Explainable Machine Learning for diagnosing Data Quality Issues in Dendrometer-Based Tree Growth Time Series

Valentina Disarlo; Anahid Wachsenegger; Jasmin Lampert; Anita Zolles

doi:10.5194/egusphere-egu26-21643

Explainable Machine Learning for diagnosing Data Quality Issues in Dendrometer-Based Tree Growth Time Series

Valentina Disarlo
, Anahid Wachsenegger
, Jasmin Lampert
, Anita Zolles

Data Science & Artifical Intelligence

Institute of Science and Technology Austria
Austrian Research Centre for Forests (BFW)

Research output: Poster presentation without proceedings › peer-review

Original language	English
Number of pages	1
DOIs	https://doi.org/10.5194/egusphere-egu26-21643
Publication status	Published - 14 Mar 2026
Event	EGU General Assembly 2026 - Austria Center, Vienna, Austria Duration: 3 May 2026 → 8 May 2026 https://www.egu26.eu/

Conference

Conference	EGU General Assembly 2026
Abbreviated title	EGU 26
Country/Territory	Austria
City	Vienna
Period	3/05/26 → 8/05/26
Internet address	https://www.egu26.eu/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action
SDG 15 Life on Land

Research Field

Multimodal Analytics

Keywords

Explainable AI
Data Quality
Tree Growth
Forestry

Access to Document

10.5194/egusphere-egu26-21643

Cite this

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title = "Explainable Machine Learning for diagnosing Data Quality Issues in Dendrometer-Based Tree Growth Time Series",

keywords = "Explainable AI, Data Quality, Tree Growth, Forestry, Explainable AI, Data Quality, Tree Growth, Forestry",

author = "Valentina Disarlo and Anahid Wachsenegger and Jasmin Lampert and Anita Zolles",

year = "2026",

month = mar,

day = "14",

doi = "10.5194/egusphere-egu26-21643",

language = "English",

note = "EGU General Assembly 2026, EGU 26 ; Conference date: 03-05-2026 Through 08-05-2026",

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TY - CONF

T1 - Explainable Machine Learning for diagnosing Data Quality Issues in Dendrometer-Based Tree Growth Time Series

AU - Disarlo, Valentina

AU - Wachsenegger, Anahid

AU - Lampert, Jasmin

AU - Zolles, Anita

PY - 2026/3/14

Y1 - 2026/3/14

KW - Explainable AI

KW - Data Quality

KW - Tree Growth

KW - Forestry

KW - Explainable AI

KW - Data Quality

KW - Tree Growth

KW - Forestry

UR - https://doi.org/10.5194/egusphere-egu26-21643

U2 - 10.5194/egusphere-egu26-21643

DO - 10.5194/egusphere-egu26-21643

M3 - Poster presentation without proceedings

T2 - EGU General Assembly 2026

Y2 - 3 May 2026 through 8 May 2026

ER -

Explainable Machine Learning for diagnosing Data Quality Issues in Dendrometer-Based Tree Growth Time Series

Conference

UN SDGs

Research Field

Keywords

Access to Document

Other files and links

Cite this