Learning the variations in annual spectral-temporal metrics to enhance the transferability of regression models for land cover fraction monitoring

Monitoring the Earth by annually mapping land cover (LC) fractions helps to better understand the ongoing processes and changes of land use and land management. At 10 to 30 m spatial resolution, the combination of time-series data aggregation, specifically spectral-temporal metrics (STM), and regres...

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Veröffentlicht in:	Remote sensing of environment 2024-07, Vol.308, p.114206, Article 114206
Hauptverfasser:	Pham, Vu-Dong, Thiel, Fabian, Frantz, David, Okujeni, Akpona, Schug, Franz, van der Linden, Sebastian
Format:	Artikel
Sprache:	eng
Schlagworte:	Data density environment Germany land cover Land cover fractions land use Poland prediction Regression-based unmixing remote sensing Sentinel-2 Spectral-temporal metrics time series analysis vegetation
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