M.Sc. in Applied Geology,
M.Tech. in Geological Remote Sensing and Geoinformatics (Bharathidasan University),
Ph.D. in Geology (Periyar University, Salem)
Dr. V. Ramesh, M.Tech., Ph.D.
Assistant Professor,
Centre for Geoinformatics,
Jamsetji Tata School of Disaster Studies (JTSDS),
Tata Institute of Social Sciences (TISS),
Malti and Jal A. D. Naoroji Campus (Annex)
Post Box No: 8313, Deonar Farm Road, Deonar,
Mumbai - 400088, Maharashtra, India.
Dr Ramesh Veerappan is an Assistant Professor at the Centre for Geoinformatics, Jamsetji Tata School of Disaster Studies at the Tata Institute of Social Sciences (TISS), Mumbai. Dr. Ramesh Veerappan received the M.Tech. degree in Geological Remote Sensing and Geoinformatics from the Bharathidasan University and the Ph.D. degree in Geology from the Periyar University, Salem, India. His main research interests are Quantitative Risk Assessment, Hazard/Susceptibility Zonation Mapping using machine and deep learning models, Landslides and Slope Stability Assessment, and Spatial Data Science in Social Science Research (Mapping and Predictive Analyses).
Membership in Professional Bodies/Societies
Life Member - Indian Society of Geomatics (ISG), Ahmedabad
Research Interests
Tiwari H, Veerappan R, Tiwari H, Thomas O (2022) Physical vulnerability evaluation of buildings exposed to Balia Nala landslide using indicator-based approach and GIS: a case study of Nainital town, Uttarakhand, India. Arab J Geosci, Springer. 15, 797. Impact Factor: 1.827, Indexed in SCIE and Scopus.https://link.springer.com/article/10.1007/s12517-022-09742-8
Saranaathan S.E, Mani S, Ramesh V, Prasanna Venkatesh S (2021) Landslide Susceptibility Zonation Mapping Using Bivariate Statistical Frequency Ratio method and GIS: A Case Study in Part of SH 37 Ghat Road, Nadugani, Panthalur Taluk, The Nilgiris. Journal of the Indian Society of Remote Sensing, Springer. 49(2):275-291, Impact Factor: 2.5, Indexed in SCIE and Scopus. https://link.springer.com/article/10.1007/s12524-020-01207-3
Veerappan Ramesh, Sayed Sumaira Iqbal (2020) Urban flood susceptibility zonation mapping using evidential belief function, frequency ratio and fuzzy gamma operator models in GIS: a case study of Greater Mumbai, Maharashtra, India. Geocarto International, Taylor & Francis. Impact Factor: 3.8, Indexed in SCIE and Scopus. https://doi.org/10.1080/10106049.2020.1730448
Somnath Bera, Balamurugan Guru, Ramesh V (2018) Evaluation of landslide susceptibility models: a comparative study on the part of Western Ghat Region, India. Remote Sensing Applications: Society and Environment, Elsevier. 13:39-52, Impact Factor: 4.7, Indexed in Scopus. https://www.sciencedirect.com/science/article/pii/S2352938517303099
Anbazhagan S, Ramesh V, Saranaathan S. E (2017) Cut Slope Stability Assessment along Ghat Road Section of Kolli hills, India. Natural Hazards, Springer. 86(3):1081-1104, Impact Factor: 3.7, Indexed in SCIE and Scopus. http://link.springer.com/article/10.1007/s11069-016-2731-0
Ramesh V, Mani S, Baskar M, Kavitha G, Anbazhagan S (2017) - Landslide Hazard Zonation Mapping and Cut Slope Stability Analyses along Yercaud Ghat Road (Kuppanur – Yercaud) Section, Tamil Nadu, India. International Journal of Geoengineering, Springer. 8(1):2, Impact Factor: 1.6, Indexed in Scopus. http://link.springer.com/article/10.1186/s40703-017-0039-x
