Philippe Rufin

Institute of Geographical Sciences
Remote Sensing and Geoinformatics
Professor
Room H057
12249 Berlin
Office hours
(Online-) Sprechstunde: Anmeldung per E-Mail
(Online) Consultation hours: appointment via e-mail
Pronomen/Pronouns: er/ihm – he/him
09/2021 – 08/2026 F.R.S.-FNRS Postdoctoral Fellow: Agricultural dynamics in Sub-Saharan Africa
Land Systems for Sustainability Lab | Earth & Life Institute | UCLouvain | Belgium
04/2019 – 09/2021 Postdoctoral Fellow: Large-area agriculture mapping
Earth Observation Lab | Geography Department | Humboldt-Universität, Germany
05/2015 – 04/2019 Dr. rer. nat. Geography: A global to regional scale assessment of dam-induced agricultural change by means of remote sensing
Earth Observation Lab | Geography Department | Humboldt-Universität, Germany
05/2014 – 05/2015 Research Associate: Social-ecological trade-offs of dams & reservoirs
Earth Observation Lab | Geography Department | Humboldt-Universität, Germany
10/2011 – 05/2014 M.Sc. Physical Geography of Human-Environment-Systems
Geography Department | Humboldt-Universität, Germany
12/2011 – 04/2014 Student Collaborator
Land System Science Cluster | Geography Department | Humboldt-Universität, Germany
10/2007 – 09-2011 B.A. Geography
Geography Department | Humboldt-Universität, Germany
Website: https://philipperufin.github.io/
BlueSky: @philrufin.bsky.social
Mastodon: @philrufin@mapstodon.space
ORCiD: 0000-0001-8919-1058
Google Scholar: https://scholar.google.com/citations?user=62sSWfEAAAAJ&hl=de
Research Gate: https://www.researchgate.net/profile/Philippe-Rufin-2
BSc Courses
- VL Introduction to Remote Sensing
- PC-S Introduction to Remote Sensing
MSc Courses
- VL Principles of GIS and Remote Sensing
- VL Advanced Remote Sensing and Geoinformatics
Vorherige Kurse:
- Earth Observation, M.Sc. Global Change Geography, Humboldt-Universität zu Berlin
- Introduction to Remote Sensing, B.Sc. Geography, Humboldt-Universität zu Berlin
- Statistics for Geographers, B.Sc. Geography, Humboldt-Universität zu Berlin
- Applied Geoinformation Science, B.Sc. Geography, Humboldt-Universität zu Berlin
- Quantifying and understanding land change in social-ecological systems: Impacts of dam construction, B.Sc. Geography, Humboldt-Universität zu Berlin
Research Interests
I am a Geographer with a strong interest in Remote Sensing and Geoinformatics in the context of Land System Science and Sustainability Science. My research involves the development and application of tools and methods for large-area mapping of land use and land use intensity across decadal time frames. Currently, my work focuses on mapping the dynamics of cropland, field size, and land use intensity in heterogeneous and dynamic smallholder agriculture in Sub-Saharan Africa, for which I use deep learning and very high spatial resolution satellite imagery. For more information and recent updates, feel free to visit my website.
Peer-Reviewed Articles
Rufin, P., Hammer, P. L., Thomas, L.-F., Lisboa, S. N., Ribeiro, N., Sitoe, A., Hostert, P., & Meyfroidt, P. (2026). National-scale field delineation in Mozambique refines our understanding of cropland distribution, field size, and deforestation actors. Environmental Research Letters, 21(8), 084009. https://doi.org/10.1088/1748-9326/ae5cb4
Akinyemi, F. O., Rufin, P., Ibrahim, E. S., Hostert, P., Ogunsumi, L. O., Egbetokun, O. A., & Ifejika Speranza, C. (2026). Mapping crop types in smallholder mono- and intercropping systems with multi-sensor data in regions with multiple growing cycles. Science of Remote Sensing, 13, 100416. https://doi.org/10.1016/j.srs.2026.100416
Peña-Guerrero, M. D., Senay, G. B., Umirbekov, A., Tarasova, L., Rufin, P., Pulatov, B., & Müller, D. (2026). Climate change has increased crop water consumption in Central Asia despite less water-intensive cropping. Communications Earth & Environment, 7(1), 122. https://doi.org/10.1038/s43247-025-03142-y
Xiong, S., Hadunka, P., Mulenga, B., Baylis, K., Rufin, P., & Estes, L. (2026). Is field size an indicator of farm size in smallholder-dominated croplands? Environmental Research: Food Systems. https://doi.org/10.1088/2976-601X/ae490a
