Antara Dasgupta

Associate Student
About
Antara Dasgupta

I completed my Bachelor’s in Chemistry from Delhi University, New Delhi, in 2011. During this time I volunteered extensively with Greenpeace which peaked my interest in environmental science. It was during my master’s degree in natural resource management at Doon University, Dehradun that I studied remote sensing for the first time. I received the MYCOE-SERVIR Himalaya Fellowship offered by NASA in association with the American Association of Geographers, ESRI and ICIMOD, to complete my thesis which was primarily focused on the study of climate change resilience in mountain communities using GIS. I then did another master’s in remote sensing and GIS as a part of a joint education programme between ITC, University of Twente, Netherlands and the Indian Institute of Remote Sensing, ISRO. My master’s research work was assessing 2D flood model performance using SAR-derived flood maps.

My PhD study is being undertaken under IITB- Monash research program which endeavours to encourage academic collaboration between the scientific community of India and Australia. This program requires the students to spend a minimum of one year of their Ph. D. at Monash.  The time spent at Monash, which would be in the second half of the PhD (2017), will focus on the data assimilation and performance analysis.

Student project

Climate change has resulted in an observable increase in the number of extreme weather events leading to widespread flooding. In this scenario, it is critical to efficiently utilise the growing volume of hydrological data available through satellite remote sensing and crowd-sourcing to improve flood forecasting skill. As the number of diverse data sources grow, more advanced techniques need to be employed in order to quantify and reduce the associated uncertainties.
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Resources credited

Type Released Title Download Key Topics
Presentation-Slideshow 24 Oct 2016 Improving flood forecast skill using remote sensing data PDF icon Save (3.16 MB) flood, forecasting, remote sensing

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