Improving gravity anomalies over China marginal sea from retracked Geosat and ERS-1 data

The quality of altimeter data and ocean tide model is critical to the recovery of coastal gravity anomalies. In this contribution, three retracking methods (threshold, improved threshold and Beta-5) are investigated with the aim of improving the altimeter data over a shallow water area. Comparison indicates that the improved threshold is the best retracking method over China Sea. Two ocean tide models, NAO99b and CSR4.0, are analyzed. Results show that different tide models used in the processing of altimeter data may result in differences more than 10 mGal in recovered coastal gravity anomalies. Also, NAO99b is more suitable than CSR4.0 over the shallow water area of China Sea. Finally, gravity anomalies over China Sea are calculated from retracked Geosat/GM and ERS-1/GM data by least squares collocation. Comparison with shipborne gravimetry data demonstrates that gravity anomalies from retracked data are significantly superior to those from non-retracked data. Our results have the same order as the other two altimeter-derived gravity models: Sandwell&Smith(V16) and DNSC08.     

Vulnerability Assessment and Earthquake Risk Mapping in Part of North Iran Using Geospatial Techniques

Earthquakes cause huge loss of lives and infrastructure every year in Iran. Many settlement areas (urban & rural) as well as Tehran, the capital city of Iran are located in the hazardous area. This research deals with the earthquake risk assessment and mapping based on recent remote sensing information on a GIS platform. The study area is part of Central Alborz in southern Caspian Sea and north of capital city of Tehran called Marzanabad area. It is a potentially high-risk zone as several earthquakes have occurred in the past. The study’s main objective is to develop an Earthquake Risk Map at the scale of 1:25,000 to identify high-risk zone and vulnerability areas to the settlements and infrastructure of area. Digital lineaments wear extraction and analysis for identification the faults using several RADAR and optical images with spatial analysis techniques. The probable faults were detected by superimposition of the lithological and geomorphologic features and their variance over the lineaments in a GIS environment. This research work involved fault identification on the remote sensed dataset as well as field studies and the risky areas were classified in the vicinity of the faults by applying different buffer with specifying distance of the source/site of risk to fault location. Statistical analysis of Earthquake Risk Map (ERM) by GIS indicated that 32% of the total area with about 66% of settlements and 52% of population is located in strongly high-risk and high-risk zone. Moderately low risk and low risk zones cover 38.67% of total area, which is free of settlements as well as population. The Earthquake map elaborated in this research work will be a useful tool for disaster management as well as urban and regional planning of future activities in the area.     

An Introduction to MODISI and SCMOD Methods for Correction of the MODIS Snow Assessment Algorithm

Detection, monitoring and precise assessment of the snow covered regions is an important issue. Snow cover area and consequently the amount of runoff generated from snowmelt have a significant effect on water supply management. To precisely detect and monitor the snow covered area we need satellite images with suitable spatial and temporal resolutions where we usually lose one for the other. In this study, products of two sensors MODIS and ASTER both on board of TERRA platform having low and high spatial resolution respectively were used. The objective of the study was to modify the snow products of MODIS by using simultaneous images of ASTER. For this, MODIS snow index image with high temporal resolution were compared with that of ASTER, using regression and correlation analysis. To improve NDSI index two methods were developed. The first method generated from direct comparison of ASTER averaged NDSI with those of MODIS (MODISI). The second method generated by dividing MODIS NDSI index into 10 codes according to their percentage of surface cover and then compared the results with the difference between ASTER averaged and MODIS snow indices (SCMOD). Both methods were tested against some 16 MODIS pixels. It is found that the precision of the MODISI method was more than 96%. This for SCMOD was about 98%. The RMSE of both methods were as good as 0.02.     

Regaining momentum for international climate policy beyond Copenhagen

The 'Copenhagen Accord' fails to deliver the political framework for a fair, ambitious and legally-binding international climate agreement beyond 2012. The current climate policy regime dynamics are insufficient to reflect the realities of topical complexity, actor coalitions, as well as financial, legal and institutional challenges in the light of extreme time constraints to avoid 'dangerous' climate change of more than 2°C. In this paper we analyze these stumbling blocks for international climate policy and discuss alternatives in order to regain momentum for future negotiations.     

太原市现代测绘基准的建立方法与实现

介绍太原市现代测绘基准的建市方案和实施过程,内容包括GPS C级点建设,二、三等水准测量,大地水准面精化,TYCORS系统建设和太原市2008城市独立坐标系的建市及应用等.     

基于升降轨ASAR的于田Ms 7.3级地震同震形变场信息提取与分析

升降轨干涉测量可以更好地反映地震同震形变场特征。利用欧空局ASAR数据通过二轨法差分干涉测量提取了新疆于田县Ms 7.3级地震升降轨同震形变场信息。结果显示:升轨同震形变场最大视线向(LOS)隆升形变量约+13.3 cm,沉降形变量约-83.9 cm;降轨同震形变场最大LOS向隆升形变量约+36.5 cm,沉降形变量约-66.5 cm。于田地震以NNE向正断层破裂为主,并伴随左旋走滑运动,西北盘为正断层破裂的上盘(沉降盘),东南盘为正断层破裂的下盘(隆升盘)。升降轨同震形变场存在一定差异,但其变化趋势与特征非常相似,其差异主要是由于两种不同观测模式所造成的。     

江汉-洞庭盆地及华容隆起新构造运动特征遥感分析

长江流域基础地质遥感调查与监测,采用2000年左右获取的1:25万Landsat ETM图像进行地貌、第四纪地质和新构造遥感调查与研究.针对洞庭湖重点区,采用航片、ALOS、SPOT等高分辨率数据进行1:5万详细遥感调查.通过调查与综合分析认为:江汉-洞庭盆地为-燕山晚期至新生代形成的断陷盆地,总体处于沉降状态,盆地内部因差异抬升作用形成华容次级隆起,从而在山区广泛沉积了河湖相、冲洪积相及山麓相的第四纪沉积物,盆地内部第四系基本为连续沉积.江汉-洞庭盆地周围隆起区则呈间歇性抬升.新构造运动主要表现为隆起与拗陷、掀斜和断裂等几种形式,其构造沉降与周边山体隆升主要受盆地边缘和盆地内部断裂的控制.     

机载激光雷达技术在水利水电工程中的应用

本文简要介绍了机载激光雷达技术的特点,并结合我国西部某水电工程测绘项目的实际应用情况,介绍了该项技术在困难地区进行测绘信息采集中的特殊的应用价值。     

Accuracy improvement of ASTER stereo satellite generated DEM using texture filter

The grid DEM(digital elevation model) generation can be from any of a number of sources:for instance,analogue to digital conversion of contour maps followed by application of the TIN model,or direct elevation point modelling via digital photogrammetry applied to airborne images or satellite images.Currently,apart from the deployment of point-clouds from LiDAR data acquisition,the generally favoured approach refers to applications of digital photogrammetry.One of the most important steps in such deployment i...     

Geo-scape,a granularity depended spatialization tool for visualizing multidimensional data sets

Recently,the expertise accumulated in the field of geovisualization has found application in the visualization of abstract multidimensional data,on the basis of methods called spatialization methods.Spatialization methods aim at visualizing multidimensional data into low-dimensional representational spaces by making use of spatial metaphors and applying dimension reduction techniques.Spatial metaphors are able to provide a metaphoric framework for the visualization of information at different levels of gran...