Uncertainty table for lidar-derived shorelines used when calculating rates in the Digital Shoreline Analysis System software for southeastern Florida (FLse)
Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate. Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion. As a result, there is an increased demand for accurate informatio...
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dataone:f21bb259-b47e-4636-88ad-4a3046b8b81e 2024-11-03T19:45:20+00:00 Uncertainty table for lidar-derived shorelines used when calculating rates in the Digital Shoreline Analysis System software for southeastern Florida (FLse) U.S. Geological Survey ENVELOPE(-81.44364,-79.99418,30.701773,25.66462) BEGINDATE: 1999-10-11T00:00:00Z ENDDATE: 1999-11-04T00:00:00Z 2017-01-01T00:00:00Z https://search.dataone.org/view/f21bb259-b47e-4636-88ad-4a3046b8b81e unknown USGS Science Data Catalog lidar uncertainty proxy-datum bias high water line offsets high water line uncertainty Shoreline Change Digital Shoreline Analysis System DSAS U.S. Geological Survey USGS Coastal and Marine Geology Program CMGP Woods Hole Coastal and Marine Science Center National Assessment of Shoreline Change Project National Oceanic and Atmospheric Administration NOAA Coastal Services Center CSC MHW Mean High Water HWL High Water Line Database IV format oceans environment geoscientificInformation effects of coastal change coastal processes shoreline accretion shoreline erosion erosion Florida FL Cocoa Beach Melbourne Beach Orchid Island Hutchinson Island Jupiter Island Palm Beach St Lucie Inlet Delray Beach Boca Raton Pompano Beach Miami Beach Key Biscayne Atlantic Coast United States North America Dataset 2017 dataone:urn:node:USGS_SDC 2024-11-03T19:10:40Z Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate. Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion. As a result, there is an increased demand for accurate information regarding past and present shoreline changes. To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii under the National Assessment of Shoreline Change project. There is no widely accepted standard for analyzing shoreline change. Existing shoreline data measurements and rate calculation methods vary from study to study and prevent combining results into state-wide or regional assessments. The impetus behind the National Assessment project was to develop a standardized method of measuring changes in shoreline position that is consistent from coast to coast. The goal was to facilitate the process of periodically and systematically updating the results in an internally consistent manner. Dataset Hutchinson Island Alaska USGS Science Data Catalog (via DataONE) Jupiter ENVELOPE(101.133,101.133,-66.117,-66.117) Jupiter Island ENVELOPE(101.133,101.133,-66.133,-66.133) Hutchinson Island ENVELOPE(-101.898,-101.898,59.248,59.248) ENVELOPE(-81.44364,-79.99418,30.701773,25.66462) |
institution |
Open Polar |
collection |
USGS Science Data Catalog (via DataONE) |
op_collection_id |
dataone:urn:node:USGS_SDC |
language |
unknown |
topic |
lidar uncertainty proxy-datum bias high water line offsets high water line uncertainty Shoreline Change Digital Shoreline Analysis System DSAS U.S. Geological Survey USGS Coastal and Marine Geology Program CMGP Woods Hole Coastal and Marine Science Center National Assessment of Shoreline Change Project National Oceanic and Atmospheric Administration NOAA Coastal Services Center CSC MHW Mean High Water HWL High Water Line Database IV format oceans environment geoscientificInformation effects of coastal change coastal processes shoreline accretion shoreline erosion erosion Florida FL Cocoa Beach Melbourne Beach Orchid Island Hutchinson Island Jupiter Island Palm Beach St Lucie Inlet Delray Beach Boca Raton Pompano Beach Miami Beach Key Biscayne Atlantic Coast United States North America |
spellingShingle |
