USGS Perspective on The Ele-Hydro Concept Adapted from a
presentation by Jeff Simley USGS National Hydrography Data Manager
Slide 2 Erosion and Resistance Slide 3 Integration and registration
Slide 4 Contours integrated with Hydro Heads-up Digitizing
http://letters-sal.blogspot.com/2011/05/digitizing-wacom-way.html
Slide 5 How we think and collect now... Elevation Separate funding
mechanisms $$$ Indiana LiDAR $3.3million Indiana Hydro $2.6million
Data housed separately (raster vs vector) Separate data standards
Managed separately Separate collection methods Hydro National Hydro
Data 100k 24k Local Data Watersheds Vector National Elevation Data
PointCloud DEM Raster Stovepiped Empires Turfs Slide 6 High
Resolution lidar DEM Slide 7 Indianas National Hydrography Data
Update Project Illinois - Indiana Slide 8 LiDAR Point Cloud DEM Veg
Infra- structure Soils Hydro Hydro-Flatten Hydro-Enforced Forest
Canopy Forest Health Crop Health Grasslands Building footprints
Utilities Roof analysis Transportation signage Watershed Boundaries
Drainage features Wetlands Catchments Subbasins Floodplains Slide 9
Hydro Elevation Combined USGS Apps: StreamStats NHDPlus U.S. Topo
How we think now - Some integration occurring... Forcing
integration by burning the Hydro data into the Elevation data Slide
10 U.S. Topo Slide 11 Elevation Vegetation Landcover Catchments
Wetlands NHD Packaging the Data Slide 12 Derive hydrography from
the terrain Slide 13 Indianas Local-Resolution NHD streams and
lidar DEM Slide 14 Integration What does it mean? 1)Alignment of
elevation and hydrography such that streams flow in channels
2)Interoperability such that a levee can be connected to a river
3)Data Model that links elements and features 4)Synthesis such that
streamflow can be estimated 5)Derivatives such that gradient,
channel dimensions, etc. can be calculated 6)Program where a DEM
and Hydro can be jointly produced and funded 7)Synchronization so
that data are temporally coincident 8)Product in a way that both
elevation and hydro can be packaged together 9)Delivery of data to
be accessed in unison Slide 15 Integration Why? 1)Reduce cost
2)Provide improved credibility 3)Produce accurate data 4)Increase
the value of the data 5)Empower science-based decisions 6)Challenge
and drive research Slide 16 An Integrated Landscape All geospatial
software is moving to 3D. It is now an expectation. Steve Snow,
ESRI Imagingnotes.com,
http://www.imagingnotes.com/go/article_freeJ.php?mp_id=292
