TU Darmstadt / ULB / TUbiblio

Browse by Person

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: No Grouping | Item Type | Date | Language
Number of items: 11.

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, pp. 1-5. IEEE, ISSN 1558-0571,
DOI: 10.1109/LGRS.2019.2933738,

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, pp. 369-383. RSE, DOI: 10.1016/j.rse.2017.06.022,

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), pp. 4638-4654. IEEE, [Article]

Kenduiywo, B. K. ; Bargiel, D. ; Soergel, U. (2016):
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, pp. 59-66. ISPRS, [Article]

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, 6-9 June 2016, [Conference or Workshop Item]

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, 25-27 March 2015, [Conference or Workshop Item]

Bargiel, D. ; Neuendorf, F. ; Schlund, M. ; Soergel, U. (2014):
Classification of crops in different European regions based on TerraSAR-X data.
pp. 1-4, [Conference or Workshop Item]

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, pp. 9-16. Elsevier, [Article]

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, pp. 82-90. Academic Press, [Article]

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), pp. 859-877. Molecular Diversity Preservation International, [Article]

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.
na, [Conference or Workshop Item]

This list was generated on Tue May 30 00:54:52 2023 CEST.