D
D. Ramakrishnan
Researcher at Indian Institute of Technology Bombay
Publications - 24
Citations - 842
D. Ramakrishnan is an academic researcher from Indian Institute of Technology Bombay. The author has contributed to research in topics: Landslide & Watershed management. The author has an hindex of 13, co-authored 23 publications receiving 695 citations. Previous affiliations of D. Ramakrishnan include Indian Institutes of Technology & Maharaja Sayajirao University of Baroda.
Papers
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SCS-CN and GIS-based approach for identifying potential water harvesting sites in the Kali Watershed, Mahi River Basin, India
TL;DR: In this article, the authors proposed to construct check dams, percolation ponds, farm pond, well and subsurface dyke to augment water resources in the Mahi River Watershed.
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Integrated water resource development plan for sustainable management of Mayurakshi watershed, India using remote sensing and GIS.
TL;DR: In this study, area and locale specific watershed development plans were generated for Mayurakshi watershed, India using remote sensing and GIS techniques and using the overlay and decision tree concepts water resource development plan was generated.
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Assessment of surface and sub-surface waterlogged areas in irrigation command areas of Bihar state using remote sensing and GIS
V. M. Chowdary,R. Vinu Chandran,Neeti Neeti,R.V. Bothale,Y. K. Srivastava,P. M. Ingle,D. Ramakrishnan,Deep Dutta,A. Jeyaram,J. R. Sharma,Ravindra Swaroop Singh +10 more
TL;DR: In this article, the authors used Indian Remote Sensing (IRS-1D) and Geographical Information Systems (GIS) data acquired during the period 2002�2003 to delineate surface waterlogged areas in all 132 irrigation command areas of the Bihar State, India.
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Stabilization of fuel oil contaminated soil—A case study
TL;DR: In this paper, the fuel oil contaminated soil samples exhibit drastic changes in their geotechnical parameters, such as decrease in maximum dry density (−4), cohesion (−66), angle of internal friction (−23%), and unconfined compressive strength (−35%) and increase in liquid limit (+11%).
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Hyperspectral Remote Sensing and Geological Applications
D. Ramakrishnan,Rishikesh Bharti +1 more
TL;DR: In this article, the potential of hyperspectral remote sensing (HRS) technique in various geological applications ranging from lithological mapping to exploration of economic minerals of lesser crustal abundance is reviewed.