决策树方法在遥感信息提取中的应用

介绍了决策树分类器的结构和理论基础,并结合了遥感影像各波段的特征对地物进行分类。在此基础上,以重庆渝北区为例进行了分类实验。实验说明了实现分类的具体过程,结果表明其方法在依据感兴趣区训练样本进行影像分类是切实可行的。     

利用雷达干涉数据进行城市不透水层百分比估算

人工不透水层是城市地区的重要特征.作为城市生态环境的关键指数,不透水层百分比(Impervious Surfaces Percentage, ISP)常用于城市水文过程模拟、水质面源污染及城市专题制图等研究中.本文利用ERS-1/2 重复轨道雷达干涉数据,采用分类与回归树(CART)算法探究了雷达遥感在城市ISP估算中的可行性和潜力,并与SPOT5 HRG光学遥感图像的估算结果进行了分析比较.香港九龙港岛实验区的初步研究结果表明,雷达干涉数据在城市不透水层研究中具有一定的应用潜力,特别是裸土和稀疏植被的ISP估算结果要好于光学遥感,这主要得益于雷达干涉数据(特别是长时间相干图像)在人工建筑物和裸土或稀疏植被之间具有很强的区分能力,另外,雷达干涉数据和光学遥感数据间的融合能够提高ISP估算精度.     

Improving impervious surface estimation: an integrated method of classification and regression trees (CART) and linear spectral mixture analysis (LSMA) based on error analysis

Classification and regression tree (CART) has been widely implemented to estimate impervious surface, an important indicator of urbanization and environmental quality. Although the CART algorithm gains higher overall accuracy than linear regression models, only very few studies have noticed that reliability of CART is affected by systematic errors. Especially, CART typically overestimates impervious surfaces in low-density urban areas and underestimates them in high-density urban areas. The primary objective of this study is to develop an improved integrated method to estimate impervious surface with higher accuracy by reducing the systematic errors of CART. This improved method was applied to three urban areas, Chicago (United States), Venice (Italy), and Guangzhou (China) to examine its effectiveness. When compared with the conventional CART, overall mean average error (MAE) and root mean square error (RMSE) of improved method are decreased by 22.64% and 20.93%, respectively, and R² rises from 0.9 to 0.96. In high-density impervious surfaces, where intensely developed urban area is located, the MAE and RMSE for the improved method are 0.066 and 0.088, respectively, largely improved from 0.100 to 0.130. Since accurate estimation of high-density impervious surfaces is the fundamental issue for monitoring and understanding the urban environment, the improved method demonstrated in this study is significant.     

广东沿岸海雾决策树预报模型

利用汕头、珠海和湛江地面观测站2000-2008年1-5月的海雾历史观测资料和NCEP/NCAR FNL再分析资料,采用分类与回归树(CART)方法对海雾及其生成前24 h的海洋气象条件进行分类分析,建立了海雾决策树预报模型;并根据现有的海雾理论认识,对海雾预报规则包含的物理意义进行讨论.10次交叉检验的结果表明:采用...     

基于水稻特征波段的决策树分类研究

针对种植结构复杂、地形复杂的水稻种植面积遥感提取精度不高现象,结合多时相遥感影像中反映水稻物候规律的特征波段,以南京江宁丘陵山区为例,选择典型水稻物候期时相的TM数据,基于多特征波段构建决策树分类提取水稻种植面积。结果表明:纹理、植被指数、湿度因子、坡度因子等多特征参与决策树分类能够提高总体精度;在具有两期物候数据时提取精度和效率较好,而加入了地形特征的水稻抽穗期数据比水稻灌浆期数据获取效果略好。因此,利用合理的作物物候期数据和该遥感影像的特征波段可有效提高分类精度,为地块破碎区作物种植面积提取提供有效手段。     

A late-glacial transition from Picea glauca to Picea mariana in southern New England

Picea is an important taxon in late-glacial pollen records from eastern North America, but little is known about which species of Picea were present. We apply a recently developed palynological method for discriminating the three Picea species in eastern North America to three records from New England. Picea glauca was dominant at  14,500–14,000 cal yr BP, followed by a transition to Picea mariana between  14,000 and 13,500 cal yr BP. Comparison of the pollen data with hydrogen isotope data shows clearly that this transition began before the beginning of the Younger Dryas Chronozone. The ecological changes of the late-glacial interval were not a simple oscillation in the position of a single species' range, but rather major changes in vegetation structure and composition occurring during an interval of variations in several environmental factors, including climate, edaphic conditions, and atmospheric CO₂ levels.     

