You are here: Home Research Publications 2016

2016

Peer reviewed:

  • Liu, D., Cao, C., Dubovyk, O., Tian, R., Chen, W., Zhuang, Q., Zhao, Y. & G. Menz (2016): Using fuzzy analytic hierarchy process for spatio-temporal analysis of eco-environmental vulnerability change during 1990–2010 in Sanjiangyuan region, China. Ecological Indicators.
  • Muro, J., Canty, M., Conradsen, K., Hüttich, C., Nielsen, A., Skriver, H., Remy, F., Strauch, A., Thonfeld, F. & G. Menz (2016): ‘Short-Term Change Detection in Wetlands Using Sentinel-1 Time Series’, Remote Sensing, 2016, 8, 10, p. 795
  • Ghazaryan, G.; Dubovyk, O.; Kussul, N. & G. Menz (2016): Towards an improved environmental understanding of land surface dynamics in Ukraine based on multi-source remote sensing time-series datasets from 1982 to 2013. Remote Sensing 2016, 8, 617.
  • Dubovyk, O.; Landmann, T.; Dietz, A. & G. Menz (2016): Quantifying the impacts of environmental factors on vegetation dynamics over climatic and management gradients of central asia. Remote Sensing 2016, 8, 600.
  • Graw, V., Oldenburg, C. & O. Dubovyk (2016): Bush Encroachment Mapping for Africa: Multi-Scale Analysis with Remote Sensing and GIS (July 2016). ZEF - Center for Development Research University of Bonn, Discussion Paper No. 218. Available at SSRN: http://ssrn.com/abstract=2807811
  • Hentze, K., Thonfeld, F. & G. Menz (2016): Evaluating Crop Area Mapping from MODIS Time-Series as an Assessment Tool for Zimbabwe’s “Fast Track Land Reform Programme”. PLoS ONE 11(6): e0156630. doi: 10.1371/journal.pone.0156630
  • Thonfeld, F., Feilhauer, H., Braun, M. & G. Menz (2016): Robust Change Vector Analysis (RCVA) for multi-sensor very high resolution optical satellite data. International Journal of Applied Earth Observation and Geoinformation, 50, 131-140, ISSN 0303-2434, http://dx.doi.org/10.1016/j.jag.2016.03.009.
  • Kirimi, F. , Kuria, D. , Thonfeld, F. , Amler, E. , Mubea, K. , Misana, S. and Menz, G. (2016): Influence of Vegetation Cover on the Oh Soil Moisture Retrieval Model: A Case Study of the Malinda Wetland, Tanzania. Advances in Remote Sensing, 5, 28-42. doi: 10.4236/ars.2016.51003.


Books and Book Chapter:

 


Proceedings:

    Document Actions