Imahori, Gretchen

Jeong, Inseong

Macon, Christopher L

Parrish, Christopher

Pe\u27eri, Shachak

White, Stephen A

Wozumi, Toshi

English

UNH Scholars' Repository

University of New HampshireUniversity of New Hampshire Scholars' RepositoryCenter for Coastal and Ocean Mapping Center for Coastal and Ocean Mapping8-2013Evaluating the USACE's NCMP for NOAAcharting operationsGretchen ImahoriNOAAShachak Pe'eriUniversity of New Hampshire, Durham, shachak.peeri@unh.eduChristopher ParrishUniversity of New Hampshire, DurhamToshi WozumiNOAAStephen A. WhiteUniversity of New Hampshire, DurhamSee next page for additional authorsFollow this and additional works at: https://scholars.unh.edu/ccomPart of the Oceanography and Atmospheric Sciences and Meteorology CommonsThis Conference Proceeding is brought to you for free and open access by the Center for Coastal and Ocean Mapping at University of New HampshireScholars' Repository. It has been accepted for inclusion in Center for Coastal and Ocean Mapping by an authorized administrator of University of NewHampshire Scholars' Repository. For more information, please contact nicole.hentz@unh.edu.Recommended CitationImahori, Gretchen; Pe'eri, Shachak; Parrish, Christopher; Wozumi, Toshi; White, Stephen A.; Jeong, Inseong; and Macon,Christopher L., "Evaluating the USACE's NCMP for NOAA charting operations" (2013). JALBTCX Annual workshop. 703.https://scholars.unh.edu/ccom/703AuthorsGretchen Imahori, Shachak Pe'eri, Christopher Parrish, Toshi Wozumi, Stephen A. White, Inseong Jeong, andChristopher L. MaconThis conference proceeding is available at University of New Hampshire Scholars' Repository: https://scholars.unh.edu/ccom/703O f f i c e  o f  C o a s t  S u r v e y   Evaluating the USACE's NCMP data for NOAA charting operations  Gretchen Imahori1, Shachak Pe’eri2, Christopher Parrish1,2, Toshi Wozumi1, Stephen White1, Inseong Jeong1 and Christopher Macon3  JALBTCX Workshop 08/06/13 1 National Oceanic and Atmospheric Administration, National Ocean Service 2 University of New Hampshire, Center for Coastal and Ocean Mapping/Joint Hydrographic Center 3 US Army Corps of Engineers, Joint Airborne Lidar Bathymetry Technical Center of Expertise    O f f i c e  o f  C o a s t  S u r v e y  Background The National Oceanic and Atmospheric Administration (NOAA) is mandated to acquire hydrographic data and provide nautical charts.  Typically, NOAA uses a combination of in-house and contracting resources to acquire hydrographic data around the coasts of the U.S. and its territories. NOAA’s Hydrographic Surveys Division (HSD) within the Office of Coast Survey (OCS) evaluates outside source data sent to OCS and determines if it can be potentially applied to NOAA Charts.   O f f i c e  o f  C o a s t  S u r v e y  Shallow water bathymetry gap Coastal shallow-water zone • 0 to 4 m below the MLLW – Depths shallower than the Navigable Area Limit Line (NALL). • From 4 to 10 m below the MLLW – Junction area with sonar surveys.   NOAA Chart 13283 (subset over Gerrish Island, ME) Legend         4 m         10 m (Courtesy of JALBTCX) Airborne Lidar Bathymetry (ALB) O f f i c e  o f  C o a s t  S u r v e y  Goal Evaluate the potential use of USACE Airborne Lidar Bathymetry (ALB) data for updating the coastal portion (0-10m) of NOAA charts Based on the study results, recommendations will be provided for different site conditions (geology, water clarity and depth). Also, this will allow the development of future operating procedures with workflows to incorporate the outside source datasets into NOAA’s current workflows for updating the Nautical Charts and other products.  