new PhD student Maninder Singh Dhillon

new PhD student Maninder Singh Dhillon

m

February 20, 2019

In March, Maninder Singh Dhillon will join the Department of Remote Sensing as a PhD student. He will work on observing crop statistics such as crop biomass and crop yield using crop growth models (CGMs) for the state of Bavaria, Germany. In this context, he will be designing different CGMs in collaboration with synthetic remote sensing time series, and climate model outputs for monitoring of biomass and prediction of crop yields for wheat, maize and rapeseed. His PhD project is part of the work package “Mapping of land use and ecosystem services using remote sensing” within the research project “Effects of climate change on biodiversity and ecosystem services in semi-natural, agricultural and urban landscapes and strategies for management of climate change“ (Landklif).

Maninder has been studying the department’s EAGLE Master program from 2016 to 2018, specializing in Earth Observation and Geoanalysis. He finished his studies with his Master Thesis on agriculture on crop statistics, titled “Comparing the performance of crop growth models using synthetic remote sensing data at DEMMIN, Germany”. During his Master studies, he worked as a student research assistant at the department and published two international research papers on the social issue of increasing carbon emissions due to enormous amount of groundwater usage in India. To obtain more experience on crop related statistics, he joined the department of National Ground Segment in Neustrelitz of German Remote Sensing Data Center (DFD) at the German Aerospace Center (DLR) for his internship titles “Comparing the performance of different evapotranspiration models using the weather station data of Toitz station, Germany”.

Before joining Eagles’s program, he completed his studies from Punjab Agricultural University (PAU), Punjab, India and gained some experience by working in Punjab Remote Sensing Centre, Ludhiana, India.

you may also like:

Call for Papers for the Joint Urban Remote Sensing Event (JURSE)

Call for Papers for the Joint Urban Remote Sensing Event (JURSE)

The Joint Urban Remote Sensing Event (JURSE) ( http://jurse.org/ ) is a forum of excellence where researchers, practitioners and students present, share, and discuss their latest findings and results. A very dynamic version of the Joint Urban Remote Sensing Event...

public talk by Hannes Taubenböck

public talk by Hannes Taubenböck

Deutschland – Wie und wo wir wohnen (wollen) Vortrag von Hannes Taubenböck (publich talk in german by Hannes Taubenböck on "How and where we like to live") Jede:r von uns wohnt – irgendwie. Ob in ländlichen oder urbanen Gefilden, ob in Ein- oder Mehrfamilienhäusern,...

new publication: on population disaggregation

new publication: on population disaggregation

A new article by Hannes Taubenböck and his team got published "Empiric recommendations for population disaggregation under different data scenarios" in PLOS One. From the abstract: "High-resolution population mapping is of high relevance for developing and...

most recent news:

Call for Papers for the Joint Urban Remote Sensing Event (JURSE)

Call for Papers for the Joint Urban Remote Sensing Event (JURSE)

The Joint Urban Remote Sensing Event (JURSE) ( http://jurse.org/ ) is a forum of excellence where researchers, practitioners and students present, share, and discuss their latest findings and results. A very dynamic version of the Joint Urban Remote Sensing Event...

public talk by Hannes Taubenböck

public talk by Hannes Taubenböck

Deutschland – Wie und wo wir wohnen (wollen) Vortrag von Hannes Taubenböck (publich talk in german by Hannes Taubenböck on "How and where we like to live") Jede:r von uns wohnt – irgendwie. Ob in ländlichen oder urbanen Gefilden, ob in Ein- oder Mehrfamilienhäusern,...

new publication: on population disaggregation

new publication: on population disaggregation

A new article by Hannes Taubenböck and his team got published "Empiric recommendations for population disaggregation under different data scenarios" in PLOS One. From the abstract: "High-resolution population mapping is of high relevance for developing and...