高分辨率遥感影像通用定位模型探讨

由于通用传感器模型与具体的传感器无关,因而更能适应传感器成像方式多样化的发展要求,所以通用传感器模型的研究已成为当前摄影测量与遥感领域的一个重要研究方向。在对包括多项式模型、直接线性变换模型和有理函数模型在内的通用传感器模型的定义,参数解算和模型定位进行系统归纳的基础上,对基于通用传感器模型的高分辨率遥感影像的立体像对定位方法进行了理论和实验研究,并对实验结果进行了比较和分析。     

CorelDRAW X5中基于VBA实现线渐变的技术研究

主要介绍在CorelDRAW X5中通过VBA的程序开发环境下实现线渐变的方法,通过开发出河流渐变工具,以单线河流渐变为例,解决了通过CorelDRAW X5进行地图制图过程中遇到的单线河流渐变的问题。     

基于有理函数模型的线阵CCD遥感影像水平纠正技术

利用有理函数模型替代严格传感器模型已经成为当前高分辨率遥感影像通用的数据标准.对于附加有理函数模型系数的线阵CCD遥感影像,提出了一种利用反解有理函数模型实现倾斜像片与水平像片转换方法.其主要原理同传统框幅式倾斜影像与水平影像的转换相似:将倾斜像片上像点投影到物方水平面上;然后在物方水平面上根据原始倾斜像片的地面采样间...     

利用遥感技术建立墨西哥热带地上生物量模型(英文)

Spatially-explicit estimation of aboveground biomass(AGB) plays an important role to generate action policies focused in climate change mitigation,since carbon(C) retained in the biomass is vital for regulating Earth’s temperature.This work estimates AGB using both chlorophyll(red,near infrared) and moisture(middle infrared) based normalized vegetation indices constructed with MCD43A4 MODerate-resolution Imaging Spectroradiometer(MODIS) and MOD44B vegetation continuous fields(VCF) data.The study area is located in San Luis Potosí,Mexico,a region that comprises a part of the upper limit of the intertropical zone.AGB estimations were made using both individual tree data from the National Forest Inventory of Mexico and allometric equations reported in scientific literature.Linear and nonlinear(expo-nential) models were fitted to find their predictive potential when using satellite spectral data as explanatory variables.Highly-significant correlations(p = 0.01) were found between all the explaining variables tested.NDVI62,linked to chlorophyll content and moisture stress,showed the highest correlation.The best model(nonlinear) showed an index of fit(Pseudo-r2) equal to 0.77 and a root mean square error equal to 26.00 Mg/ha using NDVI62 and VCF as explanatory variables.Validation correlation coefficients were similar for both models:lin-ear(r = 0.87**) and nonlinear(r = 0.86**).     

北京市住宅用地开发压力与城市扩张预景——基于阻力面的分析

基于城市经济学的一般理论,从市场机制下的供给方视角出发,提出了预测大都市区住房建设区位选择的一个新模型,并利用2005～2009年北京市新增住宅项目的抽样空间数据进行了实证研究,进而应用阻力面模型模拟了北京市未来住宅建设用地开发压力和城市扩张的空间格局。研究表明:北京市的新增住房用地区位选择总体上符合单中心同心圆的基本模型,但正在逐渐向等级制特征下的多中心格局演化,北部、西北部区县的中心城区以及南部新城、新开发区周边更有可能成为潜在的下一轮住宅建设核心区,从而成为城市扩张的重点区域。     

江苏省开发区土地集约利用的分层线性模型实证研究

本文构建了分层线性模型以揭示不同层次因素对工业用地集约利用的影响。研究表明,开发区土地集约度的差异有63.96%是开发区本身的差异造成的,有36.04%是区域之间的差异造成的;开发区成立年限、开发区入驻企业数量和开发区土地政策强度在区域之间存在明显的变异,开发区区位和开发区级别对开发区土地集约度的关系不依赖于区域环境的变化;区域工业产值和区域城市化率两个变量对开发区成立年限和开发区土地集约度的正向关联影响不显著;区域工业产值会强化开发区入驻企业数量和开发区土地集约度之间的正向关联,而区域城市化率则弱化了开发区入驻企业数量和开发区土地集约度之间的正向关联;开发区土地政策强度和开发区土地集约度之间的正向关系受区域工业产值的影响不大,而区域城市化率会强化开发区土地政策强度和开发区土地集约度之间的正向关系;区域层次变量解释了18.18%的开发区入驻企业数量与开发区土地集约度之间的相关,解释了11.27%的开发区土地政策强度与开发区土地集约度之间的相关。     

