Classification and Assessment of the Land Use – Land Cover Changes in Jodhpur City Using Remote Sensing Technologies

Abstract

<p><strong>Abstract.</strong> 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<span class="thinspace"></span>:<span class="thinspace"></span>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.</p>

Spectral Enhancement of Imagery for Small Inland Water Bodies Monitoring: Utilization of UAV-Based Data

“…Identification of land use/land cover changes and their quality monitoring have been based on remotely sensed data since the 70s along with Landsat existence (Bukata, Harris and Bruton, 1974;Lin et al, 2014;Maleki et al, 2018;Pechanec et al, 2014;Saharan et al, 2018). Landsat data was successfully used for water bodies observation and identification of their shorelines many times, e.g.…”