{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T18:05:34Z","timestamp":1770487534882,"version":"3.49.0"},"reference-count":81,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2017,3,18]],"date-time":"2017-03-18T00:00:00Z","timestamp":1489795200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft","doi-asserted-by":"publisher","award":["PE 1632\/10-1"],"award-info":[{"award-number":["PE 1632\/10-1"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Geographic Object-Based Image Analysis (GEOBIA) mostly uses proprietary software,but the interest in Free and Open-Source Software (FOSS) for GEOBIA is growing. This interest stems not only from cost savings, but also from benefits concerning reproducibility and collaboration. Technical challenges hamper practical reproducibility, especially when multiple software packages are required to conduct an analysis. In this study, we use containerization to package a GEOBIA workflow in a well-defined FOSS environment. We explore the approach using two software stacks to perform an exemplary analysis detecting destruction of buildings in bi-temporal images of a conflict area. The analysis combines feature extraction techniques with segmentation and object-based analysis to detect changes using automatically-defined local reference values and to distinguish disappeared buildings from non-target structures. The resulting workflow is published as FOSS comprising both the model and data in a ready to use Docker image and a user interface for interaction with the containerized workflow. The presented solution advances GEOBIA in the following aspects: higher transparency of methodology; easier reuse and adaption of workflows; better transferability between operating systems; complete description of the software environment; and easy application of workflows by image analysis experts and non-experts. As a result, it promotes not only the reproducibility of GEOBIA, but also its practical adoption.<\/jats:p>","DOI":"10.3390\/rs9030290","type":"journal-article","created":{"date-parts":[[2017,3,20]],"date-time":"2017-03-20T11:39:09Z","timestamp":1490009949000},"page":"290","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Reproducibility and Practical Adoption of GEOBIA with Open-Source Software in Docker Containers"],"prefix":"10.3390","volume":"9","author":[{"given":"Christian","family":"Knoth","sequence":"first","affiliation":[{"name":"Institute for Geoinformatics, University of M\u00fcnster, Heisenbergstra\u00dfe 2, 48149 M\u00fcnster, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel","family":"N\u00fcst","sequence":"additional","affiliation":[{"name":"Institute for Geoinformatics, University of M\u00fcnster, Heisenbergstra\u00dfe 2, 48149 M\u00fcnster, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2017,3,18]]},"reference":[{"key":"ref_1","unstructured":"Bailey, C.W. What Is Open Access?. Available online: http:\/\/digital-scholarship.org\/cwb\/WhatIsOA.htm."},{"key":"ref_2","unstructured":"European Commission Horizon 2020 Open Science (Open Access). Available online: https:\/\/ec.europa.eu\/programmes\/horizon2020\/en\/h2020-section\/open-science-open-access."},{"key":"ref_3","unstructured":"The Commission High Level Expert Group on the European Open Science Cloud (2016). Realising the European Open Science Cloud, European Commission."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1422","DOI":"10.1126\/science.aab2374","article-title":"Promoting an open research culture","volume":"348","author":"Nosek","year":"2015","journal-title":"Science"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1093\/biostatistics\/kxp014","article-title":"Reproducible research and Biostatistics","volume":"10","author":"Peng","year":"2009","journal-title":"Biostatistics"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1186\/s13059-015-0850-7","article-title":"Five selfish reasons to work reproducibly","volume":"16","author":"Markowetz","year":"2015","journal-title":"Genome Biol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"436","DOI":"10.31263\/voebm.v69i3.1733","article-title":"The Vienna Principles: A Vision for Scholarly Communication in the 21st Century","volume":"3","author":"Kraker","year":"2016","journal-title":"Mitteilungen der Vereinigung \u00d6sterreichischer Bibliothekarinnen und Bibliothekare"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Sandve, G.K., Nekrutenko, A., Taylor, J., and Hovig, E. (2013). Ten Simple Rules for Reproducible Computational Research. PLoS Comput. Biol., 9.","DOI":"10.1371\/journal.pcbi.1003285"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1198\/106186007X178663","article-title":"Statistical Analyses and Reproducible Research","volume":"16","author":"Gentleman","year":"2007","journal-title":"J. Comput. Graph. Stat."