南疆铁路沿线地区城市化与土地利用相关分析

 以南疆铁路沿线的5个中心城市为基本单元,根据1993—2008年的城市化与城市建设用地结构方面的数据,分析了5个中心城市的城市化与城市建设用地之间的相关性。南疆铁路沿线5个中心城市目前的平均城市化率为48%,已进入了快速城市化发展阶段。研究结果表明,随着城市化的发展,城市建设用地结构也发生相应的变化。在用地结构中,居住用地、工业用地比例降低;公共设施用地、道路广场用地、绿地比例增加,仓储用地、对外交通用地和特殊用地比例呈现基本稳定趋势。城市建设的不断完善、城市化率的提高是促进建设用地结构变化的主要因素。     

Agricultural land use dynamics in the Brazilian Amazon based on remote sensing and census data

The potential impact of deforestation in the Brazilian Amazon on greenhouse gas emissions to the atmosphere calls for policies that take account of changes in forest cover. Although much research has focused on the location and effects of deforestation, little is known about the distribution and reasons for the agricultural uses that replace forest cover. We used Landsat TM-based deforestation and agricultural census data to generate maps of the distribution and proportion of four major agricultural land uses throughout the Brazilian Amazon in 1997 and 2007. We built linear and spatial regression models to assess the determinant factors of deforestation and those major agricultural land uses - pasture, temporary agriculture and permanent agriculture - for the states of Pará, Rondônia, and Mato Grosso. The data include 30 determinant factors that were grouped into two years (1996 and 2006) and in four categories: accessibility to markets, public policies, agrarian structure, and environment. We found an overall expansion of the total agricultural area between 1997 and 2007, and notable differences between the states of Pará, Rondônia, and Mato Grosso in land use changes during this period. Regression models for deforestation and pasture indicated that determinant factors such as distance to roads were more influential in 1997 than in 2007. The number of settled families played an important role in the deforestation and pasture, the effect was stronger in 2007 than 1997. Indigenous lands were significant in preventing deforestation in high-pressure areas in 2007. For temporary and permanent agricultures, our results show that in 1997 the effect of small farms was stronger than in 2007. The mapped land use time series and the models explain empirically the effects of land use changes across the region over one decade.     

Using multilevel modeling and geographically weighted regression to identify spatial variations in the relationship between place-level disadvantages and obesity in Taiwan

Objectives

We examined whether and to what extent the relationship between township disadvantages and obesity varied across geographical areas.

Methods

A cross-sectional analysis of a population-based sample of Taiwanese adults (N = 25,985) from the 2005 Social Development Trend Survey on Health and Safety was performed. Multilevel models integrated with geographically weighted regressions were employed to analyze the spatially varying association between area disadvantages and obesity. The dependent variable was body mass index calculated from respondents’ self-reported weight and height. The key explanatory variable was a township disadvantage index made of poverty level, minority composition, and social disorder. Other individual socio-demographic characteristics were included to account for the compositional effect.

Results

The association between township disadvantages and elevated obesity risk in Taiwan was found to be area-specific. In contrast to results from the commonly used global regression, geographically weighted regression model showed that township disadvantages elevated obesity level only in certain areas.

Conclusions

We found heterogeneity of place-level determinants of obesity across geographical areas. Adoption of population approach to curb obesity would require area-specific strategies for most needed areas.     

旋转扁椭球水滴散射特性的快速算式研究

利用DDA(Discrete Dipole Approximation)算法产生的旋转扁椭球水滴散射特征数据进行了多项式拟合,以3.2mm波长为例,给出了两种偏振状态下后向散射和衰减效率的快速算式。对比分析了快速算式结果和DDA数据的独立样本,结果表明,快算结果的绝对相对误差在5%以内,而耗时仅用DDA算法产生这些数据所用时间的10-6量级。所得结果可直接用于云降水区含扁椭球形水滴情况下的雷达回波模拟、雷达资料定量处理和毫米波雷达的衰减订正等,此方法还可用于其他波长、形状的水滴和冰晶。