ASPRS Annual Conference Baltimore 2005

Geospatial Goes Global: From Your Neighborhood to the Whole Planet
ASPRS 2005 Annual Conference
March 7-11, 2005 - Baltimore, MD

Come to Baltimore’s Inner Harbor in 2005

Now is the time to start thinking about the ASPRS 2005 Annual Conference to be held in Baltimore, Maryland, March 7-11, at the Baltimore Marriott Waterfront Hotel. This conference, “Geospatial Goes Global: From Your Neighborhood to the Whole Planet,” will focus on new capabilities and technologies needed for you to succeed as we enter an era where geospatial information increasingly impacts local, national and planetary decisions. The Conference organizers will present an exciting program of interest to professionals in all aspects of remote sensing, geographic information systems, land and natural resources management, environmental management, photogrammetry, lidar and IFSAR, mapping, charting, and geodesy. You will learn about the latest instruments, analysis techniques and sources for “geospatial” data and how their use and applications can range “From Your Neighborhood to the Whole Planet”. Interact with industry colleagues, see products from 100+ vendors and get hands- on knowledge of new hardware and software applications.

In the unlikely event of a program cancellation, ASPRS assumes no liability for any penalty fees on airline tickets, deposits for hotel accommodations, or any other fees, charges, penalties, or other incidental costs that an exhibitor/registrant might incur as a consequence of a program cancellation.

Pineapple fields in Hawaii can be harvested all year round. It is possible to tell when a field is ready to be harvested by the dark green color of the foliage. This QuickBird image, provided by DigitalGlobe, shows two pineapple fields at different stages of the harvest cycle, processed using ENVI image analysis software. Red indicates a harvestready field, and blue indicates a newly harvested field. First the multispectral image was sharpened using the panchromatic image, using ENVI’s new Gram-Schmidt Spectral Sharpening. Then the sharpened image was classified using the Spectral Angle Mapper, followed by clumping of the classes.