Title :
A semi-empirical backscattering model for estimation of leaf area index (LAI) of rice in southern China
Author :
Chen, Jinsong ; Lin, Hui ; Liu, Aixia ; Shao, Yun ; Yang, Limin
Author_Institution :
China Land Surveying & Planning Inst., Hong Kong
Abstract :
Most paddy rice in southern China grows in warm, humid and rainy areas where it is hard to acquire optical remote sensing data. In this study, a semi-empirical backscattering model was proposed to estimate leaf area index (LAI) of rice in the area using ENVISAT Advanced Synthetic Aperture Radar (ASAR) alternating polarization data. Ground measurements of LAI, water content and height of rice in the test site were collected and the model fitted at the same time as the acquisition of ASAR data. LAI estimated from the model was compared with ground measurements to evaluate the accuracy of the model. The results showed that the model provides a promising alternative to optical remote sensing data for predicting LAI of rice in southern China.
Keywords :
backscatter; crops; data acquisition; remote sensing by radar; synthetic aperture radar; vegetation mapping; Advanced Synthetic Aperture Radar; ENVISAT ASAR; alternating polarization data; crop height; data acquisition; leaf area index; optical remote sensing; paddy rice; semi-empirical backscattering model; southern China; water content; Adaptive optics; Backscatter; Crops; Laboratories; Optical scattering; Optical sensors; Remote monitoring; Synthetic aperture radar; Testing; Time measurement; ENVISAT ASAR; Rice; backscattering model; leaf area index (LAI);
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-1211-2
Electronic_ISBN :
978-1-4244-1212-9
DOI :
10.1109/IGARSS.2007.4423641
