Prof. Vinay S P Sinha is HoD and Professor in the Department of Natural Resources at TERI School of Advanced Studies (TERI SAS), New Delhi, India. He received his Ph.D. in Urban and Regional Planning domain from Banasthali University, Rajasthan. He did his M.Tech in Remote Sensing and Post graduation in Geography. He has over 15 years of research, teaching and consultancy experience in the areas of Geoinformatics, Water Resource Planning, Groundwater Resource Modeling and Natural Resource Assessment and Management. Prof. Sinha has extensively traveled most of the states in India and is well versed with geology, geomorphology and physiography including socio-economic configuration.

At TERI SAS, he is teaching courses related to Geoinformatics, Spatial modeling and Geoinformatics for Water Resources and strengthening application of Remote Sensing & Spatial modeling in various disciplines. He is also Adjunct Research at TERI and is advising activities related to applications of Geospatial Modelling, Water Resources and allied technologies.

Currently, he is supervising doctoral research related to Assessing influence of climate change on water availability and distribution on vulnerable communities in Central Himalaya; Water Accounting Framework for Eastern Himalaya in context to Climate Change; Agricultural land dynamics in SAARC Nations: relevant to food security in climate change scenarios and Storm Surge Assessments of Warm Climate Scenario over West Bengal.

His research projects are mostly formulated over the Himalayan region and link with fragile ecosystem of Himalayan community and Policy formulation and mitigation planning due to Extreme weather condition.

Publications:
 

• Singh, R. K., Sinha, V. S., Joshi, P. and Kumar, M., 2020. Mapping of agriculture productivity variability for the SAARC nations in response to climate change scenario for the year 2050. In P. Kumar, H. Sajjad, B. S. Chaudhary, M. Rani, and J.S Rawat, Challenges and Future Directions in Remote Sensing and GIScience. Netherland: Springer Nature. https://doi.org/10.1007/978-3-030-55092-9_14
• Singh, P., Sinha, V. S. P., Vijhani, A., & Pahuja, N. (2018). Vulnerability assessment of urban road network from urban flood. International Journal of Disaster Risk Reduction, 28, 237–250. https://doi.org/10.1016/j.ijdrr.2018.03.017
• Pommier, M., Fagerli, H., Gauss, M., Simpson, D., Sharma, S., Sinha, V., Ghude, S. D., Landgren, O., Nyiri, A., Wind, P. (2018). Impact of regional climate change and future emission scenarios on surface O3 and PM2.5 over India. Atmospheric Chemistry and Physics, 18(1), 103–127. https://doi.org/10.5194/acp-18-103-2018
• Sam, L., Bhardwaj, A., Sinha, V. S. P., Joshi, P. K., & Kumar, R. (2016). Use of Geospatial Tools to Prioritize Zones of Hydro-Energy Potential in Glaciated Himalayan Terrain. Journal of the Indian Society of Remote Sensing, 44(3), 409-420. https://doi.org/10.1007/s12524-015-0520-y
• Vaish, J., Sharma, A. K., & Sinha, V. S. P. (2014). Remote sensing and GIS based weighted model for assessing health of glaciers in Ganga Basin, India. International Journal of Applied Engineering Research, 9(2 SPEC.ISS.), 171–176.
• Joshi, P. K., Rawat, A., Narula, S., & Sinha, V. (2012). Assessing impact of climate change on forest cover type shifts in Western Himalayan Eco-region. Journal of Forestry Research, 23(1), 75–80. https://link.springer.com/article/10.1007/s11676-012-0235-7
• Bhardwaj, A., Sam, C. L., Joshi, K. P., & Sinha, V. S. P. (2012). Developing a statistical dengue risk prediction model for the state of Delhi based on various environmental variables. International Journal of Geoinformatics, 8(3), 45-52. http://creativecity-j.gscc.osaka-cu.ac.jp/IJG/article/view/454/383
• Hossain, J., Sinha, V., & Kishore, V. V. N. (2011). A GIS based assessment of potential for windfarms in India. Renewable Energy, 36(12), 3257–3267. https://doi.org/10.1016/j.renene.2011.04.017
• Joshi, P. K., Bairwa, B. M., Sharma, R., & Sinha, V. S. P. (2011). Assessing urbanization patterns over India using temporal DMSP-OLS night-time satellite data. Current Science, 100(10), 1479-1484. https://www.currentscience.ac.in/Volumes/100/10/1479.pdf

Peer-Reviewed paper:
 

• Singh, R.K., Sinha, V.S.P, Joshi, P.K. and Kumar, M., 2020. A Multinomial logistic model-based land use and land cover classification for the South Asian Association for Regional Cooperation nations using Moderate Resolution Imaging Spectroradiometer product. Environmental Development and Sustainability. https://doi.org/10.1007/s10668-020-00864-1
• Singh, R.K., Sinha, V.S.P, Joshi, P.K. and Kumar, M., 2020. A Multinomial logistic model-based land use and land cover classification for the South Asian Association for Regional Cooperation nations using Moderate Resolution Imaging Spectroradiometer product. Environmental Development and Sustainability. https://doi.org/10.1007/s10668-020-00864-1