2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

FR2.R11: Remote Sensing for Crop Parameters III

Fri, 2 Oct, 14:30 - 16:30 (UTC)
Fri, 2 Oct, 22:30 - 00:30 China Standard Time (UTC +8)
Fri, 2 Oct, 16:30 - 18:30 Central Europe Summer Time (UTC +2)
Fri, 2 Oct, 07:30 - 09:30 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
Track: Land Applications
14:30-14:40 (UTC)
22:30-22:40 (UTC +8)
16:30-16:40 (UTC +2)
07:30-07:40 (UTC -7)

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
14:40-14:50 (UTC)
22:40-22:50 (UTC +8)
16:40-16:50 (UTC +2)
07:40-07:50 (UTC -7)

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
14:50-15:00 (UTC)
22:50-23:00 (UTC +8)
16:50-17:00 (UTC +2)
07:50-08:00 (UTC -7)

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
15:00-15:10 (UTC)
23:00-23:10 (UTC +8)
17:00-17:10 (UTC +2)
08:00-08:10 (UTC -7)

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
15:10-15:20 (UTC)
23:10-23:20 (UTC +8)
17:10-17:20 (UTC +2)
08:10-08:20 (UTC -7)

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
15:20-15:30 (UTC)
23:20-23:30 (UTC +8)
17:20-17:30 (UTC +2)
08:20-08:30 (UTC -7)

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
15:30-15:40 (UTC)
23:30-23:40 (UTC +8)
17:30-17:40 (UTC +2)
08:30-08:40 (UTC -7)

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
15:40-15:50 (UTC)
23:40-23:50 (UTC +8)
17:40-17:50 (UTC +2)
08:40-08:50 (UTC -7)

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
15:50-16:00 (UTC)
23:50-00:00 (UTC +8)
17:50-18:00 (UTC +2)
08:50-09:00 (UTC -7)

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
16:00-16:10 (UTC)
00:00-00:10 (UTC +8)
18:00-18:10 (UTC +2)
09:00-09:10 (UTC -7)

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
16:10-16:20 (UTC)
00:10-00:20 (UTC +8)
18:10-18:20 (UTC +2)
09:10-09:20 (UTC -7)

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