虚拟现实技术在矿物数字博物馆中的应用   总被引：1，自引：0，他引：1  

聂俊丽  朱杰勇  陈刚 《云南地质》2005,24(1):122-129

详细介绍基于照片的虚拟现实技术在矿物数字博物馆中的实现方法和应用,并对VRML与基于照片的虚拟现实技术进行分析研究,进而对两种实现方法的发展方向和应用前景提出见解。  相似文献   

普朗铜矿找矿标志及找矿模型   总被引：8，自引：0，他引：8  

李光军  谭康华  张世权  黄定柱  孟青 《云南地质》2005,24(2):175-185

普朗铜矿矿体形态简单,以铜为主,伴生金、硫等多种有益组份。找矿标志为深大断裂旁侧的次级两组断裂交汇部位;特别是多种岩类的杂岩体,裂隙发育地段;斑岩体靠沟谷部位(负地形)等。土壤化探异常Cu>400×10-6和Mo>10×10-6异常叠加部位;视极化率大于10%的激电异常,磁异常约50～100nT的部位等。初步建立找矿模型,运用该模型,在矿区外围已发现普上、亚杂等一批铜(多金属)矿体,矿化体,具有明显的找矿指导意义。  相似文献   

河北大麻坪宝石级橄榄石物理化学性质及成因     

唐雪莲 《云南地质》2005,24(2):218-224

对河北大麻坪宝石级橄榄石物理化学及宝石学特征进行研究后，初步提出矿床成因模式，对于相似地区的碱性玄武岩地区的橄榄石宝石矿床的勘探有指导意义。  相似文献   

用气象卫星资料估算吉林省主要农作物产量   总被引：1，自引：0，他引：1  

晏明刘志明  晏晓英 《气象科技》2005,33(4):350-354

净第一性生产力（Npp）分析是全球变化研究中广为利用的方法，利用气象卫星资料获得年际植被指数（Iv）估算Npp建立不同作物的Npp与其产量的关系模型，即可实现对粮食总产和不同作物产量的估算。文中介绍了应用净第一性生产力遥感（NPP—RS）模型对吉林省粮食总产和主要作物产量进行估算的方法。采用NPP—RS模型，对1995～2000年吉林省的粮食总产及主要农作物玉米、水稻产量进行了动态估算。对粮食总产估产的平均相对误差为13．6％，玉米的平均相对误差为17．6％，水稻的平均相对误差为6．7％。要提高用此方法进行遥感估产的精度，还需要对当年的种植制度、种植结构的变化有所了解，注意当年的灾情，增加灾害影响系数。  相似文献   

电子地图的数据结构与模型   总被引：1，自引：0，他引：1  

钱程扬  龙毅  柳青  张亮 《现代测绘》2005,28(4):9-12

电子地图是集地图表达、数据处理、地图分析为一体的新型地图产品，其数据组织形式直接关系到电子地图的质量与性能。本文对几种数据结构和模型进行了分析、比较，并探讨了它们在电子地图领域的应用前景。  相似文献   

2004年印度洋海啸印尼亚齐省灾情遥感监测与分析   总被引：4，自引：1，他引：4  

黄诗峰  李琳  徐美  李小涛  苏东升 《遥感学报》2005,9(4):503-508

2004年12月底印尼苏门答腊岛西北海岸发生里氏9.0级地震,引发印度洋沿岸的印尼、斯里兰卡、泰国、印度等国家先后遭受强烈海啸。印度尼西亚亚齐省是遭受海啸灾害最严重的地区之一。为了评估海啸灾害造成的严重影响,应用遥感和地理信息系统技术,以2005-01-07英国DMC小卫星遥感影像为基础数据源,结合收集到的该地区灾前(2001年)LandsatETM 遥感影像,对亚齐省进行了监测和快速评估。监测结果表明距离震中位置较近的亚齐省苏门答腊岛西海岸遭受影响较严重,亚齐省苏门答腊岛西海岸由于距离震中位置较近遭受严重影响,而苏门答腊岛东海岸则影响较轻,受灾最严重的地区是亚齐省首府班达亚齐市附近。经统计,整个亚齐省遭受海啸严重影响的地区面积约为483km2,其中城市建成区受淹面积约为26·2km2,乡村(镇)地区受淹面积约为430·5km2。文章的最后还结合数字高程模型对海啸灾情的结果进行了分析。结果表明,绝大多数因海啸而受淹地区高程低于20m。  相似文献   

Outlier detection algorithms and their performance in GOCE gravity field processing   总被引：2，自引：0，他引：2  

