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Arvind Gauns

Arvind Gauns

Researcher in biogeochemical integration at MPI Jena

agauns
Jena, Germany
Joined April 2026
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University Twente Alumni

Summary

Interdisciplinary remote sensing and ecosystem-modelling researcher: Arvind focuses on integrating remote sensing, radiative transfer models, and terrestrial ecosystem models to improve representation of vegetation optical properties and carbon dynamics in semi-arid tree–grass ecosystems. mpg+1
Applied geospatial and water-resources background: He has authored work on groundwater quality assessment using GIS and water quality indices, indicating applied skills in spatial analysis and environmental water quality evaluation. ijcmas+1
International academic trajectory: Education and research spanning institutions in India (TNAU), the Netherlands (University of Twente), and Germany (MPI for Biogeochemistry) reflect an international training path in geo-information science and biogeochemistry. ac+2
Science communication and student outreach: Participated as a Student Ambassador for Study in Holland, producing outreach content about studying in the Netherlands and scholarship/application guidance. instagram

Work

Education

Projects

Writing

Integrating Radiative Transfer with Ecosystem Models to Reflect Litter Dynamic and Optical Vegetation Properties in Semi-Arid Grasslands (EGU abstract)

April 1, 2025

Conference abstract describing the coupling of radiative transfer models and terrestrial ecosystem models to better capture litter dynamics and optical properties in semi-arid grasslands, with implications for improved aPAR and GPP representation.

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Geospatial approach for assessment of groundwater quality

July 1, 2023

Journal article describing a geo-spatial assessment of groundwater quality (drinking and irrigation suitability) across villages in Trichy District, India, using water quality indices and GIS-based analyses.

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GIS-based assessment of groundwater quality for drinking and irrigation by water quality index

March 1, 2020

Article presenting GIS-based groundwater sampling and computation of Water Quality Index (WQI) and multiple irrigation water quality indices across seasons.

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