TY  - SER
AU  - Apoorva,Galigari
AU  - Tripathi,Nitin Kumar
AU  - Mozunmder,Chitrini
AU  - Miyazaki,Hiroyuki
ED  - Asian Institute of Technology Fellowship,
TI  - Analysis of land use and land cover change in telangana state of India: a remote sensing, geographic information system and modeling approach
T2  - Research studies project report ; no. RS-19-05
PY  - 2019///
CY  - Pathum Thani, Thailand
PB  - Asian Institute of Technology
KW  - Geographic information systems
KW  - India
KW  - telangana
KW  - Remote sensing
KW  - Land cover
KW  - Land use
N1  - A research study submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Remote Sensing and Geographic Information Systems; Research Studies Project Report (M. Eng.) - Asian Institute of Technology. 2019
N2  - 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.
ER  -