SSSAJ Journal of Natural Resources and Life Sciences Education
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Full Text Free
Right arrow Full Text (PDF) Free
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via ISI Web of Science (1)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Brannon, G.R.
Right arrow Articles by Hajek, B.F.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Brannon, G.R.
Right arrow Articles by Hajek, B.F.
GeoRef
Right arrow GeoRef Citation
Agricola
Right arrow Articles by Brannon, G.R.
Right arrow Articles by Hajek, B.F.
Soil Science Society of America Journal 64:679-680 (2000)
© 2000 Soil Science Society of America

DIVISION S-5-PEDOLOGY

Update and recorrelation of soil surveys using gis and statistical analysis

G.R. Brannona and B.F. Hajekb

a USDA-NRCS, P.O. Box 311, Auburn, AL 36830 USA
b Agronomy and Soils Dep., Auburn Univ., Auburn, AL 36830 USA

greg.brannon{at}al.usda.gov

The introduction of U.S. soil taxonomy and the increased pressure on land use and development has generated the need to update soil surveys that were published before 1965. A portion of a pre-1965 soil survey from Montgomery county in Alabama was selected to evaluate an update approach using geographic information system (GIS) and statistical analysis. The update included map recompilation, correlation, interpretation, and presentation methods. Sampling points were identified with a stratified random sampling and data obtained at each point were analyzed by traditional statistical methods. The taxonomic accuracy was 75 to 83% at a confidence level of 90%. Interpretative reliability was 90 to 95% for dwellings without basements, 95 to 98% for septic tank absorption fields, and 93 to 98% for local roads and streets. Updating old soil surveys by using GIS technology and statistical evaluation can produce a quality soil survey that meets or exceeds National Cooperative Soil Survey (NCSS) standards. Using this method, an experienced soil scientist can update, recorrelate, and recompile {approx}40180 ha (100000 acres) yr-1. This is an increase in production of 22090 to 24100 ha (55000–60000 acres) or {approx}120 to 150% compared with conventional remapping methods.

Abbreviations: GIS, geographic information system • MLRA, Major Land Resource Area • NCSS, National Cooperative Soil Survey







HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
The SCI Journals Agronomy Journal Crop Science
Journal of Natural Resources
and Life Sciences Education
Vadose Zone Journal
Journal of Plant Registrations Journal of
Environmental Quality
The Plant Genome
Copyright © 2000 by the Soil Science Society of America.