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Journal of Applied Remote Sensing • Open Access

Rice biomass retrieval from advanced synthetic aperture radar image based on radar backscattering measurement
Author(s): Longfei Tan; Yan Chen; Mingquan Jia; Ling Tong; Xin Li; Lei He

Paper Abstract

A biomass inversion algorithm based on a semi-empirical scattering model has been developed by using the simultaneous observation data, which are obtained by ground-based and space-based scatterometers during the rice-growing season. Three steps are applied to build the algorithm: (1) the backscattering coefficients are collected in eight acquisitions at different growth periods. Meanwhile, the ground-truth data are measured, such as rice biomass, leaf-area index, and canopy height and related ecophysiological canopy variables. Moreover, three scenes of advanced synthetic aperture radar (ASAR) AP images covering the study area are acquired. (2) The inversion models are built based on a semi-empirical rice water-cloudy model with the data measured in field. The rice backscattering coefficients of HH and VV polarizations are the input parameters. (3) By processing the ASAR images, the backscattering coefficients are extracted and input to the inversion model, and then the rice biomass maps are outputted at three different periods’ images. By comparing the rice biomass measured with the inverse values from the scattering data and SAR images, it shows that the inversion values are considerably consistent with the true measured values. The inversion results show that the multitemporal SAR images at the C-band can be used to monitor the growth of rice by using the semi-empirical inversion model.

Paper Details

Date Published: 13 May 2015
PDF: 14 pages
J. Appl. Remote Sens. 9(1) 097091 doi: 10.1117/1.JRS.9.097091
Published in: Journal of Applied Remote Sensing Volume 9, Issue 1
Show Author Affiliations
Longfei Tan, Univ. of Electronic Science and Technology of China (China)
Yan Chen, Univ. of Electronic Science and Technology of China (China)
Mingquan Jia, China Electronics Technology Group Corporation (China)
Ling Tong, Univ. of Electronic Science and Technology of China (China)
Xin Li, Univ. of Electronic Science and Technology of China (China)
Lei He, Univ. of Electronic Science and Technology of China (China)


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