FR2.R11.8

TOWARD MATURITY ASSESSMENT OF SNAP BEAN CROPS: A BEST-CASE GREENHOUSE SCENARIO

Amirhossein Hassanzadeh, Rochester Institute of Technology, United States; Sean Murphy, Sarah Pethybridge, Cornell University, United States; Jan van Aardt, Fei Zhang, Rochester Institute of Technology, United States

Session:
Remote Sensing for Crop Parameters III

Track:
Land Applications

Presentation Time:
Fri, 2 Oct, 15:40-15:50 (UTC)
Fri, 2 Oct, 23:40-23:50 China Standard Time (UTC +8)
Fri, 2 Oct, 17:40-17:50 Central Europe Summer Time (UTC +2)
Fri, 2 Oct, 08:40-08:50 Pacific Daylight Time (UTC -7)

Session Co-Chairs:
Juan Lopez-Sanchez, University of Alicante and Brian Hornbuckle, Iowa State University
Session Managers:
Elena Donini and George Worrall

Presentation

Discussion

Resources

Session

FR2.R11.1: CALIBRATION OF A SVAT MODEL IN THE CENTRAL ZONE OF MEXICO WITH IN-SITU DATA OVER A CORN FIELD REGION
Héctor Ernesto Huerta Batiz, Daniel Enrique Constantino Recillas, Alejandro Monsiváis Huertero, Instituto Politécnico Nacional, Mexico; Aura Citlalli Torres Gómez, Instituto de Geografía y Geomatica Ing. Jorge L. Tamayo, Mexico; Jasmeet Judge, Center of Remote Sensing Dep. of Agric. and Biol. Eng, Mexico
FR2.R11.2: IMPROVING THE RICE YIELD ESTIMATION USING SMOS AND CYGNSS GNSS-R DATA
Qian Zhan, China University of Geosciences (Beijing), China; Mercè Vall-llossera, Universitat Politècnica de Catalunya, Spain; Miriam Pablos, Institute of Marine Sciences (ICM), Spain; Adriano Camps, Gerard Portal, David Chaparro, Universitat Politècnica de Catalunya, Spain
FR2.R11.3: EMPIRICAL COMBINATION OF LANDSAT 7 AND 8 IMAGERY TO DETECT THE PHENOLOGICAL CHANGES IN RAINFED CROPLAND VEGETATION
Jianxiu Shen, Fiona H. Evans, Murdoch University, Australia
FR2.R11.4: WINTER WHEAT PHENOLOGY EXTRACTION BASED ON DENSE TIME SERIES OF SENYINEL-1A DATA
Lin Qiu, Genyun Sun, Aizhu Zhang, China University of Petroleum (East China), China; Yanjuan Yao, Ministry of Environmental protection of China, China
FR2.R11.5: PREDICTION OF GRAIN PROTEIN CONTENT OF WINTER WHEAT USING UAV BASED HYPERSPECTRAL DATA
Siqi Yang, Haobo Wu, Ling Hu, Wenjie Fan, Huazhong Ren, Peking University, China
FR2.R11.6: ESTIMATING CHLOROPHYLL CONTENT OF RICE BASED ON UAV-BASED HYPERSPECTRAL IMAGERY AND CONTINUOUS WAVELET TRANSFORM
Gangqiang An, Minfeng Xing, University of Electronic Science and Technology of China, China; Chunhua Liao, Western University, Canada; Binbin He, University of Electronic Science and Technology of China, China
FR2.R11.7: SENTINEL-2 AND PLANETSCOPE DATA FUSION INTO DAILY 3 M IMAGES FOR LEAF AREA INDEX MONITORING
Yuval Sadeh, Xuan Zhu, David Dunkerley, Jeffrey P. Walker, Yuxi Zhang, Monash University, Australia; Offer Rozenstein, V.S. Manivasagam, Volcani Center, Israel; Karine Chenu, University of Queensland, Australia
FR2.R11.8: TOWARD MATURITY ASSESSMENT OF SNAP BEAN CROPS: A BEST-CASE GREENHOUSE SCENARIO
Amirhossein Hassanzadeh, Rochester Institute of Technology, United States; Sean Murphy, Sarah Pethybridge, Cornell University, United States; Jan van Aardt, Fei Zhang, Rochester Institute of Technology, United States
FR2.R11.9: IMPROVED DROUGHT MONITORING METHOD BASED ON MULTISOURCE REMOTE SENSING DATA
Zhengdong Wang, University of Chinese Academy of Sciences, China; Peng Guo, Hong Wan, Shandong Agricultural University, China
FR2.R11.10: LEAF COUNTING IN RICE (ORYZA SATIVA L.) USING OBJECT DETECTION: A DEEP LEARNING APPROACH
Mukesh Kumar Vishal, Biplab Banerjee, Rohit Saluja, Indian Institute of Technology Bombay, India; Dhandapani Raju, Chinnusamy Viswanathan, Sudhir Kumar, Rabi Narayan Sahoo, ICAR-IARI, India; Jagarlapudi Adinarayana, Indian Institute of Technology Bombay, India
FR2.R11.11: MARKOV CHAIN MONTE CARLO AND FOUR-DIMENSIONAL VARIATIONAL APPROACH BASED WINTER WHEAT YIELD ESTIMATION
Hai Huang, Jianxi Huang Huang, China Agricultural University, China; Yantong Wu, University of Electronic Science and Technology of China, China