TH3.R8.4

SEMI-SUPERVISED DEEP LEARNING FOR CHANGE DETECTION IN AGRICULTURAL FIELDS USING SENTINEL-2 IMAGERY

Iason Tsardanidis, Charalampos Kontoes, BEYOND Centre of EO Research & Satellite Remote Sensing, Greece
Session:
TH3.R8: Multi-Sensor Satellite Image Time Series and AI in support of the Agri-Food Sector and Common Agricultural Policy Oral
Track:
Community-Contributed Sessions
Location:
MC 2 Hall
Presentation Time:
Thu, 11 Jul, 15:22 - 15:36
Session Co-Chairs:
Machi Simeonidou, Agroapps P.C. and Iason Tsardanidis, BEYOND Centre of EO Research & Satellite Remote Sensing
Presentation
Discussion
Resources
No resources available.
Session TH3.R8
TH3.R8.1: MAPPING OF INTENSE AND SEVERE THUNDERSTORM DAMAGED AGRICULTURAL CROPS USING EARTH OBSERVATIONS
Jordan R. Bell, Andrew L. Molthan, NASA Marshall Space Flight Center, United States; Kaylee G. Sharp, Alex Melancon, University of Alabama in Huntsville, United States; Hannah G. Pankratz, NASA Marshall Space Flight Center, United States
TH3.R8.2: SATELLITE DATA FUSION FOR FOOD SECURITY ENHANCEMENT IN TROPICAL AREAS
Agathoklis Dimitrakos, Agroapps P.C., Greece; Giovanni Laneve, Sapienza Università di Roma, Italy; Vangelis Oikonomopoulos, Agroapps P.C., Greece; Rajesh Vanguri, Riccardo Orsi, Sapienza Università di Roma, Italy; Manos Lekakis, Agroapps P.C., Greece; Simone Saquella, Sapienza Università di Roma, Italy; Minas Ververis, Panagiota Ntasiou, Giorgios Gousios, Agroapps P.C., Greece; Collins Omulo Mito, University of Nairobi, Kenya
TH3.R8.3: MULTI-MODAL VISION TRANSFORMERS FOR CROP MAPPING FROM SATELLITE IMAGE TIME SERIES
Theresa Follath, David Mickisch, Technical University of Berlin, Germany; Jan Hemmerling, Stefan Erasmi, Marcel Schwieder, Thünen Institute of Farm Economics, Germany; Begüm Demir, Technical University of Berlin, Germany
TH3.R8.4: SEMI-SUPERVISED DEEP LEARNING FOR CHANGE DETECTION IN AGRICULTURAL FIELDS USING SENTINEL-2 IMAGERY
Iason Tsardanidis, Charalampos Kontoes, BEYOND Centre of EO Research & Satellite Remote Sensing, Greece
TH3.R8.5: WHAT FACTORS EXPLAIN INTERANNUAL VARIABILITY OF WHEAT YIELD ACROSS THE EU? AN ASSESSMENT USING SATELLITE AND METEOROLOGICAL DATA
Lorenzo Seguini, Anton Vrieling, Andrew Nelson, University of Twente, Italy; Michele Meroni, JRC - EC, Italy
TH3.R8.6: STRATIFIED MACHINE LEARNING MODELS FOR WHEAT YIELD ESTIMATION USING REMOTE SENSING DATA
Keltoum Khechba, Mohammed VI Polytechnic University, Morocco; Mariana Belgiu, University of Twente, Netherlands; Ahmed Laamrani, Mohammed VI Polytechnic University, Morocco; Qi Dong, Alfred Stein, University of Twente, Netherlands; Abdelghani Chehbouni, Mohammed VI Polytechnic University, Morocco
TH3.R8.7: A NEW REMOTE SENSING METHOD TO MAP FIELD-SCALE TIME-SERIES WHEAT WITHOUT TRAINING DATA IN BULGARIA
Aparna Phalke, NASA Marshall Space Flight Center and The University of Alabama in Huntsville, United States; Mutlu Özdoğan, University of Wisconsin-Madison, United States; Lachezar Filchev, Bulgarian Academy of Sciences, Bulgaria
Resources
No resources available.