Bhagwat, T., Rufin, P., Kuemmerle, T., & Kamp, J. (2025). Landscape composition drives winter bird assemblages in agriculture–savanna mosaics of western India. Ecological Applications, 35(2). https://doi.org/10.1002/eap.70016
Ghamisi, P., Yu, W., Marinoni, A., Gevaert, C. M., Persello, C., Selvakumaran, S., Girotto, M., Horton, B. P., Rufin, P., Hostert, P., Pacifici, F., & Atkinson, P. M. (2025). Responsible Artificial Intelligence for Earth Observation: Achievable and realistic paths to serve the collective good. IEEE Geoscience and Remote Sensing Magazine, 2–26. https://doi.org/10.1109/MGRS.2025.3529726
Rufin, P., Meyfroidt, P., Akinyemi, F. O., Estes, L., Ibrahim, E. S., Jain, M., Kerner, H., Lisboa, S. N., Lobell, D., Nakalembe, C., Persello, C., Picoli, M. C. A., Ribeiro, N., Sitoe, A. A., Waha, K., & Wang, S. (2025). To enhance sustainable development goal research, open up commercial satellite image archives. Proceedings of the National Academy of Sciences, 122(7). https://doi.org/10.1073/pnas.2410246122
Rufin, P., Wang, S., Lisboa, S. N., Hemmerling, J., Tulbure, M. G., & Meyfroidt, P. (2024). Taking it further: Leveraging pseudo-labels for field delineation across label-scarce smallholder regions. International Journal of Applied Earth Observation and Geoinformation, 134, 104149. https://doi.org/10.1016/j.jag.2024.104149
Jänicke, C., Wesemeyer, M., Chiarella, C., Lakes, T., Levers, C., Meyfroidt, P., Müller, D., Pratzer, M., & Rufin, P. (2024). Can we estimate farm size from field size? An empirical investigation of the field size to farm size relationship. Agricultural Systems, 220, 104088. https://doi.org/10.1016/j.agsy.2024.104088
Meyfroidt, P., Abeygunawardane, D., Baumann, M., Bey, A., Buchadas, A., Chiarella, C., Junquera, V., Kronenburg García, A., Kuemmerle, T., Le Polain De Waroux, Y., Oliveira, E., Picoli, M., Qin, S., Rodriguez García, V., & Rufin, P. (2024). Explaining the emergence of land-use frontiers. Royal Society Open Science, 11(7), 240295. https://doi.org/10.1098/rsos.240295
Chiarella, C., Rufin, P., Abeygunawardane, D., Bey, A., Lisboa, S. N., Zavale, H., & Meyfroidt, P. (2024). Impacts of large-scale forestry investments on neighboring small-scale agriculture in northern Mozambique. Land Use Policy, 145, 107251. https://doi.org/10.1016/j.landusepol.2024.107251
Pratzer, M., Meyfroidt, P., Antongiovanni, M., Aragon, R., Baldi, G., Czaplicki Cabezas, S., De La Vega-Leinert, C. A., Dhyani, S., Diepart, J.-C., Fernandez, P. D., Garnett, S. T., Gavier Pizarro, G. I., Kalam, T., Koulgi, P., Le Polain De Waroux, Y., Marinaro, S., Mastrangelo, M., Mueller, D., Mueller, R., …, Rufin, P., … Kuemmerle, T. (2024). An actor-centered, scalable land system typology for addressing biodiversity loss in the world’s tropical dry woodlands. Global Environmental Change, 86, 102849. https://doi.org/10.1016/j.gloenvcha.2024.102849
Salomão, C., Alsleben, J., Rufin, P., & Hostert, P. (2024). Mapping hydropower expansion and cash crop dynamics in Colombia using Landsat time series. Geocarto International, 39(1), 2322064. https://doi.org/10.1080/10106049.2024.2322064
Frantz, D., Rufin, P., Janz, A., Ernst, S., Pflugmacher, D., Schug, F., & Hostert, P. (2023). Understanding the robustness of spectral-temporal metrics across the global Landsat archive from 1984 to 2019 – a quantitative evaluation. Remote Sensing of Environment, 298, 113823. https://doi.org/10.1016/j.rse.2023.113823
Reis, T. N. P. dos, Ribeiro, V., Garrett, R. D., Kuemmerle, T., Rufin, P., Guidotti, V., Amaral, P. C., & Meyfroidt, P. (2023). Explaining the stickiness of supply chain relations in the Brazilian soybean trade. Global Environmental Change, 78(344), 102633. https://doi.org/10.1016/j.gloenvcha.2022.102633
Friis, C., Hernández-Morcillo, M., Baumann, M., Coral, C., Frommen, T., Ghoddousi, A., Loibl, D., & Rufin, P. (2023). Enabling spaces for bridging scales: Scanning solutions for interdisciplinary human-environment research. Sustainability Science. https://doi.org/10.1007/s11625-022-01271-3
Rufin, P., Bey, A., Picoli, M., & Meyfroidt, P. (2022). Large-area mapping of active cropland and short-term fallows in smallholder landscapes using PlanetScope data. International Journal of Applied Earth Observation and Geoinformation, 112(1), 102937. https://doi.org/10.1016/j.jag.2022.102937