Expected contributions O f f i c e  o f  C o a s t  S u r v e y  Unsurveyed areas NCMP coverage and density  with OCS MBES overlap O f f i c e  o f  C o a s t  S u r v e y  Methodology and Resources • Statistical analysis between overlapping NOAA multibeam hydro surveys with ALB NCMP surveys. • ALB datasets collected by SHOALS and Hawkeye systems. • Software tools: ArcMap (Spatial and 3D-Analyst modules), and LAStools. O f f i c e  o f  C o a s t  S u r v e y  Procedure for Statistical Analysis 1. Calculate the point density distribution (ArcMap). 2. Identify the gaps in the dataset (ArcMap). 3. Generate a surface from the ALB and MBES datasets (ArcMap). 4. Statistical Analysis between datasets (MS Excel/Matlab): • Spatial difference map • Scatter plot • Histogram    O f f i c e  o f  C o a s t  S u r v e y  Study sites Ft. Lauderdale, FL:  2012 NCMP JALBTCX ALB data and 2009 OCS bathy lidar data (H12118) Port Everglades, FL: 2009 NCMP JALBTCX ALB data, 2008 H11896 OCS MB data Kittery, ME: 2007 NCMP JALBTCX ALB data, 2006 W00178 OCS MB data (CCOM-JHC) Pensacola, FL: 2004 and 2010 NCMP JALBTCX ALB data, 2009 H12061 OCS MB data   O f f i c e  o f  C o a s t  S u r v e y  Calibration site: Fort Lauderdale Areas Mean Difference Standard Deviation Fort Lauderdale, FL 0.17m 0.32m   NCMP ALB OCS ALB Date 2012 2009 Spacing 4x4m 2x2m Overlap 200% 100% OCS ALB USACE NCMP Bottom type:  hard bottom and sandy coral. O f f i c e  o f  C o a s t  S u r v e y  Statistical Analysis:  Fort Lauderdale, FL Difference Map (m) Density Map (#/m2) Differences between  2009 OCS lidar and 2012 NCMP lidar   Differences at depth between 2009 OCS lidar and NCMP lidar Area Mean Difference Standard Deviation Fort Lauderdale, FL 0.17m 0.32m O f f i c e  o f  C o a s t  S u r v e y  Study Site: Port Everglades Areas Mean Difference Standard Deviation Port Everglades, FL 0.54m 0.27m Reported Stats NCMP ALB OCS MBES Date 2009 2008 Spacing 4x4m 50 cm – 1 m Overlap 100% 100% OCS MBES USACE NMCP   Bottom type:  hard bottom and sandy coral. O f f i c e  o f  C o a s t  S u r v e y  Statistical Analysis:  Port Everglades, FL Area Mean Difference Standard Deviation Port Everglades, FL 0.54m 0.27m Density Map (#/m2) Difference Map (m) O f f i c e  o f  C o a s t  S u r v e y  Study Site Summary Table  Study Area Seafloor Type/Characteristics NCMP OCS Spacing (m) Coverage Year Spacing (m) Coverage Year Fort Lauderdale, FL Sandy and Hard bottom Coral 4x4 200% 2012 4x4 100% 2009 Port Everglades, FL Sandy and Hard bottom Coral 4x4 100% 2009 0.5x0.5,1x1 100% 2008 Kittery, ME Fine sand with rock outcrop 5x5 100% 2007 0.5x0.5,1x1 100% 2006 Pensacola, FL Sand 3x3, 5x5 100% 2010, 2004 1x1,2x2 100% 2009 O f f i c e  o f  C o a s t  S u r v e y  Mean Differences - - - - 95% CI for mbes data <0.5m O f f i c e  o f  C o a s t  S u r v e y  Statistical Analysis O f f i c e  o f  C o a s t  S u r v e y  Results The NCMP ALB data were found to correlate well with MBES datasets. Largest differences were between 0-2m. The NCMP ALB data can be potentially successful for updating OCS nautical charts under the following conditions: • coastal areas up to 10 m. • Most seafloor types (e.g., rocky/sandy/coral areas), excluding vegetated and muddy areas.  