M.Sc. in Applied Geology,
M.Tech. in Geological Remote Sensing and Geoinformatics (Bharathidasan University),
Ph.D. in Geology (Periyar University, Salem)
ramesh.veerappan[at]tiss[dot]ac[dot]in
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 works as an Assistant Professor at the Centre for Geoinformatics, Jamsetji Tata School of Disaster Studies (JTSDS), Tata Institute of Social Sciences (TISS), Mumbai. He was awarded a Ph.D. in Geology from Periyar University, Salem, India, with research centred on landslide hazard zonation and slope stability analyses. He also holds an M.Tech. in Geological Remote Sensing and Geoinformatics from Bharathidasan University. He has done his master's research dissertation on "Landslide Hazard Zonation and Rainfall Threshold Modelling" at the Indian Institute of Remote Sensing (IIRS), ISRO, Dehradun.
He has led significant research projects, funded by the Independent Research Fund Denmark and the U.S. Mission India Public Diplomacy Grant Program. He has supervised numerous master's and Ph.D. dissertations on disaster risk and Vulnerability. With over a decade of academic experience, his research interests are Quantitative Disaster Risk Assessment, Hazard and Vulnerability Mapping, Landslide and Slope Stability Assessment, Application of Geospatial Artificial Intelligence (GeoAI) for Disaster Mapping and Management and Geospatial Analytics in Social Science Research.
His extensive publication record spans high-impact journals and authoritative book chapters on topics such as landslide susceptibility, flood hazard mapping, and environmental risk assessment. He also serves as a reviewer for many reputed journals in environmental science, geomatics, and disaster studies. He is a life member of the Indian Society of Geomatics.
Research Interests
Abhijeet, Nilesh, Ramesh Veerappan, Choi, and Frank (2025) Understanding exposure risk using soil testing and GIS around an abandoned asbestos mine. Annals of Global Health. 91(1): 2, 1–11. Impact Factor: 2.90; Indexed: Scopus and SSCI. DOI: https://doi.org/10.5334/aogh.4624. https://annalsofglobalhealth.org/articles/4624/files/67909e12a0727.pdf
Gouri Nair, Ramesh Veerappan, Mohammed Irshad (2024) Time-series analysis of COVID-19 stringency measures on the spatio-temporal dynamics of air pollution. Journal of Air Pollution and Health, published by Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER) in collaboration of Tehran University of Medical Sciences (TUMS) and Iranian Association of Environmental Health (IAEH). 9(2): 157-180. Indexed: Scopus. https://japh.tums.ac.ir/index.php/japh/article/view/624
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
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
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, 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
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 (4 courses)
Course 1 - Fundamentals of Geospatial Science and Technologies for Disaster Management (3 Credits)
Course 2 - Advanced Satellite Image Processing and Analyses (3 Credits)
Course 3 - Quantitative Approaches in Disaster and Climate Risk Assessment (3 Credits)
Course 4 - Geo-Intelligence in Preparedness and Early Warning Systems (3 Credits)
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