Approaches for comparative evaluation of raster GIS-based landslide susceptibility zonation maps

Evaluation of maps generated from different conceptual models or data processing approaches at spatial level has importance in many geoenvironmental applications. This paper addresses the spatial comparison of different landslide susceptibility zonation (LSZ) raster maps of the same area derived from various procedures.     

A sub-pixel analysis of urbanization effect on land surface temperature and its interplay with impervious surface and vegetation coverage in Indianapolis,United States

This study developed an analytical procedure based upon a spectral unmixing model for characterizing and quantifying urban landscape changes in Indianapolis, Indiana, the United States, and for examining the environmental impact of such changes on land surface temperatures (LST). Three dates of Landsat TM/ETM+ images, acquired in 1991, 1995, and 2000, respectively, were utilized to document the historical morphological changes in impervious surface and vegetation coverage and to analyze the relationship between these changes and those occurred in LST. Three fraction endmembers, i.e., impervious surface, green vegetation, and shade, were derived with an unconstrained least-squares solution. A hybrid classification procedure, which combined maximum-likelihood and decision-tree algorithms, was developed to classify the fraction images into land use and land cover classes. Correlation analyses were conducted to investigate the changing relationships of LST with impervious surface and vegetation coverage. Results indicate that multi-temporal fraction images were effective for quantifying the dynamics of urban morphology and for deriving a reliable measurement of environmental variables such as vegetation abundance and impervious surface coverage. Urbanization created an evolved inverse relationship between impervious and vegetation coverage, and brought about new LST patterns because of LST's correlations with both impervious and vegetation coverage. Further researches should be directed to refine spectral mixture modeling by stratification, and by the use of multiple endmembers and hyperspectral imagery.     

Estimating Influence of Crystallizing Latent Heat on Cooling-Crystallizing Process of a Granitic Melt and Its Geological Implications

Based on the theory of thermal conductivity, in this paper we derived a formula to estimate the prolongation period （AtL） of cooling-crystallization process of a granitic melt caused by latent heat of crystallization as follows：△tL=QL×△tcol/（TM-TC）×CP where TM is initial temperature of the granite melt, Tc crystallization temperature of the granite melt, Cp specific heat, △tcol cooling period of a granite melt from its initial temperature （TM） to its crystallization temperature （Tc）, QL latent heat of the granite melt.
The cooling period of the melt for the Fanshan granodiorite from its initial temperature （900℃） to crystallization temperature （600℃） could be estimated -210,000 years if latent heat was not considered. Calculation for the Fanshan melt using the above formula yields a AtL value of -190,000 years, which implies that the actual cooling period within the temperature range of 900°-600℃ should be 400,000 years. This demonstrates that the latent heat produced from crystallization of the granitic melt is a key factor influencing the cooling-crystallization process of a granitic melt, prolongating the period of crystallization and resulting in the large emplacement-crystallization time difference （ECTD） in granite batholith.     

From 2D TO 3D Through Modelling Based On A Single Image

Three-dimensional modelling from single images remains an interesting topic of investigation in the research community, even though range sensors are becoming a common alternative for the generation of 3D information. The interest in single-image-based modelling is motivated by a wide spectrum of applications such as cultural heritage, civil engineering, urban planning and even criminology. In this paper a complete new production flowline is presented for modelling based on a single image. The modelling process consists of a series of familiar steps in photogrammetry and computer vision: feature extraction, vanishing point computation, camera self-calibration, 3D reconstruction and dimensional analysis. In particular, the methodology developed for single-image-based modelling takes a scientific approach combining several proven techniques with robust estimators. Finally, in order to demonstrate its capabilities, the reported examples include several real situations applied in different contexts.     

