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
Session:
FR2.P3: Multisource Remote Sensing for Enhanced Monitoring and Assessing Agricultural Land Applications II Oral
Track:
Community-Contributed Sessions
Location:
Plaza: Room P3
Presentation Time:
Friday, 8 August, 11:30 - 11:45
Session Co-Chairs:
Nina Lin, Academia Sinica Institute of Earth Sciences and Shangrong Wu, Chinese Academy of Agricultural Sciences
Presentation
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Session FR2.P3
FR2.P3.1: COMPARATIVE ANALYSIS OF SENTINEL-2 AND MODIS NDVI ANOMALIES FOR HIGH-RESOLUTION AGRICULTURAL MONITORING IN THE KOREAN PENINSULA
Junho Ser, Jung-Il Shin, The Seoul Institute, Korea (South)
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
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
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
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
Resources
No resources available.