Michael  Schultz

Im Neuenheimer Feld 348
Raum 019
69120 Heidelberg
Tel: +49 6221 54-5505
Fax: +49 6221 54-4529


Dr. Michael Schultz

Information on archiving:
Selected pages of this website are being preserved for archiving purposes. Since their contents are not getting updated anymore, the given information may be out of date or inaccurate.

Research Interests
  • land monitoring
  • accuracy assessment
  • OpenStreetMap and osmlanduse.org
  • climate change adaption
  • remote sensing time series
  • machiene learning

My research is in geospatial data fusion, at the interface of remote sensing, GIScience and citizen science. I rely on the use of deep learning models to estimate data quality and to solve traditional classification problems such as land use and land cover classification. By combining voluntarily collected data from mapathons or harvesting from prior data bases with remote sensing data, exclusive novel data products are created making the most of abundant human information available online and the effective use of deep learning.

I work closely with application experts across academia and industry to promote efficient and solution driven science. Previously within the H2020 LandSense project I work on quality estimation of citizen observatories and research on osmlanduse.org. I engage in research activities related to quality of data and its use for machine learning within the idealVGI project. Within the Heidelberg Center for the Environment I investigate the use of OpenStreetMap for greenhouse gas estimation for climate action science.

Together with my peers I lead classes on land cover classification and monitoring, OSMlanduse and machine learning. I’m currently providing lectures at Jena University as an substitute assistant Professor (akademischer Rat) and lead classes on remote sensing an GIS fundamentals on Bsc. level and specialized remote sensing classes and research seminars on Msc. level.

