Juliane Bendig
www.researchgate.net
0000-0002-6454-5654
Forschungszentrum Jülich
24 papers found
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Comparison of a UAV- and an airborne-based system to acquire far-red sun-induced chlorophyll fluorescence measurements over structurally different crops
LAI and Leaf Chlorophyll Content Retrieval Under Changing Spatial Scale Using a UAV-Mounted Multispectral Camera
Retrieval of Crop Variables from Proximal Multispectral UAV Image Data Using PROSAIL in Maize Canopy
Comparison of Reflectance Calibration Workflows for a UAV-Mounted Multi-Camera Array System
Measuring Solar-Induced Fluorescence from Unmanned Aircraft Systems for Operational Use in Plant Phenotyping and Precision Farming
Measuring and Understanding the Dynamics of Solar-Induced Fluorescence (SIF) and its Relation to Photochemical and Non-Photochemical Energy Dissipation - Scaling Leaf Level Regulation to Canopy and Ecosystem Remote Sensing
Unmanned Aerial Systems (UAS)-Based Methods for Solar Induced Chlorophyll Fluorescence (SIF) Retrieval with Non-Imaging Spectrometers: State of the Art
Solar-Induced Chlorophyll Fluorescence Measured From an Unmanned Aircraft System: Sensor Etaloning and Platform Motion Correction
Footprint Determination of a Spectroradiometer Mounted on an Unmanned Aircraft System
Influence of Cosine Corrector and Uas Platform Dynamics on Airborne Spectral Irradiance Measurements
Toward an automated low-cost three-dimensional crop surface monitoring system using oblique stereo imagery from consumer-grade smart cameras
A Comparison of UAV- and TLS-derived Plant Height for Crop Monitoring: Using Polygon Grids for the Analysis of Crop Surface Models (CSMs)
Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley
Leichte und UAV-getragene hyperspektrale, bildgebende Kameras zur Beobachtung von landwirtschaftlichen Pflanzenbeständen: spektraler Vergleich mit einem tragbaren Feldspektrometer
Very high resolution Crop Surface Models (CSM) from UAV-based stereo images for rice growth monitoring in Northeast China
Unmanned aerial vehicles (UAVs) for multi-temporal crop surface modelling. A new method for plant height and biomass estimation based on RGB-imaging
Estimating biomass of barley using crop surface models (CSMs) derived from UAV-based RGB imaging
Introduction and preliminary results of a calibration for full-frame hyperspectral cameras to monitor agricultural crops with UAVs
Monitoring des Pflanzenwachstums mit Hilfe multitemporaler und hoch auflösender Oberflächenmodelle von Getreidebeständen auf Basis von Bildern aus UAV-Befliegungen
Very high resolution crop surface models (CSMs) from UAV-based stereo images for rice growth monitoring In Northeast China
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