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"341ps12","DOI":"10.1126\/scitranslmed.aaf5027","article-title":"What does research reproducibility mean?","volume":"8","author":"Goodman","year":"2016","journal-title":"Sci. Transl. Med."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1109\/TGRS.2014.2318997","article-title":"A New Framework for SAR Multitemporal Data RGB Representation: Rationale and Products","volume":"53","author":"Amitrano","year":"2015","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1109\/MCSE.2012.62","article-title":"Virtual Appliances, Cloud Computing, and Reproducible Research","volume":"14","author":"Howe","year":"2012","journal-title":"Comput. Sci. Eng."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1226","DOI":"10.1126\/science.1213847","article-title":"Reproducible Research in Computational Science","volume":"334","author":"Peng","year":"2011","journal-title":"Science"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.ecss.2012.11.001","article-title":"Do marine substrates \u2018look\u2019 and \u2018sound\u2019 the same? Supervised classification of multibeam acoustic data using autonomous underwater vehicle images","volume":"117","author":"Lucieer","year":"2013","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"404","DOI":"10.3390\/rs4020404","article-title":"An Object-Based Image Analysis Method for Monitoring Land Conversion by Artificial Sprawl Use of RapidEye and IRS Data","volume":"4","author":"Dupuy","year":"2012","journal-title":"Remote Sens."},{"key":"ref_16","unstructured":"Tormos, T., Dupuy, S., Van Looy, K., Barbe, E., and Kosuth, P. (2012, January 7\u20139). An OBIA for fine-scale land cover spatial analysis over broad territories: Demonstration through riparian corridor and artificial sprawl studies in France. Proceedings of the GEOBIA 2012: 4th International Conference on GEographic Object-Based Image Analysis, Rio de Janeiro, Brazil."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1109\/MCSE.2015.18","article-title":"ResearchCompendia.org: Cyberinfrastructure for Reproducibility and Collaboration in Computational Science","volume":"17","author":"Stodden","year":"2015","journal-title":"Comput. Sci. Eng."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1016\/j.future.2011.08.004","article-title":"Why linked data is not enough for scientists","volume":"29","author":"Bechhofer","year":"2013","journal-title":"Future Gen. Comput. Syst."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Chirigati, F., Rampin, R., Shasha, D., and Freire, J. (July, January 26). ReproZip: Computational Reproducibility With Ease. Proceedings of the SIGMOD 2016 International Conference on Management of Data, San Francisco, CA, USA.","DOI":"10.1145\/2882903.2899401"},{"key":"ref_20","unstructured":"Douglas, T., and Haiyan Meng, P. (2016, January 2\u20136). Techniques for Preserving Scientific Software Executions: Preserve the Mess or Encourage Cleanliness?. Proceedings of the 12th International Conference on Digital Preservation (iPres) 2015, Chapel Hill, NC, USA."},{"key":"ref_21","unstructured":"Open Source Initiative Open Source Case for Business:Advocacy. Available online: https:\/\/opensource.org\/advocacy\/case_for_business.php."},{"key":"ref_22","unstructured":"Wightman, T. What\u2019s keeping you from using open source software?. Available online: https:\/\/opensource.com\/business\/13\/12\/using-open-source-software."},{"key":"ref_23","unstructured":"Salus, P. (1994). A Quarter-Century of Unix, Addison-Wesley."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Grippa, T., Lennert, M., Beaumont, B., Vanhuysse, S., Stephenne, N., and Wolff, E. (2016, January 14\u201316). An Open-Source Semi-Automated Processing Chain for Urban OBIA Classification. Proceedings of the GEOBIA 2016: Solutions & Synergies, Enschede, The Netherlands.","DOI":"10.3990\/2.367"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"B\u00f6ck, S., Immitzer, M., and Atzberger, C. (2016, January 14\u201316). Automated Segmentation Parameter Selection and Classification of Urban Scenes Using Open-Source Software. Proceedings of the GEOBIA 2016: Solutions & Synergies, Enschede, The Netherlands.","DOI":"10.3990\/2.449"},{"key":"ref_26","unstructured":"Van De Kerchove, R., Hanson, E., and Wolff, E. (2014, January 22). Comparing pixel-based and object-based classification methodologies for mapping impervious surfaces in Wallonia using ortho-imagery and LIDAR data. Proceedings of the GEOBIA 2014: Advancements, Trends and Challenges, Thessaloniki, Greece."