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Thorsten Dahms
Thorsten Dahms
Department of Remote Sensing University Wuerzburg
Email verificata su uni-wuerzburg.de
Titolo
Citata da
Citata da
Anno
Coupling of phenological information and simulated vegetation index time series: Limitations and potentials for the assessment and monitoring of soil erosion risk
M Möller, H Gerstmann, F Gao, TC Dahms, M Förster
Catena 150, 192-205, 2017
582017
Integrating random forest and crop modeling improves the crop yield prediction of winter wheat and oil seed rape
MS Dhillon, T Dahms, C Kuebert-Flock, T Rummler, J Arnault, ...
Frontiers in Remote Sensing 3, 1010978, 2023
372023
Spatiotemporal fusion modelling using STARFM: Examples of Landsat 8 and Sentinel-2 NDVI in Bavaria
MS Dhillon, T Dahms, C Kübert-Flock, I Steffan-Dewenter, J Zhang, ...
Remote Sensing 14 (3), 677, 2022
312022
Synthetic RapidEye data used for the detection of area-based spruce tree mortality induced by bark beetles
H Latifi, T Dahms, B Beudert, M Heurich, C Kübert, S Dech
GIScience & Remote Sensing 55 (6), 839-859, 2018
292018
Modelling crop biomass from synthetic remote sensing time series: Example for the DEMMIN test site, Germany
MS Dhillon, T Dahms, C Kuebert-Flock, E Borg, C Conrad, T Ullmann
Remote Sensing 12 (11), 1819, 2020
252020
Seasonal-based analysis of vegetation response to environmental variables in the mountainous forests of Western Himalaya using Landsat 8 data
S Khare, SK Ghosh, H Latifi, S Vijay, T Dahms
International journal of remote sensing 38 (15), 4418-4442, 2017
222017
Evaluation of MODIS, Landsat 8 and Sentinel-2 data for accurate crop yield predictions: A case study using STARFM NDVI in Bavaria, Germany
MS Dhillon, C Kübert-Flock, T Dahms, T Rummler, J Arnault, ...
Remote Sensing 15 (7), 1830, 2023
202023
Important variables of a rapideye time series for modelling biophysical parameters of winter wheat
T Dahms, S Seissiger, E Borg, H Vajen, B Fichtelmann, C Conrad
Photogramm. Fernerkund. Geoinf 2016, 285-299, 2016
202016
Cabbage whiteflies colonise Brassica vegetables primarily from distant, upwind source habitats
M Ludwig, H Ludwig, C Conrad, T Dahms, R Meyhöfer
Entomologia Experimentalis et Applicata 167 (8), 713-721, 2019
172019
Modelling biophysical parameters of maize using Landsat 8 time series
T Dahms, S Seissiger, C Conrad, E Borg
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2016
112016
Impact of STARFM on crop yield predictions: fusing MODIS with Landsat 5, 7, and 8 NDVIs in Bavaria Germany
MS Dhillon, T Dahms, C Kübert-Flock, A Liepa, T Rummler, J Arnault, ...
Remote Sensing 15 (6), 1651, 2023
82023
Derivation of biophysical parameters from fused remote sensing data
D Thorsten, C Christopher, DK Babu, S Marco, B Erik
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017
62017
Joint Experiment for Crop Assessment and Monitoring (JECAM)-Test Site DEMMIN 2018
E Borg, C Conrad, S Truckenbrodt, C Hüttich, N Ahmadian, T Dahms, ...
32018
Phenological NDVI time series for the dynamic derivation of soil coverage information
M Möller, H Gerstmann, TC Dahms
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017
32017
Ground Truth Validation of Sentinel-2 Data Using Mobile Wireless Ad Hoc Sensor Networks (MWSN) in Vegetation Stands
H Mollenhauer, E Borg, B Pflug, B Fichtelmann, T Dahms, S Lorenz, ...
Remote Sensing 15 (19), 4663, 2023
22023
Mapping and monitoring locust habitats in the aral sea region based on satellite earth observation data
M Bolkart, T Dahms, C Conrad, A Latchininsky, F Löw
22016
Energy dependence of exclusive J/ψ\documentclass [12pt]{minimal}\usepackage {amsmath}\usepackage {wasysym}\usepackage {amsfonts}\usepackage {amssymb}\usepackage {amsbsy …
S Acharya, ED Rosas, E Garcia-Solis, R Haake, X Peng, GV Margagliotti, ...
EPJC 79, 402, 2019
12019
Semi-autonomous remote sensing time series generation tool
DK Babu, C Kaufmann, M Schmidt, T Dahms, C Conrad
Image and Signal Processing for Remote Sensing XXIII 10427, 99-113, 2017
12017
Classification of agricultural land use and derivation of biophysical parameter using SAR and optical data
P Knöfel, T Dahms, E Borg, C Conrad
Informatik in der Land-, Forst-und Ernährungswirtschaft 2017, 77-80, 2017
12017
Impact on quality and processing time due to change in pre-processing operation sequence on moderate resolution satellite images
DK Babu, M Schmidt, T Dahms, C Conrad
IAC-16-B1. 4.2, 1-8, 2016
12016
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20