WE4.R11.5

YIELD FORECASTING FOR ALMOND ORCHARDS WITH PLANETSCOPE SATELLITE IMAGERY AND DEEP LEARNING

Yufang Jin, Minmeng Tang, University of California, United States
Session:
WE4.R11: Causality and Machine Learning for Sustainable Agriculture and Food Security Oral
Track:
Community-Contributed Sessions
Location:
MC 3.2
Presentation Time:
Wed, 10 Jul, 18:16 - 18:30
Session Co-Chairs:
Mihai Ivanovici, Transilvania University of Brasov and Ilias Tsoumas, National Observatory of Athens / Beyond Centre of EO Research & Satellite Remote Sensing and Vasileios Sitokonstantinou, Universitat de Valencia
Presentation
Discussion
Resources
No resources available.
Session WE4.R11
WE4.R11.1: SEMANTIC SEGMENTATION OF COFFEE PLANTATIONS FROM SENTINEL-2 TIME SERIES
Jan Pisl, Gaston Lenczner, EPFL, Switzerland; Frank de Morsier, Picterra, Switzerland; Devis Tuia, EPFL, Switzerland
WE4.R11.2: STATISTICAL INFERENCE BASED ON SENTINEL-2 AND IN SITU NDVI MEASUREMENTS USING MONTE CARLO SAMPLING
Mihai Ivanovici, Corneliu Florea, Artur Kazak, Transilvania University of Brasov, Romania
WE4.R11.3: MACHINE LEARNING-BASED CLASSIFICATION OF SENTINEL-1 BACKSCATTERING COEFFICIENTS USING GENERATED PLANT SCHEMATICS
Kamal Marandskiy, Mihai Ivanovici, Stefan Popa, Transilvania University of Brasov, Romania
WE4.R11.4: Towards Global Crop Maps with Transfer Learning
Alkiviadis Koukos, National Observatory of Athens | DHI, Denmark; Hyun-Woo Jo, Korea University, Korea (South); Vasileios Sitokonstantinou, Universitat de Valencia, Greece; Ilias Tsoumas, Charalampos Kontoes, National Observatory of Athens / Beyond Centre of EO Research & Satellite Remote Sensing, Greece; Woo-Kyun Lee, Korea University, Korea (South)
WE4.R11.5: YIELD FORECASTING FOR ALMOND ORCHARDS WITH PLANETSCOPE SATELLITE IMAGERY AND DEEP LEARNING
Yufang Jin, Minmeng Tang, University of California, United States
WE4.R11.6: ASSESSING THE CAUSAL IMPACT OF HUMANITARIAN AID ON FOOD SECURITY
Jordi Cerdà-Bautista, José María Tárraga, Vasileios Sitokonstantinou, Gustau Camps-Valls, University of Valencia, Spain
Resources
No resources available.