Faculty Publications
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Item Study of dynamic changes through geoinformatics technique: A case study of Karwar coast, west coast of India(Springer, 2019) Yadav, A.; Dodamani, B.M.; Dwarakish, G.S.Shoreline is one of the geo-indicators of the coastal zone. Coastal zone is subjected to threats due to change in shoreline. Shoreline change leads to modification and causes for damages of properties, infrastructure around the shoreline region. These modifications, changes of land expands too many issues of the environment under the coastal zone. The present study was carried out by employing remote sensing and GIS techniques for the coastal regime of Karwar, India. LANDSAT-8 remote sensing data was integrated with the GPS data collected during the field survey. The satellite data is processed and analyzed using ERDAS IMAGINE 2014 tool and ArcGIS 10.3 tool, respectively. High Water Line (HWL) is considered for the extraction of shoreline. The visual interpretation of satellite imageries is carried out to distinguish the HWL. Net Shoreline Movement (NSM) was evaluated by adopting Digital Shoreline Analysis System (DSAS) tool. Statistical methods such as Weighted Linear Regression (WLR), Linear Regression Rate (LRR) and End Point Rate (EPR) were used to estimate the changes of shoreline. The present study reveals that shorelines of Karwar Coast, Ravindranath Taghore beach experiences an average erosion rate is −4.61 m/year (EPR), −1.49 m/year (LRR), and 0.19 (WLR) and Devbagh beach experiences an average erosion rate is −9.74 m/year (EPR), −7.53 m/year (LRR), and −11.55 m/year (WLR). © Springer Nature Singapore Pte Ltd. 2019.Item Shoreline analysis using Landsat-8 satellite image(Taylor and Francis Ltd., 2021) Yadav, A.; Dodamani, B.M.; Dwarakish, G.S.The shoreline is a boundary between wet and dry part of the beach, and it is dynamic in nature. Natural and human factors are always influencing shoreline configuration. One of the important natural events which are responsible for the shoreline configuration along the Karnataka coast is southwest monsoon, and hence there is a change in shoreline position between pre- and post-monsoon. For the present research work, Karwar beach with two beaches, Rabindranath Tagore beach and Devabagh beach along Karnataka coast, West coast of India were selected as study area. Landsat-8 satellite images for the years 2013–2017 were used in the present study and processed for May and October of every year, using ERDAS imagine 2014 and ArcGIS 10.3 tools to generate shoreline configuration maps. Finally, the comparison was made between 2013 and 2017 years, and the results indicate that the Devbagh beach during pre-monsoon season has an average shoreline change rate of ?7.54 m/yr (EPR) and ?5.57 m/yr (LRR) and during post-monsoon season it is 0.34 m/yr (EPR) and ?0.46 m/yr (LRR). Similarly, Rabindranath Tagore beach during pre-monsoon seasons has an average shoreline change rate of 0.004 m/yr (EPR) and 1.67 m/yr (LRR), and in post-monsoon season, it is ?5.77 m/yr (EPR) and ?6.55 m/yr (LRR) respectively. The total uncertainty error was estimated and found to be (Formula presented.) 5.00 m/yr. © 2018 Indian Society for Hydraulics.Item Time-series analysis of erosion issues on a human-intervened coast– A case study of the south-west coast of India(Elsevier Ltd, 2023) Parvathy, M.M.; Balu, R.; Dwarakish, G.S.Coastal erosion has long been identified as a cause of concern for the state of Kerala, situated in the Indian subcontinent, affecting the life and livelihood of millions residing in the coastal belt. The increased human interference supplemented by changes in the climatic pattern in recent years has modified the coastal scenario of the state altogether. The present study attempts to evaluate the effect of anthropogenic influences in modifying the coastal scenario to review the efficiency of the coastal management policy adopted by the state over the years. For this purpose, the shorelines extracted from the available multi-temporal satellite images are analysed using DSAS software to calculate the shoreline change rate prior to 2000 (1973-98) and post-2000 (2002-21) using the linear rate of regression method. The study seeks to key out critically eroding areas, subsequently exploring the possible conducive reasons for the changed coastal scenario. The results indicate a reduction of 34.5% in the share of eroding length, with a visible shift in a substantial portion of coastal stretch from the mild erosion category to the stable category. Despite the state's continuous efforts to curb the issue, the long-term shoreline change over the past 49 years (1973–2021) reveals erosion to be dominant in nearly 39.12% of the coastal length, with the share of eroding length in the southern, central and northern regions as 33.8%, 38.67% and 44.04%, respectively. The results point towards the dominance of human interventions accompanied by climate change impacts as the primary reason for transforming the coast, necessitating the need to modify the state's current coastal management policy. The research emphasises the need for a comprehensive coastal management plan for the state to take heed of the changing climatic scenario. © 2023 Elsevier LtdItem Shoreline change detection using DSAS and Land use/Land cover change analysis of Mangalore coast, southwest coast of India(Elsevier B.V., 2025) Bharath, N.; Swathi, K.K.; Dwarakish, G.S.; Shivanna; Pai, J.This study presents an integrated assessment combining Digital Shoreline Analysis System (DSAS) and multi-temporal Land Use/Land Cover (LU/LC) analysis to quantitatively link shoreline change and land use dynamics along the Mangalore coast, extending 26 km from Talapady in the south to Surathkal in the north. The objectives of the study were 1) to calculate the shoreline change rates for short and long periods along the study area with the help of the DSAS v5.1 tool in ArcGIS, and 2) to calculate LU/LC dynamics using remote sensing data from 1997 to 2022, including accuracy assessment of classifications. The shorelines were extracted by using conventional data (toposheet) and remote sensing data with multi-dated satellite images of Landsat 5, 7, 8 and 9 along with Resourcesat- LISS-?. The shoreline change rates are detected through two statistical methods: Endpoint rate-EPR(m/yr) and Linear regression rate-LRR(m/yr). The change analysis reveals that the coastline is highly eroded about ?3.24 m/yr (EPR) in the year 2000, and highly accreted about +3.99 m/yr (EPR) in 2009 compared to the 1970 shoreline. The long-term change analysis reveals that the coastline shows an average accretion rate of about 1.89 m/yr (LRR). Key limitations include potential errors in shoreline digitisation and spatial resolution constraints, which may impact rate precision. The study emphasises the urgent need for integrated coastal zone management to balance development pressures with environmental sustainability near the Ullal and Bengre regions, and highlights implications for achieving Sustainable Development Goal targets related to climate action and sustainable coastal ecosystems. © 2025 The Authors