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.cageo.2013.02.007","article-title":"GeoDMA\u2014Geographic Data Mining Analyst","volume":"57","author":"Fonseca","year":"2013","journal-title":"Comput. Geosci."},{"key":"ref_28","unstructured":"Costa, G., Feitosa, R., Fonseca, L., Oliveira, D., Ferreira, R., and Castejon, E. (July, January 29). Knowledge-based interpretation of remote sensing data with the InterImage system: Major characteristics and recent developments. Proceedings of the GEOBIA 2010: Geographic Object-Based Image Analysis, Ghent, Belgium."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Antunes, R., Happ, P., Bias, E., Brites, R., Costa, G., and Feitosa, R. (2016, January 14\u201316). An Object-Based Image Interpretation Application on Cloud Computing Infrastructure. Proceedings of the GEOBIA 2016: Solutions & Synergies, Enschede, The Netherlands.","DOI":"10.3990\/2.454"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1016\/j.isprsjprs.2013.09.014","article-title":"Geographic Object-Based Image Analysis\u2014Towards a new paradigm","volume":"87","author":"Blaschke","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"859","DOI":"10.1080\/13658810903174803","article-title":"ESP: A tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data","volume":"24","author":"Tiede","year":"2010","journal-title":"Int. J. Geograph. Inf. Sci."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/j.isprsjprs.2013.11.018","article-title":"Automated parameterisation for multi-scale image segmentation on multiple layers","volume":"88","author":"Csillik","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_33","first-page":"4928","article-title":"Segment Optimization and Data-Driven Thresholding for Knowledge-Based Landslide Detection by Object-Based Image Analysis","volume":"49","author":"Martha","year":"2011","journal-title":"Int. J. Geograph. Inf. Sci."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Hofmann, P. (2016). Defuzzification Strategies for Fuzzy Classifications of Remote Sensing Data. Remote Sens., 8.","DOI":"10.3390\/rs8060467"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"4209","DOI":"10.3390\/rs5094209","article-title":"Transferability of Object-Oriented Image Analysis Methods for Slum Identification","volume":"5","author":"Kohli","year":"2013","journal-title":"Remote Sens."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"7359","DOI":"10.1080\/01431161.2010.523727","article-title":"Quantifying the robustness of fuzzy rule sets in object-based image analysis","volume":"32","author":"Hofmann","year":"2011","journal-title":"Int. J. Remote Sens."},{"key":"ref_37","unstructured":"Knoth, C., and Pebesma, E. (2014, January 22). Detecting destruction in conflict areas in Darfur. Proceedings of the GEOBIA 2014: Advancements, Trends and Challenges, Thessaloniki, Greece."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1080\/01431161.2016.1266105","article-title":"Detecting dwelling destruction in Darfur through object-based change analysis of very high-resolution imagery","volume":"38","author":"Knoth","year":"2017","journal-title":"Int. J. Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1127\/1432-8364\/2013\/0169","article-title":"Automated Analysis of Satellite Imagery to provide Information Products for Humanitarian Relief Operations in Refugee Camps - from Scientific Development towards Operational Services","volume":"2013","author":"Tiede","year":"2013","journal-title":"Photogramm. Fernerkund. Geoinf."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"4251","DOI":"10.1080\/0143116021000035021","article-title":"Information extraction from very high resolution satellite imagery over Lukole refugee camp, Tanzania","volume":"24","author":"Giada","year":"2003","journal-title":"Int. J. Remote Sens."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"825","DOI":"10.14358\/PERS.71.7.825","article-title":"Structural damage assessments from Ikonos data using change detection, Object-level Segmentation, and Classification Techniques","volume":"71","author":"Caravaggi","year":"2005","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"2326","DOI":"10.1080\/01431161.2015.1035412","article-title":"Remote sensing of violent conflict: Eyes from above","volume":"36","author":"Witmer","year":"2015","journal-title":"Int. J. Remote Sens."