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dc.contributor.authorWalbridge, Shaun
dc.contributor.authorSlocum, Noah
dc.contributor.authorPobuda, Marjean
dc.contributor.authorWright, Dawn J.
dc.coverage.spatialSouthwest Atlantic Oceanen_US
dc.coverage.spatialSoutheast Atlantic Oceanen_US
dc.coverage.spatialNortheast Atlantic Oceanen_US
dc.coverage.spatialNorthwest Atlantic Oceanen_US
dc.coverage.spatialNorthwest Pacific Oceanen_US
dc.coverage.spatialNortheast Pacific Oceanen_US
dc.coverage.spatialSouthwest Pacific Oceanen_US
dc.coverage.spatialSoutheast Pacific Oceanen_US
dc.date.accessioned2020-01-20T12:44:19Z
dc.date.available2020-01-20T12:44:19Z
dc.date.issued2018
dc.identifier.citationWalbridge, S.; Slocum, N.; Pobuda, M. and Wright, D.J. (2018) Benthic Terrain Modeler (BTM) 3.0, tools for understanding and classifying the benthic environment. [Software]. Redlands, CA, Esri. [Full details and description :Geosciences 8: 94, 24pp. DOI:10.3390/geosciences8030094]en_US
dc.identifier.urihttp://hdl.handle.net/11329/1196
dc.identifier.urihttp://dx.doi.org/10.25607/OBP-713
dc.description.abstractA full tutorial with sample data is included with this zip file within the 'tutorial' directory. This self-paced training module introduces the benthic terrain modeling concepts used in the BTM, and steps users through sample analyses. Please note: the tutorial, which includes sample data applies only to the individual ArcPy scripts located in the BTM Toolbox and not to the BTM Add-In. BTM was initially a partnership between the NOAA Coastal Services Center and the Davey Jones' Locker Seafloor Mapping/Marine GIS Lab Oregon State University. The current version of BTM is a collaboration between NOAA CSC and ESRI, with thanks also to the the Massachusetts Office of Coastal Zone Management, Cal State University Monterey Bay, the UC-Santa Cruz Institute of Marine Sciences & NOAA Fisheries Ecology Division. Source and Issues: BTM is on GitHub! Get the latest code, send us pull requests, and see our current issues at http://github.com/EsriOceans/btm. Full published description : Geosciences 8: 94, 24pp. DOI:10.3390/geosciences8030094. Benthic Terrain Modeler, a collection of tools for understanding and classifying the benthic environment. In particular ocean and coastal scientists and resource managers can use in concert with bathymetric data to classify and understand the benthic environment. BTM was initially developed as a desktop extension for ArcGIS versions 8.x through 9.2SP3. The most recent release (3.0) of BTM for ArcGIS 10.1+ is comprised of a series of ArcPy scripts combined in a custom toolbox that allows the user to run the individual processes as separate functions. The BTM toolbox contains a set of tools that allow users to create grids of bathymetric position index (BPI), standardized BPI’s, slope, and terrain ruggedness from an input bathymetric data set. Additionally, two terrain classification tools give users the freedom to create their own zone and structure classifications and define the relationships that characterize them. New users of BTM will want to take advantage of the simple graphical user interface that wraps around all BTM tools, recreating the full "wizard" experience that was available in the previous releases.en_US
dc.description.sponsorshipOriginal funding: Spatial Technology Development and Educational Modules for the Fagatele Bay National Marine Sanctuary, NOAA Coastal Services Center Integration & Development Initiative, Grant #NA03NOS4730014 P.I.: Dawn Wright (OSU Geosciences), 03/03 to 03/06 (w/ no cost extension), $64,917 (Mar 2003) Benthic Habitat Characterization for Coastal Management and Marine Protected Areas: American Samoa, NOAA Coastal Services Center Outreach--Special Projects for the Pacific Islands Initiative, Grant #NA03NOS4730033 P.I.: Dawn Wright (OSU Geosciences), 04/01/03 to 03/31/05, $49,384 (Feb 2003)en_US
dc.language.isoenen_US
dc.publisherEsrien_US
dc.rightsAttribution-ShareAlike 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/*
dc.subject.otherGEOHABen_US
dc.subject.otherBenthic habitat mappingen_US
dc.titleBenthic Terrain Modeler (BTM) 3.0, tools for understanding and classifying the benthic environment. [Sofware]en_US
dc.typeSoftwareen_US
dc.description.notesA full tutorial with sample data is included with this zip file within the 'tutorial' directory. This self-paced training module introduces the benthic terrain modeling concepts used in the BTM, and steps users through sample analyses. Please note: the tutorial, which includes sample data applies only to the individual ArcPy scripts located in the BTM Toolbox and not to the BTM Add-In. BTM was initially a partnership between the NOAA Coastal Services Center and the Davey Jones' Locker Seafloor Mapping/Marine GIS Lab Oregon State University. The current version of BTM is a collaboration between NOAA CSC and ESRI, with thanks also to the the Massachusetts Office of Coastal Zone Management, Cal State University Monterey Bay, the UC-Santa Cruz Institute of Marine Sciences & NOAA Fisheries Ecology Division. Source and Issues: BTM is on GitHub! Get the latest code, send us pull requests, and see our current issues at http://github.com/EsriOceans/btm.en_US
dc.description.refereedRefereeden_US
dc.publisher.placeRedlands, CA, USAen_US
dc.subject.parameterDisciplineParameter Discipline::Marine geologyen_US
dc.subject.parameterDisciplineParameter Discipline::Marine geology::Sonar and seismicsen_US
dc.subject.parameterDisciplineParameter Discipline::Marine geology::Rock and sediment physical propertiesen_US
dc.subject.parameterDisciplineParameter Discipline::Marine geology::Rock and sediment biotaen_US
dc.subject.parameterDisciplineParameter Discipline::Marine geology::Field geophysicsen_US
dc.subject.parameterDisciplineParameter Discipline::Marine geology::Underwater photographyen_US
dc.subject.parameterDisciplineParameter Discipline::Fisheries and aquaculture::Habitaten_US
dc.subject.parameterDisciplineParameter Discipline::Physical oceanography::Acousticsen_US
dc.subject.instrumentTypeInstrument Type Vocabulary::acoustic backscatter sensorsen_US
dc.subject.instrumentTypeInstrument Type Vocabulary::bathymetric LiDARsen_US
dc.subject.instrumentTypeInstrument Type Vocabulary::multi-beam echosoundersen_US
dc.subject.instrumentTypeInstrument Type Vocabulary::sidescan sonarsen_US
dc.subject.instrumentTypeInstrument Type Vocabulary::sound velocity sensorsen_US
dc.subject.dmProcessesData Management Practices::Data analysisen_US
dc.subject.dmProcessesData Management Practices::Data visualizationen_US
dc.subject.dmProcessesData Management Practices::Data processingen_US
dc.date.review2022-11-14
dc.description.sdg14Aen_US
dc.description.eovHard Coral Cover and Compositionen_US
dc.description.eovFish Abundance and Distributionen_US
dc.description.maturitylevelTRL 2 Technology concept and/or application formulateden_US
dc.description.bptypeBest Practiceen_US
obps.contact.contactnameShaun Walbridge
obps.contact.contactemailswalbridge@esri.com
obps.resourceurl.publisherhttp://esriurl.com/btmen_US


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Except where otherwise noted, this item's license is described as Attribution-ShareAlike 4.0 International