Conference Papers
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Item Integrated coastal zone management plan and coastal zone information system for Mangalore Coast, West Coast of India(2006) Dwarakish, G.S.; Shetty, D.; Rajarama; Pai, J.; Natesan, U.In the present study, Integrated Coastal Zone Management Plan (ICZMP) has been developed for Mangalore Coast in Karnataka, along the West Coast of India, by analyzing the remotely sensed data and conventional data. The various data products used in the present study includes, IRS-1C LISS-III+PAN and IRS-P6 LISS IV remotely sensed data, Naval Hydrographic Chart and Survey of India (SOI) toposheets. Different thematic maps prepared in the present study includes, land use/ land cover map, bathymetry map, shoreline configuration map, transportation and drainage network maps, GPS survey map, CRZ map, contour map, DEM, inundation map and coastal erosion vulnerability map. The results of the present study are encouraging. Some of the specific conclusions of the study are; eight coastal vulnerability sites have been identified, significant increase in the built-up area and decrease in the agricultural land, no large scale erosion or deposition in the vicinity of coastal structures such as seawalls, breakwaters and entrance channel of New Mangalore Port Trust and the beaches along the Mangalore Coast are maintaining dynamic equilibrium. To get the online information about all these, Coastal Zone Information System (CZIS) has been developed through V. B. 6. 0. using results of various data analyses.Item Integrated coastal zone management plan for udupi coast using RS, GIS and GPS(2007) Dwarakish, G.S.; Vinay, S.A.; Dinakar, S.M.; Pai, J.; Mahaganesha, K.; Natesan, U.Coastal areas are under great pressure due to increase in human population and industrialization/commercialization and hence these areas are vulnerable to environmental degradation, resource reduction and user conflicts. In the present study an Integrated Coastal Zone Management Plan (ICZMP) has been developed for Udupi Coast in Karnataka, along West Coast of India. The various data products used in the present study includes IRS-IC LISS-III + PAN and IRS-P6 LISS III remotely sensed data, Naval Hydrographic Charts and Survey of India (SOI) toposheets, in addition to ground truth data. Thematic maps such as land use/ land cover map, bathymetry map, shoreline configuration map, transportation and drainage network maps, GPS survey map, CRZ map, contour map, DEM, inundation map, critical erosion area map were prepared. A Coastal Vulnerability Index has also been calculated for the study area to know the resistance of study area to sea level rise and is demarcated into four categories; Very high, High, Moderate and Low vulnerability, and a vulnerability map has been prepared. The results of the present study are encouraging. Some of the specific conclusions of the study are; about 50% study area is prone to erosion, river mouths along study area show shifting tendency towards south, and the beaches along the Udupi Coast are maintaining dynamic equilibrium. Coastal Zone Information System (CZIS) has been developed through V.B.6.0 using results of various data analysis.Item Erosion and Accretion in the Netravati River Stretch: Spatiotemporal Analysis Using Geospatial Approach(Springer Science and Business Media Deutschland GmbH, 2024) Makhdumi, W.; Shwetha, H.R.; Dwarakish, G.S.Understanding erosion and accretion, which are critical geomorphic processes, is essential for effective river management and conservation. Erosion by removing soil and rock changes the river's shape, depth, and course. Accretion, conversely, involves the deposition and accumulation of sediment, shaping features like riverbanks and floodplains. Focused on a 30 km stretch of the Netravati River, in the southwestern region of India, this study used Survey of India toposheets and Landsat images to track changes over time (1973, 1998, 2022). The Normalised Difference Water Index (NDWI) and image classification were employed for the analysis which revealed notable spatiotemporal variations in these processes. From 1973 to 2022, the analysis estimated a total erosion of 510.43 hectares and an accretion of 317.71 hectares. The years 1973–1998 witnessed more accretion (417.6 hectares) than erosion (229.08 hectares). And, from 1998 to 2022, erosion dominated at 438.37 hectares, with only 56.97 hectares of accretion. These variations can be attributed to both natural processes and human interventions. Notably, the construction of a vented dam in 1993 at Thumbe, followed by the subsequent dam in 2016, 50 m downstream of the old dam, influenced the sediment dynamics and flow patterns in the Netravati River, potentially impacting erosion and accretion processes. This research adds to our understanding of erosion and sediment changes in the Netravati River over time. The dams and hydraulic structure upstream along with geospatial techniques offer researchers and river managers a unique opportunity to examine river shape impacts and thus develop sustainable strategies for river preservation. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.Item Analysis of Land Use Land Cover Change Detection Using Remotely Sensed Data for Kali River Basin(Springer Science and Business Media Deutschland GmbH, 2024) Sreejith, K.S.; Kumar, G.P.; Dwarakish, G.S.For the last two centuries, the Earth's land cover has undergone fast change, and all indications indicate that this trend will continue. This shift is being driven by economic development and population expansion. For the management of natural resources and the observation of environmental changes, land use and land cover (LULC) change has become a key element. Natural landscapes have undergone significant change as a result of anthropogenic activity, particularly in areas where population increase and climate change have a significant impact. To effectively manage the environment, especially water management, it is essential to understand how trends in land use and land cover (LULC) change. This study used remote sensing and geographic information systems (GIS) to examine changes in LULC patterns during a 20-year period in the Kali River Basin. LULC changes were mapped using multitemporal Landsat series satellite images. Landsat-5 image of 2002 and Landsat-8 image of 2022 were obtained for the purpose of the study. Maximum likely hood algorithm was used to detect areas of change with supervised classification, performed in ERDAS Imagine 2014 and took minimum of 100 samples and maximum of 250 samples of ground truth data for each class. The supervised classification produced good results with overall accuracies of 91.58% and 89.47% for the 2002 and 2022, respectively. The results of the change detection analysis conducted between 2002 and 2022 demonstrate the extent of LULC changes that have taken place in various LULC classes, while the majority of the river basin's grassland, barren land, and open forest have undergone intensive conversion to cultivated land and built-up areas. These modifications show that population growth was responsible for the rise in cultivated land and built-up areas. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.