Machine Learning-Based Processing Proof-of-Concept Pipeline for Semi-Automatic Sentinel-2 Imagery Download, Cloudiness Filtering, Classifications, and Updates of Open Land Use/Land Cover Datasets

Machine Learning-Based Processing Proof-of-Concept Pipeline for Semi-Automatic Sentinel-2 Imagery Download, Cloudiness Filtering, Classifications, and Updates of Open Land Use/Land Cover Datasets

Land use and land cover are continuously changing in today’s world. Both domains, therefore, have to rely on updates of external information sources from which the relevant land use/land cover (classification) is extracted. Satellite images are frequent candidates due to their temporal and spatial r...

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Bibliographic Details
Main Authors: Tomáš Řezník, Jan Chytrý, Kateřina Trojanová
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:ISPRS International Journal of Geo-Information
Subjects:
machine learning
land use
land cover
satellite imagery
Sentinel 2
image classification
Online Access:https://www.mdpi.com/2220-9964/10/2/102

Internet

https://www.mdpi.com/2220-9964/10/2/102

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