FRP1.PAA.9
PREDICTION OF WHEAT STEM BIOMASS USING A NEW UNIFIED MODEL DRIVEN BY PHENOLOGICAL VARIABLE UNDER REMOTE-SENSED CANOPY VEGETATION INDEX CONSTRAINTS
Guijun Yang, Weinan Chen, Meiling Gao, Chang’an University, China
Session:
FRP1.PAA: Multisource Remote Sensing for Enhanced Monitoring and Assessing Agricultural Land Applications II Poster
Track:
Community-Contributed Sessions
Location:
Poster Area
Presentation Time:
Friday, 8 August, 09:15 - 10:30
Presentation
Discussion
Resources
No resources available.
Session FRP1.PAA
FRP1.PAA.6: Angular Invariant Spectral Index for the Estimation of Leaf Chlorophyll Content
Shan Lu, Northeast Normal University, China
FRP1.PAA.7: MAPPING SWEET-POTATO CHLOROPHYLL BASED ON MULTITEMPORAL UAV IMAGERY, RADIATIVE TRANSFER MODELS AND SPECTRAL INDICES
Philemon Tsele, University Of Pretoria, South Africa; Abel Ramoelo, South African National Space Agency, South Africa; Lucy Moleleki, University Of Pretoria, South Africa; Sunette Laurie, Agricultural Research Council, South Africa; Whelma Mphela, Natasha Tshuma, University Of Pretoria, South Africa
FRP1.PAA.8: WHEAT YIELD PREDICTION USING AN ENHANCED WOFOST WITH SOIL STRATIFIED HYDROTHERMAL MODULE DRIVEN BY GLASS AND ERA5-LAND PRODUCTS OVER YELLOW RIVER BASIN
Guijun Yang, jing Zhang, Meiling Gao, Chang’an University, China
FRP1.PAA.9: PREDICTION OF WHEAT STEM BIOMASS USING A NEW UNIFIED MODEL DRIVEN BY PHENOLOGICAL VARIABLE UNDER REMOTE-SENSED CANOPY VEGETATION INDEX CONSTRAINTS
Guijun Yang, Weinan Chen, Meiling Gao, Chang’an University, China
FRP1.PAA.10: Detecting crop phenological stages from Sentinel-1 time-series data
Hongyi Liang, Ruyin Cao, University of Electronic Science and Technology of China, China
FRP1.PAA.11: A MULTIPLE INSTANCE DICTIONARY LEARNING APPROACH FOR CORN YIELD PREDICTION FROM REMOTE SENSING DATA
Risheng Huang, Shaoxing University, China; Shuhan Chen, Xiaorun Li, Zhejiang University, China; Zeyu Cao, Hangzhou City University, China
Resources
No resources available.