Prof. Dr.-Ing. Damian Bargiel

Damian Bargiel

Prof. Dr.-Ing. Damian Bargiel

Organisationseinheit(en):Institut für Landschaftsplanung und NaturschutzProfessur für Angewandte Geoinformatik in der Landschaftsplanung

Kontaktdaten:
Tel.: +49 6722 502 656
E-Mail: Damian.Bargiel(at)hs-gm.de

Postanschrift:Von-Lade-Straße 1
D-65366 Geisenheim

Besucheranschrift: Gebäude 7100
Raum 01.04
Rüdesheimerstraße 18
65366 Geisenheim

Starzmann D., Loeffler T., Petri J., Bargiel D., Eidmann D., Denk M., Conrad C., Klinker S. (2024): Design study of a camera system for Earth observation as a payload on the small satellite ROMEO. CEAS Space Journal DOI: 10.1007/s12567-024-00582-8

Ghosh P., Mandal D., Wilfling S., Hollberg J., Bargiel D., Bhattacharya A. (2022): Synergy of optical and synthetic aperture radar data for early-stage crop yield estimation: a case study over a state of Germany. Geocarto international 37 (25) S. 10743 - 10766. DOI: 10.1080/10106049.2022.2039306

Busquier M., Lopez-Sanchez J.M., Bargiel D. (2020): Added Value of Coherent Copolar Polarimetry at X-Band for Crop-Type Mapping. IEEE geoscience and remote sensing letters 17 (5) S. 819 - 823. DOI: 10.1109/LGRS.2019.2933738

Kenduiywo B.K., Bargiel D., Soergel U. (2018): Crop-type mapping from a sequence of Sentinel 1 images. International journal of remote sensing 39 (19) S. 6383 - 6404. DOI: 10.1080/01431161.2018.1460503

Hedayati P., Bargiel D. (2018): Fusion Of Sentinel-1 And Sentinel-2 Images For Classification Of Agricultural Areas Using A Novel Classification Approach. S. 6643 - 6646.
978-1-5386-7150-4

Bargiel D. (2017): A new method for crop classification combining time series of radar images and crop phenology information. Remote sensing of environment 198 S. 369 - 383. 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. IEEE Transactions on Geoscience and Remote Sensing 55 (8) S. 4638 - 4654. DOI: 10.1109/TGRS.2017.2695326

Kenduiywo B.K., Bargiel D., Soergel U. (2017): Higher order dynamic conditional random fields ensemble for crop type classification in radar images. IEEE Transactions on Geoscience and Remote Sensing 55 (8) S. 4638 - 4654. DOI: 10.1109/TGRS.2017.2695326

Miyake S., Mizgajski J.T., Bargiel D., Wowra K., Schebek L. (2016): Biodiversity and Socio-economic implications of the use of abandoned agricultural land for future biomass production in Central and Eastern Europe (CEE). Florence ETA-Florence Renewable Energies S. 1422 - 1430. DOI: 10.5071/24thEUBCE2016-4DO.8.4
978-88-89407-165

Miyake S., Mizgajski J.T., Bargiel D., Wowra K., Schebek L. (2016): Biodiversity And Socio-Economic Implications Of The Use Of Abandoned Agricultural Land For Future Biomass Production In Central And Eastern Europe (CEE). Florence ETA-Florence Renewable Energies S. 1422 - 1430. DOI: 10.5071/24thEUBCE2016-4DO.8.4
978-88-89407-165

Kenduiywo B.K., Bargiel D., Soergel U. (2016): Crop Type Mapping From A Sequence Of Terrasar-X Images With Dynamic Conditional Random Fields. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 3 (7) S. 59 - 66. DOI: 10.5194/isprsannals-III-7-59-2016

Kenduiywo B., Bargiel D., Soergel U. (2016): Crop type mapping from a sequence of TerraSAR-X images with dynamic conditional random fields. Copernicus GmbH (Copernicus Publications) S. 59 - 66. DOI: 10.5194/isprs-annals-III-7-59-2016

Kempa D., Bargiel D. (2016): Informationstechnologie in der Landschaftsplanung. 978-3-642-39854-4

Kenduiywo B., Bargiel D., Soergel U. (2015): Spatial-temporal conditional random fields crop classification from Terrasar-X images. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2 (3) S. 79 - 86. DOI: 10.5194/isprsannals-II-3-W4-79-2015

Kenduiywo B.K., Bargiel D., Soergel U. (2015): Spatial-Temporal Conditional Random Fields Crop Classification From Terrasar-X Images. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W4 S. 79 - 86. DOI: 10.5194/isprsannals-II-3-W4-79-2015

Bargiel D., Neuendorf F., Schlund M., Soergel U. (2014): Classification of crops in different European regions based on TerraSAR-X data. Berlin ; Offenbach
9783800736072

Bargiel D., Neuendorf F., Schlund M., Sorgel U. (2014): Classification of crops in different European regions based on TerraSAR-X data. Berlin ; Offenbach
9783800736072

Bargiel D. (2013): Capabilities of high resolution satellite radar for the detection of semi-natural habitat structures and grasslands in agricultural landscapes. Ecological Informatics 13 S. 9 - 16. DOI: 10.1016/j.ecoinf.2012.10.004

Bargiel D. (2013): Capabilities of high resolution satellite radar for the detection of semi-natural habitat structures and grasslands in agricultural landscapes. Ecological Informatics 13 S. 9 - 16. DOI: 10.1016/j.ecoinf.2012.10.004

Bargiel D. (2013): Klassifikation von Agrarflächen auf Basis von hoch aufgelösten Radarbildern des Satelliten TerraSAR-X als Grundlage zur räumlichen Abbildung von Ökosystemdienstleistungen.

Bargiel D., Herrmann S., Jadczyszyn J. (2013): Using high-resolution radar images to determine vegetation cover for soil erosion assessments. Journal of Environmental Management 124 S. 82 - 90. DOI: 10.1016/j.jenvman.2013.03.049

Bargiel D., Herrmann S., Jadczyszyn J. (2013): Using high-resolution radar images to determine vegetation cover for soil erosion assessments. Journal of Environmental Management 124 S. 82 - 90. DOI: 10.1016/j.jenvman.2013.03.049

Bargiel D., Herrmann S. (2011): Multi-Temporal Land-Cover Classification of Agricultural Areas in Two European Regions with High Resolution Spotlight TerraSAR-X Data. Remote Sensing 3 S. 859 - 877. DOI: 10.3390/rs3050859

Bargiel D., Herrmann S. (2011): Multi-temporal land-cover classification of agricultural areas in two European regions with high resolution spotlight TerraSAR-X data. Remote Sensing 3 (5) S. 877 - 877. DOI: 10.3390/rs3050859

Bargiel D., Herrmann S., Lohmann P., Sörgel U. (2010): Land Use Classification With High-Resolution Satellite Radar For Estimating The Impacts Of Land Use Change On The Quality Of Ecosystem Services. Copernicus Publications S. 68 - 73.

Bargiel D., Herrmann S., Lohmann P., Sorgel U. (2010): Land Use Classification With High-Resolution Satellite Radar For Estimating The Impacts Of Land Use Change On The Quality Of Ecosystem Services. Copernicus Publications S. 68 - 73.