FRP1.PAA.2
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 V 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: MULTISPECTRAL AND MODIFIED CAMERAS COMPARISON IN AGRICULTURAL MAPPING WITH UNMANNED AERIAL VEHICLE (UAV)
Leonardo Campos Inocencio, Rio de Janeiro State University, Brazil; Rodrigo Raupp Bosque, São Paulo State University, Brazil; Francisco Manoel Wohnrath Tognoli, Rio de Janeiro Federal University, Brazil; César Augusto Moreira, São Paulo State University, Brazil; Jaqueline Lopes Diniz, University of Western Australia, Australia
FRP1.PAA.2: 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.3: Angular Invariant Spectral Index for the Estimation of Leaf Chlorophyll Content
Shan Lu, Northeast Normal University, China
FRP1.PAA.4: 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.5: 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.6: 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.7: 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.8: Multi-temporal Optical and Synthetic Aperture Radar (SAR) Satellite Imagery for Estimating Canola Harvest Dates Using Machine Learning
Hansanee Fernando, Kwabena Nketia, Thuan Ha, Sarah van Steenbergen, Steve Shirtliffe, University of saskatchewan, Canada
FRP1.PAA.9: ASSESSING OPTICAL-BASED EARTH OBSERVATIONS OF QUEENSLAND’S PASTURES: A COMPARISON OF FIELD, UAV AND SATELLITE SPECTRAL RESPONSES ACROSS A RANGE OF GRASSLAND AND WOODLAND PASTURES.
Jason Barnetson, Queensland Department of Environment, Tourism, Science and Innovation, Australia; Raj-Hemant Pandeya, Queensland Department of Primary Industries, Australia; Grant Fraser, Queensland Department of Environment, Tourism, Science and Innovation, Australia
FRP1.PAA.10: ESTIMATING GRAPEVINE CROP COEFFICIENTS AT HIGH RESOLUTION USING OPEN-SOURCE SATELLITE DATA
Hankun Luo, Diego Roy Guevara-Torres, Vinay Pagay, University of Adelaide, Australia
FRP1.PAA.11: ASSESSING THE EFFECT OF SPATIAL RESOLUTION ON CROP CLASSIFICATION SUCCESS
Hsuan-Yi Li, James A. Lawrence, Philippa J. Mason, Imperial College London, United Kingdom; Richard C. Ghail, Royal Holloway, University of London Egham, United Kingdom
FRP1.PAA.12: ENHANCING INSIGHTS INTO SMALLHOLDER CROP TYPE DYNAMICS THROUGH MULTI-MODAL DATA INTEGRATION AND HIGH-FREQUENCY OBSERVATIONS FROM HARMONIZED LANDSAT SENTINEL-2
Margaret Wooten, Qiang Zhou, Science Systems and Applications, Inc., United States; Jordan Caraballo-Vega, NASA GSFC, United States; William Wagner, Science Systems and Applications, Inc., United States; Mark Carroll, Christopher Neigh, NASA GSFC, United States
Resources
No resources available.