Integration of Remote Sensing, GPS with Traditional Forest Inventory Procedures

Integration of Remote Sensing, GPS with Traditional
Forest Inventory Procedures

H. A. Londo Research Assistant I College of Forest Resources Mississippi State University Mississippi State alondo@cfr.msstate.edu	P. A. Glass Research Assistant I College of Forest Resources Mississippi State University Mississippi State MS	D. L. Evans Associate Professor Mississippi State University Mississippi State MS
K. L. Belli Professor Mississippi State University Mississippi State MS	R. C. Parker Associate Professor Mississippi State University Mississippi State MS	T. G. Matney Professor Mississippi State University Mississippi State MS
	E. B. Schultz Associate Professor Mississippi State University Mississippi State MS

ABSTRACT

The objective of this research is to use remote sensing information coupled with Global Positioning System (GPS) technology to more efficiently inventory the forest resources in a 4 county area of Mississippi. Satellite imagery was assessed and classified according to age and cover type. Sample plot locations were chosen from the satellite imagery classifications using stratified random sampling criteria then these coordinates were transferred to GPS units to conduct real-time navigation to these plots. Preprogrammed data recorders were then used to record typical forest inventory parameters. After an initial inventory was conducted in each county, allocation of additional plots was performed to achieve a 10% sampling error for total cubic foot volume at the 95% level of confidence.

Initial results indicated an advantage to using the satellite imagery. This could only be accomplished 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.