We’ve changed the way we store our point data so it is compressed and that has allowed us to put the data where you can pick up big chunks at once. 

One thing I see/hear a lot is people getting confused by percentages of change that are quoted to them or people incorrectly stating the percentages of change relating to features in the data they are using.

The tide level when your imagery is acquired may or may not have an influence on what you are trying to capture. Is your feature of interest impacted by the tide?

On the twelfth day of Christmas my geospatial techy gave to me...

I had an interesting call the other day with someone who was inquiring about high accuracy lidar data for looking at beach renourishment volume calculations.

Wow there is a lot of Post-Sandy data out there!

In the aftermath of Hurricane Sandy, many pointed pictures have surfaced that clearly show the level of destruction that the storm wrought on coastal communities.

So when I came to work today, a lot of my work colleagues asked me why the roads on the way to our office were flooded and why the water level in the Cooper River was in the back yard of the Coastal Services Center.  It wasn’t raining, and we weren’t having a major storm.  So what was the deal?

Hurricane Sandy has given the East Coast quite a wallop.

If I’ve learned anything from my Coastal Services Center colleagues this summer, it’s that all data was created for a particular reason. No data set can do it all or should do it all.