Deutsch

Kenduiywo, B. K. ; Bargiel, D. ; Soergel, U. (2017)
Higher Order Dynamic Conditional Random Fields Ensemble for Crop Type Classification in Radar Images.
In: IEEE Transactions on Geoscience and Remote Sensing (TGRS), 55 (8)
doi: 10.1109/TGRS.2017.2695326
Artikel, Bibliographie

Kenduiywo, B. K. ; Bargiel, D. ; Soergel, U. (2016)
CROP TYPE MAPPING FROM A SEQUENCE OF TERRASAR-X IMAGES WITH DYNAMIC CONDITIONAL RANDOM FIELDS.
In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, , 2016 XXIII ISPRS Congress, 12–19 July 2016, Prague, Czech Republic, 3/7
doi: 10.5194/isprsannals-III-7-59-2016
Artikel, Bibliographie

Englisch

Busquierand, M. ; Lopez-Sanchez, Juan M. ; Bargiel, D. (2019)
Added Value of Coherent Copolar Polarimetry at X-Band for Crop-Type Mapping.
In: IEEE Geoscience and Remote Sensing Letters
doi: 10.1109/LGRS.2019.2933738
Artikel, Bibliographie

Bargiel, D. (2017)
A new method for crop classification combining time series of radar images and crop phenology information.
In: Remote Sensing of Environment, 198
doi: 10.1016/j.rse.2017.06.022
Artikel, Bibliographie

Miyake, S. ; Mizgajski, J. ; Bargiel, D. ; Wowra, Karoline ; Schebek, Liselotte (2016)
Biodiversity and socio-economic implications of the use of abandoned agricultural land for future biomass production in central and eastern europe (CEE).
24th European Biomass Conference and Exhibition. Amsterdam, The Netherlands (06.06.2016-09.06.2016)
Konferenzveröffentlichung, Bibliographie

Kenduiywo, B. K. ; Bargiel, D. ; Soergel, U. (2015)
Spatial-temporal conditional random fields crop classification from terrasar-x images.
PIA15+HRIGI15 – Joint ISPRS conference 2015, 25–27 March 2015, München. . München (25.03.2015-27.03.2015)
doi: 10.5194/isprsannals-II-3-W4-79-2015
Konferenzveröffentlichung, Bibliographie

Bargiel, D. ; Neuendorf, F. ; Schlund, M. ; Soergel, U. (2014)
Classification of crops in different European regions based on TerraSAR-X data.
Konferenzveröffentlichung, Bibliographie

Bargiel, D. (2013)
Capabilities of high resolution satellite radar for the detection of semi-natural habitat structures and grasslands in agricultural landscapes.
In: Ecological Informatics, 13
Artikel, Bibliographie

Bargiel, D. ; Herrmann, S. ; Jadczyszyn, J. (2013)
Using high-resolution radar images to determine vegetation cover for soil erosion assessments.
In: Journal of environmental management, 124
Artikel, Bibliographie

Bargiel, D. ; Herrmann, S. (2011)
Multi-temporal land-cover classification of agricultural areas in two European regions with high resolution spotlight TerraSAR-X data.
In: Remote Sensing, 3 (5)
Artikel, Bibliographie

Bargiel, D. ; Herrmann, S. ; Soergel, U. ; Lohmann, P. (2010)
Land use classification with high resolution satellite radar for estimating the impacts of land use change on the quality of ecosystem services.
Konferenzveröffentlichung, Bibliographie