High-resolution orthomosaic image (natural color) of Black Beach, Falmouth, Massachusetts on 18 March 2016 (32-bit GeoTIFF)

Imagery acquired with unmanned aerial systems (UAS) and coupled with structure from motion (SfM) photogrammetry can produce high-resolution topographic and visual reflectance datasets that rival or exceed lidar and orthoimagery. These new techniques are particularly useful for data collection of coastal systems, which requires high temporal and spatial resolution datasets. The U.S. Geological Survey worked in collaboration with members of the Marine Biological Laboratory and Woods Hole Analytics at Black Beach, in Falmouth, Massachusetts to explore scientific research demands on UAS technology for topographic and habitat mapping applications. This project explored the application of consumer-grade UAS platforms as a cost-effective alternative to lidar and aerial/satellite imagery to support coastal studies requiring high-resolution elevation or remote sensing data. A small UAS was used to capture low-altitude photographs and GPS devices were used to survey reference points. These data were processed in an SfM workflow to create an elevation point cloud, an orthomosaic image, and a digital elevation model.

Data e Risorse

Campo Valore
accessLevel public
bureauCode {010:12}
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identifier USGS:59b00efbe4b020cdf7d4db60
metadata_type geospatial
modified 20211119
old-spatial -70.643977, 41.582607, -70.639736, 41.587071
publisher U.S. Geological Survey
publisher_hierarchy Department of the Interior > U.S. Geological Survey
resource-type Dataset
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spatial {"type": "Polygon", "coordinates": [[[-70.643977, 41.582607], [-70.643977, 41.587071], [ -70.639736, 41.587071], [ -70.639736, 41.582607], [-70.643977, 41.582607]]]}
theme {geospatial}
Gruppi
  • AmeriGEOSS
  • National Provider
  • North America
Tag
  • aerial-images
  • aerial-photography
  • airborne-high-resolution-data
  • airborne-imagery
  • amerigeo
  • amerigeoss
  • atlantic-ocean
  • black-beach
  • buzzards-bay
  • cape-cod
  • ckan
  • cmgp
  • coastal-and-marine-geology-program
  • digital-aerial-imagery
  • dji-phantom-3
  • drone
  • falmouth
  • field-activity-number-2016-010-fa
  • geo
  • geoscientificinformation
  • geospatial-datasets
  • geoss
  • geotiff
  • great-sippewissett-inlet
  • great-sippewissett-marsh
  • gridded-data
  • imagerybasemapsearthcover
  • inlandwaters
  • massachusetts
  • national
  • natural-color
  • north-america
  • oceans
  • orthoimagery
  • three-band-image-mosaic
  • u-s-geological-survey
  • uas
  • united-states
  • unmanned-aerial-system
  • usgs
  • usgs-59b00efbe4b020cdf7d4db60
  • whcmsc
  • woods-hole-coastal-and-marine-science-center
isopen False
license_id notspecified
license_title License not specified
maintainer Emily J. Sturdivant
maintainer_email esturdivant@usgs.gov
metadata_created 2025-11-21T12:38:09.589859
metadata_modified 2025-11-21T12:38:09.589864
notes Imagery acquired with unmanned aerial systems (UAS) and coupled with structure from motion (SfM) photogrammetry can produce high-resolution topographic and visual reflectance datasets that rival or exceed lidar and orthoimagery. These new techniques are particularly useful for data collection of coastal systems, which requires high temporal and spatial resolution datasets. The U.S. Geological Survey worked in collaboration with members of the Marine Biological Laboratory and Woods Hole Analytics at Black Beach, in Falmouth, Massachusetts to explore scientific research demands on UAS technology for topographic and habitat mapping applications. This project explored the application of consumer-grade UAS platforms as a cost-effective alternative to lidar and aerial/satellite imagery to support coastal studies requiring high-resolution elevation or remote sensing data. A small UAS was used to capture low-altitude photographs and GPS devices were used to survey reference points. These data were processed in an SfM workflow to create an elevation point cloud, an orthomosaic image, and a digital elevation model.
num_resources 2
num_tags 43
title High-resolution orthomosaic image (natural color) of Black Beach, Falmouth, Massachusetts on 18 March 2016 (32-bit GeoTIFF)