Rufin, P., Peña-Guerrero, M. D., Umirbekov, A., Wei, Y., & Müller, D. (2022). Post-Soviet changes in cropping practices in the irrigated drylands of the Aral Sea basin. Environmental Research Letters, 17(9), 095013. https://doi.org/10.1088/1748-9326/ac8daa
Frantz, D., Hostert, P., Rufin, P., Ernst, S., Röder, A., & van der Linden, S. (2022). Revisiting the Past: Replicability of a Historic Long-Term Vegetation Dynamics Assessment in the Era of Big Data Analytics. Remote Sensing, 14(3), 597. https://doi.org/10.3390/rs14030597
Oliveira, H. F. M., Fandos, G., Zangrandi, P. L., do Nascimento Bendini, H., Silva, D. C., Muylaert, R. L., Marinho-Filho, J. S., Fonseca, L. M. G., Rufin, P., Schwieder, M., & others. (2022). Crops, caves, and bats: Deforestation and mining threaten an endemic and endangered bat species (Lonchophylla: Phyllostomidae) in the Neotropical savannas. Hystrix, the Italian Journal of Mammalogy. https://doi.org/10.4404/hystrix-00541-2022
Rufin, P., Frantz, D., Yan, L., & Hostert, P. (2021). Operational Coregistration of the Sentinel-2A/B Image Archive Using Multitemporal Landsat Spectral Averages. IEEE Geoscience and Remote Sensing Letters, 18(4), 712–716. https://doi.org/10.1109/LGRS.2020.2982245
Rufin, P., Rabe, A., Nill, L., & Hostert, P. (2021). GEE Time Series Explorer for QGIS – Instant Access to Petabytes of Earth Observation Data. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVI-4/W2-2021, 155–158. https://doi.org/10.5194/isprs-archives-XLVI-4-W2-2021-155-2021
Borona, P., Busch, F., Krueger, T., & Rufin, P. (2021). Uncertainty in Drought Identification Due to Data Choices, and The Value of Triangulation. Water, 13(24), 3611. https://doi.org/10.3390/w13243611
Ibrahim, E. S., Rufin, P., Nill, L., Kamali, B., Nendel, C., & Hostert, P. (2021). Mapping Crop Types and Cropping Systems in Nigeria with Sentinel-2 Imagery. Remote Sensing, 13(17), 3523. https://doi.org/10.3390/rs13173523
Rufin, P., Müller, D., Schwieder, M., Pflugmacher, D., & Hostert, P. (2021). Landsat time series reveal simultaneous expansion and intensification of irrigated dry season cropping in Southeastern Turkey. Journal of Land Use Science, 3(3), 1–17. https://doi.org/10.1080/1747423X.2020.1858198
Rufin, P., Gollnow, F., Müller, D., & Hostert, P. (2019). Synthesizing dam-induced land system change. AMBIO, 92, 90. https://doi.org/10.1007/s13280-018-01144-z
Rufin, P., Frantz, D., Ernst, S., Rabe, A., Griffiths, P., Özdoğan, M., & Hostert, P. (2019). Mapping Cropping Practices on a National Scale Using Intra-Annual Landsat Time Series Binning. Remote Sensing, 11(3), 232. https://doi.org/10.3390/rs11030232
Bendini, H. N., Garcia Fonseca, L. M., Schwieder, M., Sehn Körting, T., Rufin, P., Del Arco Sanches, I., Leitão, P. J., & Hostert, P. (2019). Detailed agricultural land classification in the Brazilian Cerrado based on phenological information from dense satellite image time series. International Journal of Applied Earth Observation and Geoinformation, 82, 101872. https://doi.org/10.1016/j.jag.2019.05.005
Rufin, P., Levers, C., Baumann, M., Jägermeyr, J., Krueger, T., Kuemmerle, T., & Hostert, P. (2018). Global-scale patterns and determinants of cropping frequency in irrigation dam command areas. Global Environmental Change, 50, 110–122. https://doi.org/10.1016/j.gloenvcha.2018.02.011
Müller, H., Rufin, P., Griffiths, P., de Barros Viana Hissa, Letícia, & Hostert, P. (2016). Beyond deforestation: Differences in long-term regrowth dynamics across land use regimes in southern Amazonia. Remote Sensing of Environment, 186, 652–662. https://doi.org/10.1016/j.rse.2016.09.012
Müller, H., Rufin, P., Griffiths, P., Barros Siqueira, Auberto José, & Hostert, P. (2015). Mining dense Landsat time series for separating cropland and pasture in a heterogeneous Brazilian savanna landscape. Remote Sensing of Environment, 156, 490–499. https://doi.org/10.1016/j.rse.2014.10.014
Rufin, P., Müller, H., Pflugmacher, D., & Hostert, P. (2015). Land use intensity trajectories on Amazonian pastures derived from Landsat time series. International Journal of Applied Earth Observation and Geoinformation, 41, 1–10. https://doi.org/10.1016/j.jag.2015.04.010