Balamurugan Guru, Ramesh Veerappan, Francis Sangma, Somnath Bera (2017) Comparison of probabilistic and expert-based models in landslide susceptibility zonation mapping in part of Nilgiri District, Tamil Nadu, India. Spatial Information Research, Springer. 25(6): 757-768, Impact Factor: 2.4, Indexed in Google Scholar. https://link.springer.com/article/10.1007/s41324-017-0143-1
Hinotoli V Sema, Balamurugan Guru, Ramesh Veerappan (2017) Fuzzy gamma operator model for preparing landslide susceptibility zonation mapping in parts of Kohima town, Nagaland, India. Modelling Earth Systems and Environment, Springer. 3(2):499-514, Impact Factor: 3.0, Indexed in Scopus. https://link.springer.com/article/10.1007/s40808-017-0317-9
Guru Balamurugan, Veerappan Ramesh, Touthang Mangminlen (2016) Landslide Susceptibility zonation mapping using frequency ratio and fuzzy gamma operator models in part of NH-39, Manipur, India. Natural Hazards, Springer. 84(01):465-488. Impact Factor: 3.7, Indexed in SCIE and Scopus. http://link.springer.com/article/10.1007/s11069-016-2434-6
Ramesh V, Anbazhagan S. (2015) Landslide Susceptibility Mapping along Kolli Hills Ghat Road section (India) using Frequency Ratio, Relative Effect and Fuzzy Logic models. Environmental Earth Sciences, Springer. 73(12):8009-8021. Impact Factor: 2.8, Indexed in SCIE and Scopus. http://link.springer.com/article/10.1007/s12665-014-3954-6
Anbazhagan S, Indhirajith R, Uma Maheswaran S, Jothibasu A, Venkatesan A, Ramesh V (2015) Electrical Resistivity Survey and Shallow Subsurface Geological Study in Hard Rock Terrain, Southern India. Journal of the Geological Society of India, Springer. 85(3):305-312. Impact Factor: 1.3, Indexed in SCIE and Scopus. http://link.springer.com/article/10.1007/s12594-015-0219-2
Anbazhagan S and Ramesh V (2014) Landslide Hazard Zonation mapping in Ghat road section of Kolli hills, India. Journal of Mountain Science, Springer. 11(5):1308-1325. DOI:10.1007/s11629-012-2618-9 – Impact Factor: 2.5, Indexed in SCIE and Scopus. http://link.springer.com/article/10.1007/s11629-012-2618-9
Research Papers (Chapters) In Edited Books & Proceedings
Nongmaithem Bragy Singh, Ramesh Veerappan (2021) GIS-based Landslide Susceptibility Zonation Mapping using Fuzzy Gamma Operator model in part of Trans-Asian Highway (Mao-Kangpokpi), Manipur, India. In: Pal, I et al. (Eds) Disaster Resilience and Sustainability. Publisher: Elsevier, pp. 171-196 (DOI: 978-0-323-85195-4.00027-5 and ISBN: 9780323851954). https://doi.org/10.1016/B978-0-323-85195-4.00027-5
Anbazhagan S, Ramesh V, Kamaraj S, Arivazhagan S (2018) “Weathering and Slope Stability Studies along Ghat Road Section of Kolli Hills, Tamil Nadu, India”, National Workshop on Landslides, held during 23-25th May 2018 at Department of Geology, L.S.M. Government Post Graduate College, Pithoragarh, Uttarakhand. (Full Paper Accepted)
Ramesh Veerappan, Ankur Negi, Anbazhagan Siddan (2017) Landslide Susceptibility Mapping and Comparison Using Frequency Ratio and Analytical Hierarchy Process in Part of NH-58, Uttarakhand, India”, In: Mikos M et al. (eds) Advancing Culture of Living with Landslides - Volume 2 Advances in Landslide Science. Publisher: Springer International Publishing, pp. 1081-1091 (DOI: 10.1007/978-3-319-53498-5_123 and ISBN: 978-3-319-53498-5) https://link.springer.com/chapter/10.1007/978-3-319-53498-5_123
Ramesh V, Anbazhagan S, Nikita N (2017) "Landslide susceptibility mapping using Bivariate statistics and Analytical Hierarchy Process in Kolli Hills Ghat Road Section, India", International Conference on Urban Geoinformatics, held during 22-23rd, February 2017 at TERI University, New Delhi, India. Digital Proceedings Paper ID: ICUG-X284.
