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Development of predictive mapping te...

Elnaggar, Abdelhamid A.

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Development of predictive mapping techniques for soil survey and salinity mapping.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Development of predictive mapping techniques for soil survey and salinity mapping./
Author:	Elnaggar, Abdelhamid A.
Description:	162 p.
Notes:	Adviser: Jay S. Noller.
Contained By:	Dissertation Abstracts International68-07B.
Subject:	Agriculture, Soil Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3276926
ISBN:	9780549150893

Development of predictive mapping techniques for soil survey and salinity mapping.
Elnaggar, Abdelhamid A.

Development of predictive mapping techniques for soil survey and salinity mapping. - 162 p.

Adviser: Jay S. Noller.

Thesis (Ph.D.)--Oregon State University, 2007.

Conventional soil maps represent a valuable source of information about soil characteristics, however they are subjective, very expensive, and time-consuming to prepare. Also, they do not include explicit information about the conceptual mental model used in developing them nor information about their accuracy, in addition to the error associated with them.

ISBN: 9780549150893Subjects--Topical Terms:

1017824
Agriculture, Soil Science.

Development of predictive mapping techniques for soil survey and salinity mapping.
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005 20110517
008 110517s2007 ||||||||||||||||| ||eng d
020 $a 9780549150893
035 $a (UMI)AAI3276926
035 $a AAI3276926
040 $a UMI $c UMI
100 1 $a Elnaggar, Abdelhamid A. $3 1264112
245 1 0 $a Development of predictive mapping techniques for soil survey and salinity mapping.
300 $a 162 p.
500 $a Adviser: Jay S. Noller.
500 $a Source: Dissertation Abstracts International, Volume: 68-07, Section: B, page: 4198.
502 $a Thesis (Ph.D.)--Oregon State University, 2007.
520 $a Conventional soil maps represent a valuable source of information about soil characteristics, however they are subjective, very expensive, and time-consuming to prepare. Also, they do not include explicit information about the conceptual mental model used in developing them nor information about their accuracy, in addition to the error associated with them.
520 $a Decision tree analysis (DTA) was successfully used in retrieving the expert knowledge embedded in old soil survey data. This knowledge was efficiently used in developing predictive soil maps for the study areas in Benton and Malheur Counties, Oregon and accessing their consistency. A retrieved soil-landscape model from a reference area in Harney County was extrapolated to develop a preliminary soil map for the neighboring unmapped part of Malheur County. The developed map had a low prediction accuracy and only a few soil map units (SMUs) were predicted with significant accuracy, mostly those shallow SMUs that have either a lithic contact with the bedrock or developed on a duripan. On the other hand, the developed soil map based on field data was predicted with very high accuracy (overall was about 97%).
520 $a Salt-affected areas of the Malheur County study area are indicated by their high spectral reflectance and they are easily discriminated from the remote sensing data. However, remote sensing data fails to distinguish between the different classes of soil salinity. Using the DTA method, five classes of soil salinity were successfully predicted with an overall accuracy of about 99%. Moreover, the calculated area of salt-affected soil was overestimated when mapped using remote sensing data compared to that predicted by using DTA. Hence, DTA could be a very helpful approach in developing soil survey and soil salinity maps in more objective, effective, less-expensive and quicker ways based on field data.
590 $a School code: 0172.
650 4 $a Agriculture, Soil Science. $3 1017824
650 4 $a Remote Sensing. $3 1018559
690 $a 0481
690 $a 0799
710 2 $a Oregon State University. $3 625720
773 0 $t Dissertation Abstracts International $g 68-07B.
790 $a 0172
790 1 0 $a Noller, Jay S., $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3276926