FR2.P3: Multisource Remote Sensing for Enhanced Monitoring and Assessing Agricultural Land Applications IV
Friday, 8 August, 10:30 - 11:45
Location: Room P3
Session Type: Oral
Track: Community-Contributed Sessions
Fri, 8 Aug, 10:45 - 11:00

FR2.P3.2: Spatiotemporal monitoring of grasshopper habitats using multi-source data: Combined with landscape and spatial heterogeneity

Jing Guo, Aerospace Information Research Institute, Chinese academy of science, China; Wenjiang Huang, Aerospace Information Research Institute, Chinese Academy of Sciences, China; Yingying Dong, Aerospace Information Research Institute, Chinese academy of science, China; Kejian Lin, Institute of Grassland Research, Chinese Academy of Agricultural Sciences, China; Yantao Zhou, National Forestry and Grassland Administration, China; Ning Wang, Rui Hua, Institute of Grassland Research, Chinese Academy of Agricultural Sciences, China; Zhuoqing Hao, Aerospace Information Research Institute, Chinese Academy of Sciences, China; Xiaolong Ding, Institute of Grassland Research, Chinese Academy of Agricultural Sciences, China; Fei Zhao, Yunnan University, China
Fri, 8 Aug, 11:00 - 11:15

FR2.P3.3: REAL-TIME RADIOMETRIC CALIBRATION OF UAV SPECTRAL IMAGERY UNDER CHANGING ILLUMINATION CONDITIONS

Chengjian Zhang, Guijun Yang, National Engineering Research Center for Information Technology in Agriculture of China, China; Shangrong Lin, Sun Yat-Sen University, China; Xiaodong Yang, Ning Qi, Hao Yang, National Engineering Research Center for Information Technology in Agriculture of China, China
Fri, 8 Aug, 11:15 - 11:30

FR2.P3.4: IMPROVED CROP DISEASE DETECTION ACROSS YEARS VIA ADVERSARIAL DOMAIN ADAPTATION APPLIED TO HYPERSPECTRAL AND THERMAL IMAGERY

Hafez Fathipoor, Tomás Poblete, The University of Melbourne, Australia; Juan Navas-Cortés, Instituto de Agricultura Sostenible, Spain; Niloofar Vaghefi, The University of Melbourne, Australia; Pablo Zarco-Tejada, Instituto de Agricultura Sostenible, Spain
Fri, 8 Aug, 11:30 - 11:45

FR2.P3.5: Large-Scale, High-Resolution Mapping of Plastic-Mulched Croplands Using Machine Learning

Hasi Tuya, Inner Mongolia Agricultural University, China; Zhongxin Chen, Food and Agriculture Organization of the United Nations, Italy; Jing Zhang, Zhiyuan Yan, Inner Mongolia Agricultural University, China