Browsing by Author "K.N. Prudhvi Raju"

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A note on boundaries in atlas maps
(Geological Society of India, 2014) K.N. Prudhvi Raju; Manish Kumar Pandey; Shraban Sarkar
[No abstract available]
Morphology of pockmarks along the western continental margin of India: Employing multibeam bathymetry and backscatter data
(2010) Sumanta Dandapath; Bishwajit Chakraborty; Siddaiah M. Karisiddaiah; Andrew Menezes; Govind Ranade; William Fernandes; Davidas K. Naik; K.N. Prudhvi Raju
This study addresses the morphology of pockmarks along the western continental margin of India using multibeam bathymetry and backscatter data. Here, for the first time we have utilized the application of ArcGIS (Geographical Information System) for understanding the morphology of pockmarks from the western continental margin of India. The pockmarks observed in water depths of 145-330 m are circular, elliptical or elongated in plan-view, with an average length and width of 157 (±72) m and 83 (±19) m respectively. The average pockmark relief and perimeter are 1.9 (±0.9) m and 412 (±181) m, respectively. The pockmarks have average areas and volumes of 10 759 m2 and 15 315 m3 respectively. Spatial separation that coincides with 210 m isobath divides the pockmarks into two groups with differing distributions and morphologies. These pockmarks originated from seepages of biogenic or thermogenic gas or from pore fluids from deeper sources, migrated vertically along the faults. Besides a possible structural control, the pockmark morphologies are also affected by bottom currents and/or by submarine slumping. The average acoustic backscatter strength from pockmark centre is higher (-35 dB) than the average backscatter of the total area (-40 dB), which suggests their possible linkage to the precipitation of diagenitic minerals from biodegradation of seepage material. © 2010 Elsevier Ltd.
Need for pan-India compatibility of geospatial databases in terms of map projections and parameters
(Taylor and Francis Ltd., 2023) Mallikarjun Mishra; K.N. Prudhvi Raju; Prem Chandra Pandey
The present study is taken up to record variations in the extent of area of two polygons—(i) a ground measured area of a university campus, (ii) enclosing the Ganga basin—and to examine the changes in both shape and area of another (iii) polygon covering India under different map projections with various parameters. The exercise brought forth interesting results. Depending on final ranks worked out based on minimum differences in extent of areas and shape distortion in the case of India, it is suggested to adopt either (i) Lambert Conformal Conical (LCC) projection with Everest India-Nepal datum, First Standard Parallel (FSP) 24.50, Second Standard Parallel (SSP) 28.50, Latitude of Origin (LO) 16.253259, Central Meridian (CM) 80.8749 or (ii) LCC projection with WGS 84 datum, FSP 24.50, SSP 28.50, LO 16.253259, CM 80.8749 or (iii) Polyconic with Everest India-Nepal datum, CM 84.50, LO 13.00, for mapping both smaller areas on larger scales and larger areas on smaller scales. © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
On the usage of the term ‘Extra-Peninsular India’
(Institute of Indian Geographers, 2022) Sarfaraz Alam; Amiya K. Samal; K.N. Prudhvi Raju
The Indian subcontinent is characterized by highly complex and diverse physical features. Its geological structures and landforms are regionally coterminous, and hence many geologists, as well as geographers, have studied the geological and physiographic diversity of the Subcontinent on a regional basis. In the scheme of regionalization proposed by most of the geologists and some geographers, there is the use of the term ‘Extra-Peninsular India’ to mean the Himalayan Mountain Ranges. However, when used in a literal sense, this expression encompasses geological/physiographic units other than Peninsular India-i.e., the Himalayan Mountain Ranges as well as the Indo-Gangetic Plains. Thus, the mismatch between the general use of the expression ‘Extra-Peninsular India’ and its actual meaning creates confusion. After reviewing various classical and contemporary pieces of literature pertaining to the nomenclature of India’s geological/physiographic units, the paper discusses the appropriateness of this expression and advocates its replacement by separate terms–Himalaya Mountain Ranges and Indo-Gangetic Plains. The paper argues that this simple and direct expression not only eliminates the prevailing confusion but would also express its geological and physiographic identity more aptly. © 2022 Institute of Indian Geographers. All rights reserved.
The geospatial information regulation bill, 2016
(Economic and Political Weekly, 2016) K.N. Prudhvi Raju; Sarfaraz Alam
The draft of the Geospatial Information Regulation Bill, 2016, that makes it mandatory to take permission from the Security Vetting Authority before acquiring, disseminating, publishing or distributing any geospatial information of India, actually ends up tying the hands of academics and researchers in India.
Urban cadastral mapping using very high resolution remote sensing data
(2008) K.N. Prudhvi Raju; Sarvajeet Kumar; Kshitij Mohan; Manish Kumar Pandey
With growing urban expanses, one of the pre-requisites for effective governance is Urban Information Systems (UIS) with content down to individual properties (and individuals). The basic input i.e., a map, in UIS should show individual property boundaries showing the plan outline of all structures existing within, at a scale of 1:1000 and larger with sub-metre to centimeters planimetric and geometric accuracy. With very high resolution remote sensing data of the order of 1m available in hand, it is possible to prepare maps with high resolution spatial content. The present exercise demonstrates a method of preparing a geometrically and planimetrically accurate urban cadastral map on very large scale for a small area of about 5 sq km. IKONOS merged data with 1m resolution is used for the purpose. Mapping was done in conjunction with on-site measurements and sketches. Guides are used to maintain shape symmetry and accuracy of buildings and other features. Working out cost of mapping per unit area is another objective in the present exercise. For want of fully or semi-automatic methods of information extraction from very high resolution remote sensing data, it is imperative that mapping should be carried out in conjunction with some on-site measurements wherever necessary. © Indian Society of Remote Sensing 2008.