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This study was to examine the individual differences in primary school students’ motivation (i.e. growth mindset, self-efficacy, and interest), self-regulated learning strategy use in English writing and the relationships between motivation, strategy use and English writing competence. Participants were 523 4thgrade primary school students in Hong Kong. Although the findings showed a general pattern that the high achievers reported higher levels of motivation (i.e. growth mindset, self-efficacy, and interest) and self-regulated learning (SRL) strategy use than the average achievers, who in turn outperformed the low achievers, all the students showed quite a low level of interest in English writing. Interestingly, motivation impacted SRL strategy use very differently for students of different writing competence groups on the whole. Three-group Structural Equation Modelling (SEM) suggested that growth mindset had the strongest and most significant correlations with all students’ use of SRL strategies. However, interest and self-efficacy had different relationship patterns with SRL strategy use among the high, average and low achievers. Interest had no significant relations with the high achievers’ SRL strategy use, while self-efficacy had no significant relations with the low achievers’ SRL strategy use. Implications for English teachers to improve differentiated instruction are discussed.

Quantitative estimation of vegetation water content (VWC) using optical remote sensing techniques is helpful in forest fire assessment, agricultural drought monitoring and crop yield estimation. This paper reviews the research advances of VWC retrieval using spectral reflectance, spectral water index and radiative transfer model (RTM) methods. It also evaluates the reliability of VWC estimation using spectral water index from the observation data and the RTM. Focusing on two main definitions of VWC-the fuel moisture content (FMC) and the equivalent water thickness (EWT), the retrieval accuracies of FMC and EWT using vegetation water indices are analyzed. Moreover, the measured information and the dataset are used to estimate VWC, the results show there are significant correlations among three kinds of vegetation water indices (i.e., WSI, NDII, NDWI 1640 , WI/NDVI) and canopy FMC of winter wheat (n=45). Finally, the future development directions of VWC detection based on optical remote sensing techniques are also summarized. optical remote sensing, vegetation water content, estimation method, water index, FMC, EWT, radiative transfer model Citation: Zhang J H, Xu Y, Yao F M, et al. Advances in estimation methods of vegetation water content based on optical remote sensing techniques.