Towards machine learning assisted error identification in orbital laser 
altimetry for tides derivation

Stenzel, Oliver Joachim; Hilchenbach, Martin

doi:10.5194/epsc2021-688

Local TagsRelease HistoryDetailsSummary

Towards machine learning assisted error identification in orbital laser altimetry for tides derivation

Stenzel, O. J., & Hilchenbach, M. (2021). Towards machine learning assisted error identification in orbital laser altimetry for tides derivation. Poster presented at Europlanet Science Congress 2021, Online.

Item is Released

show all hide all

Basic

show hide

Item Permalink: https://hdl.handle.net/21.11116/0000-0009-3DFE-6 Version Permalink: https://hdl.handle.net/21.11116/0000-0009-3DFF-5

Genre: Poster

Files

show Files

Locators

show

Creators

show

hide

Creators:
Stenzel, Oliver Joachim¹, Author
Hilchenbach, Martin¹, Author

Affiliations:
1Department Planets and Comets, Max Planck Institute for Solar System Research, Max Planck Society, ou_1832288

Content

show

Details

show

hide

Language(s):

Dates:

Publication Status: Not specified

Pages: -

Publishing info: -

Table of Contents: -

Rev. Type: -

Identifiers: DOI: 10.5194/epsc2021-688

Degree: -

Event

show

hide

Title: Europlanet Science Congress 2021

Place of Event: Online

Start-/End Date: 2021-09-13 - 2021-09-24

Legal Case

show

Project information

show

Source

show