1. Zahid Chaudhry ITO-TAGIS West Virginia Department of Environmental Protection http://zachsgeospatial.blogspot.com/

2. DAM  Digital Photos with GPS Info  Ricoh 500 Ses  Nikon COOLPIX - P 6000  Cell Phone with GPS  Integration with ArcGIS Server Workflow  PHP, Python, Adobe FLEX  Better decision support system

3. EXIF WITH PHP

4. A TTRIBUTES C OLLECTED Category What will be documentedIT solution WhoPhotographer/uploader of the photoRequire input of user ID once a year in app WhatKeywords specific to what the uploader does  flavor based on logon data from user Build database of keywords  these become GIS attributes associated with points. Direction and area of coverageCompass Orientation WhereGPSed coordinatesPosition on the ground is stored in each photo’s EXIF header from the Ricoh Capito 500SE camera’s GPS module Quad, watershed, etc.  geoprocessing based on coordinates Features of interest near the photographer  geospatial analysis based on coordinates and logon data WhenDate and time photo was takenStored in EXIF

5. Q UERIES ?  DMR  SMCRA permit number where EVERY photo is taken.  OOG  API number nearest photo  DWW  WAP number  OAML&R  PAD number EXAMPLES: Find all the photos taken on SMCRA permit number XXXXXXX Find photos take within 5 miles of API number YYYYYYYY

6. C URRENT D ESIGN  Upload multiple photos straight from camera at the same time  Automatically strip out EXIF header info  Get coordinates  Get compass data for photo orientation  Get GPS fix quality data  PDOP  Create an ArcSDE point layer on-the-fly  Allow user to select keywords to merge with point data attributes and write to the application’s Oracle tables

7. DEMO

8. http://zachsgeospatial.blogspot.com/