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A hybrid deep learning framework combining transformer and logistic regression models for automatic marine mucilage detection using sentinel-1 SAR data: A case study in Armutlu-Zeytinbağı, Marmara Sea. [PDF]
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Remote Sensing Imagery Data Analysis Using Marine Predators Algorithm with Deep Learning for Food Crop Classification. [PDF]
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Antennas for drone-borne synthetic aperture radar
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Classification of basal stem rot using deep learning: a review of digital data collection and palm disease classification methods. [PDF]
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Advanced Sensing Technology for Ocean Observation. [PDF]
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The Deformation Monitoring Capability of Fucheng-1 Time-Series InSAR. [PDF]
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Peatland’s hydrology is of primary importance since their water status significantly influences carbon decomposition and, consequently, carbon fluxes. The degradation of peatlands via drainage is typically causing a release of CO2.
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