THP1.PBB.8
ENHANCING MAIZE YIELD PREDICTION BY ASSIMILATING MODIS LAI WITH PRE-CLASSIFICATION DATA INTO THE WOFOST MODEL
Huiying Yin, Ran Kang, Jian Guo, Tianhe Xu, Siqi Yang, Caiyun Deng, Shandong University, China
Session:
THP1.PBB: Crop Health, Growth, and Carbon Emission Monitoring II Poster
Track:
Land Applications
Location:
Poster Area
Presentation Time:
Thursday, 7 August, 09:15 - 10:30
Presentation
Discussion
Resources
No resources available.
Session THP1.PBB
THP1.PBB.1: Downscaling long-term sub-national grain yields into field-scale equivalents
Javier Navarro, Jonathan Richetti, CSIRO, Australia
THP1.PBB.2: Enhancing Leaf Area Index Inversion with Exposure Quality Factor for Automated Exposure Optimization
Yungao Deng, Yunping Chen, University of Electronic Science and Technology of China, China; Chaoming Luo, Ministry of Natural Resources, China; Jinming Zhang, Wangmin Jiang, Xinyu Li, University of Electronic Science and Technology of China, China
THP1.PBB.3: Development of a Satellite-Based Algorithm for Detecting Methane Emission Changes from Rice Paddies
Seongmun Sim, YeSeul Yun, Subin Cho, SeongWook Park, Boram Seong, Yeongho Kim, Myungseok Lee, Keunhoo Cho, Nara Space Technology, Korea (South)
THP1.PBB.4: SOIL TOTAL NITROGEN SPECTRAL INVERSION BASED ON THE DANN MODEL
Zhenyuan Ji, Ao Yang, Yun Zhang, Haoxuan Yuan, Zhiguo Liang, Harbin Institute of Technology, China; Yong Du, Yaohua Li, China Mobile Chengdu Institute of Research and Development, China
THP1.PBB.5: COMPARATIVE ASSESSMENT OF REMOTE SENSING AND HOLOS(TM) BASED SOIL ORGANIC CARBON STOCK ESTIMATION
Jayantrao Mohite, Suryakant Sawant, Tata Consultancy Services, India; Shakila K. Thilakarathna, Darcy Herauf, Bryan Prystupa, Farm Credit Canada, Canada; Ankur Pandit, Ravinkumar S, Sonali Kulkarni, Srinivasu Pappula, Tata Consultancy Services, India
THP1.PBB.6: Dynamic and Static Monitoring of Methane Emissions in Paddy Rice Fields Using UAV-Based Systems and QGIS Integration
Mark Angelo Purio, Franchesca Crisostomo, Alyssa Nicole Romulo, Chinmae Salvacion, Evelyn Raguindin, Adamson University, Philippines
THP1.PBB.7: DEEP LEARNING FOR WHEAT YIELD PREDICTION USING RGB-NIR MULTISPECTRAL DATA
Justin P. Ma, Prabahar Ravichandran, Keshav D. Singh, Raju Soolanayakanahally, Kirby T. Nilsen, Oscar Molina, Jatinder Sangha, Elizabeth Brauer, Harpinder S. Randhawa, Agriculture and Agri-Food Canada (AAFC), Canada
THP1.PBB.8: ENHANCING MAIZE YIELD PREDICTION BY ASSIMILATING MODIS LAI WITH PRE-CLASSIFICATION DATA INTO THE WOFOST MODEL
Huiying Yin, Ran Kang, Jian Guo, Tianhe Xu, Siqi Yang, Caiyun Deng, Shandong University, China
THP1.PBB.9: ESTIMATION OF NITROGEN CONTENT IN CANOLA AND WHEAT USING HYPERSPECTRAL DRONE IMAGING
Amir M. Chegoonian, Keshav D. Singh, Charles M. Geddes, Agriculture and Agri-Food Canada (AAFC), Canada; Christian Hansen, Deere & Company, Canada; Hongquan Wang, Agriculture and Agri-Food Canada (AAFC), Canada
THP1.PBB.10: A MULTI PURPOSE MONITORING SYSTEM FOR GHG EMISSIONS IN RICE
Bjoern Ole Sander, Amit Srivastava, Yen Tan Bui, Katherine Nelson, Tao Li, International Rice Research Institute, Thailand
THP1.PBB.11: Comparing salient crop stress indicators in canola from lab spectroscopy and passive spaceborne spectroscopy
Ha Nguyen, Tony Swan, Stuart Brown, Everard Edwards, Roger Lawes, The Commonwealth Scientific and Industrial Research Organization, Australia
THP1.PBB.12: AN INTEGRATED FRAMEWORK FOR OPTIMIZING SORGHUM PRODUCTION THROUGH REMOTELY SENSED SOIL WETNESS, CLIMATE FORECASTING, AND CROP SIMULATION
Yan Zhao, the University of Queensland, Australia; Trevor Philip, Avanta Seeds Pty Ltd, Australia; Jason Brider, Department of Primary Industries, Australia; Andrew Schepen, CSIRO Land & Water, Australia; Jayne Gentry, Department of Primary Industries, Australia; Andries Potgieter, the University of Queensland, Australia
Resources
No resources available.