Structure and its impact in Uthangarai and Thirthamalai region, Tamil Nadu, India using remote sensing technique

Anbazhagan, S.; Saranathan, E.

doi:10.1007/bf02995723

Cited by 7 publications

(4 citation statements)

References 10 publications

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“…7) were prepared from the drainage map. According to NRSC (Anon [4]) classification, a land use map (Fig. 8) was generated using satellite imagery.…”

Section: Methodsmentioning

confidence: 99%

“…Most of the landsides in Nilgiris occur in road-cut slopes, habitat areas and agricultural areas, causing damage to humans and the infrastructure. To study landslide susceptibility zonation maps, progress has been made in estimating spatial differences in the instability of the area [4]. Landslide activities depend on two major factors [5].…”

Section: Introductionmentioning

confidence: 99%

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Terrain Factors Induced Slope Instability in CNG 37 – Ghat section, Panthalur, The Nilgiris

Mani,

Prasanna Venkatesh,

Saranaathan

2024

E3S Web Conf.

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— Landslides are short-lived phenomena but can cause extraordinary changes in the landscape, destroying life and property. Mitigation and management of natural disasters are important issues. Recognising this, the United Nations in the year 2004 made gout “Learning from today’s disaster for tomorrow’s hazards”(UNISDR website). The Nadugani Hill is situated in SE of Panthalur taluk, Nilgiris District. The ghat section is 6.5 km in length. The region has moderate climatic conditions. The average rainfall in this ghat section is 3500mm. In this ghat section, two major activities, like tea plantation and heavy truck movement, lead to slope instability during heavy monsoon season. The study mainly aimed to use terrain factors and identify land susceptibility zonation. In this context, a detailed investigation was carried out using geomorphology, parent rock weathering, structural mapping, runoff and anthropogenic activities. The ghat section is covered by a thick Reserve Forest, a tea plantation and a smaller area enclosed by settlement. Hornblende biotitic gneiss and patches of charnockite in some places cover the study area. The gneissic rocks are highly fissile in nature. NE - SW fault controls the drainage systems, contributing to landslides. The structural data delineated from IRS-RS2, L-IV data and the lineaments are oriented in NE - SW. Morphology is one of the prime factors that cause which is landslides. Satellite imageries identify structural and fracture valleys in this study area. The thematic maps were converted into a digital format using ARC Map (10.2v) software. GIS-based Decision Support System provides advanced models of a system to identify land susceptibility zonation. Based on the analysis, the study area has been categorized into low, moderate, high and very high classes.

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“…7) were prepared from the drainage map. According to NRSC (Anon [4]) classification, a land use map (Fig. 8) was generated using satellite imagery.…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Terrain Factors Induced Slope Instability in CNG 37 – Ghat section, Panthalur, The Nilgiris

Mani,

Prasanna Venkatesh,

Saranaathan

2024

E3S Web Conf.

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“…Lineaments are the structural features which describe the zone/plane of weakness, fractures and faults along which landslide susceptibility is higher. The lineaments are parallel to the Eastern ghat Orogeny (Anbazhagan and Saranathan 2001). The geology and structural features are shown in Fig.…”

Section: Geology and Structurementioning

confidence: 98%

Macro Landslide Hazard Zonation Mapping - Case Study from Bodi – Bodimettu Ghats Section, Theni District, Tamil Nadu - India

Kannan

Saranathan

Anbalagan

2011

J Indian Soc Remote Sens

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Landslide is a common natural hazard that usually occurs in mountainous areas. Rapid urban development and high traffic intensity movements have been hampered to a great extent by phenomenon of landslides. In Ghat section, vertical cuttings and steep slopes are induced slope failures. An assessment of landslide hazards is therefore a prerequisite for sustainable development of the hilly region. In the present study, Macro Landslide Hazard Zonation was carried out in the Bodi -Bodimettu ghats section, Western Ghats, Theni district. The slope spreads over an area of about 10.09 sq km encompassing Puliuttu Ar. sub-watershed. The study was made with help of different types of data including Survey of India topographic map, geology map, important inherent factors like lithology, structure, slope morphometry, relative relief, land use/land cover and hydrogeological conditions using Bureau of Indian Standard (BSI 14496 (Part 2):1998) and related thematic maps. Based on the thematic layers, landslide hazard evaluation factor (LHEF) and total estimated hazard (TEHD) were calculated and the macro hazard zonation map was prepared. Landslide Hazard Zonation (LHZ) of the terrain shows that out of 17 facets, facets 1 to 5 and 8 falls under Moderate Hazard zone category and facets 6, 7 and 9 to 17 under the High Hazard zone category. The field study with further analysis for hazard concluded that about 68% of the total area falls in the high hazard zone.

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“…They attempted minimum noise fraction (MNF) and Spectral angle mapping (SAM) classi cation to differentiate the lithology. Anbazhagan and Saranathan (2001) have applied IRS-1C satellite data for the interpretation of the shear zone in part of the Ponniyar river basin, located near the Samalpatti-Sevathur complex. The digital image processing of Landsat-8 OLI satellite data was used for mapping different rock types in the Samalpatti-Sevathur complex.…”

Section: Introductionmentioning

confidence: 99%

Image Processing of Landsat-8 OLI Satellite Data for Mapping of Alkaline-Carbonatite Complex, Southern India

Ranjithkumar,

Anbazhagan,

Tamilarasan

2024

Remote Sens Earth Syst Sci

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The alkaline-carbonatite igneous intrusion occupies a very less aerial extent on the earth's surface; however, it is an important source rock for REE, LILE and radioactive elements. The origin of the alkaline-carbonatite suite is always related to tectonic settings such as continental drift and suture zone. In this context, the Samalpatti and Sevathur alkaline-carbonatite complex is an area of interest among various geoscientists. The moderate resolution Landsat-8 OLI satellite data is digitally processed using ENVI 5.3 image processing software for the interpretation of various lithology in the terrain. The Samalpatti-Sevathur complex is covered by different rock types including syenite, pyroxenites, dunite, carbonatite, and epidote hornblende gneiss. The carbonatites are emplaced as elongated bodies, dykes and scattered nodules in ultrama c formation. The mapping of ultrama c formations is important, since it contains carbonatite emplacement in the complex. The seven band OLI data covered under the visible, near infrared, and shortwave infrared spectrum were processed for the generation of colour composite images, band ratios, principle component analysis (PCA) images, and support vector machine (SVM) classi ed output. The digitally processed satellite images are useful in the interpretation of different rock types, particularly the ultrama c formation. Out of various outputs, the FCC, the composite image B652, colour composite images from ratio output, PCA composite images in RGB lters, and SVM classi ed image are suitable for interpretation of different lithology in the terrain.

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Structure and its impact in Uthangarai and Thirthamalai region, Tamil Nadu, India using remote sensing technique

Cited by 7 publications

References 10 publications

Terrain Factors Induced Slope Instability in CNG 37 – Ghat section, Panthalur, The Nilgiris

Terrain Factors Induced Slope Instability in CNG 37 – Ghat section, Panthalur, The Nilgiris

Macro Landslide Hazard Zonation Mapping - Case Study from Bodi – Bodimettu Ghats Section, Theni District, Tamil Nadu - India

Image Processing of Landsat-8 OLI Satellite Data for Mapping of Alkaline-Carbonatite Complex, Southern India

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