Geosimulation of urban growth and demographic decline in the Ruhr: a case study for 2025 using the artificial intelligence of cells and agents. - Andreas Rienow; Dirk Stenger (J. Geogr. Syst., 2014)

Supporting SLEUTH - Enhancing a cellular automaton with support vector machines for urban growth modeling. - Andreas Rienow; Roland Goetzke (Comput. Environ. Urban Syst., 2015)

In Memoriam: Gunter Menz. - Frank Thonfeld; Andreas Rienow; Olena Dubovyk; Ayman Abdel-Hamid; Agatha Akpeokhai; Esther Amler; Georg Bareth; Amit Kumar Basukala; Morton J. Canty; Manfred Denich; Tomasz Dobrzeniecki; Jessica Ferner; et al. (Remote. Sens., 2017)

Satellite-Borne and Iss-Borne Remote Sensing in School Lessons: Lessons Learned and New Mediation Ways. - Andreas Rienow; Henryk Hodam; Claudia Lindner 002; Annette Ortwein; Johannes Schultz 003; Fabian Selg (IGARSS, 2018)

Urban Development in West Africa - Monitoring and Intensity Analysis of Slum Growth in Lagos: Linking Pattern and Process. - Olabisi S. Badmos; Andreas Rienow; Daniel Callo-Concha; Klaus Greve; Carsten Jürgens (Remote. Sens., 2018)

Using ISS Earth Observation in Augmented and Virtual Reality to Reach the Next Generation of the Stem Workforce. - Claudia Lindner 002; Annette Ortwein; Henryk Hodam; Carsten Jürgens; Johannes Schultz 003; Fabian Selg; Andreas Rienow (IGARSS, 2019)

Simulating slum growth in Lagos: An integration of rule based and empirical based model. - Olabisi S. Badmos; Andreas Rienow; Daniel Callo-Concha; Klaus Greve; Carsten Jürgens (Comput. Environ. Urban Syst., 2019)

Bringing Earth Observation to Schools with Digital Integrated Learning Environments. - Henryk Hodam; Andreas Rienow; Carsten Jürgens (Remote. Sens., 2020)

Urban-Rural Gradients Predict Educational Gaps: Evidence from a Machine Learning Approach Involving Academic Performance and Impervious Surfaces in Ecuador. - Fabián Santos-García; Karina Elizabeth Delgado Valdivieso; Andreas Rienow; Joaquín Gairín (ISPRS Int. J. Geo Inf., 2021)

Monitoring of Urban Sprawl and Densification Processes in Western Germany in the Light of SDG Indicator 11.3.1 Based on an Automated Retrospective Classification Approach. - Gohar Ghazaryan; Andreas Rienow; Carsten Oldenburg; Frank Thonfeld; Birte Trampnau; Sarah Sticksel; Carsten Jürgens (Remote. Sens., 2021)

Mapping Land Surface Temperature Developments in Functional Urban Areas across Europe. - Anna Hellings; Andreas Rienow (Remote. Sens., 2021)

Creating and Testing Explainer Videos for Earth Observation. - Henryk Hodam; Andreas Rienow; Carsten Jürgens (Remote. Sens., 2021)

Modeling urban regions: Comparing random forest and support vector machines for cellular automata. - Andreas Rienow; Ahmed M. Mustafa; Leonie Krelaus; Claudia Lindner 002 (Trans. GIS, 2021)

Detecting land use and land cover change on Barbuda before and after the Hurricane Irma with respect to potential land grabbing: A combined volunteered geographic information and multi sensor approach. - Andreas Rienow; Jan Schweighöfer; Torben Dedring; Marcus Goebel; Valerie Graw (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Potentials of Low-Budget Microdrones: Processing 3D Point Clouds and Images for Representing Post-Industrial Landmarks in Immersive Virtual Environments. - Marco Weißmann; Dennis Edler; Andreas Rienow (Frontiers Robotics AI, 2022)

Development of an App and Teaching Concept for Implementation of Hyperspectral Remote Sensing Data into School Lessons Using Augmented Reality. - Claudia Lindner 002; Andreas Rienow; Karl-Heinz Otto; Carsten Jürgens (Remote. Sens., 2022)

Modeling Future Urban Expansion based on Global Settlement Products - A Comparative Study. - Andreas Rienow (JURSE, 2023)

Exploring the Use of Orthophotos in Google Earth Engine for Very High-Resolution Mapping of Impervious Surfaces: A Data Fusion Approach in Wuppertal, Germany. - Jan-Philipp Langenkamp; Andreas Rienow (Remote. Sens., 2023)

Automatization and evaluation of a remote sensing-based indicator for wetland health assessment in East Africa on national and local scales. - Stefanie Steinbach; Esther Hentschel; Konrad Hentze; Andreas Rienow; Viviane Umulisa; Sander Jaap Zwart; Andrew Nelson 003 (Ecol. Informatics, 2023)

OER4SDI: Open Educational Resources for Spatial Data Infrastructures. - Carsten Keßler; Albert Remke; Henryk Hodam; Fabian Przybylak; Andreas Rienow (AGILE Conf., 2024)

Low-Cost Sensors and Multitemporal Remote Sensing for Operational Turbidity Monitoring in an East African Wetland Environment. - Stefanie Steinbach; Andreas Rienow; Martin Wainaina Chege; Niels Dedring; Wisdom Kipkemboi; Kuria Bartholomew Thiong'o; Sander Jaap Zwart; Andrew Nelson 003 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Using a deep learning method to establish 500 m resolution non-saturation nighttime light time series from 1992 to 2022. - Wei Guo; Yunxuan Zhao; Christopher C. M. Kyba; Xuesheng Zhao; Ximin Cui; Jinke Liu; Xueqian Gao; Mengjun Chao; Xiaoling Wei; Haitao Liu; Andreas Rienow (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Predicting turbidity dynamics in small reservoirs in central Kenya using remote sensing and machine learning. - Stefanie Steinbach; Anna Bartels; Andreas Rienow; Kuria Bartholomew Thiong'o; Sander Jaap Zwart; Andrew Nelson 003 (Int. J. Appl. Earth Obs. Geoinformation, 2025)