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OZ Kira
Ben-Gurion University of the NegevMeeting roles in:
Advancing Urban Vegetation Mapping with Multi-Temporal Planet Scope Imagery and Machine Learning
Multi-Temporal SIF Time Series and Neural Network Modeling Enable Accurate In-Season Corn Yield Forecasting Across Climatic Gradients
Probing Global Photosynthesis for Climate Mitigation and Food Security: New Insights from Innovative Tracers through Remote Sensing and Earth System Models
Assessing Urban Vegetation Dynamics and Productivity using Solar-Induced Chlorophyll Fluorescence (SIF)
Enhancing crop yield prediction through sub-grid mapping of C3/C4 solar-induced chlorophyll fluorescence (SIF) with deep learning
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