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
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.1: Advanced Growth Analysis and Modeling in Tropical Economic Crops with Sentinel-2 Imagery
Totsanat Rattanakaew, Ministry of Agriculture and Cooperatives, Thailand
FRP1.PAA.2: TIME-SERIES RICE MAPPING AND SPATIOTEMPORAL PATTERN EVOLUTION ANALYSIS OF NORTHEAST CHINA
Zhaorong Liu, Xiaojuan Li, Jinyan Tian, Beijing Laboratory of Water Resources Security, Capital Normal University, China; Lianwang Yin, Naval Remote Sensing Information Application Institute, China
FRP1.PAA.3: A NOVEL REMOTE SENSING BASED AGRICULTURE DROUGHT MONITORING INDEX USING STACKED MACHINE LEARNING
Sana Arshad, The Islamia University of Bahawalpur, Pakistan, Pakistan; Safwan Mohammed, University of Debrecen, Hungary, Hungary
FRP1.PAA.4: A performance-optimized ensemble learning for estimating soil salinity using UAV imagery and soil auxiliary information
Yan Zha, Qian Song, Miao Lu, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, China
FRP1.PAA.5: 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
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
FRP1.PAA.12: Ground Measurements and Remote Sensing Modeling of Gross Primary Productivity and Water Use Efficiency in Almond Agroecosystems
Clara Gabaldón-Leal, Álvaro Sánchez-Virosta, Carolina Doña, José González-Piqueras, Juan Manuel Sánchez, University of Castilla-La Mancha, Spain; Ramón López-Urrea, Consejo Superior de Investigaciones Científicas, Spain
Resources
No resources available.