Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series
Cite as
Masolele, R. N., De, S. V., Herold, M., Marcosa, D., Verbesselt, J., Gieseke, F., Mullissa, A. G., & Martius, C. (2021). Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series. Remote Sensing of Environment, 264, 112600.Details
Publication type
Research article (journal)
Peer reviewed
Yes
Publication status
Published
Year
2021
Journal
Remote Sensing of Environment
Volume
264
Pages range
112600
Language
English
ISSN
0034-4257
DOI