Land Use Change Detection of Yamuna River Flood Plain Using Geospatial Technique
Nehal Ahmad1, Saif Said2, Naved Ahsan3

1Nehal Ahmad, Assistant Professor, Department of Civil Engineering, Aliah University, Kolkata (West Bengal), India.
2Saif Said, Associate Professor, Department of Civil Engineering, AMU, Aligarh (Uttar Pradesh), India.
3Naved Ahsan, Professor, Department of Civil Engineering, JMI, (New Delhi), India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 27 June 2019 | Manuscript Published on 04 July 2019 | PP: 30-38 | Volume-8 Issue-1S4 June 2019 | Retrieval Number: A10070681S419/2019©BEIESP
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Abstract: The present study intends to quantify the changes and transformations in features classes of Yamuna River Flood Plain in Delhi. ERDAS imagine 9.2 and Terrset geospatial software were used for image processing and quantitative assessment, transformation, gain and loss, contribution o net change and spatial trend analysis. The Landsat 8 (2018), TM (2000) and MSS (1989) images were acquired for assessing LULC change detection using Maximum Likelihood Classifier. LULC classification was achieved with kappa coefficient and overall accuracy for Satellite images of MSS (1989), TM (2000) and Landsat 8 (2018) as 0.781, 0.892 and 0.804and 86.00%, 92.31%, 86.00% respectively. Analysis reveals the addition of built up area up to 25% from year 2000 onwards and loss in dense forest from 40% to 30%. Vegetation areas recorded a reduction of 15% from 1989 to 2000. Spatial trend reveals the qualitative vulnerability of vegetation classes during the study period. During 1989-2000, dense forest, vegetation and water classes contributed maximum to settlement class and during 2000-2018 an interchange of dense forest and vegetation was witnessed. The study provides an insight to the sustainable planning and management of the river ecosystem that is affected by population expansion.
Keywords: Land Use Land Cover, Change Detection, MLC Algorithm, Geospatial Techniques, Terrset, Yamuna River.
Scope of the Article: Civil and Environmental Engineering