Adoption and future perspective of precision farming in Germany: results of several surveys of different agricultural target groups M Reichardt, C Juergens Precision Agriculture 10 (1), 73-94, 2009 | 276 | 2009 |
Remote sensing of urban areas D Maktav, FS Erbek, C Juergens International journal of remote sensing 26 (4), 655-659, 2005 | 256 | 2005 |
DIssemination of precision farming in Germany: acceptance, adoption, obstacles, knowledge transfer and training activities M Reichardt, C Juegens, U Klöble, J Hueter, K Moser Precision Agriculture 10 (6), 535-545, 2009 | 186 | 2009 |
The modified normalized difference vegetation index (mNDVI) a new index to determine frost damages in agriculture based on Landsat TM data C Juergens International Journal of Remote Sensing 18 (17), 3583-3594, 1997 | 155 | 1997 |
Remote sensing of urban and suburban areas T Rashed, C Jürgens Springer (Remote Sensing and Digital Image Processing; 10), 2010 | 143 | 2010 |
Augmented Reality applications as digital experiments for education–An example in the Earth-Moon System C Lindner, A Rienow, C Jürgens Acta Astronautica 161, 66-74, 2019 | 86 | 2019 |
Seasonal multitemporal land-cover classification and change detection analysis of Bochum, Germany, using multitemporal Landsat TM data L Henits, C Juergens, L Mucsi International journal of remote sensing 37, 2016 | 63 | 2016 |
Urban development in West Africa—Monitoring and intensity analysis of slum growth in Lagos: Linking pattern and process OS Badmos, A Rienow, D Callo-Concha, K Greve, C Jürgens Remote Sensing 10 (7), 1044, 2018 | 62 | 2018 |
Trustworthy COVID-19 mapping: Geo-spatial data literacy aspects of choropleth maps C Juergens KN-journal of cartography and geographic information 70 (4), 155-161, 2020 | 55 | 2020 |
Soil erosion assessment by means of LANDSAT-TM and ancillary digital data in relation to water quality C Juergens, MW Fander Soil technology 6 (3), 215-223, 1993 | 49 | 1993 |
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 G Ghazaryan, A Rienow, C Oldenburg, F Thonfeld, B Trampnau, ... Remote Sensing 13 (9), 1694, 2021 | 39 | 2021 |
Soil erosion assessment and simulation by means of SGEOS and ancillary digital data C Juergens, MW Fander International Journal of Remote Sensing 14 (15), 2847-2855, 1993 | 39 | 1993 |
Determinants of residential location choices by slum dwellers in Lagos megacity OS Badmos, D Callo-Concha, B Agbola, A Rienow, B Badmos, K Greve, ... Cities 98, 102589, 2020 | 38 | 2020 |
Bringing earth observation to schools with digital integrated learning environments H Hodam, A Rienow, C Jürgens Remote Sensing 12 (3), 345, 2020 | 37 | 2020 |
Simulating slum growth in Lagos: An integration of rule based and empirical based model OS Badmos, A Rienow, D Callo-Concha, K Greve, C Jürgens Computers, environment and urban systems 77, 101369, 2019 | 33 | 2019 |
Urban and suburban areas as a research topic for remote sensing M Netzband, C Juergens Remote sensing of urban and suburban areas (Remote Sensing and Digital …, 2010 | 31 | 2010 |
Foreword to the special issue on “human settlements: A global remote sensing challenge” P Gamba, P Du, C Juergens, D Maktav IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2011 | 30 | 2011 |
Automated detection of field monuments in digital terrain models of Westphalia using OBIA MF Meyer, I Pfeffer, C Jürgens Geosciences 9 (3), 109, 2019 | 23 | 2019 |
Land use/ land cover classification for applied urban planning - the challenge of automation H Thunig, N Wolf, S Naumann, A Siegmund, C Juergens, C Uysal, ... JURSE 2011, 229-232, 2011 | 22 | 2011 |
Augmented reality and virtual reality applications based on satellite-borne and ISS-borne remote sensing data for school lessons A Rienow, C Lindner, T Dedring, H Hodam, A Ortwein, J Schultz, F Selg, ... PFG–Journal of Photogrammetry, Remote Sensing and Geoinformation Science 88 …, 2020 | 21 | 2020 |