> Research > Intergration of Remote Sensing

Analysis & Reporting

Inventory analysis with MSFMIS is accomplished through an interface that allows the user to define several criteria for compiling results.  The user has the ability to select from several inventory databases.  Currently the USDA-USFS 1992 Southeastern FIA database and the Mississippi Pilot Inventory database are available for inventory calculations.  A unique feature of MSFMIS is the versatility in selecting the area for analysis.  An interactive map is provided that allows the selection of a single county or multiple counties , or the selection of a geographic region by outlining the area of interest with a polygon .  The only restriction placed on the regional selection method is the total area within the polygon must be larger than 200 square miles. This insures that an adequate number of sample plots are included in the computations.  After the region under consideration has been defined, the user can then expand or restrict the analysis based on the attributes of interest.  Four separate reports will be available with the commercial version (Area, Regeneration, Growth and Volume), however, the current version only reports timber volumes with standard stand and stock tables.

A typical application scenario for forest industry would be to determine whether an area would be capable of supporting an additional milling facility.  Their analysis objective would be to determine the total volume available that is capable of meeting milling specifications.  Utilizing MSFMIS, the region of interest would be identified and the generalized criteria: Species, Forest Type, Ownership, Stand Size, Origin, Tree Product, Logging Operability, Tree and Stand Level Damages and Physiographics would be designated.  These selection criteria would then be used to extract and process the inventory information from the database to produce standardized volume reports.  Additionally, MSFMIS computes the associated statistics and sampling errors for each density and volume category.  Particular attention should be paid to the sampling errors associated with the various density and volume estimates.  The sampling error presented represents the combined variance structure from the acreage estimate and the volume estimate.