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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Bibliographic Details

Published in:	Remote sensing of environment Vol. 311; p. 114260
Main Authors:	Schug, Franz, Pfoch, Kira A., Pham, Vu-Dong, van der Linden, Sebastian, Okujeni, Akpona, Frantz, David, Radeloff, Volker C.
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.09.2024
Subjects:	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
Online Access:	Get full text
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