In general the majority of differences are well within the combined uncertainty of the systems (MBES and lidar) that generated the data being compared O f f i c e  o f  C o a s t  S u r v e y  Discussion • It is important to note that the consistency between the datasets is affected by the seafloor type and the survey period: • For example, sandy seafloor near tidal inlets and along-shore bars varies with time. • The bottom detection success (bathymetry) of NCMP datasets over muddy seafloor is very low. • The procedure used here is transferable to the NOAA Hydro processing branches and will work within the current workflow. • This procedure is currently in the process of being expanded to examine other ALB datasets inside (e.g. RSD Sandy ALB) NOAA  and can be used for those outside (e.g., CZMIL, EARRL) NOAA  O f f i c e  o f  C o a s t  S u r v e y  Questions? For more info:  NOAA Technical Memorandum NOS CS 32  (http://www.nauticalcharts.noaa.gov/hsd/lidar.html) O f f i c e  o f  C o a s t  S u r v e y  Thank You! O f f i c e  o f  C o a s t  S u r v e y  Background - data O f f i c e  o f  C o a s t  S u r v e y  NCMP • Acquires topo-bathy lidar data every 5-7 years. • Bathy data exists for many areas along the continental US coastal areas.  • Internal USACE ALB systems: SHOALS and CZMIL. • External (contractors) USACE ALB systems: Optech SHOALS, LADS MKII and AHAB Hawkeye. • NCMP Data is publically available. Topo only NCMP coverage map (JALBTCX, 2012) O f f i c e  o f  C o a s t  S u r v e y  Study Site: Kittery, ME Areas Mean Standard Deviation Kittery, ME 0.17m 0.39m  Reported Stats NCMP ALB OCS MBES Date 2007 2006 Spacing 5x5 50 cm – 1 m Overlap 100% 100% OCS MBES USACE NMCP Seafloor type:  fine sand, gravel with rocky outcrop. O f f i c e  o f  C o a s t  S u r v e y  Density Map (#/m2) Statistical Analysis:  Kittery, ME Area Mean Standard Deviation Kittery, ME 0.17m 0.39m Difference Map (m) O f f i c e  o f  C o a s t  S u r v e y  Study Site: Pensacola, FL (2010) Areas Mean Standard Deviation Pensacola, FL 0.12m 0.94m  Reported Stats NCMP ALB OCS MBES Date 2010 2009 Spacing 3x3 1x1, 2x2 Overlap 100% 200% OCS MBES USACE  NMCP Bottom type:  sand O f f i c e  o f  C o a s t  S u r v e y  Density Map (#/m2) Statistical Analysis:  Pensacola, FL (2010) Area Mean Standard Deviation Pensacola, FL 0.12m 0.94m Difference Map (m) O f f i c e  o f  C o a s t  S u r v e y  Study Site: Pensacola, FL (2004) Areas Mean Standard Deviation Pensacola, FL 0.57m 1.72m  Reported Stats NCMP ALB OCS MBES Date 2004 2009 Spacing 5x5 1x1, 2x2 Overlap 100% 200% OCS MBES USACE NMCP Bottom type:  sand O f f i c e  o f  C o a s t  S u r v e y  Density Map (#/m2) Statistical Analysis:  Pensacola, FL (2004) Area Mean Standard Deviation Pensacola, FL 0.57m 1.72m Difference Map (m) O f f i c e  o f  C o a s t  S u r v e y  Summary plot O f f i c e  o f  C o a s t  S u r v e y  Recommendations for Future Work • Additional work recommended for new systems: – Use QA procedures as a starting point – Patch test – Comparison/analysis between new and older systems – Error uncertainty analysis  O f f i c e  o f  C o a s t  S u r v e y  Lidar/MBES swath comparison in shallow waters Multibeam swath Lidar swath/coverage Plan view Side profile  A A' O f f i c e  o f  C o a s t  S u r v e y  IHO S-44 standards Special Publication N. 44 – 5th Edition, 2008 

Evaluating the USACE\u27s NCMP for NOAA charting operations

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Evaluating the USACE\u27s NCMP for NOAA charting operations

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