综合非光谱信息的荒漠化土地CART分类

用遥感手段对荒漠化进行监测是当前荒漠化研究的热点问题,传统的荒漠化遥感信息自动提取方法是基于光谱特征的图像分割,受多种因素的影响,分类精度的提高遇到瓶颈,因此基于知识的分类方法应运而生。CART是一种非参数化的分类与回归方法,在用于遥感影像自动分类时,可以方便地应用多源知识,提高分类精度。本文在分析了CART方法原理的基础上,针对荒漠化地区各种地物的特点,将包括地物光谱知识、纹理知识、植被盖度等在内的多种知识融入CART模型,克服了单纯利用光谱特征进行分类的不足,取得了85.94%的精度。     

西藏尼洋河水生生物群落时空动态及与环境因子关系:2.着生藻类

本文于2008-2009年按照季节调查了西藏地区尼洋河着生藻类群落的组成、丰度和多样性,并运用多元统计方法定量分析了着生藻类的空间和季节变化特征及其与主要环境因子之间的关系.结果显示,尼洋河着生藻类共计6门30科49属,其中硅藻为优势着生藻类.着生藻类的Shannon-Wiener多样性指数在尼洋河中游最高,在中上游河段和中下游河段呈下降趋势,符合中间高度膨胀(mid-altitude bulge)假说.着生藻类的总丰度、物种丰富度以及Shannon-Wiener多样性指数在尼洋河沿程不存在显著差异,总丰度在各个季节之间不存在显著差异,但物种丰富度在秋季和冬季存在显著差异,夏、秋季着生藻类的Shannon-Wiener多样性指数显著高于冬、春季.主成分分析(PCA)表明,随着海拔的升高,着生藻类的物种丰富度和总丰度呈递减趋势;典范对应分析(CCA)表明,尼洋河部分硅藻与理化因子相关联,如:双壁藻(Diploneis)的丰度与总磷相关联,窗纹藻(Epithemia)的丰度与铵态氮相关联,双菱藻属(Surirella)的丰度与pH值相关联;部分绿藻与理化因子相关联,如:小球藻属(Chlorella)、栅藻属(Scenedesmus)、溪菜属(Prasiola)的丰度与水温相关联,小椿藻(Characium)的丰度与硬度相关联,转板藻(Mougeotia)的丰度与表层溶氧、矿化度相关联,新月藻属(Closterium)的丰度与碱度相关联;分类回归树(CART)模型预测了尼洋河着生藻类时空分布与主要环境因子之间的定量关系,即低海拔水域的着生藻类总丰度较高海拔高,高矿化度水域的着生藻类总丰度较低矿化度的高,不能用影响尼洋河着生藻类种类和数量的环境因子来解释着生藻类的Shannon-Wiener多样性指数.这些关键环境因子对尼洋河水域着生藻类的时空变化有着重要的指示作用,建议加强对着生藻类及这些环境因子的关注,保障尼洋河水域生态环境的可持续发展.     

基于CART算法的夏季高温预测模型构建与应用

以夏季高温有效积温的多年平均值作为判断夏季高温炎热程度的标准,借助CART算法探究东亚夏季风指数,夏季印缅槽,夏季北大西洋涛动(NAO),赤道太平洋海温等多项气候因子与高温的关系,得到高温预测规则集,建立高温的预测模型。研究中选取1955—2012年福建漳州夏季的日最高气温等站点气温资料,通过计算58 a的夏季高温有效积温数值来判定夏季的炎热程度。将同一时期的多项气候因子数据作为输入变量输入,算法会随机选出其中46 a的数据得到10条分类规则集,建立的预测模型准确率达到91. 49%。用剩下的12 a数据进行检验,准确率达到91. 67%。研究结果较好地验证了高温预测模型的可行性和有效性,为灾害性天气模型的研究提供了新思路。     

Examining the distribution and dynamics of impervious surface in different function zones in Beijing

Impervious surface (IS) is often recognized as the indicator of urban environmental changes. Numerous research efforts have been devoted to studying its spatio-temporal dynamics and ecological effects, especially for the IS in Beijing metropolitan region. However, most previous studies primarily considered the Beijing metropolitan region as a whole without considering the differences and heterogeneity among the function zones. In this study, the subpixel impervious surface results in Beijing within a time series (1991, 2001, 2005, 2011 and 2015) were extracted by means of the classification and regression tree (CART) model combined with change detection models. Then based on the method of standard deviation ellipse, Lorenz curve, contribution index (CI) and landscape metrics, the spatio-temporal dynamics and variations of IS (1991, 2001, 2011 and 2015) in different function zones and districts were analyzed. It is found that the total area of impervious surface in Beijing increased dramatically during the study period, increasing about 144.18%. The deflection angle of major axis of standard deviation ellipse decreased from 47.15° to 38.82°, indicating the major development axis in Beijing gradually moved from northeast-southwest to north-south. Moreover, the heterogeneity of impervious surface’s distribution among 16 districts weakened gradually, but the CI values and landscape metrics in four function zones differed greatly. The urban function extended zone (UFEZ), the main source of the growth of IS in Beijing, had the highest CI values. Its lowest CI value was 1.79 that is still much higher than the highest CI value in other function zones. The core function zone (CFZ), the traditional aggregation zone of impervious surface, had the highest contagion index (CONTAG) values, but it contributed less than UFEZ due to its small area. The CI value of the new urban developed zone (NUDZ) increased rapidly, and it increased from negative to positive and multiplied, becoming an important contributor to the rise of urban impervious surface. However, the ecological conservation zone (ECZ) had a constant negative contribution all the time, and its CI value decreased gradually. Moreover, the landscape metrics and centroids of impervious surface in different density classes differed greatly. The high-density impervious surface had a more compact configuration and a greater impact on the eco-environment.