Pixel and object-based land cover mapping and change detection from 1986 to 2020 for Hungary using histogram-based gradient boosting classification tree classifier
The large-scale pixel-based land use/land cover classification is a challenging task, which depends on many circumstances. This study aims to create LULC maps with the nomenclature of Coordination of Information on the Environment (CORINE) Land Cover (CLC) for years when the CLC databases are not av...
Main Authors: | Gudmann András, Mucsi László |
---|---|
Format: | Article |
Language: | English |
Published: |
University of Novi Sad, Department of Geography, Tourism and Hotel Management
2022-01-01
|
Series: | Geographica Pannonica |
Subjects: | |
Online Access: | https://scindeks-clanci.ceon.rs/data/pdf/0354-8724/2022/0354-87242203165G.pdf |
Similar Items
-
Evaluation of Light Gradient Boosted Machine Learning Technique in Large Scale Land Use and Land Cover Classification
by: Dakota Aaron McCarty, et al.
Published: (2020-10-01) -
Gradient Boosting Machine and Object-Based CNN for Land Cover Classification
by: Quang-Thanh Bui, et al.
Published: (2021-07-01) -
Improvement in Satellite Image-Based Land Cover Classification with Landscape Metrics
by: András Gudmann, et al.
Published: (2020-10-01) -
From Land Cover Map to Land Use Map: A Combined Pixel-Based and Object-Based Approach Using Multi-Temporal Landsat Data, a Random Forest Classifier, and Decision Rules
by: Dang Hung Bui, et al.
Published: (2021-04-01) -
A boosting ensemble learning based hybrid light gradient boosting machine and extreme gradient boosting model for predicting house prices
by: Racheal Sibindi, et al.
Published: (2023-04-01)