Research Geologist
Woods Hole Coastal and Marine Science Center
Email:
elentz@usgs.gov
Office Phone:
508-457-2238
Fax:
508-457-2310
ORCID:
0000-0002-0621-8954
Location
384 Woods Hole Road
Woods Hole
, MA
02543-1598
USA
Supervisor:
Walter Barnhardt
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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...
Categories: Data;
Types: Citation;
Tags: Airborne imagery,
Atlantic Ocean,
Barnstable,
Black Beach,
Buzzards Bay, All tags...
CMGP,
Cape Cod,
Coastal and Marine Geology Program,
DJI Phantom 3,
Falmouth,
Great Sippewissett Inlet,
Great Sippewissett Marsh,
JPEG images,
Massachusetts,
U.S. Geological Survey,
UAS,
USGS,
WHCMSC,
Woods Hole Coastal and Marine Science Center,
aerial images,
aerial photography,
drone,
field activity number 2016-010-FA,
geospatial datasets,
ground control point,
imageryBaseMapsEarthCover,
targets,
unmanned aerial system, Fewer tags
|
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...
Categories: Data;
Types: Citation;
Tags: Airborne imagery,
Atlantic Ocean,
Barnstable,
Black Beach,
Buzzards Bay, All tags...
CMGP,
Cape Cod,
Coastal and Marine Geology Program,
DJI Phantom 3,
Falmouth,
Great Sippewissett Inlet,
Great Sippewissett Marsh,
Massachusetts,
U.S. Geological Survey,
UAS,
USGS,
WHCMSC,
Woods Hole Coastal and Marine Science Center,
aerial images,
aerial photography,
drone,
field activity number 2016-010-FA,
geospatial datasets,
ground control point,
location,
targets,
unmanned aerial system, Fewer tags
|
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...
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Airborne high resolution data,
Airborne imagery,
Atlantic Ocean,
Black Beach,
Buzzards Bay, All tags...
CMGP,
Cape Cod,
Coastal and Marine Geology Program,
DJI Phantom 3,
Digital aerial imagery,
Falmouth,
GeoTIFF,
Great Sippewissett Inlet,
Great Sippewissett Marsh,
Gridded Data,
Massachusetts,
Natural color,
Orthoimagery,
Three band image mosaic,
U.S. Geological Survey,
UAS,
USGS,
WHCMSC,
Woods Hole Coastal and Marine Science Center,
aerial images,
aerial photography,
drone,
environment,
field activity number 2016-010-FA,
geoscientificInformation,
geospatial datasets,
imageryBaseMapsEarthCover,
inlandWaters,
oceans,
unmanned aerial system, Fewer tags
|
U.S. Geological Survey (USGS) scientists are at the forefront of research that is critical for decision-making, particularly through the development of models (Bayesian networks, or BNs) that forecast coastal change. The utility of these tools outside the scientific community has been limited because they rely on expensive, technical software and a moderate understanding of statistical analyses. We proposed to convert one of our models from proprietary to freely available open-source software, resulting in a portable interactive web-interface. The resulting product will serve as a prototype to demonstrate how interdisciplinary USGS science and models can be transformed into an approachable format for decision-makers....
|
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...
Categories: Data;
Types: Citation;
Tags: Atlantic Ocean,
Barnstable,
Black Beach,
Buzzards Bay,
CMGP, All tags...
Cape Cod,
Coastal and Marine Geology Program,
Falmouth,
Great Sippewissett Inlet,
Great Sippewissett Marsh,
Massachusetts,
U.S. Geological Survey,
UAS,
USGS,
WHCMSC,
Woods Hole Coastal and Marine Science Center,
aerial images,
drone,
elevation,
ground control point,
targets,
unmanned aerial system, Fewer tags
|
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