Quantitative Estimation of Coastal Changes Along Selected Locations of Karnataka, India: A GIS and Remote Sensing Approach

Vinayaraj, Poliyapram; Glejin, Johnson; Dora, G. Udhaba; Philip, C. Sajiv; Kumar, V. Sanil; Gowthaman, R.

doi:10.4236/ijg.2011.24041

Cited by 31 publications

(7 citation statements)

References 5 publications

(6 reference statements)

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“…Soil erosion is one of the important land degradation problems in agricultural land and consider as critical environmental hazard in modern time, worldwide (Lu et al, 2003;Kim et al, 2005). It is one of the most serious problems as it removes plant essential nutrients from the top soil and increases natural level of sedimentation in rivers and reservoirs which in turn reduce their storage capacity and water availability to plants (Devatha et al, 2015).The coastal systems have different kind of ecological problems due to various anthropogenic and natural interventions and regular prone to different kinds of erosion, sedimentation, floods and cyclones (Vinayaraj et al, 2011;Monalisha and Panda, 2018). Coastal ecosystems provide livelihood to around 60% of world's population.…”

Section: Introductionmentioning

confidence: 99%

Estimation of soil loss by USLE Model using Remote Sensing and GIS Techniques - A Case study of Coastal Odisha, India

Srinivasan

Singh

Nayak

et al. 2019

Eurasian Journal of Soil Science (Ejss)

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Globally, Soil erosion is the major land degradation problem, which impacts seriously on economic and environmental status. Geospatial techniques support and provided quantitative approach to estimate soil erosion in different conditions. In the present study, Revised Universal Soil Loss Equation (RUSLE) integrated with GIS has been used to estimate soil loss in the part of coastal Odisha system. The study area, Ganjam block have undulating topography covering 0-35% slopes. The quantitative soil loss was estimated and classified into different classes and soil erosion map was generated. The soil erosion map is classified into seven classes from very slight (<5 t ha-1 yr-1) to extremely severe (>80 t ha-1 yr-1). The results indicate that 90.9% (22330 ha) of the study area falls in very low erosion category, which may be due to level topography and regular vegetation cover. The other erosion classes such as moderate, high and very high erosion occurred in the range of 2.12%, 2.23% and 1.49 %, respectively. The high soil erosion risk is spatially situated in the foothills and upper steep slope of the area. The results can certainly aid in implementation of soil management and conservation practices to reduce the soil erosion in the coastal Odisha regions of Eastern India.

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Section: Introductionmentioning

confidence: 99%

Estimation of soil loss by USLE Model using Remote Sensing and GIS Techniques - A Case study of Coastal Odisha, India

Srinivasan

Singh

Nayak

et al. 2019

Eurasian Journal of Soil Science (Ejss)

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“…The abrasion condition in this regency is also exacerbated by the development of shrimp ponds that affect the vulnerability of the land around the coast. Coastal areas that experience abrasion for an extended period will cause disruption of local sediment dynamics [5] caused by nature and humans [6]. Abrasion, a global problem [7,8] is caused by high-intensity waves and currents [9].…”

Section: Introductionmentioning

confidence: 99%

“…Figure5 The shoreline of Central Bengkulu changes as one progresses along the coast. Gedang Lake is in Zone I. Sungai Suci and Wahana Surya coastlines are in Zone II.…”

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confidence: 99%

The Combination of Hvsr and Masw Methods with Landsat 8 Imagery to Assess the Changing Shoreline along the Coastal Area of Central Bengkulu

Farid,

Hadi,

Refrizon

et al. 2024

Trends Sci

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The Central Bengkulu Regency possesses a coastline measuring 21.8 km, situated in direct proximity to the Indian Ocean. The heightened wave and ocean current dynamics possess the capacity to induce detrimental effects in the form of coastal abrasion along the coastline. This study conducted an examination of the rate of shoreline changes resulting from coastal abrasion in Central Bengkulu Regency, Bengkulu, Indonesia. Horizontal-to-vertical spectral ratio (HVSR) analysis, multichannel analysis of surface waves (MASW), and Landsat-8 remote sensing were all used in the current investigation. The project gets started with conducting field investigations and measurements of geophysical techniques, including the collection of Landsat-8 satellite imagery spanning the period from 1990 to 2020. Additionally, an examination was conducted on the rate at which the shoreline undergoes changes in velocity. In order to determine the increase in change that occurs along coastlines over a period of several decades, a study was carried out during which Landsat-8 satellite images were analyzed. This study investigates the application of the HVSR technique for assessing the seismic vulnerability of the ground and, additionally, the MASW technique for measuring the shear wave velocity of the coastline’s soil. Both of these methodologies are compared and contrasted with one another in this research. The findings indicated that the mean pace of coastline change in Central Bengkulu Regency was 1.5 m/yr, with the maximum velocity recorded at 4.1 m/yr. This high velocity of shoreline change is correlated with the Vs30 value of MASW measurement and Kg of HVSR measurement, where the subsurface soil structure along the coast of Central Bengkulu Regency from Vs30 measurement shows that it is dominated by stiff soil structure that is susceptible to erosion. Outcomes from the study can inform decision-making processes about safeguards and preventative measures to prevent further coastal degradation. HIGHLIGHTS In this paper, we present a framework using application passive and active seismic method with Landsat 8 for knowing the changing of shoreline coastal area in Central Bengkulu Indonesia This study demonstrated that the high velocity of the shifting shoreline is correlated with Vs30 and Kg values The subsurface soil structure is predominantly composed of stiff soil, and the changing shoreline starts at 1.5 mm/yr, which makes the coast of Central Bengkulu vulnerable to erosion GRAPHICAL ABSTRACT

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“…Satellite Remote Sensing, with its unique capability of providing repetitive, dynamic and global coverage at high temporal and spatial resolution, is very useful for the analysis of changes taking place in the coastal areas [5]. The major advantage of GIS is that it allows identifying the spatial relationships between features and temporal changes within an area over time [6]. Experience has shown that many earth surface features of interest can be identified, mapped and studied on the basis of their spectral characteristics, although some features of interest may not be spectrally separable.…”

Section: Introductionmentioning

confidence: 99%

Temporal change assessment of agricultural land by Satellite Remote Sensing (SRS) technique

Mahar¹,

Ahmed²,

Iqbal³

2013

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Quantitative Estimation of Coastal Changes Along Selected Locations of Karnataka, India: A GIS and Remote Sensing Approach

Cited by 31 publications

References 5 publications

Estimation of soil loss by USLE Model using Remote Sensing and GIS Techniques - A Case study of Coastal Odisha, India

Estimation of soil loss by USLE Model using Remote Sensing and GIS Techniques - A Case study of Coastal Odisha, India

The Combination of Hvsr and Masw Methods with Landsat 8 Imagery to Assess the Changing Shoreline along the Coastal Area of Central Bengkulu

Temporal change assessment of agricultural land by Satellite Remote Sensing (SRS) technique

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