globalchange  > 气候变化事实与影响
DOI: 10.1016/j.jag.2013.12.005
Scopus记录号: 2-s2.0-84897438108
论文题名:
Retrieving canopy height and density of paddy rice from Radarsat-2 images with a canopy scattering model
作者: Zhang Y; , Liu X; , Su S; , Wang C
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 28, 期:1
起始页码: 170
结束页码: 180
语种: 英语
英文关键词: Canopy height and density ; Canopy scattering model ; Paddy rice ; Radarsat-2
Scopus关键词: accuracy assessment ; agricultural ecosystem ; backscatter ; canopy architecture ; carbon cycle ; data acquisition ; genetic algorithm ; optimization ; paddy field ; RADARSAT ; rice ; satellite imagery
英文摘要: Quantification of rice biophysical properties is important not only for rice growth monitoring and cropping management, but for understanding carbon cycle in agricultural ecosystems. In this study, a rice canopy scattering model (RCSM) was firstly utilized to simulate rice backscatter with a root mean square error (RMSE) <1 dB in comparison with the C-band, HH-polarization Radarsat-2 images. And then, by integrating the model with a generic algorithm optimization tools (GOAT), canopy height and density were separately retrieved from Radarsat-2 images acquired in three rice growth stages (elongation stage, heading stage and yellow ripening stage). Accuracy analysis showed that the two parameters could be retrieved with the RMSE of 5.4 cm in height, and 26 (#/m2) in density. The study demonstrated the potential of Radarsat-2 SAR data for quantitative mapping of biophysical parameters of paddy rice. © 2013 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79631
Appears in Collections:气候变化事实与影响

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作者单位: Key Laboratory of Geographical Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China; Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, CAS, Changchun 130102, China; School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China; Department of Geography, University of South Carolina, Columbia, SC 29208, United States

Recommended Citation:
Zhang Y,, Liu X,, Su S,et al. Retrieving canopy height and density of paddy rice from Radarsat-2 images with a canopy scattering model[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,28(1)
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