Assessment of soil salinity in a Tropical zone using ALOS PALSAR satellite imagery and ANN model (Record no. 9356)

MARC details
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fixed length control field 05116nas a2200433 a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260817163642.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170919s2014 th uu m rtt 000 a|eng d
035 ## - SYSTEM CONTROL NUMBER
System control number .b1219170x
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT Diss. no.RS-14-07
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Walaiporn Phonphan
245 10 - TITLE STATEMENT
Title Assessment of soil salinity in a Tropical zone using ALOS PALSAR satellite imagery and ANN model
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Pathum Thani, Thailand :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 2014
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (104 leaves) :
Other physical details ill.
490 1# - SERIES STATEMENT
Series statement Dissertation ;
Volume/sequential designation no. RS-14-07
500 ## - GENERAL NOTE
General note A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Remote Sensing and Geographic Information Systems
502 ## - DISSERTATION NOTE
Dissertation note Thesis (Ph. D.) - Asian Institute of Technology, 2014
520 ## - SUMMARY, ETC.
Summary, etc. Soil salinity is akey agricultural issuein many areas and,without effective investigation and management,canaggravateandexpand. Soil scientists categorize thesoil salinity level by Electrical Conductivity (EC) measurement.However, field measurements of EC values require extensive time, cost, resources, and experience. Thus, remote sensing is an attractive alternativeforcollecting and investigatingspatial data inlarger areas within short time. Due to constraints inoptical image data,microwave remote sensing data was chosen as a tool to study the tropical zone as the area of interest, which is intensely influenced by rainfall and humidity. ALOS L-band provides long wavelength with deep penetrationconsidered as reliable and useful forstudying the field under theaboveconditions.According to soil theory, the EC value isrelatedtosurface roughness and soil moisture.Severalresearchers estimated soil moisture through microwave remote sensing data, but there are fewstudies investigatingthe direct relationship between EC and Backscattering Coefficient(BC). Other researchers have studied through various models or variables that provednot quitesuccessful in derivingEC directly from BC data due to incorporating a large number of inputs and a complex multistage examination to identify salinesoil areasthroughout the learning process.Thus, the study aims to propose anestimation of EC directly from BC of microwave remote sensing data,i.e., arelationship between EC obtained from field survey and BC from microwavedata. Implementation of the study startedbyanalyzingstatistical data comprising EC data from asaline soil field survey and BC of PALSAR-ALOS databy statisticbased methods to investigate therelationship between EC and BC values. Various advanced statistical measurements such as Pearson correlation, regression modeland model fitting (polynomial, logarithm)were applied in this research. The research found thattheregression model gives an r-square value of0.743forthe relationship of EC and BC. Ther-square values were subjecttoanincrease asthepolynomialwas adjusted in the model. Artificial Neural Network (ANN) is one of the techniques to figure out the EC -BC relationshipproposed in this study.The ANN model presented anr-squarevalue of0.93,which was regarded high. BC from radar is influenced bymoisture and surface roughness, which are the main factors in identifying whether anarea has asoil salinity issue or not. Results of the research also reaffirmthe potentialof Radar BC in estimating and monitoring salineareas throughtheANN modellearning process.Therefore, the relationship between BC and EC wasused to develop asalinity modelsuitingthe real-time scenario,whichcan be successfully utilized as an effective analytical tool for EC estimation from microwave remote sensing (PALSAR ALOS) data.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Soil salinization
General subdivision Remote sensing
Geographic subdivision Thailand, Northeastern
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Tripathi, Nitin Kumar,
Relator term Chairperson
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Apisit Eiumnoh,
Relator term Examination Committee
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name TaravudhTipdecho,
Relator term Examination Committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Nakamura, Shinichi,
Relator term Examination Committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SuanSunandhaRajabhat University, Thailand,
Relator term Scholarship Donor
810 2# - SERIES ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology.
Title of a work Dissertation ;
Volume/sequential designation no. RS-14-07
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B00773">http://203.159.5.9/ait-thesis/detail.php?q=B00773</a>
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Cataloger's initials, CIN (RLIN) 170919
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Koha item type 20-AIT Publication
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      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 17/08/2026 50.00   AIT Diss. no.RS-14-07 30050120517213 17/08/2026 1 17/08/2026 20-AIT Publication
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 17/08/2026 50.00   AIT Diss. no.RS-14-07 30050120517189 17/08/2026 2 17/08/2026 20-AIT Publication
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 17/08/2026     AIT Diss. no.RS-14-07 30050120397871 17/08/2026   17/08/2026 40-Archives
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