Land cover fraction mapping across global biomes with Landsat data, spatially generalized regression models and spectral-temporal metrics

Mapping land cover in highly heterogeneous landscapes is challenging, and classifications have inherent limitations where the spatial resolution of remotely sensed data exceeds the size of small objects. For example, classifications based on 30-m Landsat data do not capture urban or other heterogene...

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Vydané v:	Remote sensing of environment Ročník 311; s. 114260
Hlavní autori:	Schug, Franz, Pfoch, Kira A., Pham, Vu-Dong, van der Linden, Sebastian, Okujeni, Akpona, Frantz, David, Radeloff, Volker C.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.09.2024
Predmet:	ecosystems environment land cover Landsat Model transfer Neural network regression remote sensing Synthetic training data Weighted training data Synthetic training data Model transfer Neural network regression Weighted training data
ISSN:	0034-4257
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