Maximilian Langheinrich

Orcid: 0000-0002-7093-9158

According to our database1, Maximilian Langheinrich authored at least 11 papers between 2017 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

On csauthors.net:

Bibliography

2023
Atmospheric Correction of DESIS and EnMAP Hyperspectral Data: Validation of L2a Products.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

BOA Reflectance Based Dead and Defective Pixel Interpolation in the ENMAP Ground Segment Processing Chain.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Calibration and Validation of the Hyperspectral Mission EnMAP: Results of The Commissioning Phase.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2021
Analysis-Ready Data from Hyperspectral Sensors - The Design of the EnMAP CARD4L-SR Data Product.
Remote. Sens., 2021

2020
PACO: Python-Based Atmospheric Correction.
Sensors, 2020

GAN-Generated Elevation Models in Computational Fluid Dynamics: A Feasibility Study for Complex Urban Terrain.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Stepwise Refinement Of Low Resolution Labels For Earth Observation Data: Part 2.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Stepwise Refinement Of Low Resolution Labels For Earth Observation Data: Part 1.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
An Advanced Workflow for Simulating High Resolution Wind Fields Over Complex Urban Terrain Including Single Tree Objects.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Spectral Characterization and Smile Correction for the Imaging Spectroscopy Mission Enmap.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Modeling wind flow over complex urban terrain.
Proceedings of the Joint Urban Remote Sensing Event, 2017


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