FR4.P3.3
POOR ESTIMATION OF MODERATE-HIGH VEGETATION COVERAGE USING DIMIDIATE PIXEL MODELS
Tongtong Li, Shandong Normal University, China; Jingwen Hu, Shandong Marine Forecast and Hazard Mitigation Servic, China; Lin Gao, Shandong Normal University, China
Session:
FR4.P3: Multisource Remote Sensing for Enhanced Monitoring and Assessing Agricultural Land Applications IV Oral
Track:
Community-Contributed Sessions
Location:
Plaza: Room P3
Presentation Time:
Friday, 8 August, 16:15 - 16:30
Presentation
Discussion
Resources
No resources available.
Session FR4.P3
FR4.P3.1: REMOTE SENSING FOR DIGITAL AGRICULTURE AND HIGH-THROUGHPUT PHENOTYPING
Bikram Banerjee, University Of Southern Queensland, Australia
FR4.P3.2: Recognition of wheat rusts in a field environment based on improved DenseNet
Shenglong Chang, Henan Agricultural University, China; Guijun Yang, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, China; Jinpeng Cheng, Ziheng Feng, Zehua Fan, Xinming Ma, Yong Li, Henan Agricultural University, China; Xiaodong Yang, Chunjiang Zhao, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, China
FR4.P3.3: POOR ESTIMATION OF MODERATE-HIGH VEGETATION COVERAGE USING DIMIDIATE PIXEL MODELS
Tongtong Li, Shandong Normal University, China; Jingwen Hu, Shandong Marine Forecast and Hazard Mitigation Servic, China; Lin Gao, Shandong Normal University, China
FR4.P3.4: Multi-Platform Remote Sensing Integration from Ground to Space: A Case Study on Canola Phenology Monitoring in Australia
Ruizhu Jiang, Yan Zhao, Andries Potgieter, The University of Queensland, Australia
Resources
No resources available.