Wednesday 25 Jan 2017
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Journal Papers


  • Leichtle, T., Geiß, C., Wurm, M., Lakes, T., Taubenboeck, H. (2017). Unsupervised change detection in VHR remote sensing imagery – an object-based clustering approach in a dynamic urban environment. International Journal of Applied Earth Observation and Geoinformation. 54. pp.15-27.


  • Wohlfart, C., Kuenzer, C., Cui, C. and Liu, G. (2016). Socio-ecological challanges in the Yellow River basin (China): a review. Environmental Earth Sciences. 75:1066.
  • Chu, L., Huang C., Liu, Q.-S., Liu, G. (2016): Estimation of winter phenology under the influence of cumulative temperature and soil salinity in the Yellow River Delta, China, using MODIS time-series data. Int. Journal Rem. Sens. 37 (10), 2211-2232, doi:10.1080/01431161.2015.11311871.
  • Clauss, K., Yan, H. and Kuenzer, C. (2016): Mapping Paddy Rice in China in 2002, 2005, 2010 and 2014 with MODIS Time Series. Remote Sens. 8 (5), doi:10.3390/rs8050434.
  • Wohlfart, C., Liu, G., Huang, C. and Kuenzer, C. (2016): A River Basin over the Course of Time: Multi-Temporal Analyses of Land Surface Dynamics in the Yellow River Basin (China) Based on Medium Resolution Remote Sensing Data. Remote Sens. 8 (3), doi:10.3390/rs8030186.
  • Ottinger, M., Clauss, K. and Kuenzer, C. (2016): Aquaculture: Relevance, Distribution, Impacts and Spatial Assessments – A Review Ocean & Coastal Management, 119, p. 244-266. DOI: 10.1016/j.ocecoaman.2015.10.015.
  • Wolters, M.L., Zhongchang, S., Chong, H., Kuenzer, C. (2016): Environmental awareness and vulnerability in the Yellow River Delta: Results based on a comprehensive household survey. Ocean and Coastal Management. 120, 1-10.


  • Marmanis, D., Datcu M., Esch, T., Stilla, U. (2015): Deep-Learning Earth Observation Classification Using ImageNet Pre-trained Networks. IEEE Geoscience and Remote Sensing Letters, 13 (1), DOI:10.1109/LGRS.2015.2499239.
  • Kuenzer, C.; Klein, I.; Ullmann, T.; Georgiou, E.F.; Baumhauer, R.; Dech, S. (2015): Remote Sensing of River Delta Inundation: Exploiting the Potential of Coarse Spatial Resolution, Temporally-Dense MODIS Time Series. Remote Sens., 7, 8516-8542.
  • Wolters, M.L.; Kuenzer, C. (2015): Vulnerability assessments of coastal river deltas - categorization and review. Journal of Coastal Conservation, 19 (3), 345-368, DOI:10.1007/s11852-015-0396-6
  • Zhou Yuanyuan, Huang He Qing, Nanson, Gerald C., Huang Chong, and Liu Gaohuan (2015): Progradation of the Yellow (Huanghe) River delta in response to the implementation of a basin-scale water regulation program. Geomorphology, 243 (2015), 65-74, DOI: 10.1016/j.geomorph.2015.04.023
  • Zhou Yuanyuan, Shi Changxing, Fan Xiaoli, and Shao Wenwei (2015): The influence of climate change and anthropogenic activities on annual runoff of Huangfuchuan basin in northwest China. Theoretical and Applied Climatology, 120 (2015), 137-146, DOI: 10.1007/s00704-014-1160-9
  • Liu Qingsheng, Liu Gaohuan, Huang Chong, and Xie Chuanjie (2015): Comparison of tasselled cap transformations based on the selective bands of Landsat 8 OLI TOA reflectance images. International Journal of Remote Sensing, 36(2), 417-441.
  • Yang Lin, Huang Chong, Liu Gaohuan, Liu Jing, and Zhu A-xing (2015): Mapping Soil Salinity Using a Similarity-based Prediction Approach: A Case Study in Huanghe River Delta, China. Chin. Geogra. Sci., DOI: 10.1007/s11769-015-0740-7.


  • Kuenzer, C., Ottinger, M., Liu, G., Sun, B., Baumhauer, R., and Dech, S. (2014): Earth Observation-based Coastal Zone Monitoring of the Yellow River Delta: Dynamics in China’s Second Largest Oil Producing Region over four Decades. Applied Geography 10/2014; 55C:92-107. DOI: 10.1016/j.apgeog.2014.08.015.
  • Kuenzer, C., Ottinger, M., Wegmann, M., Guo, H., Wang, C., Zhang, J., Dech, S., and Wikelski, M. (2014): Earth Observation Satellite Sensors for Biodiversity Monitoring: Potentials and Bottlenecks Interational Journal of Remote Sensing, 35 (18), p. 6599-6647. DOI: 10.1080/01431161.2014.964349.
  • Q.S. Liua, G.H. Liua, C. Huanga, C.J. Xiea (2014) Using SPOT 5 fusion-ready imagery to detect Chinese tamarisk (saltcedar) with mathematical morphological method. Digital Earth, Volume 3 Issue 7, p. 217-228. DOI: 10.1080/17538947.2012.671379.
  • Jia, L. and Bao, C. (2014): Residential fresh water demand in China: A panel data analysis. ZEF Working Paper Series 126. University of Bonn.
  • Huang Chong, Li Yafei, Liu Gaohuan, Zhang Hailong, Liu Qingsheng (2014): Recent climate variability and its impact on precipitation, temperature and vegetation dynamics in the Lancang River headwater area of China. International Journal of Remote Sensing , 35(8): 2822–2834. DOI: 10.1080/01431161.2014.890303.
  • Liu Qingsheng, Huang Chong, Liu Gaohuan, Chai Siyue, Chu Lin, Jing Xin. (2014): Planting Area Extraction of A Crop Key Growth Period in Wudi County Based on HJ Satellite Data. Chinese Agricultural Science Bulletin, 30(26):284-290. (in Chinese).
  • Liu Qingsheng,Zhang Yunjie,Liu Gaohuan,Huang Chong,Chai Siyue. (2014): Comparison of Different Spatial Resolution Images of ZY-3 Satellite to Patch Vegetation Detection. Bulletin of Surveying and Mapping, (11): 16-20. (in Chinese).


  • Kuenzer, C. (2013): Fernerkundung ganz nah: DLR-Forscherinnen und -forscher reisen in die Gebiete ihrer Satellitenaufnahmen – Am Gelben Fluss: Spagat zwischen Wirtschaft und Umwelt. DLR-Magazin Nr. 140, Seiten 32-38, ISSN 2190- 0094.
  • Ottinger, M., Kuenzer, C., Liu, G., Wang, S. and S. Dech (2013):
    Monitoring land cover dynamics in the Yellow River Delta from 1995 to 2010 based on Landsat 5 TM. Applied Geography, 44, p. 53-68. DOI: 10.1016/j.apgeog.2013.07.003.
  • Song Chuangye, Huang Chong, Liu Huiming (2013): Predictive Vegetation Mapping Approach Based on Spectral Data, DEM and Generalized Additive Models. Chin. Geogra. Sci., 23(3): 331-343.


  • Huth, J., Kuenzer, C., Wehrmann, T., Gebhardt, S. and Dech, S. (2012): Land Cover and Land Use Classification with TWOPAC: towards Automated Processing for Pixel- and Object-Based Image Classification. Remote Sensing 4(9), pp. 2530-2553.
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