Ramesh V, Thanchuipou Phaomei, Baskar M, Anbazhagan S (2016) “Application of Fuzzy Operators in Landslide Susceptibility mapping along Yercaud ghat road section, Tamil Nadu, India”, In: N. Janardhana Raju (ed.) Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment – Challenges, Processes, and Strategies. Publisher: Springer International Publishing. Copyright: Capital Publishing Company. pp. 545–553. (DOI: 10.1007/978-3-319-18663-4_82 and ISBN: 978-3-319-18663-4) http://link.springer.com/chapter/10.1007/978-3-319-18663-4_82
Anbazhagan S, Chatterjee A, Sethupathi AS, Guru Balamurugan and Ramesh V (2013) “Remote Sensing and GIS for Landslide Hazard Mapping – Case Study from Mumbai, India” In: R.A. Singh (ed.) Landslides and Environmental Degradation. Gyanodaya Prakashan, Nainital, pp. 89-106. (ISBN: 81-85097-90-9)
Anbazhagan S, Palpandian P, Jothibasu A, Uma Maheswaran S, Venkatesan A, Ramesh V (2013) “GIS Spatial Analysis for artificial research – A Case Study from Drought Prone Area” In: Anbazhagan S (ed.) Water Management: Historical Perspective and Development. Vasagan Publication, Salem, pp. 107-133. (ISBN: 978-93-83188-01-7)
RESEARCH / TRAINING GRANTS RECEIVED AS PI AND CO-PI
Funding Agency |
Project / Training Conducted | Period | Grant Received |
U.S. Department of Space |
Developing and Improving Disaster Management Studies Course in India. |
2019-2020 |
USD 7500 Project PI: Dr. Thomas Oommen (MTU) Project Leads (TISS) Dr. Ramesh Veerappan Dr. Guru Balamurugan |
NRDMS, DST, Govt. of India |
21days Training Programme on "Geospatial Technology" Emphasis on Basic Concepts and Applications" |
2018-2020 (Completed) |
Rs. 10,00,000 Dr. Guru Balamurugan Dr. V Ramesh |
Research Council, TISS |
Drought Assessment using remote sensing and Geographical Information Systems (GIS) techniques in part of Aurangabad Division (Marathwada Region), Maharashtra, India. |
06th April 2017-5th April 2019 (Completed) |
Rs. 3,00,000 PI: Dr. V. Ramesh |
NRDMS, DST, Govt. of India |
21 Days Training Programme on "Geospatial Technology" Emphasis on Planning and Policy Development |
2016-2017 (Completed) |
Rs. 10,00,000 Dr. Guru Balamurugan Prof. Dr. Anbazhagan Dr. V. Ramesh |
DISASTER RESPONSE AND FIELD ACTION PROJECTS
Kerala Flood Response 2018 – TISS along with District Collectrate of Alappuzha District and Kerala State Disaster Management Autority (KSDMA), involved in extensive field work to generate the geospatial database of different features like culverts/bridges, gruel centres, animal camps, and public distribution system offices using GIS technique in Kuttanad Taluk which is highly flood affected region in Azhapuzha district.
M.A./M.Sc. in Disaster Management (3 courses)
MDM 506 - Concepts and Advances in Remote Sensing and GIS
MDM 35 - Quantitative Approaches in Disaster and Climate Risk Assessment
Coordinator
MDM 533 - Fieldwork
MDM 534 - Field Practicum
MDM 635 - Internship
M.Phil./Ph.D. (1 Course)
Advanced Geospatial Technologies and its applications in Social Studies
IFRC-TISS Programme (1 Course)
Module 5: Geospatial Technologies for Disaster Risk Mapping and Management