International Geoscience and
Remote Sensing Symposium
In 2021 a joint initiative of Belgium and The Netherlands
FR1.O-6.3
AN EVALUATION OF SOIL MOISTURE RETRIEVAL USING MACHINE LEARNING METHODS: APPLICATION IN ARID REGIONS OF TUNISIA
Noureddine Jarray, Ali Ben Abbes, Imed Riadh Farah, RIADI Laboratory, National School of Computer Science, Tunisia
Session:
Machine Learning and AI Methods for Soil Moisture Retrieval
Track:
Land Applications
Presentation Time:
Fri, 16 Jul, 09:00-09:15 (UTC) Fri, 16 Jul, 11:00-11:15 Central Europe Summer Time (UTC +2) Fri, 16 Jul, 17:00-17:15 China Standard Time (UTC +8) Fri, 16 Jul, 05:00-05:15 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Mehmet Kurum, Mississippi State University and Emanuele Santi, CNR-IFAC