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Hannah Kemper

Contact
Mail: Hannah.Kemper@edu.ruhr-uni-bochum.de
Unit: Urban Remote Sensing

Research Associate

Hannahkemper
Hannah Kemper

Curriculum vitae

Since 06/2025
Research Associate the Urban Remote Sensing Working Group at Ruhr University Bochum

Since 01/2022
Earth Observation Analyst at the United Nations World Food Programme (WFP), Rome, Italy

10/2021 – 01/2022
Junior Data Engineer at Food and Agriculture Organization (FAO), Rome, Italy

05/2020 – 10/2021
Project-Manager at GGS GmbH Speyer

05/2020 – 07/2020
Internship at United Nations Office for Space-based Information for Disaster Management and Emergency Response (UN-SPIDER) in Bonn

11/2019 – 04/2020
Internship at GoHelp Program for Humanitarian Logistics at Deutsche Post DHL Group in Bonn

10/2018 – 10/2019
Student Assistant at the German Development Institute (GDI) in the project Agenda 2030

10/2018 – 01/2022
Master of Science Geography at University Bonn
Topic of Master thesis: Drought Early Warning and driving forces of food insecurity in Botswana – a conceptualisation using a Data Science approach combining Remote Sensing, GIS and Machine Learning
Semester abroad in 2020 at University College (UCL) in London

10/2014 – 09/2018
Bachelor of Science Geography Heidelberg University
Semester abroad in 2016 at the National University of Colombia in Bogotá

Publications

Kemper et al. (2023): Landscape Impact Assessment of SDG2 Development projects using remote sensing and unsupervised control site selection. https://doi.org/10.5194/isprs-annals-X-1-W1-2023-397-2023

Kemper & Kemper (2022): Multispectral Aerial Images to support biotope information system for midge infestation and bark beetle monitoring, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-893-2022

Kemper et al. (2022): Soil Erosion Calculation using aerial images based DTM in a cross border vinery region, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1041-2022

Kemper, Schmidt & Keller (2022): Climatic Effects on Argentina's Tradition Drink - A machine learning based yerba mate production prediction, https://doi.org/10.5194/isprs-annals-V-3-2022-423-2022

Kemper (2022): Development of a Drought Early Warning System based on the Prediction of Agricultural Productivity: A Data Science Approach, 10.1553/giscience2022_01_s58

Ariza, Davila, Kemper & Kemper (2021): Landslide Detection in Central America using the Differential Bare Index, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-679-2021

Ariza, Kemper & Kemper (2021): Integration of Ground-Truth Data via Cloud Computing for Enhanced Burn Severity Mapping - An Example from Honduras, 10.1553/giscience2021_01_s24

Kanand, Kemper, König & Kemper (2020): Wildfire detection and disaster monitoring system using UAS and Sensor Fusion Technologies. https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1671-2020

Kemper & Kemper (2020): Sensor Fusion, GIS and AI Technologies for Disaster Management. https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1677-2020

Talks

Poster presentations:
Synergies of Earth Observation Data and local knowledge for decision-making processes during planning phases of resilience projects, AK Fernerkundung 2025, 29 – 30 September in Bochum, Germany

Research Interests

  • Geodata, GIS and Remote Sensing with application in Sustainable Development and humanitarian coordination
  • Geodata-based Planning in sustainable agriculture and land rehabilitation
  • Socio-ecological relationships and traditional Human-Nature-Systems