M. Kern  T. Preimesberger  M. Allesch  R. Pail  J. Bouman  R. Koop 《Journal of Geodesy》2005,78(9):509-519

The satellite missions CHAMP, GRACE, and GOCE mark the beginning of a new era in gravity field determination and modeling. They provide unique models of the global stationary gravity field and its variation in time. Due to inevitable measurement errors, sophisticated pre-processing steps have to be applied before further use of the satellite measurements. In the framework of the GOCE mission, this includes outlier detection, absolute calibration and validation of the SGG (satellite gravity gradiometry) measurements, and removal of temporal effects. In general, outliers are defined as observations that appear to be inconsistent with the remainder of the data set. One goal is to evaluate the effect of additive, innovative and bulk outliers on the estimates of the spherical harmonic coefficients. It can be shown that even a small number of undetected outliers (<0.2 of all data points) can have an adverse effect on the coefficient estimates. Consequently, concepts for the identification and removal of outliers have to be developed. Novel outlier detection algorithms are derived and statistical methods are presented that may be used for this purpose. The methods aim at high outlier identification rates as well as small failure rates. A combined algorithm, based on wavelets and a statistical method, shows best performance with an identification rate of about 99%. To further reduce the influence of undetected outliers, an outlier detection algorithm is implemented inside the gravity field solver (the Quick-Look Gravity Field Analysis tool was used). This results in spherical harmonic coefficient estimates that are of similar quality to those obtained without outliers in the input data.  相似文献   

World-wide synthetic tide parameters for gravity and vertical and horizontal displacements   总被引：3，自引：0，他引：3  

K.H. Zahran  G. Jentzsch  G. Seeber 《Journal of Geodesy》2005,79(6-7):293-299

The response of the Earth’s crust to the direct effect of lunisolar gravitational forcing is known as the body tide. The body tide is superimposed by surface-loading forces due to the pressure of the periodically varying ocean tide acting on the Earth, called ocean tide loading (OTL). Both body tide and OTL can be decomposed into components of the same frequency known as tidal parameters. However, OTL is more complicated than body tides because of the dynamic effects of the ocean. Estimating OTL requires a model of the ocean tides and knowledge of the elastic properties of the solid Earth. Thus, synthetic tide parameters (amplitude factors and phase leads) have been developed here on a world-wide grid for gravity and positional displacements. The body tide contributions were added to the oceanic contribution to provide the Earth tide response. The accuracy and reliability of the synthetic tidal parameters have been estimated by comparing observed gravity and vertical-displacement tide parameters with those interpolated from our synthetic model, which shows good agreement. Tests also indicate that the synthetic tide parameters provide realistic gravimetric and displacements for practical use in tidal prediction.  相似文献   

河北省沙尘暴天气成因分析   总被引：3，自引：4，他引：3  

尤凤春  史印山  付桂琴  安月改 《高原气象》2005,24(4):642-647

分析了河北省沙尘暴天气的演变特征，在此基础上又从气候及大气环流形势变化、动力诊断等方面对河北省沙尘暴天气成因进行了初步分析。结果表明：近年来河北省地区春季降雨持续偏少，气温持续偏高，为沙尘暴的形成提供了有利条件；而有利的大气环流形势和较强冷空气频繁南下是造成沙尘暴明显偏多的主要原因。  相似文献   

Effects of detailed soil spatial information on watershed modeling across different model scales     

Trevor Quinn  A.-Xing Zhu  James E. Burt   《International Journal of Applied Earth Observation and Geoinformation》2005,7(4):324-338

Hydro-ecological modelers often use spatial variation of soil information derived from conventional soil surveys in simulation of hydro-ecological processes over watersheds at mesoscale (10–100 km²). Conventional soil surveys are not designed to provide the same level of spatial detail as terrain and vegetation inputs derived from digital terrain analysis and remote sensing techniques. Soil property layers derived from conventional soil surveys are often incompatible with detailed terrain and remotely sensed data due to their difference in scales. The objective of this research is to examine the effect of scale incompatibility between soil information and the detailed digital terrain data and remotely sensed information by comparing simulations of watershed processes based on the conventional soil map and those simulations based on detailed soil information across different simulation scales. The detailed soil spatial information was derived using a GIS (geographical information system), expert knowledge, and fuzzy logic based predictive mapping approach (Soil Land Inference Model, SoLIM). The Regional Hydro-Ecological Simulation System (RHESSys) is used to simulate two watershed processes: net photosynthesis and stream flow. The difference between simulation based on the conventional soil map and that based on the detailed predictive soil map at a given simulation scale is perceived to be the effect of scale incompatibility between conventional soil data and the rest of the (more detailed) data layers at that scale. Two modeling approaches were taken in this study: the lumped parameter approach and the distributed parameter approach. The results over two small watersheds indicate that the effect does not necessarily always increase or decrease as the simulation scale becomes finer or coarser. For a given watershed there seems to be a fixed scale at which the effect is consistently low for the simulated processes with both the lumped parameter approach and the distributed parameter approach.  相似文献