The USDA Forest Service, Forest Health Protection, is responsible for
maintaining an ORACLE database named the Southern Pine Beetle Information System
(SPBIS). SPBIS was designed to store survey data for Southern Pine Beetle (SPB)
infestations on federal land across the southern United States.
The main purpose of this project is to improve the SPBIS database to aid in
management of SPB infestations to reduce losses, to harvest compromised timber while it
still has value, and to assist resource managers in preventing further infestations from
becoming established. The SPBIS mobile mapping system addresses current problems
with the database and offers viable solutions to each.
Mobile mapping technology is a versatile tool, which is used to collect field data,
with unique geospatial time tags and attributes, for integrating into or updating a GIS
(Rasher 2001). The ability to efficiently collect data is essential to developing a useable
database.
The time required to manually enter data into the database is substantial. Ranger
district personnel often do not have the time or the desire to enter data. Currently, the
database is lacking years of survey and infestation data due to these negligent data entry
practices, limiting the usefulness database.
Currently, SPBIS data is recorded on a paper survey form. This system introduces
a digital version of this form. A time study conducted to define the efficiency of each
survey showed that the digital form to be more efficient with a Mann-Whitney p- value of
0.004. A comparative study was conducted to define the difference between currently
estimated SPB infestation acreage and those measured using GPS. A Mann-Whitney pvalue
of 0.000 shows the significant difference between the two acreage values. GPS
measured acreage proved to be more accurate thus promoting the use of GPS for
measuring acreage. Navigation us ing GPS coordinates was successful and will greatly
decrease the time required to locate a SPB infestation on the ground.
This thesis describes a mobile mapping system designed specifically to remedy
the problems associated with SPBIS. This system eliminates the need for manual entry of
field-collected data, while improving field data collection in terms of efficiency and
accuracy.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/2342 |
| Date | 29 August 2005 |
| Creators | Petty, Saul David |
| Contributors | Coulson, Robert N., Smith, Charles T. |
| Publisher | Texas A&M University |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Thesis, text |
| Format | 8691353 bytes, electronic, application/pdf, born digital |
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