| Best accuracy land use/land cover (LULC) classification to derive crop types using multitemporal, multisensor, and multi-polarization SAR satellite images C Hütt, W Koppe, Y Miao, G Bareth Remote sensing 8 (8), 684, 2016 | 138 | 2016 |
| Rice monitoring with multi-temporal and dual-polarimetric TerraSAR-X data W Koppe, ML Gnyp, C Hütt, Y Yao, Y Miao, X Chen, G Bareth International Journal of Applied Earth Observation and Geoinformation 21 …, 2013 | 122 | 2013 |
| Combined analysis of Sentinel-1 and RapidEye data for improved crop type classification: An early season approach for rapeseed and cereals U Lussem, C Hütt, G Waldhoff The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2016 | 34 | 2016 |
| Terrestrial laser scanning for plant height measurement and biomass estimation of maize N Tilly, D Hoffmeister, H Schiedung, C Hütt, J Brands, G Bareth The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2014 | 30 | 2014 |
| Spatial controls of topsoil and subsoil organic carbon turnover under C3–C4 vegetation change H Schiedung, N Tilly, C Hütt, G Welp, N Brüggemann, W Amelung Geoderma 303, 44-51, 2017 | 29 | 2017 |
| Multi-data approach for crop classification using multitemporal, dual-polarimetric TerraSAR-X data, and official geodata C Hütt, G Waldhoff European Journal of Remote Sensing 51 (1), 62-74, 2018 | 25 | 2018 |
| A review of estimation methods for aboveground biomass in grasslands using UAV COG Bazzo, B Kamali, C Hütt, G Bareth, T Gaiser Remote Sensing 15 (3), 639, 2023 | 23 | 2023 |
| Uav lidar metrics for monitoring crop height, biomass and nitrogen uptake: a case study on a winter wheat field trial C Hütt, A Bolten, H Hüging, G Bareth PFG–Journal of Photogrammetry, Remote Sensing and Geoinformation Science 91 …, 2023 | 22* | 2023 |
| High resolution köppen‐geiger classifications of paleoclimate simulations C Willmes, D Becker, S Brocks, C Hütt, G Bareth Transactions in GIS 21 (1), 57-73, 2017 | 22 | 2017 |
| Fusion of Sentinel-1 with official topographic and cadastral geodata for crop-type enriched LULC mapping using FOSS and open data C Hütt, G Waldhoff, G Bareth ISPRS International Journal of Geo-Information 9 (2), 120, 2020 | 18 | 2020 |
| Fusion of high resolution remote sensing images and terrestrial laser scanning for improved biomass estimation of maize C Hütt, H Schiedung, N Tilly, G Bareth The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2014 | 9 | 2014 |
| Monitoring costs of result-based payments for biodiversity conservation: Will UAV-assisted remote sensing be the game-changer? O Schöttker, C Hütt, F Jauker, J Witt, G Bareth, F Wätzold Journal for Nature Conservation 76, 126494, 2023 | 7 | 2023 |
| Facilitating integrated spatio-temporal visualization and analysis of heterogeneous archaeological and palaeoenvironmental research data C Willmes, S Brocks, D Hoffmeister, C Hütt, D Kürner, K Volland, G Bareth ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2012 | 7 | 2012 |
| Georeferencing multi-source geospatial data using multi-temporal TerraSAR-X imagery: A case study in Qixing Farm, northeast China Q Zhao, C Huett, VIS Lenz-Wiedemann, Y Miao, F Yuan, F Zhang, ... Photogramm. Fernerkund. Geoinf., 173-186, 2015 | 6 | 2015 |
| First results of applying UAV laser scanning to a cattle grazing experiment C Hütt, A Bolten, B Hohlmann, M Komainda, U Lussem, J Isselstein, ... Grassland Science in Europe 26, 135-137, 2021 | 5 | 2021 |
| Potential of Multitemporal Tandem-X Derived Crop Surface Models for Maize Growth Monitoring C Hütt, N Tilly, H Schiedung, G Bareth ISPRS-International Archives of the Photogrammetry, Remote Sensing and …, 2016 | 5 | 2016 |
| Upscaling and validation of RTK-direct georeferenced UAV-based RGB image data with Planet imagery using polygon grids for pasture monitoring G Bareth, C Hütt The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2021 | 4 | 2021 |
| Grid grazing: A case study on the potential of combining virtual fencing and remote sensing for innovative grazing management on a grid base D Hamidi, C Hütt, M Komainda, NA Grinnell, J Horn, F Riesch, M Hamidi, ... Livestock Science 278, 105373, 2023 | 2 | 2023 |
| Investigation of UAV-LiDAR penetration depth in meadows for monitoring forage mass C Hütt, G Bareth Grassland at the heart of circular and sustainable food systems, 617, 2022 | 2 | 2022 |
| Using polygon grids to upscale ultra-high resolution UAV data for monitoring pastures G Bareth, C Hütt 21st EGF Symposium, 2021 | 1 | 2021 |
Nora TillyInstitute of Geography, University of CologneVerified email at uni-koeln.de
