You are here: Home Research Publications 2014


    Peer reviewed:
    • Conrad, C., S. Dech, O. Dubovyk, S. Fritsch, D. Klein, F. Löw, G. Schorcht & J. Zeidler (2014): Derivation of temporal windows for accurate crop discrimination in heterogeneous croplands of Uzbekistan using multitemporal RapidEye images. Computers and Electronics in Agriculture 103:63-74.
    • Dubovyk, O., Menz, G. & A. Khamzina (acceped): Land suitability assessment for afforestation with Elaeagnus Angustifolia L. in degraded agricultural areas of the lower Amu Darya river basin. Land Degradation & Development.
    • Kuria, D. N., Menz, G., Misana, S., Mwita, E., Thamm, H.-P., Alvarez, M., Mogha, N., Becker, M. & H. Oyieke (2014): Seasonal Vegetation Changes in the Malinda Wetland Using Bi-Temporal, Multi-Sensor, Very High Resolution Remote Sensing Data Sets. Advances in Remote Sensing, Vol. 3, No. 1. pp. 33-48.
    • Landmann T. & O. Dubovyk (2014): Spatial analysis of human-induced vegetation productivity decline over eastern Africa using a decade (2001–2011) of medium resolution MODIS time-series data. International Journal of Applied Earth Observation and Geoinformation 33:76-82. DOI:
    • Mubea, K., Goetzke, R. & G. Menz (2014): Applying cellular automata for Simulating and Assessing Urban Growth Scenario Based in Nairobi, Kenya. International Journal of Advanced Computer Science and Applications, Vol. 5, No. 2. pp. 1-13.
    • Mubea, K. & G. Menz (2014) Spatial Effects of Varying Model Coefficients in Urban Growth Modeling in Nairobi, Kenya. Journal of Geographic Information System6, 636-652. link: 10.4236/jgis.2014.66053.
    • Rienow, A., Stenger, D. & Gunter Menz (2014): Sprawling Cities and Shrinking Regions - Forecasting Urban Growth in the Ruhr for 2025 by Coupling Cells and Agents. Erdkunde, Vol. 68, No. 2, pp. 85-107.
    • Tüshaus, J., O. Dubovyk, A. Khamzina & G. Menz (2014): Comparison of Medium Spatial Resolution ENVISAT-MERIS and Terra-MODIS Time Series for Vegetation Decline Analysis: A Case Study in Central Asia. Remote Sensing 2014, 6, 5238-5256.

      Books and Book Chapter:

    • Canty, M. J. (2014): Image Analysis, Classification and Change Detection in Remote Sensing: with Algorithms for ENVI/IDL and Python. Third Edition. CRC Press, Boca Raton, London, New York, 527 pp.
    • Graw, V. & C. Husman (2014): Mapping Marginality Hotspots. In: von Braun, J. & F. Gatzweiler (eds): Marginality. Addressing the Nexus of Poverty, Exclusion and Ecology. Springer, pp. 69-83.
    • Hecheltjen, A., F. Thonfeld & G. Menz (2014): Recent advances in remote sensing change detection - a review. In: Manakos, I. & M. Braun (Eds.): Land use and land cover mapping in Europe. Practices and trends. Springer Dordrecht, Heidelberg, New York, London, 145-178.

    • Proceedings:

Document Actions