Santonu Goswami
Areas of Interest & Expertise
- Climate Change
- Ecosystem Science
- Coastal Ecosystems
- Permafrost Landscapes
- Climate Modeling
- Remote Sensing & GIS
- AI/ML Applications in Climate and Environment
- Science Outreach
- Undergraduate Research
Biography
I joined the University in December 2021 after working as a Senior Scientist within the Earth and Climate Science Area of the National Remote Sensing Centre, ISRO, Hyderabad for five and a half years. Prior to this, I worked as a Research Scientist in the Centre for Urban Science and Progress at New York University, New York, USA and Postdoctoral Scientist within the Climate Change Institute at Oak Ridge National Laboratory in Oak Ridge, TN, USA.
My current work is focused upon a better understanding of the impacts of climate change across Indian vulnerable ecosystems to provide key insights to help policymaking and developing strategies for climate mitigation and adaptation.
My prior research involved studying long-term changes in the Indian coastal ecosystems using archival remote sensing data, Himalayan ecosystem change, degrading permafrost landscapes in the European and North American Arctic by conducting extensive fieldwork and modelling studies. My research also involved studying New York city neighbourhoods using a data-driven approach.
Some of my accomplishments over the years include:
- establishing and operating a large-scale ground-based remote sensing infrastructure at 71-degree northern latitude in Barrow, Alaska to study climate change impacts on tundra landscapes of the Arctic;
- mapping of climate change induced degradation of permafrost frozen landscapes in the northern hemisphere;
- establishing the first Indian permafrost field site in the Arctic in Svalbard at 79 degrees northern latitude as part of the Indian Arctic Programme.
I have always believed in team science and have worked as part of large multi-institutional interdisciplinary teams over the years to help build large-scale projects as well as start-up research labs.
In 2021, I founded an open-source community named ‘Community Climate Lab’ (www.cclindia.org). The platform provides undergraduate students a way to get voluntarily engaged and learn about different research methods and also to learn about climate change and think about actionable solutions.
Courses
Statistics and Society
How do numbers and data represent our world?
Environmental Science
Looking at the major environmental concerns of our times.
Certificate Courses
Ecological monitoring for climate change interventions
This four-day residential workshop will introduce participants to simple, low-cost techniques that can be used for local ecological monitoring and discuss how they can be used to inform climate change interventions at the local level.
Publications
Book Chapters
- Borgohain, A., Bordoloi, K., Sahariah, D., Goswami, S., Saikia, A., & and Bora, A. (2022). Assessment of Jiadhal River Basin Using Sedimentary Petrology and Geospatial Approach. In N.C. Jana & R.B.Singh (Eds.), Climate, Environment and Disaster in Developing Countries (pp. 457 — 473). Sage Publications.10.1007/978 – 981-16 – 6966-8_25
Journal Articles
- Vivek, G., Goswami, S., Samal, R.N., & Choudhury, S.B. (2018). Monitoring of Chilika lake mouth dynamics and quantifying rate of shoreline change using 30 m multi-temporal Landsat data. Data in Brief, 22, 595 — 600. https://doi.org/10.1016/j.dib.2018.12.082
- Olefeldt, D., Goswami, S., Grosse, G., Hayes, D., Hugelius, G., Kuhry, P., David McGuire, A. et al. (2016). Circumpolar distribution and carbon storage of thermokarst landscapes. Nature Communications, 7(1), 1 — 11. https://doi.org/10.1038/ncomms13043
- Xiaofeng, X., Goswami, S., Gulledge, J., Wullschleger, S.D., & Thornton, P.E. (2016). Interdisciplinary research in climate and energy sciences. Wiley Interdisciplinary Reviews: Energy and Environment, 5(1), 49 — 56. https://doi.org/10.1002/wene.180
- Wullschleger, S. D., Epstein, H.E., Box, E.O., Euskirchen, E.S., Goswami, S., Iversen, C.M., Kattge, J., Norby, R.J., Bodegom, P., & Xu, X. (2014). Plant functional types in Earth system models: Past experiences and future directions for application of dynamic vegetation models in high-latitude ecosystems. Annals of Botany, 114(1), 1 — 16. https://doi.org/10.1093/aob/mcu077