1. Science Data Systems for Satellite and Airborne LiDAR Data AKA – NASA LiDAR Access System (NLAS) NASA ROSES Access project Chuck Meertens Chris Crosby Jeff McWhirter Siri Jodha Singh Khalsa Mike Zucker Bob Stockwell Chaitan Baru Minh Phan, Vishu Nandigam Bryan Blair Michelle Hofton David Harding Claudia Carabajal

2. OpenTopography booth IN31A-1499. Wednesday morning poster session. Increasing the Impact of High-Resolution Lidar Topography Through Online Data Access and Processing Christopher J. Crosby, et. al. IN41C-1632. Thursday morning poster session Rich Support for Heterogeneous Polar Data in RAMADDA Jeff McWhirter, et. al. More Information

3. NLAS Objectives Integrated and simplified access to existing LiDAR data archives – Airborne (OpenTopography) – Terrestrial (UNAVCO & OpenTopography) – Large footprint airborne (NASA LVIS) – Satellite (NASA GLAS (ICESat) at NSIDC) Provide users access to point cloud LiDAR data, on-demand digital elevation models (DEMs) generation, and derivative products. Define enhanced quality control (QC) metrics data formats for IceSAT/GLAS data.

6. -2313174.974,-3717949.974,4622885.034,4,4,4,1166 -2313175.009,-3717949.961,4622885.028,2,2,2,1799 -2313175.001,-3717950.058,4622884.669,2,2,2,1196 -2313175.012,-3717949.889,4622884.824,4,4,4,2659 44882.2501 83.394029 302.947372 21.9063.0003646.0018514 9.22 260 0 109. 1 44882.2501 83.394876 302.937145 22.4024.0018851.0008321 23.13 349 5 -52. 3 44882.5001 83.394258 302.948768 22.0837.0034534.0006233 11.47 244 5 109. 1 44882.5001 83.395109 302.938469 22.1232.0020132 -.0086983 28.39 346 2 -54. 3 44882.7501 83.394491 302.950113 21.7597 -.0048649.0073749 12.28 244 0 107. 1 64.02431712 -41.93081856 50825.580082 0.0 1141.57328053 2 64.025238415 -41.929758005 50826.655015 0.0 1138.42328053 2 64.025546193 -41.9294137367 50827.013328 0.0 1125.4192999 2 LAT LON TIME THICK -80.799058 -93.513982 62726.2582 NaN -80.799646 -93.515586 62726.5665 NaN -80.800232 -93.517186 62726.8740 NaN #YY MM DD hh mm DEPTH OTMP COND SAL O2% O2PPM CLCON TURB PH EH #yr mo dy hr mn m degC mS/cm psu % ppm ug/l FTU - mv 2012 01 01 00 00 1.0 20.70 999.00 35.30 999.0 99.00 999.00 99 99.00 99.00 2012 01 01 01 00 1.0 20.70 999.00 35.30 999.0 99.00 999.00 99 99.00 99.00 Freshwater Switchyard of the Arctic Ocean 2005 Helicopter CTD Profile Cast 1 Station Alpha 29 April 2005 0829 UTC 84 deg 00.26 min North 65 deg 03.11 min West In situ Potential Depth Pres Temp Temp Cond Salinity Sigma (m) (dbar) (degC) (degC) (S/m) (psu) -theta # 3.196 3.220 -1.7430 -1.7430 2.52405 31.7839 25.5652 # data_fields: site year month day hour value unc n flag intake_ht inst BRW 1973 01 01 00 -999.990 -99.990 0 I.. 0.00 N/A BRW 1973 01 01 01 -999.990 -99.990 0 I.. 0.00 N/A BRW 1973 01 01 02 -999.990 -99.990 0 I.. 0.00 N/A Year: 2011 Month: 01 ID: BAL ARGOS: 9116 Name: Baldrick Lat: 82.78S Lon: 13.06W Elev: 1968m 2011 1 1 1 0000 -18.1 765.3 3.7 281.0 83.8 444.0 2011 1 1 1 0300 -20.4 765.6 2.6 326.0 80.3 444.0 #WOA09 JANUARY temperature Statistical mean #COMMA SEPARATED LATITUDE, LONGITUDE, AND VALUES AT DEPTHS (M):0,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,1 25,150,175,200,225,250,275,300,325,350,375,400,425,450,475,500,5 50,600,650,700,750,800,850,900,950,1000,1050,1100,1150,1200,125 0,1300,1350,1400,1450,1500 59.500,- 179.500,2.799,2.808,2.816,2.826,2.834,2.833,2.830,2.827,2.824,2.820,2.813,2.802,2.786,2.768,2.734,2.680,2.641,2.608,2.574,2.523,2.526,2.534,2.491,2.588,2.576,3.051,3.419,3.683,3.766,3.781,3.768,3.737,3.7 27,3.696,3.668,3.643,3.615,3.549,3.476,3.405,3.333,3.253,3.180,3.11 0,3.041,2.957,,,,,,,,,,, "TOA5","CapeBird","CR1000","38966","CR1000.Std.22","CPU:newawsFWv31_CB.C R1","42171","OutCard" "TIMESTAMP","RECORD","TavgUpper","T_RTD","TavgLower","T_RTDLower","presR ead","T_HMP","U_HMP","wspd_avg","wspd_res","wdir_res","wdir_std","maxws"," wdirMaxWspd","TpanelAvg","solarAvg","wspdRead","wdirRead","T_panel","RawDi st","SignalQuality","Dist","battVolt","Pres_us","Temp_us" "TS","RN","","","","","","","","","","","","","","","","","","","","","","","","" "","","Smp","Smp","Smp","Smp","Smp","Smp","Smp","Smp","Smp","Smp","Smp"," Smp","Smp","Smp","Smp","Smp","Smp","Smp","Smp","Smp","Smp","Smp","Smp", "Smp" "2011-12-02 00:20:00",0,-3.262555,-3.313211,0,0,367.8989,- 2.904,80.1,2.98,2.943,242,8.77,3.704,249.6,-0.492,0,2.911,231.6,- 0.522,2.534,202,2.519,13.13,30.18693,5.819439 PBO Station Position Time Series. Reference Frame : IGS08 Format Version,1.0.4 4-character ID,P101 Station name,RandolphLLUT2005 Begin Date, 2005-09-03 End Date, 2012-09-29 Release Date, 2012-09-30 Reference position, 41.6922736024 North Latitude, -111.2360162488 East Longitude, 2016.12225 meters elevation, Date, North (mm), East (mm), Vertical (mm), North Std. Deviation (mm), East Std. Deviation (mm), Vertical Std. Deviation (mm), Quality, 2005-09-03,22.68, 42.87, 15.8, 1.5, 1.31, 5.23, final,

