Analysis of land use and land cover change in telangana state of India : (Record no. 4841)

MARC details
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005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260817162358.0
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fixed length control field 220302s2019 th uu m rtt 0| a1eng d
035 ## - SYSTEM CONTROL NUMBER
System control number .b12335514
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT RSPR no.RS-19-05
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Apoorva, Galigari
245 10 - TITLE STATEMENT
Title Analysis of land use and land cover change in telangana state of India :
Remainder of title a remote sensing, geographic information system and modeling approach
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. 2019
300 ## - PHYSICAL DESCRIPTION
Extent 41 leaves :
Other physical details ill.
490 1# - SERIES STATEMENT
Series statement Research studies project report ; no. RS-19-05
500 ## - GENERAL NOTE
General note A research study submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Remote Sensing and Geographic Information Systems
502 ## - DISSERTATION NOTE
Dissertation note Research Studies Project Report (M. Eng.) - Asian Institute of Technology. 2019
520 ## - SUMMARY, ETC.
Summary, etc. Land use change models are tools to support the analysis of the causes and consequences of land use dynamics. Land use and land cover change (LUCC) has been recognized as an important driver of environmental change on all spatial and temporal scales. The primary objective of this study is to predict and analyze the present and future growth of Telangana state of India and its surrounding using the Landsat satellite images of 2008, 2010, 2012, 2016 and 2018. These data are used for change prediction and for preparation of prediction map of year 2050. IDRlSI, Land Change Modeler (LCM) was used to analyze the land use and land cover changes between various classes during the period 2008-2018. Erdas Imagine software were also used to prepare land use/cover classification using image processing and unsupervised classification method in a multi-temporal approach. The prediction ofland use land cover change was done on neural network built-in module in the Selva version of IDRlSI. Thereafter, a multi-layer perception neural network technique was used to model transition potentials of various LULC types, which was later realized with a Markov Chain land use model to predict future changes. The integration of advanced satellite remote sensing tools and neural network aided Markov Chain modeling was illustrated to be an effective means for LULC change detection and prediction in Telangana state, India.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Geographic information systems
Geographic subdivision India
-- telangana
General subdivision Remote sensing
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Land cover
General subdivision Geographic information systems
Geographic subdivision India
-- telangana
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Land use
General subdivision Remote sensing
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Tripathi, Nitin Kumar,
Relator term Chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Mozunmder, Chitrini,
Relator term Examination Committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Miyazaki, Hiroyuki,
Relator term Examination Committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology Fellowship,
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 Research studies project report ; no. RS-19-05
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Operator's initials, OID (RLIN) 0
Cataloger's initials, CIN (RLIN) 220302
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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 : 30050120892574
CREATED CREATED : 2019-12-18
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Barcode Barcode : 30050211019780
CREATED CREATED : 2022-02-03
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Barcode Barcode : 30050211019772
CREATED CREATED : 2022-02-03
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Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type Cost, normal purchase price
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 17/08/2026   AIT RSPR no.RS-19-05 30050120892574 17/08/2026 1 17/08/2026 40-Archives  
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 17/08/2026   AIT RSPR no.RS-19-05 30050211019780 17/08/2026 1 17/08/2026 20-AIT Publication 50.00
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 17/08/2026   AIT RSPR no.RS-19-05 30050211019772 17/08/2026 2 17/08/2026 20-AIT Publication 50.00
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