Abstract
Abstract. Land Use – Land Cover (LULC) classification mapping is an important tool for management of natural resources of an area. The remote sensing technology in recent times has been used in monitoring the changing patterns of land use-land cover. The aim of the study is to monitor the LULC changes in Jodhpur city over the period 1990–2018. Satellite imagery of Landsat 8 OLI (June, 2018) & Landsat TM (Oct, 1990) were used for classification analysis. Supervised classification-maximum likelihood algorithm is used in ENVI software to detect land use land cover changes. Five LULC categories were used, namely- urban area, mining area, vegetation, water bodies and other area (Rock outcrops and barren land). The LULC classified maps of two different periods i.e. 2018 and 1990 were generated on 1 : 50,000 scale. The accuracy assessment method was used to measure the accuracy of classified maps. This study shall be of good assistance to the town planners of Jodhpur city for the purpose of the sustainable development as per the master plan 2031.
Highlights
Remote sensing (RS) is in general defined as the process of acquiring information about an object, area or phenomenon without being in physical contact with it (Lillesand et al, 2004; Campbell, 2002)
Over twenty-eight years (1990-2018), the changes in area coverage varied from one Land Use - Land Cover (LULC) class to another is shown in Table-5-7
Change detection is made possible by Remote Sensing technology in less time and with better accuracy (Kachhwala, 1985)
Summary
Remote sensing (RS) is in general defined as the process of acquiring information about an object, area or phenomenon without being in physical contact with it (Lillesand et al, 2004; Campbell, 2002). The term is used for satellites and even aircrafts carrying sensors in acquiring information regarding land surface, oceans, glaciers, air currents, etc. The urbanization and availability of higher education opportunities facilitate immigration of labors and qualified professionals. These immigration population creates challenges to the local city planners for creating new public amenities with all urban facilities based on 2031 master plan. Most urban land-use land cover studies have employed data from Landsat satellite (Herold et al, 2002). Classification of Landsat images of Jodhpur, India of two different years 1990 and 2018 have been incorporated in this study of LULC. Every band has provided with different colours, wavelength and resolution assigned for this LULC study (Table-2)
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