lidar uncertainty proxy-datum bias high water line offsets high water line uncertainty Shoreline Change Digital Shoreline Analysis System DSAS U.S. Geological Survey USGS Coastal and Marine Geology Program CMGP Woods Hole Coastal and Marine Science Center National Assessment of Shoreline Change Project National Oceanic and Atmospheric Administration NOAA Coastal Services Center CSC MHW Mean High Water HWL High Water Line Database IV format oceans environment geoscientificInformation effects of coastal change coastal processes shoreline accretion shoreline erosion erosion Florida FL Cocoa Beach Melbourne Beach Orchid Island Hutchinson Island Jupiter Island Palm Beach St Lucie Inlet Delray Beach Boca Raton Pompano Beach Miami Beach Key Biscayne Atlantic Coast United States North America U.S. Geological Survey Uncertainty table for lidar-derived shorelines used when calculating rates in the Digital Shoreline Analysis System software for southeastern Florida (FLse) |
topic_facet |
lidar uncertainty proxy-datum bias high water line offsets high water line uncertainty Shoreline Change Digital Shoreline Analysis System DSAS U.S. Geological Survey USGS Coastal and Marine Geology Program CMGP Woods Hole Coastal and Marine Science Center National Assessment of Shoreline Change Project National Oceanic and Atmospheric Administration NOAA Coastal Services Center CSC MHW Mean High Water HWL High Water Line Database IV format oceans environment geoscientificInformation effects of coastal change coastal processes shoreline accretion shoreline erosion erosion Florida FL Cocoa Beach Melbourne Beach Orchid Island Hutchinson Island Jupiter Island Palm Beach St Lucie Inlet Delray Beach Boca Raton Pompano Beach Miami Beach Key Biscayne Atlantic Coast United States North America |
description |
Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate. Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion. As a result, there is an increased demand for accurate information regarding past and present shoreline changes. To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii under the National Assessment of Shoreline Change project. There is no widely accepted standard for analyzing shoreline change. Existing shoreline data measurements and rate calculation methods vary from study to study and prevent combining results into state-wide or regional assessments. The impetus behind the National Assessment project was to develop a standardized method of measuring changes in shoreline position that is consistent from coast to coast. The goal was to facilitate the process of periodically and systematically updating the results in an internally consistent manner. |
format |
Dataset |
author |
U.S. Geological Survey |
author_facet |
U.S. Geological Survey |
author_sort |
U.S. Geological Survey |
title |
Uncertainty table for lidar-derived shorelines used when calculating rates in the Digital Shoreline Analysis System software for southeastern Florida (FLse) |
title_short |
Uncertainty table for lidar-derived shorelines used when calculating rates in the Digital Shoreline Analysis System software for southeastern Florida (FLse) |
title_full |
Uncertainty table for lidar-derived shorelines used when calculating rates in the Digital Shoreline Analysis System software for southeastern Florida (FLse) |
title_fullStr |
Uncertainty table for lidar-derived shorelines used when calculating rates in the Digital Shoreline Analysis System software for southeastern Florida (FLse) |
title_full_unstemmed |
Uncertainty table for lidar-derived shorelines used when calculating rates in the Digital Shoreline Analysis System software for southeastern Florida (FLse) |
title_sort |
uncertainty table for lidar-derived shorelines used when calculating rates in the digital shoreline analysis system software for southeastern florida (flse) |
publisher |
USGS Science Data Catalog |
publishDate |
2017 |
url |
https://search.dataone.org/view/f21bb259-b47e-4636-88ad-4a3046b8b81e |
op_coverage |
ENVELOPE(-81.44364,-79.99418,30.701773,25.66462) BEGINDATE: 1999-10-11T00:00:00Z ENDDATE: 1999-11-04T00:00:00Z |
long_lat |
ENVELOPE(101.133,101.133,-66.117,-66.117) ENVELOPE(101.133,101.133,-66.133,-66.133) ENVELOPE(-101.898,-101.898,59.248,59.248) ENVELOPE(-81.44364,-79.99418,30.701773,25.66462) |
geographic |
Jupiter Jupiter Island Hutchinson Island |
geographic_facet |
Jupiter Jupiter Island Hutchinson Island |
genre |
Hutchinson Island Alaska |
genre_facet |
Hutchinson Island Alaska |
_version_ |
1814737628819357696 |