  • Li, H., Zech, J., Ludwig, C., Fendrich, S., Shapiro, A., Schultz, M., Zipf, A. (2021): Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning. International Journal of Applied Earth Observation and Geoinformation.
  • Stabel-Fischer, P., Schultz, M., and others (2021): Umweltinformationssysteme, Grundlagen einer angewandten Geoinformatik/Geo-IT. Wichmann (ISBN 978-3-87907-700-7).
  • Long, G., Schultz, M., Olteanu-Raimond, A.-M. (2020): Quality evaluation of citizen-observed data to the LandSense demonstration cases II.
    H2020 LandSense.
  • Long, G., Schultz, M., Olteanu-Raimond, A.-M. (2020): Good practice guidelines, protocols and benchmarking standards for quality assurance.
    H2020 LandSense.
  • Capellan, S., Stickler, T., Birli, B., Olteanu-Raimond, A.-M., Schultz, M., Mrkajic, V., Moorthy, I. (2020): Engagement action plans and campaign strategies for LandSense demonstration cases I. H2020 LandSense.
  • Moorthy, I., See, L., Banko, G., Capellan, S., Mrkajic, V., Olteanu-Raimond, A.-M., Schrammeijer, B., Schultz, M., Batič, M., Fritz, S. (2020): LandSense: Coupling citizen science and earth observation data to promote environmental monitoring. H2020 LandSense.
  • Stickler, T., Raimond, A.-M., Schrammeijer, B., Schultz, M. (2020):
    Cost Reduction and data conflation in monitoring land change.
    H2020 LandSense.
  • Gold, M., When, U., Tsertou, A., Wood, M., Ajates, R., Schultz, M. and Hager G. (2020): Mission Sustainable: Fostering an enabling environment for sustainable Citizen Observatories. WeObserve policy brief 2. European Citizen Science Association Conference 2020.
  • Li, H., Ghamisi, P., Rasti, B., Wu, Z., Shapiro, A., Schultz, M., Zipf, A. (2020): A Multi-Sensor Fusion Framework Based on Coupled Residual Convolutional Neural Networks. Remote Sensing
  • Raimond, A.-M., See L., Schultz, M., Foody, G., Jolivet, L., Le Bris, A., Meneroux, Y., Liu, L., Poupee, M., Gombert, M. (2020): Use of Automated Change Detection and VGI for Identifying and Validating Urban Land Use Change. Remote Sensing
  • Grinberger, Y., Novack, Schultz, M., Money, P., Zipf, A. (2019): Proceedings of the" Geographic and Cultural Aspects of Geo-Information: Issues and Solutions", AGILE 2019 Workshop: June, 17th 2019, Limassol, Cyprus Available at: https://archiv.ub.uni-heidelberg.de/volltextserver/27433/1/GeoCultGIS_Proceedings_2019.pdf
  • Rosser, J. Schultz, M. (2019): Quality evaluation of citizen-observed data to the LandSense demonstration cases. H2020 LandSense.
  • Yan, Y., Schultz, M., Zipf, A. (2019): An exploratory analysis of usability of Flickr tags for land use/land cover attribution, Geo-spatial Information Science (GSIS ). Taylor & Francis
  • Novack, T., Voss, J., Schultz, M., Zipf, A. (2018): Associating OpenStreetMap tags to CORINE land-cover classes using text and semantic similarity measures. VGI-ALIVE Workshop, Lund (Sweden). Available at: www.cs.nuim.ie/~pmooney/vgi-alive2018/papers/2.4.doc
  • Schultz, M. (2018): Definition of citizen-observed and authoritative data collection requirements for LandSense demonstration cases. H2020 LandSense. https://doi.org/10.5281/zenodo.3670341
  • Schultz, M., Shapiro, A., Clevers, J.G.P.W., Beech, C., Herold, M. (2018) Forest Cover and Vegetation Degradation Detection in the Kavango Zambezi Transfrontier Conservation Area Using BFAST Monitor. Remote Sensing
  • Avitabile, V., Schultz, M., Salvini, G., Pratihast, A.-K, Bos, A., Herold, N., Pham Manh, C., Vu Quang, H., & Herold, M (2017) Forest Change and REDD+ Strategies. Land Use and Climate Change Interactions in Central Vietnam
  • Schultz, M., Voss, J., Auer, M., Carter, S., Zipf, A. (2017) Open land cover from OpenStreetMap and remote sensing. International Journal of Applied Earth Observation and Geoinformation
  • Avitabile, V., Schultz, M., Herold, N., de Bruin, S., Pratihast, A.-K., Pham Manh, C., Vu Quang, H., & Herold, M. (2016) Carbon emissions from land cover change in central Vietnam. Carbon Management
  • Schultz, M., Clevers J.G.P.W., Carter S., Verbesselt, J., Vu Quang, H. & Herold, M. (2016) Performance of vegetation indices from Landsat time series in deforestation monitoring. International Journal of Applied Earth Observation and Geoinformation
  • Horst, A., Avitabile, V., Schultz, M., Krause, M., & Pirker, J. (2016) Reducing Emissions From Deforestation And Carbon Enhancement In Xe Pian National Protected Area, Lao PDR. Österreichische Bundesforste AG – Purkersdorf
  • Schultz, M., Avitabile V., Verbesselt J., Souza C., & Herold, M. (2015). Error sources in deforestation detection across three tropical sites: assessment using Landsat time series. IEEE Selected Topics in Applied Earth Observations and Remote Sensing
  • Schultz, M., Tsendbazar, N., Herold M., Jung M., Mayaux P., & Göhmann H. (2015). Utilizing the global land cover 2000 reference dataset for a comparative accuracy assessment of global 1 km land cover maps. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: 36th International Symposium on Remote Sensing of Environment May 2015, Berlin
  • Hamunyela, E., Verbesselt J., Schultz, M., Penndorf, A., Frotscher, K., Herold, M., Reiche, J., DeVries B., Dutrieux, L., & Calders K. (2014) Tracking forest cover change using Landsat & Rapid Eye towards S2. ESA-ESRIN: Sentinel-2 for Science Workshop May 2014, Frascati
  • Schultz, M., Verbesselt J., Herold, M. & V. Avitabile (2013). Assessing error sources for Landsat time series analysis for tropical test sites in Viet Nam and Ethiopia. Proceedings of SPIE: the International Society of Optical Engineering September 2013, Dresden
  • Verbesselt J., Schultz, M., Kalomenopoulos, M., Avitabile V., & Herold M. (2012). Synergy of sentinel-2 and 3 satellite data towards deforestation and degradation monitoring using BFAST. ESA-ESRIN: Proceedings of First Sentinel-2 Preparatory Symposium April 2012, Frascati
Workshop host
  • EuroSDR 2020 lead validation campaign of osmlanduse.org with Marijn van de Velde and Ana-Maria Raimond
  • AGILE 2019 Limassol, lead on GeoCultGIS (Geographic and Cultural Aspects of Geo-Information: Issues and Solutions) with Yair Grinberger and Tessio Novack
  • European Space Agency (ESA) Φ – week 2019 Frascati, chair on spaceborne edge processing, future of Earth Observation
Curriculum Vitae


2004 – 2007 Bsc. Geography (Geo-ecology, Geo-informatics, Remote Sensing), Friedrich Schiller University Jena (DE)
2008 – 2010 Msc. Geoinformatics (Hydrology, Data Exploration, Remote Sensing (RADAR & optical), Friedrich Schiller University Jena (DE)
2011 – 2016 PhD. Remote Sensing (Time series analysis, Deforestation Monitoring), Wageningen University (NL)

Professional Occupation
  • 2021 – substitute assistant professor at Uni Jena
  • 2016 – to date PostDoc at Uni Heidelberg
  • 2011 – 2020: free-lance remote sensing consultant (among others with GIZ, WWF and ÖBf)
  • 2011 – 2015: Scientific employee LUCCI project (Uni Jena &, Wageningen UR)
  • 2004 – 2011: Developer, research assistant and Tutor on various Geo-related tasks in various countries (e.g. Australia, UAE, DE)
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Letzte Änderung: 27.05.2022
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