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Intergration of Remote Sensing and GPS with Tradiditonal Forest Inventory Procedures

The objective of this research was to demonstrate a procedure for using satellite remote sensing information coupled with Global Positioning System (GPS) technology to improve the efficiency of an inventory of forest resources in a four county area of Mississippi. Landsat satellite imagery was classified according to whether a location was forest or non-forest, and if forest then according to age and forest composition.Field plot locations were selected based on the satellite derived information using stratified random sampling criteria.Plot location coordinates were transferred to GPS units for real-time navigation to the plots.Data recorders with customized software were then used to record typical forest inventory parameters.After an initial inventory was conducted in each county, additional plots were allocated to achieve a ±10% sampling error for total cubic foot volume at the 95% level of confidence.

Initial results indicate there is an advantage to using the satellite imagery for pre-stratification of field plot location and forest stratum area determination.This advantage can be efficiently exploited with the use of GPS technology.Further applications of this procedure include testing on a larger land base such as a state or region, and integration with existing large area inventory programs.

To transfer the technology to the client, an interactive dynamic report generator called Mississippi Forest Monitoring and Inventory (MSFMIS) dynamic report generator was developed. The program can derive reports from an inventory database stored on a public server, or optionally on a locally stored inventory database.A version of the program can be downloaded from the web site www.fwrc.msstate.edu/software.asp.

Data Development
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Analysis And Reporting
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