS GPS; tables with updated estimates of camera positions and attitudes based on the photogrammetric reconstruction; tables listing locations of the base stations, ground control...

Categories: Data; Tags: 3DR Solo quadcopter, Agisoft Photoscan, Braddock Bay, Braddock Bay Park, Braddock Bay Wildlife Management Area, All tags... Braddock Point, CMGP, Coastal and Marine Geology Program, Federal Emergency Management Agency, GPS, Global Positioning System, Great Lakes, Greece, NY, Lake Ontario, New York, Ricoh GRII, State of New York Department of Conservation, State of New York Department of State, U.S. Geological Survey, UAS, USA, USGS, Unmanned aerial system, WHCMSC, Westpoint Marina, Woods Hole Coastal and Marine Science Center, aerial imagery, aerial photography, camera locations, elevation, field activity number 2017-042-FA, geoscientificInformation, inlandWaters, lakeshore, location, low-altitude aerial imagery, navigation, navigational data, photographs, photos, remote sensing, shoreline photographs, Fewer tags