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Original Articles

Relationship between X-band backscattering coefficients from high-resolution satellite SAR and biophysical variables in paddy rice

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Pages 288-295 | Received 09 Jun 2012, Accepted 24 Aug 2012, Published online: 20 Sep 2012

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Vidya Nahdhiyatul Fikriyah, Roshanak Darvishzadeh, Alice Laborte, Nasreen Islam Khan & Andy Nelson. (2019) Discriminating transplanted and direct seeded rice using Sentinel-1 intensity data. International Journal of Applied Earth Observation and Geoinformation 76, pages 143-153.
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Kaiyu Guan, Zhan Li, Lakshman Nagraj Rao, Feng Gao, Donghui Xie, Ngo The Hien & Zhenzhong Zeng. (2018) Mapping Paddy Rice Area and Yields Over Thai Binh Province in Viet Nam From MODIS, Landsat, and ALOS-2/PALSAR-2. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 11:7, pages 2238-2252.
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Ze He, Shihua Li, Yong Wang, Leiyu Dai & Sen Lin. (2018) Monitoring Rice Phenology Based on Backscattering Characteristics of Multi-Temporal RADARSAT-2 Datasets. Remote Sensing 10:2, pages 340.
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Dipanwita Haldar & R. S. Gopalan. (2017) Assessment of paddy performance under BGREI initiative using RISAT SAR data. Paddy and Water Environment 15:4, pages 761-771.
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Onur Yuzugullu, Stefano Marelli, Esra Erten, Bruno Sudret & Irena Hajnsek. (2017) Determining Rice Growth Stage with X-Band SAR: A Metamodel Based Inversion. Remote Sensing 9:5, pages 460.
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Motofumi Arii, Hiroyoshi Yamada, Tatsuharu Kobayashi, Shoichiro Kojima, Toshihiko Umehara, Tomomi Komatsu & Takeshi Nishimura. (2017) Theoretical Characterization of X-Band Multiincidence Angle and Multipolarimetric SAR Data From Rice Paddies at Late Vegetative Stage. IEEE Transactions on Geoscience and Remote Sensing 55:5, pages 2706-2715.
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Long Liu, Yun Shao, Kun Li & Zhi Yang. (2017) Modeling the Scattering Behavior of Rice Ears. IEEE Geoscience and Remote Sensing Letters 14:4, pages 579-583.
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Koki HOMMA, Masayasu MAKI & Yoshihiro HIROOKA. (2017) Development of a rice simulation model for remote-sensing (SIMRIW-RS). Journal of Agricultural Meteorology 73:1, pages 9-15.
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Onur Yuzugullu, Esra Erten & Irena Hajnsek. (2017) Estimation of Rice Crop Height From X- and C-Band PolSAR by Metamodel-Based Optimization. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10:1, pages 194-204.
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T D Setiyono, F Holecz, N I Khan, M Barbieri, E Quicho, F Collivignarelli, A Maunahan, L Gatti & G C Romuga. (2017) Synthetic Aperture Radar (SAR)-based paddy rice monitoring system: Development and application in key rice producing areas in Tropical Asia. IOP Conference Series: Earth and Environmental Science 54, pages 012015.
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Kei Oyoshi, Nobuhiro Tomiyama, Toshio Okumura, Shinichi Sobue & Jun Sato. (2015) Mapping rice-planted areas using time-series synthetic aperture radar data for the Asia-RiCE activity. Paddy and Water Environment 14:4, pages 463-472.
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Jinwei Dong & Xiangming Xiao. (2016) Evolution of regional to global paddy rice mapping methods: A review. ISPRS Journal of Photogrammetry and Remote Sensing 119, pages 214-227.
