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Modoc National Wildlife Refuge pond bathymetry: Comparing bathymetric models generated from topographic data collected by recreational sonar fish finder and a Real-Time Kinematic Global Positioning System sensors in support of the USFWS Water Resources In

Summary

Type of release
a one-off release of a single dataset

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

Release Date
3 June 2015
Modified Date
27 August 2015
Publishers
US Fish and Wildlife Service, Department of the Interior
Keywords
bathymetry, depth, hydrology, pond, reservoir, rtk, sonar, surface-water-water, volume, water, water-level, water-level-management, water-quantity, wetland
Title
Modoc National Wildlife Refuge pond bathymetry: Comparing bathymetric models generated from topographic data collected by recreational sonar fish finder and a Real-Time Kinematic Global Positioning System sensors in support of the USFWS Water Resources Inventory and Assessment Program
Identifier
modoc-national-wildlife-refuge-pond-bathymetry-comparing-bathymetric-models-generated-from
Landing Page
http://catalog.data.gov/dataset/modoc-national-wildlife-refuge-pond-bathymetry-comparing-bathymetric-models-generated-from
Maintainers
Richard Easterbrook richard_easterbrook@fws.gov

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Description

This study compared bathymetric models generated from topographic data collected with: 1 a recreational Lowrance HDS Gen 2 sonar fish finder, and 2 a survey grade Realtime Kinematic RTK GPS unit using traditional topographic surveying techniques, at the Middle 395 and Headquarters ponds at the Modoc National Wildlife Refuge MNWR in August and October of 2013. The purpose of the study was to assess the suitability of the fish finder, which is low cost, for generating bathymetric data from wetlands and ponds at the MNWR.Digital Elevation Models DEMs of each pond were developed from pond bottom topographic data generated through the RTK GPS and sonar surveys. A smoothed DEM was used for contour creation and for graphical display, but was not used for analysis. The magnitude of elevation differences was calculated between concurrent DEMs developed for each pond, and the distribution of these differences were analyzed.The sonar system was found to be preferable in ponds with areas larger than 4 hectares 10 acres and deeper ponds with average depths greater than 0.6 m 2 ft where the shallow water limitation is encountered less frequently and where an RTK survey would be resource intensive to implement.

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This dataset has been created by US Government which means it is required to be in the public domain. However US copyright law only allows open access by US citizens, we have assumed the data is equivalently licensed as CC0 for the rest of the world as this is in the spirit of the US Government’s Open Data policy.

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