WE4.P3.4
LEVERAGING SATELLITE DATA FOR WATER USAGE INSIGHTS: A COMPARISON OF SEN-ET, EEFLUX, AND THE PRE-TRAINED U-NET MODEL SAR2ET USING UAV-DERIVED ET AS GROUND TRUTH
Zeynep Kuru, M. Rasit Cevikalp, Esra Erten, Nebiye Musaoğlu, Istanbul Technical University, Turkey
Session:
WE4.P3: Precision Farming Oral
Track:
Land Applications
Location:
Plaza: Room P3
Presentation Time:
Wednesday, 6 August, 16:30 - 16:45
Session Co-Chairs:
Prasad Thenkabail, U.S. Geological Survey (USGS) and Moshiur Rahman, University of New England
Session WE4.P3
WE4.P3.1: AUTOMATIC FINE CO-REGISTRATION OF UAS MULTISPECTRAL IMAGES: A CASE STUDY ON A VINEYARD IN TUSCANY, ITALY
Lapo Miccinesi, Andrea Cioncolini, Jingfeng Shan, Luciano Alparone, Valentino Degli Innocenti, Alessandra Beni, Lorenzo Pagnini, Massimiliano Pieraccini, University of Florence, Italy
WE4.P3.2: UAV RGB and Multispectral Data for Grapevine Viral Disease Symptoms Classification
Fernando Portela, University of Trás-os-Montes e Alto Douro, Portugal; Claudio A. Paredes, Polytechnic Institute of Viana do Castelo, Portugal; Raul Morais, Joaquim J. Sousa, Luís Pádua, University of Trás-os-Montes e Alto Douro, Portugal
WE4.P3.3: Detection of Grapevine Viral Symptoms Using UAV-based Point Cloud Data and Vegetation Indices
Fernando Portela, Pedro Marques, Leilson Gomes, Raul Morais, Joaquim J. Sousa, Luís Pádua, University of Trás-os-Montes e Alto Douro, Portugal
WE4.P3.4: LEVERAGING SATELLITE DATA FOR WATER USAGE INSIGHTS: A COMPARISON OF SEN-ET, EEFLUX, AND THE PRE-TRAINED U-NET MODEL SAR2ET USING UAV-DERIVED ET AS GROUND TRUTH
Zeynep Kuru, M. Rasit Cevikalp, Esra Erten, Nebiye Musaoğlu, Istanbul Technical University, Turkey
WE4.P3.5: GKANS-KNN: ENHANCING CROP RECOMMENDATIONS WITH DEEP LEARNING
Somrita Sarkar, Sadique Amin, Anamika Dey, Chandranath Chatterjee, Pabitra Mitra, Indian Institute of Technology Kharagpur, India
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