PAMAP News (March 2011)


 

 

Lidar Data (2008 Acquisition)
 
All remaining 2008 Lidar data products have now been accepted and are available through PAMAP services channels.
Final Accuracy Assessment Reports, QA Reports, and metadata will be completed in March and posted to the PAMAP website.
The statewide Lidar project initiated in 2006 is now complete. The Commonwealth has one of the most detailed and highest-accuracy elevation data sets in the nation.
 
 
Orthoimagery (2008 Acquisition)
 
All remaining 2008 orthoimagery has been accepted and is available through PAMAP services channels.
 
 
Orthoimagery
 
The PAMAP Program has taken delivery of spring 2010 imagery from iCubed (AerialsExpress) for Susquehanna, Bradford, Wyoming, Sullivan, Lycoming, Clinton, Centre, Allegheny, Washington, and Greene counties. This imagery can be used by all levels of government, education institutions, and non-profit organizations. It will be released for public use after a to-be-determined sunset period. Organizations wishing to acquire this imagery should contact the PAMAP Program.
 
The Program has taken delivery of spring 2009 imagery for Erie County, summer 2009 imagery for Beaver, Allegheny, Westmoreland, Washington, Greene, and Fayette counties, and fall 2009 imagery for Mercer, Lawrence, Butler, and portions of Armstrong counties. This is 30cm (1-foot) resolution natural color imagery. This data is now available for public use. Organizations wishing to acquire this imagery should contact the PAMAP Program. Public release will be through PASDA and other PAMAP services channels.
 
The 2010 NAIP county mosaics (all counties) are now available through PASDA.
 
Vector Data
 
PAMAP vector layers of roads, railroads, hydrography, boundaries, building footprints, and building points are available through PASDA and other PAMAP services channels. This data is from county sources and has been aggregated to statewide feature classes.
 
The PAMAP Program will be conducting a project in 2011 to perform a needs analysis and requirements study for building data. The project will include a plan to develop building data with various sources, including existing data, Lidar, and imagery. In conjunction with the project, a new round of data collection will be conducted with counties to gather road and building data. A more robust review and loading procedure will be used to create updated statewide feature classes for distribution.