Research Interests



• Satellite remote sensing
• Machine learning
• Change analysis
• Grassland ecosystems
• Biodiversity and nature conservation

Curriculum Vitae

since Mar 2023

Junior Professor for Applied Geoecology, Hildesheim University

2019-2023

Postdoctoral Researcher, TRANSECT, Eberswalde University for Sustainable Development
Project: Agricultural land cover change and sustainable land use in Central and South Asia

2016-2019

PhD Researcher, Georg-August-University Göttingen

Thesis: Combining remote sensing data at different spatial, temporal and spectral resolutions to characterise semi-natural grassland habitats for large herbivores in a heterogeneous landscape

2014-2015

Research Assistant, University College Cork

Project: Mapping Land Cover in Lowlands and Uplands with Satellite Imagery – TaLAM

2011-2014

M.Sc. Geographical Science – Environmental Hydrology, Freie Universität Berlin

Thesis: Land cover pattern in a sub-catchment of the Voi River, Kenya, from remote sensing and field data – A comparison of pixel- and object-based classification methods

2007-2011

B.Sc. Georesources Management, RWTH Aachen

Thesis: Wildbäche und Muren in den Hochgebirgsregionen der Alpen: Größenordnung, Verbaumaßnahmen und ökologische Konzepte

Publications

Peer-reviewed Journal Articles

Raab, C., Spies, M. (2023): Characterising cropland fragmentation in post-Soviet Central Asia, using Landsat remote-sensing time series data. Applied Geography. Volume 156.

DOI: 10.1016/j.apgeog.2023.102968

Zuberi, M., Raab, C., Spies, M. (2022) Landnutzungswandel im Baumwollgürtel Pakistans. Gen-Baumwolle, Agrardiversifizierung und ökologische Herausforderungen im Süden des Punjab, Geographische Rundschau 75/4, 20-25.

Spies, M.; Zuberi, M.; Mählis, M.; Zakirova, A.; Alff, H.; Raab, C. (2022) Towards a participatory systems approach to managing complex bioeconomy interventions in the agrarian sector. Sustainable Production and Consumption.
DOI: 10.1016/j.spc.2022.03.020

Raab, C., Riesch, F., Tonn, B., Barrett, B., Meißner, M., Balkenhol, N., & Isselstein, J (2020). Target‐oriented habitat and wildlife management: estimating forage quantity and quality of semi‐natural grasslands with Sentinel‐1 and Sentinel‐2 data. Remote Sensing in Ecology and Conservation.

Richter, L., Balkenhol, N., Raab, C., Reinecke, H., Meißner, M., Herzog, S., Isselstein, J. & Signer, J. (2020). So close and yet so different: The importance of considering temporal dynamics to understand habitat selection. Basic and Applied Ecology.

Raab, C., Tonn, B., Meißner, M., Balkenhol, N., & Isselstein, J. (2019). Multi-temporal RapidEye Tasselled Cap data for land cover classification. European Journal of Remote Sensing, 52(1), 653-666.

Raab C., Stroh H.-G., Tonn B., Meißner M., Rohwer N., Balkenhol N., Isselstein J. (2018): Mapping semi-natural grassland communities using multi-temporal RapidEye remote sensing data. International Journal of Remote Sensing.
DOI: 10.1080/01431161.2018.1504344

Tonn B., Raab C., Isselstein J. (2018): Sward patterns created by patch grazing are stable over more than a decade. Grass and Forage Science.
DOI: 10.1111/gfs.12389

Barrett B., Raab C., Cawkwell F., & Green S. (2016): Upland vegetation mapping using Random Forests with optical and radar satellite data. Remote Sensing in Ecology and Conservation.

DOI: 10.1002/rse2.32

Raab C., Barrett B., Green S., Cawkwell F. (2015): Evaluation of multi-temporal and multi-sensor atmospheric correction strategies for land cover accounting and monitoring in Ireland. Remote Sensing Letters.
DOI: 10.1080/2150704X.2015.1076950

Recent Conference Presentations

Raab, C., & Nguyen, V. D. (2023). Crop type mapping in Central and South Asia using Sentinel-1 and Sentinel-2 remote sensing data (No. EGU23-3687). Copernicus Meetings.
doi.org/10.5194/egusphere-egu23-3687

Proceedings

Spies, Michael; Alff, Henryk; Raab, Christoph; Zakirova, Aksana and Mehwish Zuberi (eds.)(2023): Sustainable Food and Biomass Futures? Localised Approaches to Agricultural Change and Bioeconomy. Eberswalde.https://doi.org/10.57741/opus4-837.