FR4.P3: Multisource Remote Sensing for Enhanced Monitoring and Assessing Agricultural Land Applications VIII
Friday, 8 August, 15:45 - 17:00
Location: Room P3
Session Type: Oral
Track: Community-Contributed Sessions
Fri, 8 Aug, 15:45 - 16:00

FR4.P3.1: Prediction of the daily spatial variation of stem water potential in cherry orchards using weather and Sentinel-2 data
Francisco Zambrano, Abel Herrera, Mauricio Olguin, Jesica Garrido, Andrea Miyasaka Almeida, Universidad Mayor, Chile
Fri, 8 Aug, 16:00 - 16:15

FR4.P3.2: RICE MAPPING IN HAINAN PROVINCE BASED ON TEMPORAL-SPATIAL FEATURES AND THE MODIFIED SEGFORMER MODEL
Yazhe Xie, Lu Xu, Hong Zhang, Mingyang Song, Ji Ge, Aerospace Information Research Institute, Chinese Academy of Sciences, China
Fri, 8 Aug, 16:15 - 16:30

FR4.P3.3: MULTI-MODAL HARVEST MONITORING AT REGIONAL AND FIELD SCALES IN THE ABSENCE OF GROUND TRUTH DATA
Shabarinath S Nair, Manav Gupta, Josef Wagner, University of Strasbourg, France; Sergii Skakun, Abhishek Kotcharlakota, University of Maryland, United States; Ran Pelta, Agmatix, Israel; Yuval Sadeh, Monash University, Australia; Mehdi Hosseini, Sheila Baber, University of Maryland, United States; Fangjie Li, University of Strasbourg, France; Blake Munshell, Erik Duncan, Inbal Becker-Reshef, University of Maryland, United States
Fri, 8 Aug, 16:30 - 16:45

FR4.P3.4: REMOTE SENSING FOR DIGITAL AGRICULTURE AND HIGH-THROUGHPUT PHENOTYPING
Bikram Banerjee, University Of Southern Queensland, Australia
Fri, 8 Aug, 16:45 - 17:00

FR4.P3.5: AGRILEARN 2.0: AN INTEGRATED SOFTWARE TOOLKIT FOR MULTISOURCE REMOTE SENSING AND MACHINE LEARNING IN AGRICULTURE APPLICATIONS
Jing Yang, Geosystems Research Institute, Mississippi State University, Mississippi State, United States; Yanbo Huang, Katelyn Jett, Johnie Jenkins, USDA-ARS Genetics and Sustainable Agricultural Research Unit, United States