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Deep Learning Model Transfer in Forest Mapping using Multi-source Satellite SAR and Optical Images
We expect such forest-specific DL model transfer can be suitable also for other forest variables and other EO data sources that are sensitive to forest structure.
A Novel Semisupervised Contrastive Regression Framework for Forest Inventory Mapping with Multisensor Satellite Data
To overcome those limitations, here we introduce contrastive regression into EO based forest mapping and develop a novel semisupervised regression framework for wall-to-wall mapping of continuous forest variables.
ICEYE microsatellite SAR constellation status update: Evaluation of first commercial imaging modes
The ICEYE constellation features the first operational microsatellite based X-band SAR sensors suitable for all weather day-and-night Earth Observation.
Wide-Area Land Cover Mapping with Sentinel-1 Imagery using Deep Learning Semantic Segmentation Models
In this study, we answer that question for mapping the fundamental land cover classes using satellite radar data.
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