RSC4Earth
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Data Fusion
DeepForest: Novel Deep Learning Models for Land Use and Land Cover Classification Using Multi-Temporal and -Modal Sentinel Data of the Amazon Basin
Land use and land cover (LULC) mapping is a powerful tool for monitoring large areas. For the Amazon rainforest, automated mapping is …
Eya Cherif
,
Maximilian Hell
,
Melanie Brandmeier
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DOI
Predicting Forest Cover in Distinct Ecosystems: The Potential of Multi-Source Sentinel-1 and -2 Data Fusion
The fusion of microwave and optical data sets is expected to provide great potential for the derivation of forest cover around the …
Kai Heckel
,
Marcel Urban
,
Patrick Schratz
,
Miguel D. Mahecha
,
Christiane Schmullius
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DOI
LiDAR Derived Forest Structure Data Improves Predictions of Canopy N and P Concentrations from Imaging Spectroscopy
Imaging spectroscopy is a powerful tool for mapping chemical leaf traits at the canopy level. However, covariance with structural …
Michael Ewald
,
Raf Aerts
,
Jonathan Lenoir
,
Fabian Ewald Fassnacht
,
Manuel Nicolas
,
Sandra Skowronek
,
Jérôme Piat
,
Olivier Honnay
,
Carol Ximena Garzón-López
,
Hannes Feilhauer
,
Ruben Van De Kerchove
,
Ben Somers
,
Tarek Hattab
,
Duccio Rocchini
,
Sebastian Schmidtlein
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DOI
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