Chemical composition and source characterization of spring aerosol over Horqin sand land in northeastern China

IEECAS SKLLQG

Characterization and sources of regional-scale transported carbonaceous and dust aerosols from different pathways in coastal and sandy land areas of China

IEECAS SKLLQG

公用陆面模式（Community Land Model 3.0）简介

IEECAS SKLLQG

Decision tree classification of land cover from remotely sensed data

Decision tree classification algorithms have significant potential for land cover mapping problems and have not been tested in detail by the remote sensing community relative to more conventional pattern recognition techniques such as maximum likelihood classification. In this paper, we present several types of decision tree classification algorithms arid evaluate them on three different remote sensing data sets. The decision tree classification algorithms tested include an univariate decision tree, a multivariate decision tree, and a hybrid decision tree capable of including several different types of classification algorithms within a single decision tree structure. Classification accuracies produced by each of these decision tree algorithms are compared with both maximum likelihood and linear discriminant function classifiers. Results from this analysis show that the decision tree algorithms consistently outperform the maximum likelihood and linear discriminant function classifiers in regard to classf — cation accuracy. In particular, the hybrid tree consistently produced the highest classification accuracies for the data sets tested. More generally, the results from this work show that decision trees have several advantages for remote sensing applications by virtue of their relatively simple, explicit, and intuitive classification structure. Further, decision tree algorithms are strictly nonparametric and, therefore, make no assumptions regarding the distribution of input data, and are flexible and robust with respect to nonlinear and noisy relations among input features and class labels.

黄土高原(陕西部分)雨水资源化潜力初步分析

根据黄土高原（ 陕西部分） 的１４５ 个雨量观测站的３０ａ 逐月降水资料，分析了陕西雨水资源的时空分布特征，并在次基础上，分别对西北地区的作物地土壤拦蓄潜力，陕北、渭北、关中３ 地区居民工矿与交通用地的雨水汇流潜力进行了测算。初步结果为：两北地区作物地年总无效蒸发耗水达３３ ×１０８ ｍ３ ，若采取集流保墒措施，年可减少蒸发损失６－４ ×１０８ ｍ３ ；３ 地区居民工矿与交通用地年可汇流６－２７ ×１０８ ｍ ３ ，若一半用于粮食生产，并采取节水灌溉，初步推算黄土高原地区可增产粮食约２８－８ ×１０８ ｋｇ。