Helmholtz-Zentrum Deutsches Geoforschungszentrum

Shagun Garg

Wissenschaftliche Interessen:

  • Interferometric synthetic aperture radar (InSAR)
  • Hazard Vulnerability and Risk assessment
  • Surface deformation mapping
  • Flood Detection using SAR

Karriere:

Oct 2023 - onwards: Doctoral Researcher at University of Cambridge
Sep 2022 - Feb 2022: Researcher at FERN.Lab (Project: AgriSens)
June 2022 - Sep 2022: Researcher at GFZ Potsdam (Project : AI4Flood)
Oct 2021 - Oct 2023 : Masters in Research, University of Cambridge.
Oct 2020  - Oct 2021 :  Researcher at GFZ Potsdam, Germany
Mar 2020 - May 2020:  Guest Researcher at GFZ Potsdam, Germany
Sep 2019 - Jun 2020 :  DAAD Exchange Student at Leibniz University Hannover, Germany (funded by DAAD)
Aug 2018 - May 2019:  Teaching Assistant for Geodesy and Fluid Mechanics lab at IIT Bombay, India

Werdegang / Ausbildung:

  • PhD in Sustainability and Resilience in Future Infrastructure and Built Environment (FIBE2 CDT), Department of Engineering, University of Cambridge [2023 - 2026]
  • Master in Research (MRes) in Sustainability and Resilience in Future Infrastructure and Built Environment (FIBE2 CDT), Department of Engineering, University of Cambridge [2021-2023]
  • Master of Technology (M.Tech) in Remote Sensing from the  Indian Institute of Technology (IIT) Bombay, India [2018 - 2020].
    Thesis title:  Imaging Land Subsidence Induced by Groundwater Extraction over Delhi NCR, India using RADAR Interferometry 
  • Bachelor of Technology (B.Tech) in Civil Engineering from College of Technology, Pantnagar GBPUAT, [ 2014 - 2018].
    Thesis title:
    Design of the slab of the culvert using standard provisions by Indian Road Congress (IRC) 112:2011 and IRC 21:2000.

Projekte:

  1. Improving flood detection accuracy in arid/semi-arid regions using interferometric coherence (Helmholtz AI funded -A14Flood project) 
  2. Estimation of Land Subsidence over Delhi NCR, India using Persistent Scatter Interferometry
  3. Estimation of Groundwater Anomaly using Gravity Recovery and Climate Experiment (GRACE) and Global Land Data Assimilation System (GLDAS)
  4. Accuracy Assessment of TanDEM-X DEM, Cartosat DEM, SRTM using manually collected GPS points over IIT Mumbai region
  5. Urban Area Mapping Using Sentinel -1 Imagery over Delhi Region using SNAP
  6. Relationship between vegetation, built-up areas and surface temperature for Mumbai, India

Wissenschaftliche Gremien:

Reviewer for Remote Sensing of Environment (Elsevier)
Reviewer for IEEE Transactions On Geoscience And Remote Sensing
Reviewer for GIScience & Remote Sensing (Taylor & Francis)
Reviewer for Geomatics, Natural Hazards, and Risk  (Taylor & Francis)
Reviewer for All Earth (Taylor & Francis)
Reviewer for The Professional Geographer (Taylor & Francis)
Reviewer for Science of Remote Sensing (Elsevier)

Auszeichnungen:

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