| A new method for crop classification combining time series of radar images and crop phenology information D Bargiel Remote sensing of environment 198, 369-383, 2017 | 269 | 2017 |
| Multi-temporal land-cover classification of agricultural areas in two European regions with high resolution spotlight TerraSAR-X data D Bargiel, S Herrmann Remote sensing 3 (5), 859-877, 2011 | 107 | 2011 |
| Crop-type mapping from a sequence of Sentinel 1 images BK Kenduiywo, D Bargiel, U Soergel International Journal of Remote Sensing 39 (19), 6383-6404, 2018 | 46 | 2018 |
| Capabilities of high resolution satellite radar for the detection of semi-natural habitat structures and grasslands in agricultural landscapes D Bargiel Ecological Informatics 13, 9-16, 2013 | 45 | 2013 |
| Using high-resolution radar images to determine vegetation cover for soil erosion assessments D Bargiel, S Herrmann, J Jadczyszyn Journal of environmental management 124, 82-90, 2013 | 35 | 2013 |
| Higher order dynamic conditional random fields ensemble for crop type classification in radar images BK Kenduiywo, D Bargiel, U Soergel IEEE Transactions on Geoscience and Remote Sensing 55 (8), 4638-4654, 2017 | 32 | 2017 |
| Crop type mapping from a sequence of TerraSAR-X images with dynamic conditional random fields BK Kenduiywo, D Bargiel, U Soergel ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2016 | 19 | 2016 |
| Land use classification with high-resolution satellite radar for estimating the impacts of land use change on the quality of ecosystem services D Bargiel, S Herrmann, P Lohmann, U Sörgel The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2010 | 16 | 2010 |
| Added value of coherent copolar polarimetry at X-band for crop-type mapping M Busquier, JM Lopez-Sanchez, D Bargiel IEEE Geoscience and Remote Sensing Letters 17 (5), 819-823, 2019 | 11 | 2019 |
| Fusion of Sentinel-1 and Sentinel-2 images for classification of agricultural areas using a novel classification approach P Hedayati, D Bargiel IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 11 | 2018 |
| Spatial-temporal conditional random fields crop classification from Terrasar-X images BK Kenduiywoa, D Bargiel, U Soergel ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2015 | 10 | 2015 |
| Biodiversity and Socio-economic implications of the use of abandoned agricultural land for future biomass production in Central and Eastern Europe (CEE) S Miyake, JT Mizgajski, D Bargiel, K Wowra, L Schebek Proc. 24th European Biomass Conf. and Exhibition (EUBCE), 1422-30, 2016 | 6 | 2016 |
| Synergy of optical and synthetic aperture radar data for early-stage crop yield estimation: a case study over a state of Germany P Ghosh, D Mandal, S Wilfling, J Hollberg, D Bargiel, A Bhattacharya Geocarto International 37 (25), 10743-10766, 2022 | 5 | 2022 |
| FabSpaces at ImageCLEF 2017-Population Estimation (Remote) Task H Arenas, A Baker, D Bargiel, M Becker, A Bialczak, F Carbone, ... International Conference of the CLEF Association, CLEF 2017 Labs Working …, 2017 | 5 | 2017 |
| Sentinel-2 Satellite Imagery based Population Estimation Strategies at FabSpace 2.0 Lab Darmstadt. MB Islam, M Becker, D Bargiel, KR Ahmed, P Duzak, NG Emana CLEF (Working Notes), 2017 | 4 | 2017 |
| 'Underutilised'agricultural land: its definitions, potential use for future biomass production and its environmental implications S Miyake, D Bargiel EGU General Assembly Conference Abstracts, 626, 2017 | 2 | 2017 |
| Design Study of a Camera System for Earth Observation as a Payload on the Small Satellite Romeo D Starzmann, T Loeffler, J Petri, D Bargiel, D Eidmann, M Denk, C Conrad, ... | | 2024 |
| ‘Underutilised’agricultural land: its definitions, potential use for biomass production and its environmental implications S Miyake, D Bargiel | | 2017 |
| Klassifikation von Feldfrüchten anhand von Zeitreihen von SAR-und Multispektrabildern der Sentinelmissionen: Schlussbericht: Laufzeit des Vorhabens: 1. Oktober 2013-31 … D Bargiel Technische Universität Darmstadt, Institut für Geodäsie, Fachgebiet …, 2016 | | 2016 |
| Classification of crops in different European regions based on TerraSAR-X data D Bargiel, F Neuendorf, M Schlund, U Soergel EUSAR 2014; 10th European Conference on Synthetic Aperture Radar, 1-4, 2014 | | 2014 |
