Mapping of temperate upland habitats using high-resolution satellite imagery and machine learning

Upland habitats provide vital ecological services, yet they are highly threatened by natural and anthropogenic stressors. Monitoring these vulnerable habitats is fundamental for conservation and involves determining information about their spatial locations and conditions. Remote sensing has evolved...

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Veröffentlicht in:	Environmental monitoring and assessment 2024-09, Vol.196 (9), p.869-869, Article 869
Hauptverfasser:	Cruz, Charmaine, Perrin, Philip M., Martin, James R., O’Connell, Jerome, McGuinness, Kevin, Connolly, John
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Anthropogenic factors anthropogenic stressors Atmospheric Protection/Air Quality Control/Air Pollution Classification Conservation of Natural Resources - methods data collection Earth and Environmental Science Ecology Ecosystem Ecotoxicology Environment Environmental Management Environmental Monitoring - methods Fuzzy sets Habitats High resolution highlands Human influences Image resolution Ireland Learning algorithms Machine Learning Machinery condition monitoring Mapping Monitoring/Environmental Analysis Mosaics probability Remote monitoring Remote sensing Remote Sensing Technology Satellite Imagery Satellites space and time Spatial discrimination Spatial distribution Spatial resolution
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