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Please use this identifier to cite or link to this item: http://hdl.handle.net/10362/2532

Title: Land use / land cover change detection: an object oriented approach, Münster, Germany
Authors: Das, Tanmoy
Advisor: Pebesma, Edzer
Prinz, Torsten
Caetano, Mário
Keywords: Land Use/ Land Cover (LULC)
Change detection
Remote sensing
Object oriented
Accuracy assessment
Landsat
ASTER
Post classification method
Segmentation
Issue Date: 9-Mar-2009
Series/Report no.: Master of Science in Geospatial Technologies;TGEO0016
Abstract: Land use / land cover (LULC) change detection based on remote sensing (RS) data has been established as an indispensible tool for providing suitable and wide-ranging information to various decision support systems for natural resource management and sustainable development. LULC change is one of the major influencing factors for landscape changes. There are many change detection techniques developed over decades, in practice, it is still difficult to develop a suitable change detection method especially in case of urban and urban fringe areas where several impacts of complex factors are found including rapid changes from rural land uses to residential, commercial, industrial and recreational uses. Although these changes can be monitored using several techniques of RS application, adopting a suitable technique to represent the changes accurately is a challenging task. There are a number of challenges in RS application for analysis of LULC change detection. This study applies objectoriented (OO) method for mapping LULC and performing change detection analysis using post-classification technique.(...)
Description: Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
URI: http://hdl.handle.net/10362/2532
Appears in Collections:ISEGI - MSc Dissertations Geospatial Technologies (Erasmus-Mundus)

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