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Alston, P., and Knuckey, S. (2016). The Transformation of Human Rights Fact-Finding, Oxford University Press.","DOI":"10.1093\/acprof:oso\/9780190239480.001.0001"},{"key":"ref_44","unstructured":"Kerle, N., Gerke, M., and Lef\u00e8vre, S. (2016, January 14\u201316). Enabling reproducible OBIA with open-source software in docker containers. Proceedings of the GEOBIA 2016: Solutions & Synergies, Enschede, The Netherlands."},{"key":"ref_45","unstructured":"American Association for the Advancement of Science Appendix A: Darfur, Sudan and Chad Imagery Characteristics. Available online: http:\/\/www.aaas.org\/page\/appendix-darfur-sudan-and-chad-imagery-characteristics."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"5709","DOI":"10.1080\/01431161.2010.496803","article-title":"Earth observation (EO)-based ex post assessment of internally displaced person (IDP) camp evolution and population dynamics in Zam Zam, Darfur","volume":"31","author":"Lang","year":"2010","journal-title":"Int. J. Remote Sens."},{"key":"ref_47","unstructured":"Wei, Y., Zhao, Z., and Song, J. (2004, January 20\u201324). Urban building extraction from high-resolution satellite panchromatic image using clustering and edge detection. Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, Anchorage, AK, USA."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Blaschke, T., Lang, S., and Hay, G.J. (2008). Object-Based Image Analysis. Spatial Concepts for Knowledge-Driven Remote Sensing Applications, Springer.","DOI":"10.1007\/978-3-540-77058-9"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"764","DOI":"10.1109\/36.7708","article-title":"A statistical and geometrical edge detector for SAR images","volume":"26","author":"Touzi","year":"1988","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2015.01.006","article-title":"A critical synthesis of remotely sensed optical image change detection techniques","volume":"160","author":"Tewkesbury","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_51","unstructured":"OTB Development Team The ORFEO Tool Box Software Guide. Available online: https:\/\/www.orfeo-toolbox.org\/\/packages\/OTBSoftwareGuide.pdf."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"2521","DOI":"10.1080\/01431161003698369","article-title":"Feature extraction for Darfur: Geospatial applications in the documentation of human rights abuses","volume":"31","author":"Sulik","year":"2010","journal-title":"Int. J. Remote Sens."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Lang, S., and Blaschke, T. (2007). Landschaftsanalyse Mit GIS, Ulmer.","DOI":"10.36198\/9783838583471"},{"key":"ref_54","unstructured":"Forman, R., and Godron, M. (1986). Landscape Ecology, Wiley."},{"key":"ref_55","unstructured":"QGIS Development Team QGIS Geographic Information System. Available online: http:\/\/qgis.osgeo.org."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"2219","DOI":"10.3390\/ijgi4042219","article-title":"Processing: A Python Framework for the Seamless Integration of Geoprocessing Tools in QGIS","volume":"4","author":"Graser","year":"2015","journal-title":"ISPRS Int. J. Geo-Inf."},{"key":"ref_57","unstructured":"Rossum, G. Python Reference Manual. Available online: http:\/\/www.python.org\/."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Inglada, J., and Christophe, E. (2009, January 12\u201317). The Orfeo Toolbox remote sensing image processing software. Proceedings of the 2009 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa.","DOI":"10.1109\/IGARSS.2009.5417481"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"1991","DOI":"10.5194\/gmd-8-1991-2015","article-title":"System for Automated Geoscientific Analyses (SAGA) v. 2.1.4","volume":"8","author":"Conrad","year":"2015","journal-title":"Geosci. Model Dev."},{"key":"ref_60","unstructured":"Jones, E., Oliphant, T., and Peterson, P. SciPy: Open Source Scientific Tools for Python. Available online: http:\/\/www.scipy.org\/."},{"key":"ref_61","unstructured":"PyQGIS Developer Cookbook Using PyQGIS in standalone scripts. Available online: http:\/\/docs.qgis.org\/testing\/en\/docs\/pyqgis_developer_cookbook\/intro.html#using-pyqgis-in-standalone-scripts."