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Gayathry Damarla

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+49 15258440860

+49 15258440860

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I hold an  M.Sc from the University of Twente- ITC, Netherlands, and an M.tech from India, with an academic background rooted in engineering, geospatial science, and data-driven analysis. During my studies, I completed internships with NASA SERVIR and UNDP, where I gained hands-on exposure to Earth observation technologies, sustainability-focused applications, and development-oriented projects.
 
Following this, I worked as a Junior Data Scientist at TerraSphere, Netherlands, contributing to geospatial and agricultural data analysis projects and strengthening my applied skills in remote sensing and spatial analytics.
 
I am currently pursuing my PhD at Justus Liebig University Giessen, Germany. My doctoral research focuses on leveraging remote sensing and data-driven approaches to address complex sustainability challenges.

Work Experience
04/2025 - 10/2025   Junior Data Scientist at Terra Sphere
04/2025 - 06/2025   Brazil – Soybean crops and Pasture Classification (ESA-WAC)
05/2025 - 08/2025   Crop Type Classification – Mozambique, Cameroon & Moldova (GEOGLAM)
06/2025 - 10/2025   Ukraine – Farm Boundary Delineation (World Bank )
04/2024 - 06/2024   Remote Sensing Specialist at NASA-SERVIR
06/2020 - 11/2020   Geospatial Data Analyst at UNDP

  

Education
Since 01/2026   PhD Student of Giessen University &
scholarship holder funded by the SDG Nexus Network
08/2022 - 08/2024   MSc in Geo-Information Science and Earth Observation Spatial Engineering, University of Twente (NL)
08/2019 - 05/2021   MSc. Master of Technology, Geoinformatics, KL University (NL)
08/2013 - 05/2018   BSc. Technology, Civil Engineering, Priyadarshini Institute of Technology &  Science

 

Further Information
Affiliation          Member of ZEU | Scholarship Holder
Focus Area   Climate & Environment
References               
Fields of Interest  
  • Digital agriculture
  • Sustainability
  • Soil systems
  • Food security
  • Remote sensing
  • Precision agriculture
Project involvement
  • SDG Nexus Network Projekt
Publications   

Peer-review Articles

  • Comparison of a decade’s data between LST and NDVI data for agricultural drought analysis in Rayalaseema region, AP, India: 
    Gayathry Damarla and Naga Chaitanya Kavuri 2021 IOP Conf. Ser.: Mater. Sci. Eng. 1136 012009
    https://doi.org/10.1088/1757-899x/1136/1/012009

  • Multistep flood inundation forecasts with resilient backpropagation neural networks: Kulmbach Case Study Lin et al., Water, 12(12), 2020, 3268. https://doi.org/10.3390/w12123568
  • Prediction of maximum flood inundation extents with resilient backpropagation neural network: Case Study of Kulmbach Lin et al., Frontiers in Earth Science, Vol. 8, 2020, p332. http://www.doi.org/10.3389/feart.2020.00332
  • Inclusion of narrow flow paths between buildings in coarser grids for urban flood modeling: virtual surface links
    Ramsauer et al., Water, 2021, 13(19), 2629 https://www.doi.org/10.3390/w13192629
  • Optimization of Artificial Neural Network (ANN) for Maximum Flood Inundation Forecasts
    Zhu et al., Water, 13(16), 2021, 2252 http://www.doi.org/10.3390/w13162252