7. An “Information-Centric” approach – Moves us from managing “documents” to managing discrete pieces of open data and A “Shared Platform” approach –… to reduce costs, streamline development, apply consistent standards, and ensure consistency in how we create and deliver information. A “Customer-Centric” approach – Influences how we create, manage, and present data through websites, mobile applications, raw data sets, and other modes of delivery.

8. 1 DATA AS A SERVICE (DAAS). DaaS is clearly a common denominator and should be emphasized in program opportunities within the next two years. The goals are to provide on-demand data sharing through discovery, access, transportation, and delivery to the end user. … this should be viewed, managed, and implemented according to system engineering best practices to ensure openness and platform independence.

9. LiDAR Data Terrestrial LiDAR Scanning TLS 100-500 million points/day tripod 1 cm footprint Satellite - Icesat ~500 thousand points/day 600 km altitude 70 m footprint Airborne - LVIS 5 million points/day 10 km altitude 10 m footprint

10. Consolidation of parameters from 8 GLA product files Eliminating numerous redundant, invalid and unused parameters Producing a single data record for each laser shot Selection of subsets from full ICESat GLA product files Currently ~160 unique parameters in products NLAS/GLANL 100 parameters in “long” subset for advanced users NLAS/GLANL 18 parameters in “short” subset for casual users Definition of 25 additional derived parameters for improved ease of use e.g., Conversion of waveform-derived relative range offsets to elevations Definition of 6 QA/QC parameters to guide selection of appropriate data Source of return: Earth surface, cloud, noise, indeterminate Cause when no geolocation result reported: no return detected, instrument anomaly Non-nadir data acquired during spacecraft maneuver Possible presence of forward scattering range delay Qualitative range precision assessment from S/N and signal fitting residual Data reliability: composite yes/no flag for 8 parameters effecting quality ICESat Consolidated and Enhanced Altimetry Data

11. Open Topography NLAS Web Service NSIDC UNAVCO Collection queries (ATOM) Data access- subset, aggregation, etc

12. RAMADDA Data repository framework – Freely available Java open source package – Extensible plugin architecture Basic content management functionality: – Create, Read, Update, Delete (CRUD) Access control, rich metadata, search, etc. Numerous output formats: RSS / ATOM, DIFF, KML, etc.

13. NLAS Interoperabilty NLAS/RAMADDA Open TopographyVisualization/Analysis Clients NLAS Web Service HTML Interface NLAS Web Service

14. RAMADDA Point Services Stack LVISIceSAT Discrete observation data model – aggregation, subset, filtering, conversion, products File reading framework Code generation, binary records, text formats Data ingest Metadata harvest Browse, charting, mapping NLAS data API ATMParisTLSMcORDS NLAS tools – conversion, tiling

15. Other Point Formats Ameriflux flux tower Antarctic Meteorology Research Center (AMRC) AWS Greenland GC-NET met data UNAVCO PBO position time series NOAA GMD carbon observatory and tower NOAA climate indices CF-NetCDF point and track data Oceanographic data – Seabird CNV, glider, buoy, etc Hydrology – WaterML Etc…

16. UNAVCO TLS Field Project Archive

17. NASA’s ABoVE Project

18. NSF EarthCube IRIS Simple Web Services Building Block Project

19. Demo