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

FR1.R11.2

CROP YIELD ESTIMATION USING MULTI-SOURCE SATELLITE IMAGE SERIES AND DEEP LEARNING

Gohar Ghazaryan, University of Bonn, Germany; Sergii Skakun, University of Maryland, United States; Simon König, University of Bonn, Germany; Ehsan Eyshi Rezaei, Stefan Siebert, University of Göttingen, Germany; Olena Dubovyk, University of Bonn, Germany
Session:
Remote Sensing for Crop Parameters II
Track:
Land Applications
Presentation Time:
Fri, 2 Oct, 12:10-12:20 (UTC)
Fri, 2 Oct, 20:10-20:20 China Standard Time (UTC +8)
Fri, 2 Oct, 14:10-14:20 Central Europe Summer Time (UTC +2)
Fri, 2 Oct, 05:10-05:20 Pacific Daylight Time (UTC -7)
Session Co-Chairs:
Jasmeet Judge, University of Florida and Mauro Dalla mura, Univ. Grenoble Alpes
Session Managers:
Marcos Paulo Ferreira and Eric Loria

Presentation

Discussion

Resources

Session

FR1.R11.1: ASSESSING CROP PRODUCTIVITY IN DECONTAMINATED FARMLAND IN FUKUSHIMA USING MICRO-SATELLITE VENµS AND HYPERSPECTRAL SENSING
Yoshio Inoue, University of Tokyo, Japan; Gerard Dedieu, Centre d'Etudes Spatiales de la Biosphère, CESBIO, France; Naofumi Yoshida, Takashi Saito, Fukushima Agricultural Technology Center, Japan; Akira Iwasaki, University of Tokyo, Japan; Eiji Sakaiya, Aomori Prefectural Industrial Technology Center, Japan
FR1.R11.2: CROP YIELD ESTIMATION USING MULTI-SOURCE SATELLITE IMAGE SERIES AND DEEP LEARNING
Gohar Ghazaryan, University of Bonn, Germany; Sergii Skakun, University of Maryland, United States; Simon König, University of Bonn, Germany; Ehsan Eyshi Rezaei, Stefan Siebert, University of Göttingen, Germany; Olena Dubovyk, University of Bonn, Germany
FR1.R11.3: A SATELLITE-BASED METHODOLOGY FOR HARVEST DATE DETECTION AND YIELD PREDICTION IN SUGARCANE
Yuri Shendryk, Lecheng Pan, Matthew Craigie, CSIRO, Australia; Mattia Stasolla, Royal Military Academy, Belgium; Catherine Ticehurst, Peter Thorburn, CSIRO, Australia
FR1.R11.4: PADDY FIELD MAPPING IN EASTERN PART OF ASIA USING SENTINEL-1 AND SENTINEL-2
Shimpei Inoue, Akihiko Ito, National Institute for Environmental Studies, Japan; Chinatsu Yonezawa, Tohoku University, Japan
FR1.R11.5: CROP EVAPOTRANSPIRATION ESTIMATES FOR SUGARCANE BASED ON REMOTE SENSING AND LAND SURFACE MODEL IN THAILAND
Kamal Das, IBM Research India, India; Noppadon Khiripet, National Science and Technology Development Agency (NSTDA), Thailand; Panyawat Chattanrassamee, Chalerm Kijkullert, Vorraveerukorn Veerachit, Mitr-Phol, Thailand, Thailand
FR1.R11.6: LANDSAT-BASED RECONSTRUCTION OF CORN AND SOYBEAN YIELD HISTORIES IN THE UNITED STATES SINCE 1999
David Lobell, Walter Dado, Jillian Deines, Stefania di Tommaso, Sherrie Wang, Stanford University, United States
FR1.R11.7: USING NDVI TIME SERIES CURVE CHANGE RATE TO ESTIMATE WINTER WHEAT YIELD
Zhonglin Ji, Yaozhong Pan, Muyi Li, Beijing Normal University, China
FR1.R11.8: ASSESSING THE EFFECTS OF NUTRIENT STRESS ON THE RED TO FAR-RED RATIOS OF LIGHT TRANSMITTED BY UNIFACIAL PLANT LEAVES
Gladimir Baranoski, University of Waterloo, Canada
FR1.R11.9: EXPLOITING THE TEXTURAL INDICES OF UAV MULTISPECTRAL IMAGERY TO PREDICT RICE GRAIN YIELD
Hengbiao Zheng, Yan Zhu, Tao Cheng, Nanjing Agricultural University, China
FR1.R11.10: Estimation of leaf angle distribution based on statistical properties of leaf shading distribution
Kuniaki Uto, Tokyo Institute of Technology, Japan; Mauro Dalla Mura, Univ. Grenoble Alpes, France; Yuka Sasaki, Yamagata University, Japan; Koichi Shinoda, Tokyo Institute of Technology, Japan
FR1.R11.11: Combining UAS and Sentinel-2 data to estimate canopy parameters of a cotton crop using machine learning
Akash Ashapure, Jinha Jung, Sungchan Oh, Purdue University, United States; Anjin Chang, Texas A&M University Corpus Christi, United States; Nothabo Dube, Juan Landivar, Texas A&M AgriLife Research at Corpus Christi, United States