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CyberGIS Progress and Perspectives in the Context of USGS . E. Lynn Usery. usery@usgs.gov. http://cegis.usgs.gov. Outline. USGS needs for CyberGIS The National Map and other USGS datasets Progress to date Perspective for the future of CyberGIS at USGS 3DEP Alaska
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CyberGIS Progress and Perspectives in the Context of USGS E. Lynn Usery usery@usgs.gov http://cegis.usgs.gov
Outline • USGS needs for CyberGIS • The National Map and other USGS datasets • Progress to date • Perspective for the future of CyberGIS at USGS • 3DEP • Alaska • Maps and analysis on demand • Some example problems for CyberGIS • Conclusions
USGS Needs for CyberGIS • Multiple nationwide datasets at high resolution • Complex calculations for geospatial data • Integration of multiple datasets • Creating Resource Description Framework (RDF) and semantics from legacy USGS datasets in geodatabase and image formats
Current State • Layer-based approach • Generation of new topographic maps – US Topo • 3 year cycle; 18,000 maps per year, 100 maps per day • Viewer access with display, download, mashups with other data • Problems – rapid display and delivery; relies on tile cache scheme • Uses single CPU computer technology
Datasets of The National Map • National Land Cover Dataset (1992, 2000, 2006, 2011 in work) • National Elevation Dataset (1,1/3,1/9 arc-sec) • National Digital Orthophoto Dataset (multiple dates, multiple resolutions, 1 m, 1/3 m urban areas) • National Hydrography Dataset (NHD) (Medium, High, Local resolution) • Geographic Names Information System (GNIS) • National Structures Dataset • National Boundaries Dataset (US, state, county, minor civil divisions, governmental units) • National Transportation Dataset (TIGER and others)
Progress to date – Focus on complex computation for map projections • pRasterBlaster development continuing • pRasterBlaster Version 1.0 released 01 April 2012 • Identified two substantive I/O bottlenecks • pRasterBlaster Version 1.5 soon (fix identified bottlenecks; parallel I/O Library) • Iterative testing • mapIMG 4.0 (dRasterBlaster -- to be released this fall) • Library of core functions shared by both dRasterBlaster & pRasterBlaster (libRasterBlaster -- almost complete)
Progress to date – Data Availability for CyberGIS • National Elevation Dataset • Current 10 m resolution available for access through cyberGIS
Perspective for the future of CyberGIS at USGS • National Enhanced Elevation Assessment (NEAA) • http://nationalmap.gov/3DEP/neea.html • The results of the assessment indicate that a national-level enhanced-elevation-data program has the potential to generate from $1.2 billion to $13 billion in new benefits annually. • Review of and feedback on 3DEP: program recommendation of Quality Level 2 data and 8 year cycle
Current Status of the Nation’s Elevation Data NEEA Inventory Results Map depicts public sources of LiDAR in all states plus IfSAR data in Alaska 1996 -2011 28% coverage -49 states 15% coverage –Alaska 30+ year replacement cycle Program is well coordinated –less than 10% overlap of coverage Data quality variable Why is this a problem? Remaining 72% coverage is 30 or more years old. Alaska –very poor quality Meets 10% of reported needs Current and emerging needs require higher quality data
3DEP – 3-Dimensional Elevation Program • New program result of NEAA • Trying to get support from multiple Federal and State agencies to produce nationwide coverage • Communicate that the program is more than bare earth elevation –point cloud and other basic derivatives (TBD) will be distributed and archived • 3DEP gives you the perspective to see more than just what’s on the surface
United States Interagency Elevation Inventory • Joint project of USGS, NOAA, and FEMA • http://www.csc.noaa.gov/inventory/#
Alaska Mapping • Mapping Alaska at 1:24,000 (or 1:25,000) scale • State wide SPOT images (2.5 m resolution) are being acquired • Statewide IfSar at 5 m post spacing are being acquired • The National Geospatial Program begins map production in FY 2013 (400 maps planned) • Limited to producing maps where SPOT and IfSar are available
Alaska Mapping Problems • Hydrography • Current National Hydrography Dataset (NHD) from • 1:63,360 scale cannot be used • Generate hydrography from IfSar; match to images • Transportation • No current source; some availability from Census, Open Street Map, and commercial contract • Names – standard and variants; need sources • Boundaries – multiple conflicting sources • Land cover – from National Land Cover Dataset
Maps and Analysis On Demand • Currently use 7.5 min quadrangles • Need to provide user any arbitrary area by name (county for example), user specified area (polygon) • Major shift to realtime processing of requested areas • Not work with current production of over 100 maps per day using GIS software
Some Example Problems – Data Generation • Hydrography from IfSar and 3DEP • Identify geomorphic features for entire United States from current NED or 3DEP when available and images • One possible approach: Use Ontology Design Patterns, geomorphic, and spectral signatures with neural net or other classifiers • Example: craters • Preprocessing for generalization of hydrography and transportation
Some Example Problems Data Conversion and Delivery • Massively parallel conversion of legacy geospatial databases to RDF • Examples for automatic conversion that require high performance computing: NHD, NTD, NBD, NSD • Feature identification and conversion from raster datasets: elevation, imagery, land cover • Tile caching for viewer • Moving data to cloud and delivery will be from there
Some Example Problems – Science Applications • Extract hydrography from lidar in 3DEP; match to current NHD to find problems; add streams found from extraction that are not in current NHD: supports water modeling applications • Data integration of The National Map with other USGS nationwide datasets • Magnetic, gravity, and geologic data • Similar integration with water and biologic datasets
Some Example Problems – Science Applications • Geospatial data integration for intermediate economic resiliency modeling • Integration of geospatial data and its derivatives with cultural, transportation, infrastructure and economic data to model urban supply chains • Integration of natural hazard, meteorological, hydrologic data and natural disaster data of model optimizing the resiliency of supply chain elements
Conclusions • USGS geospatial and map databases can benefit from CyberGIS for production applications • Potential for new science with cyberGIS using nationwide high resolution datasets processed as single units
CyberGIS Progress and Perspectives in the Context of USGS E. Lynn Usery usery@usgs.gov http://cegis.usgs.gov