Michael Wachendorf

Orcid: 0000-0002-2840-7086

According to our database1, Michael Wachendorf authored at least 14 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Active Label Refinement for Semantic Segmentation of Satellite Images.
CoRR, 2023

2022
Multisite and Multitemporal Grassland Yield Estimation Using UAV-Borne Hyperspectral Data.
Remote. Sens., 2022

2021
Comparison of Spaceborne and UAV-Borne Remote Sensing Spectral Data for Estimating Monsoon Crop Vegetation Parameters.
Sensors, 2021

Assessing Spatial Variability of Barley Whole Crop Biomass Yield and Leaf Area Index in Silvoarable Agroforestry Systems Using UAV-Borne Remote Sensing.
Remote. Sens., 2021

Potentials and Limitations of WorldView-3 Data for the Detection of Invasive Lupinus polyphyllus Lindl. in Semi-Natural Grasslands.
Remote. Sens., 2021

Multi-temporal estimation of vegetable crop biophysical parameters with varied nitrogen fertilization using terrestrial laser scanning.
Comput. Electron. Agric., 2021

2020
Predicting Forage Quality of Grasslands Using UAV-Borne Imaging Spectroscopy.
Remote. Sens., 2020

Agricultural crop discrimination in a heterogeneous low-mountain range region based on multi-temporal and multi-sensor satellite data.
Comput. Electron. Agric., 2020

2019
Multi-Temporal Monsoon Crop Biomass Estimation Using Hyperspectral Imaging.
Remote. Sens., 2019

Methods for LiDAR-based estimation of extensive grassland biomass.
Comput. Electron. Agric., 2019

Evaluation of 3D point cloud-based models for the prediction of grassland biomass.
Int. J. Appl. Earth Obs. Geoinformation, 2019

2018
Estimation of Vegetable Crop Parameter by Multi-temporal UAV-Borne Images.
Remote. Sens., 2018

2017
Fusion of Ultrasonic and Spectral Sensor Data for Improving the Estimation of Biomass in Grasslands with Heterogeneous Sward Structure.
Remote. Sens., 2017

2016
Determination of fibre and protein content in heterogeneous pastures using field spectroscopy and ultrasonic sward height measurements.
Comput. Electron. Agric., 2016


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