Dr. Christoph Hütt
Dr. Christoph Hütt
Institute of Geographie, University of Cologne
Bestätigte E-Mail-Adresse bei uni-koeln.de
Titel
Zitiert von
Zitiert von
Jahr
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
962013
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
682016
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 Photogrammetry, Remote Sensing and Spatial …, 2014
192014
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
International Archives of the Photogrammetry, Remote Sensing & Spatial …, 2016
182016
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
152018
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
122017
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
122017
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
International Archives of the Photogrammetry, Remote Sensing & Spatial …, 2014
92014
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 Photogrammetry, Remote Sensing and Spatial Information …, 2012
72012
Georeferencing multi-source geospatial data using multi-temporal TerraSAR-X imagery: A case study in Qixing Farm, northeast China
Q Zhao, C Hütt, VIS Lenz-Wiedemann, Y Miao, F Yuan, F Zhang, G Bareth
PFG Photogrammetrie, Fernerkundung, Geoinformation, 173-185, 2015
52015
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
42020
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
42016
Evaluating within-field rice growth variability using Quickbird and Ikonos images in Northeast China
ML Gnyp, Y Yao, Y Miao, K Yu, S Huang, E Dornauf, C Hütt, ...
Proceedings of the 3rd ISDE Digital Earth Summit, 2010
12010
Combining Multitemporal Microwave and Optical Remote Sensing Data. Mapping of Land Use/Land Cover, Crop Type, and Crop Traits
C Hütt
Universität zu Köln, 2019
2019
Combining Multitemporal Microwave and Optical Remote Sensing Data. Mapping of Land Use
C Hütt
Universitäts-und Stadtbibliothek Köln, 2019
2019
4 Georeferencing Multi-Source Geospatial Data Using Multi-Tem-poral TerraSAR-X Imagery: a Case Study in Qixing Farm, North-east China
Q Zhao, C Hütt, VIS Lenz-Wiedemann, Y Miao, F Yuan, F Zhang, G Bareth
Implementing an Agro-Environmental Information System (AEIS) Based on GIS …, 0
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