神木北部矿区5-2煤层厚度及其底板高程趋势分析

为了查清神木北部矿区5-2煤层赋存特征及成因,选取了该矿区172个典型钻孔数据,用趋势分析法研究了5-2煤层的厚度及其底板高程度变化特征。结果显示:该区煤层厚度总体为南北厚中部薄,东厚西薄;底板高程为南北高中部低,东高西低;煤层厚度和其底板高程间普遍存在正相关关系。在该区构造稳定的背景下,后期改造对煤层厚度及其底板的影响很小,煤层赋存特征主要受沉积与剥蚀的控制。     

A framework of region-based spatial relations for non-overlapping features and its application in object based image analysis

Object based image analysis (OBIA) is an approach increasingly used in classifying high spatial resolution remote sensing images. Object based image classifiers first segment an image into objects (or image segments), and then classify these objects based on their attributes and spatial relations. Numerous algorithms exist for the first step of the OBIA process, i.e. image segmentation. However, less research has been conducted on the object classification part of OBIA, in particular the spatial relations between objects that are commonly used to construct rules for classifying image objects and refining classification results. In this paper, we establish a context where objects are areal (not points or lines) and non-overlapping (we call this “single-valued” space), and propose a framework of binary spatial relations between segmented objects to aid in object classification. In this framework, scale-dependent “line-like objects” and “point-like objects” are identified from areal objects based on their shapes. Generally, disjoint and meet are the only two possible topological relations between two non-overlapping areal objects. However, a number of quasi- topological relations can be defined when the shapes of the objects involved are considered. Some of these relations are fuzzy and thus quantitatively defined. In addition, we define the concepts of line-like objects (e.g. roads) and point-like objects (e.g. wells), and develop the relations between two line-like objects or two point-like objects. For completeness, cardinal direction relations and distance relations are also introduced in the proposed context. Finally, we implement the framework to extract roads and moving vehicles from an aerial photo. The promising results suggest that our methods can be a valuable tool in defining rules for object based image analysis.     

基于AHP和BP神经网络的深部地热水可持续开发能力评价

采用资料完整性、开采潜力、回灌量、平均水压下降速率、地面沉降速率、水温、水质、地热井布局8项指标构建天津地热可持续开发能力评价指标体系;运用层次分析法确定了各项指标的权重,建立起评价因素集和评语集,给出了归一化数值;建立了天津地热可持续开发能力的BP神经网络模型,以层次分析法得出的结果作为样本,对BP网络进行了训练和测试,实例评价结果表明了AHP和BP神经网络方法的可行性,为地热资源的可持续开发能力评价提供了一种新的评价方法。     

贵州省排庭金矿地质特征与成因分析

排庭金矿是贵州三都——丹寨锑、汞、金成矿带上,继苗龙锑-金矿、宏发厂汞-金矿后首次发现的产于中下寒武统独立型的微细浸染型金矿,其矿体受断裂构造、地层、岩性等因素控制,矿床规模为中型。对该矿床的地质特征及成因进行总结和分析,对于华南褶皱带与扬子准地台过渡带寻找寒武纪地层中的微细浸染型金矿具有重要的借鉴和指导意义。     

江苏危机矿山深部及外围潜力资源找矿

介绍了危机矿山的定义.对江苏省主要固体矿产矿山的危机程度进行了综合分析.叙述了能源矿产、金属矿产和其他非金属矿产等矿山所属的危机程度.指出了危机矿山存在的主要问题,即矿产资源保证程度低;资源潜力依据充分,但找矿难度大.就江苏危机矿山深部及外围潜力资源找矿工作,提出了一些建议.     

山西省太谷县地质灾害及防治

太谷县地质构造条件复杂,地质灾害破坏严重,随着地区的经济发展,其城镇建设与地质灾害之间的矛盾日益突出。调查显示,太谷县发育地质灾害92处,区内地裂缝占灾害点总数46．7％,主要发育于平原区;不稳定斜坡占灾害点总数32．6％,滑坡占灾害点总数12．0％,且80％为土质滑坡;泥石流以沟谷型为主,占灾害点总数5．4％;崩塌占灾害点总数3．3％。论文研究了区内地质灾害的基本发育特征及其诱发因素。依据地质灾害防治评估划分原则,对不同类型地质灾害按轻、重、缓、急进行分期防治,对重要地质灾害采取具有针对性的工程措施治理。结合地质灾害调查分析,提出了建立群测群防网络、因地制宜、因灾设防等防治对策,为增加防灾减灾效益、环境效益及经济效益提供有力的保证。