Monitoring Rice Phenology Based on Backscattering Characteristics of Multi-Temporal RADARSAT-2 Datasets
Author
He, Ze; Li, Shihua; Wang, Yong; Dai, Leiyu; Lin, Sen
Abstract
Accurate estimation and monitoring of rice phenology is necessary for the management and yield prediction of rice. The radar backscattering coefficient, one of the most direct and accessible parameters has been proved to be capable of retrieving rice growth parameters. This paper aims to investigate the possibility of monitoring the rice phenology (i.e., transplanting, vegetative, reproductive, and maturity) using the backscattering coefficients or their simple combinations of multi-temporal RADARSAT-2 datasets only. Four RADARSAT-2 datasets were analyzed at 30 sample plots in Meishan City, Sichuan Province, China. By exploiting the relationships of the backscattering coefficients and their combinations versus the phenology of rice, HH/VV, VV/VH, and HH/VH ratios were found to have the greatest potential for phenology monitoring. A decision tree classifier was applied to distinguish the four phenological phases, and the classifier was effective. The validation of the classifier indicated an overall accuracy level of 86.2%. Most of the errors occurred in the vegetative and reproductive phases. The corresponding errors were 21.4% and 16.7%, respectively.
Date
2018-02-23
Citation:
APA:
He, Ze, & Li, Shihua, & Wang, Yong, & Dai, Leiyu, & Lin, Sen. (February 2018).
Monitoring Rice Phenology Based on Backscattering Characteristics of Multi-Temporal RADARSAT-2 Datasets.
,
(),
-
. Retrieved from
http://hdl.handle.net/10342/8315
MLA:
He, Ze, and Li, Shihua, and Wang, Yong, and Dai, Leiyu, and Lin, Sen.
"Monitoring Rice Phenology Based on Backscattering Characteristics of Multi-Temporal RADARSAT-2 Datasets". .
. (),
February 2018.
September 30, 2023.
http://hdl.handle.net/10342/8315.
Chicago:
He, Ze and Li, Shihua and Wang, Yong and Dai, Leiyu and Lin, Sen,
"Monitoring Rice Phenology Based on Backscattering Characteristics of Multi-Temporal RADARSAT-2 Datasets," , no.
(February 2018),
http://hdl.handle.net/10342/8315 (accessed
September 30, 2023).
AMA:
He, Ze, Li, Shihua, Wang, Yong, Dai, Leiyu, Lin, Sen.
Monitoring Rice Phenology Based on Backscattering Characteristics of Multi-Temporal RADARSAT-2 Datasets. .
February 2018;
():
.
http://hdl.handle.net/10342/8315. Accessed
September 30, 2023.
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