000			03617nas a2200421 a 4500
005			20260817162358.0
008			220302s2019 th uu m rtt 0| a1eng d
035			_a.b12335514
099		9	_aAIT RSPR no.RS-19-05
100	1		_aApoorva, Galigari
245	1	0	_aAnalysis of land use and land cover change in telangana state of India : _ba remote sensing, geographic information system and modeling approach
260			_aPathum Thani, Thailand : _bAsian Institute of Technology, _c2019
300			_a41 leaves : _bill.
490	1		_aResearch studies project report ; no. RS-19-05
500			_aA research study submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Remote Sensing and Geographic Information Systems
502			_aResearch Studies Project Report (M. Eng.) - Asian Institute of Technology. 2019
520			_aLand 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	_aGeographic information systems _zIndia _ztelangana _xRemote sensing
650		0	_aLand cover _xGeographic information systems _zIndia _ztelangana
650		0	_aLand use _xRemote sensing
700	1		_aTripathi, Nitin Kumar, _eChairperson
700	1		_aMozunmder, Chitrini, _eExamination Committee
700	1		_aMiyazaki, Hiroyuki, _eExamination Committee
710	2		_aAsian Institute of Technology Fellowship, _eScholarship Donor
810	2		_aAsian Institute of Technology. _tResearch studies project report ; no. RS-19-05
907			_a.b12335514 _bmnait _cm
902			_a220601
998			_b0 _c220302 _dm _ea _fm _g0
945			_lmnait
945			_lmnait
945			_lmnarc
942			_c40
942			_c20
909			_aBarcode : 30050120892574 _bCREATED : 2019-12-18 _cRECORD # : i13242398 _dLPATRON : 0 _eLCHKIN : - _f# RENEWALS : 0 _g# OVERDUE : 0 _hIUSE3 : 0 _iTOT CHKOUT : 0 _jTOT RENEW : 0
909			_aBarcode : 30050211019780 _bCREATED : 2022-02-03 _cRECORD # : i13370856 _dLPATRON : 0 _eLCHKIN : - _f# RENEWALS : 0 _g# OVERDUE : 0 _hIUSE3 : 0 _iTOT CHKOUT : 0 _jTOT RENEW : 0
909			_aBarcode : 30050211019772 _bCREATED : 2022-02-03 _cRECORD # : i13370868 _dLPATRON : 0 _eLCHKIN : - _f# RENEWALS : 0 _g# OVERDUE : 0 _hIUSE3 : 0 _iTOT CHKOUT : 0 _jTOT RENEW : 0
999			_c4841 _d4841