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Caglar Kucuk, Gulsen Taskin & Esra Erten. (2016) Paddy-Rice Phenology Classification Based on Machine-Learning Methods Using Multitemporal Co-Polar X-Band SAR Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9:6, pages 2509-2519.
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S Li, P Ni, G Cui, P He, H Liu, L Li & Z Liang. (2016) Estimation of rice biophysical parameters using multitemporal RADARSAT-2 images. IOP Conference Series: Earth and Environmental Science 34, pages 012019.
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Dipanwita Haldar, K. R. Manjunath, Sushma Panigrahy, Varunika Jain, R. S. Gopalan, Mukesh Khullar, Manab Chakraborty & J. S. Parihar. (2014) Monsoon paddy monitoring and assessment using synthetic aperture radar data under BGREI programme in Odisha, India. Paddy and Water Environment 13:4, pages 343-352.
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J. M. Lopez-Sanchez, F. Vicente-Guijalba, J. D. Ballester-Berman & S. R. Cloude. (2015) Retrieving rice phenology with X-band co-polar data: A multi-incidence multi-year experiment. Retrieving rice phenology with X-band co-polar data: A multi-incidence multi-year experiment.
Juan M. Lopez-Sanchez, Fernando Vicente-Guijalba, J. David Ballester-Berman & Shane R. Cloude. (2015) Influence of Incidence Angle on the Coherent Copolar Polarimetric Response of Rice at X-Band. IEEE Geoscience and Remote Sensing Letters 12:2, pages 249-253.
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Sonia Asilo, Kees de Bie, Andrew Skidmore, Andrew Nelson, Massimo Barbieri & Aileen Maunahan. (2014) Complementarity of Two Rice Mapping Approaches: Characterizing Strata Mapped by Hypertemporal MODIS and Rice Paddy Identification Using Multitemporal SAR. Remote Sensing 6:12, pages 12789-12814.
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Zhi Yang, Kun Li, Long Liu, Yun Shao, Brian Brisco & Weiguo Li. (2014) Rice growth monitoring using simulated compact polarimetric C band SAR. Radio Science 49:12, pages 1300-1315.
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Andrew Nelson, Tri Setiyono, Arnel Rala, Emma Quicho, Jeny Raviz, Prosperidad Abonete, Aileen Maunahan, Cornelia Garcia, Hannah Bhatti, Lorena Villano, Pongmanee Thongbai, Francesco Holecz, Massimo Barbieri, Francesco Collivignarelli, Luca Gatti, Eduardo Quilang, Mary Mabalay, Pristine Mabalot, Mabel Barroga, Alfie Bacong, Norlyn Detoito, Glorie Berja, Frenciso Varquez, Wahyunto, Dwi Kuntjoro, Sri Murdiyati, Sellaperumal Pazhanivelan, Pandian Kannan, Petchimuthu Mary, Elangovan Subramanian, Preesan Rakwatin, Amornrat Intrman, Thana Setapayak, Sommai Lertna, Vo Minh, Vo Tuan, Trinh Duong, Nguyen Quyen, Duong Van Kham, Sarith Hin, Touch Veasna, Manoj Yadav, Chharom Chin & Nguyen Ninh. (2014) Towards an Operational SAR-Based Rice Monitoring System in Asia: Examples from 13 Demonstration Sites across Asia in the RIICE Project. Remote Sensing 6:11, pages 10773-10812.
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Alexandre Bouvet, Thuy Le Toan & Nguyen Lam Dao. (2014) Estimation of agricultural and biophysical parameters of rice fields in Vietnam using X-band dual-polarization SAR. Estimation of agricultural and biophysical parameters of rice fields in Vietnam using X-band dual-polarization SAR.
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Yoshio Inoue, Eiji Sakaiya & Cuizhen Wang. (2014) Capability of C-band backscattering coefficients from high-resolution satellite SAR sensors to assess biophysical variables in paddy rice. Remote Sensing of Environment 140, pages 257-266.
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Kaiyu Guan, Ngo The Hien, Zhan Li & Lakshman Nagraj Rao. (2018) Measuring Rice Yield from Space: The Case of Thai Binh Province, Viet Nam. SSRN Electronic Journal.
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