A model for estimating tea yield by combining remote sensing parameters and GIS : (Record no. 77390)

MARC details
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005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260818155451.0
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fixed length control field 090301s2000 th uu m rtt 00| a1eng d
035 ## - SYSTEM CONTROL NUMBER
System control number .b11822193
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT Thesis no.SR-00-06
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Rajapakse, Rajapakse Mudiyanselage Sepalika Sandhya
245 12 - TITLE STATEMENT
Title A model for estimating tea yield by combining remote sensing parameters and GIS :
Remainder of title a case study of a tea plantation in Sri Lanka
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Bangkok :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 2000
300 ## - PHYSICAL DESCRIPTION
Extent 87 leaves
490 1# - SERIES STATEMENT
Series statement Thesis ;
Volume/sequential designation no. SR-00-06
500 ## - GENERAL NOTE
General note A thesis submitted in partial fulfillment of the requirement for the degree of Master of Science, School of Advanced Technologies
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Asian Institute of Technology, 2000
520 ## - SUMMARY, ETC.
Summary, etc. Tea is very important cash crop for Sri Lanka as it is the number one foreign exchange earner for the country. Monitoring tea yield is vital from both management of tea plantation and commercial purpose. Tea yield depends on various land use and environment parameters. Remote sensing provides useful information on existing crop condition. In this analysis an attempt has been made to predict tea yield using remote sensing and other key parameters in GIS environment. Leaf area index (LAI) is one main key factor useful in crop growth models that may be derived from optical remote sensing data. The LAI during the plucking stage is an important state variable in tea yield modeling. The LAI is a major factor determining crop reflectance and is often used in crop reflectance modeling. Therefore, the relationship between tea LAI and optical remote sensing parameter (NDVI) was investigated and this is very important in developing yield prediction models for tea. A model with a logarithmic function was adopted to find the relationship between NDVI (satellite image) and measured LAI. Satellite derived LAI values and existing spatial, meteorological and agronomic variables with statistical regression analysis and analytical capabilities of GIS were used to develop a model for tea yield estimation. Although different methods were tried to find the best model by using multiple regression, a model develop by using weights of considered variables selected as the suitable model for predicting tea yield as it gives a 95% level of significance.
650 10 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Tea
Geographic subdivision Sri Lanka
650 10 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Tea
General subdivision Remote sensing
650 10 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Tea
General subdivision Yields
650 10 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Geographic information systems
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Tripathi, Nitin Kumar,
Relator term Chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Honda, Kiyoshi,
Relator term Examination Committee
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Lal Samarakoon,
Relator term Examination committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Schumann, Robert L. G.,
Relator term Examination Committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element AIT Partial Scholorship,
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 Thesis ;
Volume/sequential designation no. SR-00-06
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B06824">http://203.159.5.9/ait-thesis/detail.php?q=B06824</a>
907 ## - LOCAL DATA ELEMENT G, LDG (RLIN)
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a 240401
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Operator's initials, OID (RLIN) 0
Cataloger's initials, CIN (RLIN) 010309
First date, FD (RLIN) m
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945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnait
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnait
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnarc
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 22-AIT Thesis (Replacement)
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 40-Archives
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 20-AIT Publication
909 ## - LOCAL ITEMS USED
Barcode Barcode : 30050120694632
CREATED CREATED : 2014-04-28
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CREATED CREATED : 2020-10-07
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Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Cost, normal purchase price Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 18/08/2026 50.00   AIT Thesis no.SR-00-06 30050120694632 18/08/2026 3 18/08/2026 22-AIT Thesis (Replacement)
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 18/08/2026     AIT Thesis no.SR-00-06 30050160022835 18/08/2026 1 18/08/2026 40-Archives
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 18/08/2026     AIT Thesis no.SR-00-06 30050121017924 18/08/2026 1 18/08/2026 20-AIT Publication
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