Christoph Hütt

Best Accuracy Land Use/Land Cover (LULC) Classification to Derive Crop Types Using Multitemporal, Multisensor, and Multi-Polarization SAR Satellite Images

Christoph Hütt, Wolfgang Koppe, Yuxin Miao et al. · Remote Sensing · 2016 · 128 citations · Full text

Natural Sciences, Crop Sciences, Crop Sensing +15

Rice monitoring with multi-temporal and dual-polarimetric TerraSAR-X data

Wolfgang Koppe, Martin L. Gnyp, Christoph Hütt et al. · International Journal of Applied Earth Observation and Geoinformation · 2012 · 107 citations

Natural Sciences, Earth Sciences, Geoinformatics +8

UAV LiDAR Metrics for Monitoring Crop Height, Biomass and Nitrogen Uptake: A Case Study on a Winter Wheat Field Trial

Christoph Hütt, Andreas Bolten, Hubert Hüging et al. · PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science · 2022 · 42 citations · Full text

Agriculture, Agronomy, Crop Sciences +17

Fusion of Sentinel-1 with Official Topographic and Cadastral Geodata for Crop-Type Enriched LULC Mapping Using FOSS and Open Data

Christoph Hütt, Guido Waldhoff, Georg Bareth · ISPRS International Journal of Geo-Information · 2020 · 29 citations · Full text

Computing, Agronomy, Geoinformatics +17

Spatial controls of topsoil and subsoil organic carbon turnover under C3–C4 vegetation change

Henning Schiedung, Nora Tilly, Christoph Hütt et al. · Geoderma · 2017 · 28 citations

Agriculture, Ecology, Soil Sciences +16