},{"key":"ref_62","unstructured":"N\u00fcst, D. Docker Container for QGIS Models on GitHub. Available online: https:\/\/github.com\/nuest\/docker-qgis-model."},{"key":"ref_63","unstructured":"Loukides, M. (2012). What is DevOps? Infrastructure as Code, O\u2019Reilly Media."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1145\/2723872.2723882","article-title":"An introduction to Docker for reproducible research, with examples from the R environment","volume":"49","author":"Boettiger","year":"2015","journal-title":"ACM SIGOPS Oper. Syst. Rev."},{"key":"ref_65","unstructured":"Stavish, T. Docker for QGIS. Available online: https:\/\/hub.docker.com\/r\/toddstavish\/qgis."},{"key":"ref_66","unstructured":"Stavish, T. Docker for OTB. Available online: https:\/\/hub.docker.com\/r\/toddstavish\/orfeo_toolbox."},{"key":"ref_67","unstructured":"Sutton, T. Docker for QGIS Desktop. Available online: https:\/\/hub.docker.com\/r\/kartoza\/qgis-desktop."},{"key":"ref_68","unstructured":"GNU-Project GNU Bash. Available online: https:\/\/www.gnu.org\/software\/bash\/."},{"key":"ref_69","unstructured":"Wiggins, D.P. XVFB Documentation. Available online: https:\/\/www.x.org\/releases\/X11R7.6\/doc\/man\/man1\/Xvfb.1.xhtml."},{"key":"ref_70","unstructured":"Strobl, J., Blaschke, T., and Griesebner, G. (2000). Angewandte Geographische Informations-Verarbeitung XII, Wichmann."},{"key":"ref_71","unstructured":"N\u00fcst, D., and Knoth, C. Docker-Interimage: Running the Latest InterIMAGE Linux Release in A Docker Container with User Interface. Available online: http:\/\/zenodo.org\/record\/55083."},{"key":"ref_72","doi-asserted-by":"crossref","unstructured":"Antunes, R., Bias, E., Brites, R., and Costa, G. (2016, January 14\u201316). Integration of Open-Source Tools for Object-Based Monitoring of Urban Targets. Proceedings of the GEOBIA 2016: Solutions & Synergies, Enschede, The Netherlands.","DOI":"10.3990\/2.444"},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Passo, D., Bias, E., Brites, R., Costa, G., and Antunes, R. (2016, January 14\u201316). Susceptibility mapping of linear erosion processes using object-based analysis of VHR images. Proceedings of the GEOBIA 2016: Solutions & Synergies, Enschede, The Netherlands.","DOI":"10.3990\/2.434"},{"key":"ref_74","unstructured":"Friis, M. Docker on Windows Server 2016 Technical Preview 5. Available online: https:\/\/blog.docker.com\/2016\/04\/docker-windows-server-tp5\/."},{"key":"ref_75","unstructured":"N\u00fcst, D., and Knoth, C. Data and code for: Reproducibility and Practical Adoption of GEOBIA with Open-Source Software in Docker Containers. Available online: https:\/\/doi.org\/10.5281\/zenodo.168370."},{"key":"ref_76","unstructured":"GNU-Project What is free software?. Available online: https:\/\/www.gnu.org\/philosophy\/free-sw.en.html."},{"key":"ref_77","unstructured":"Marwick, B. 1989-Excavation-Report-Madjebebe. Available online: https:\/\/doi.org\/10.6084\/m9.figshare.1297059.v2."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1186\/1751-0473-8-7","article-title":"Git can facilitate greater reproducibility and increased transparency in science","volume":"8","author":"Ram","year":"2013","journal-title":"Source Code Biol. Med."},{"key":"ref_79","doi-asserted-by":"crossref","unstructured":"N\u00fcst, D., Konkol, M., Schutzeichel, M., Pebesma, E., Kray, C., Przibytzin, H., and Lorenz, J. (2017). Opening the Publication Process with Executable Research Compendia. D-Lib Mag.","DOI":"10.1045\/january2017-nuest"},{"key":"ref_80","unstructured":"Tiede, D., Lang, S., H\u00f6lbling, D., and F\u00fcreder, P. (July, January 29). Transferability of OBIA rulesets for IDP camp analysis in Darfur. Proceedings of the GEOBIA 2010: Geographic Object-Based Image Analysis, Ghent, Belgium."},{"key":"ref_81","doi-asserted-by":"crossref","unstructured":"Baker, M. (2016). Muddled meanings hamper efforts to fix reproducibility crisis. Nat. News.","DOI":"10.1038\/nature.2016.20076"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/3\/290\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:30:46Z","timestamp":1760207446000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/3\/290"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,3,18]]},"references-count":81,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2017,3]]}},"alternative-id":["rs9030290"],"URL":"https:\/\/doi.org\/10.3390\/rs9030290","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,3,18]]}}}