Automated curation of spatial metadata in environmental monitoring data
Spatial data accuracy in environmental monitoring is crucial for practical large-scale data analytics and the development of AI models. In this context, spatial data is metadata and faces the same challenges as any other metadata, like missing values, false or contradicting information, formatting p...
Saved in:
Main Authors: | İlhan Mutlu, Jörg Hackermüller, Jana Schor |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-05-01
|
Series: | Ecological Informatics |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1574954125000470 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Metadata functional requirements for genomic data practice and curation
by: Hong Huang, et al.
Published: (2024-06-01) -
Beyond boundaries: Charting the frontier of healthcare with big data and ai advancements in pharmacovigilance
by: Arohi Agarwal, et al.
Published: (2025-03-01) -
Big data application prospect of China Tower
by: Huoming CHENG, et al.
Published: (2017-07-01) -
IoTDQ: An Industrial IoT Data Analysis Library for Apache IoTDB
by: Pengyu Chen, et al.
Published: (2024-03-01) -
Standardization for Data Generation and Collection in the Dairy Industry: Addressing Challenges and Charting a Path Forward
by: Michel Baldin, et al.
Published: (2025-01-01)