<正>根据国内外林木抗旱性研究现状，综述了林木抵御干旱的机制、抗旱性指标、抗旱性鉴定技术、抗旱树种和优良种质选育等方面的研究进展，并就林木抗旱性研究领域存在的相关问题进行了讨论，指出机理性研究、常规方法与生物技术有机结合、根系研究、林木抗旱性选育、林木抗旱性的动态跟踪分析等与林木抗旱性相关的研究趋势。

The methods of image fusion and transform, including PCA, wavelet based fusion, MNF and RBV transform etc. were executed to generate 37 feature bands on the basis of the ASTER original 9 bands. Coupling with observations of 48 poplar sample plots, traditional univariate regression models and regression tree models for average height, age and stem volume of poplar were cstablished respectively. After comparing the performance of models fit ring and grouud-truthing, it was found that regression tree models were superior to traditional univariate models in mapping spatial distribution of poplar stands’ parameters. Consequently, taking regression tree models to retrieve and map biophysical variables at a regional scale based on remote sensed data was more viable and reliable.