Publication: Country-wide retrieval of forest structure from optical and SAR satellite imagery with deep ensembles
Country-wide retrieval of forest structure from optical and SAR satellite imagery with deep ensembles
Date
Date
Date
2023
Journal Article
Published version
Citations
Becker, A., Russo, S., Puliti, S., Lang, N., Schindler, K., & Wegner, J. D. (2023). Country-wide retrieval of forest structure from optical and SAR satellite imagery with deep ensembles. ISPRS Journal of Photogrammetry and Remote Sensing, 195, 269–286. https://doi.org/10.1016/j.isprsjprs.2022.11.011
Additional indexing
Creators (Authors)
Journal/Series Title
Journal/Series Title
Journal/Series Title
Volume
Volume
Volume
195
Page range/Item number
Page range/Item number
Page range/Item number
269
Page end
Page end
Page end
286
Item Type
Item Type
Item Type
Journal Article
Keywords
Computers in Earth Sciences, Computer Science Applications, Engineering (miscellaneous), Atomic and Molecular Physics, and Optics
Language
Language
Language
English
Publication date
Publication date
Publication date
2023-01
Date available
Date available
Date available
2023-11-24
ISSN or e-ISSN
ISSN or e-ISSN
ISSN or e-ISSN
0924-2716
OA Status
OA Status
OA Status
Hybrid
Free Access at
Free Access at
Free Access at
DOI
Publisher DOI
Citations
Becker, A., Russo, S., Puliti, S., Lang, N., Schindler, K., & Wegner, J. D. (2023). Country-wide retrieval of forest structure from optical and SAR satellite imagery with deep ensembles. ISPRS Journal of Photogrammetry and Remote Sensing, 195, 269–286. https://doi.org/10.1016/j.isprsjprs.2022.11.011
Hybrid Open Access
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