Comparative assessment of thematic accuracy of GLC maps for specific applications using existing reference data

Inputs to various applications and models, current global land cover (GLC) maps are based on different data sources and methods. Therefore, comparing GLC maps is challenging. Statistical comparison of GLC maps is further complicated by the lack of a reference dataset that is suitable for validating multiple maps. This study utilizes the existing Globcover-2005 reference dataset to compare thematic accuracies of three GLC maps for the year 2005 (Globcover, LC-CCI and MODIS). We translated and reinterpreted the LCCS (land cover classification system) classifier information of the reference dataset into the different map legends. The three maps were evaluated for a variety of applications, i.e., general circulation models, dynamic global vegetation models, agriculture assessments, carbon estimation and biodiversity assessments, using weighted accuracy assessment. Based on the impact of land cover confusions on the overall weighted accuracy of the GLC maps, we identified map improvement priorities. Overall accuracies were 70.8 ± 1.4%, 71.4 ± 1.3%, and 61.3 ± 1.5% for LC-CCI, MODIS, and Globcover, respectively. Weighted accuracy assessments produced increased overall accuracies (80–93%) since not all class confusion errors are important for specific applications. As a common denominator for all applications, the classes mixed trees, shrubs, grasses, and cropland were identified as improvement priorities. The results demonstrate the necessity of accounting for dissimilarities in the importance of map classification errors for different user application. To determine the fitness of use of GLC maps, accuracy of GLC maps should be assessed per application; there is no single-figure accuracy estimate expressing map fitness for all purposes.     

生态环境遥感分类数据矢量化方法与应用

遥感分类数据矢量化建库是生态环境遥感制图及其应用分析过程中主要的处理内容和基础工作。以福建省海岸带生态环境遥感分类数据为例 ,在分析遥感图像处理系统对遥感分类和专题信息提取后处理中矢量化能力不足和结果存在严重缺陷的基础上 ,综合应用遥感和地理信息基础软件平台 ,提供的系列数据管理、分析和数据转换功能模块 ,开展基于生态环境遥感影像分类数据的矢量化建库技术探讨 ,提出一个生态环境遥感分类数据矢量化建库的通用技术方法和流程 ,并对矢量化结果做了一个简要的评价和分析 ,以满足大面积生态环境遥感调查、分析和制图的实际需要。     

40Ar/39Ar年代学中几个重要问题的讨论

40Ar/39Ar年代学是同位素地质年代学中重要的两个"金钉子"手段之一(另一个为U-Pb法),广泛应用于重大地质事件、地质界线的精确定年,是确定地质年表的主要手段。40Ar/39Ar年代学测定的母体元素钾为常量元素,且实现分析时由于只需测定Ar同位素的比值,因而具有很高的分析精度,因此可以测定非常年轻(数千年)地质体的年龄。此外,由于在自然界中不易发生(物理、化学)反应的特性,Ar在矿物中的扩散可被准确地定量描述,因此40Ar/39Ar年代学也是热年代学的重要支柱,被广泛应用于地球深部物质上涌、折返、剥露、变质的冷却历史,率先提供了解析造山带、地壳作用过程等热历史的定量模型。这些特点使得40Ar/39Ar年代学成为地质年代学的三大支柱之一。那么,近年来该方法发展到了什么程度,其精确度和准确度达到了怎样的高度?为何年轻火山样品中极少发现过剩Ar?高压环境中的样品过剩Ar为何难以辨认?压力影响矿物的封闭温度吗?缓慢冷却K-长石的年龄谱是否可以真实地反映岩体所经历的热历史?多重扩散域模型(MDD)遇到了哪些挑战、该如何应用?40Ar/39Ar法和U-Pb法在构造热过程研究中有何不同的应用?本文对这些问题进行了思考和讨论,以期推动大家对40Ar/39Ar年代学的深入探索,推动其在我国地质研究中的应用。     

Research on Accuracy Validation and Calibration Methods of TRMM Remote Sensing Precipitation Data in Irrawaddy Basin

TRMM daily precipitation data were validated compared to thirteen precipitation observation station data in Irrawaddy basin, and a calibration method of TRMM 3B42 data based on water balance concept was developed. SWAT model was used to calculate water balance, and then the TRMM data calibration ratio was inferred based on it. Average slope of sub-basin was the independent variable, and calibration ration was the dependent variable for the regression analysis. The calibration ratio of sub-basins without hydrological observation stations were calculated according to the average slope, and then the TRMM precipitation were calibrated according to the ratio in the whole basin. Results showed that TRMM annual and monthly precipitation had a highly correlation with observed data, but had a bad bias. Annual precipitation of TRMM precipitation after calibration were nearly the same as observed; monthly precipitation curve were similar with observed. Daily precipitation forecast rank was improved from medium to well, and there were 2 station forecast bad, 7 forecast well and 4 forecast medium before calibration, but 6 forecast well, 2 forecast medium and 5 forecast excellent after calibration. The results proved that TRMM data precision were highly improved over different temporal scales in Irrawaddy basin through this method, data for hydrological and water resources analysis were also provided.     

四川盆地及周边地区TRMM 3B42数据精度检验

多源信息融合的流域水文模拟及预报技术,是目前水文预报发展的一个重要方向。以易发生长江流域特大洪水的四川盆地及周边地区为研究区域,从单个站点及子流域降水量相关性、降雨空间分布和相对误差等方面对TRMM卫星3B42产品探测精度进行了检验分析。结果表明:研究区TRMM 3B42数据与地面观测数据在日、月尺度上具有较高的相关性(R >0.5),3 h尺度相关性较差(R<0.5),且3 h和日尺度在降水量峰值拟合上存在较为明显的数值偏差和时间上的提前或延迟;不同时间尺度下两组数据的空间分布特征总体具有较好的一致性;两组数据2008—2010年降水量序列均值相对偏差在±10%的概率密度百分数为32.26%。总体上研究区TRMM 3B42数据呈现高估(四川盆地大部分区域),局部出现低估(四川盆东南及地周边地区);研究区3 h尺度TRMM 3B42数据探测精度明显低于日尺度,高程变化对TRMM 3B42数据的探测精度具有一定影响。因此,针对该区域TRMM 3B42数据3 h和日尺度数据序列精度相对较差的问题,应用该卫星数据进行3 h尺度流域水文模拟及预报研究时,就需要对该区域卫星数据和地面观测数据进行融合,充分发挥两种数据的优势。     

论气象服务的社会效益

气象服务的社会效益是由气象服务产品的公共消费性所决定的；气象服务产品生产与消费的投入同ＧＮＰ的增量这两者的比较即是服务社会效益的宏观经济概括；决策效益、公众效益与专项效益是气象服务社会效益的重要分类；从气象服务产品的有用性与气象信息的错情率及准确率三方面出发分析，可建立起气象服务社会效益的评价模型     

沿海湿地植被遥感分类研究

沿海湿地植被遥感分类是遥感在土地利用变化研究领域的一项重要内容,本文以江苏盐城沿海湿地核心区为研究区域,探讨了利用遥感技术进行湿地植被分类的方法和技术流程。在此基础上,以Landsat-5TM图像为遥感数据源,以盐城丹顶鹤湿地保护区样点数据为辅助数据,分别用非监督分类法、监督分类法与基于LBV变换的分类法,对研究区进行分类,并对各种分类方法的结果进行精度分析。结果表明,非监督分类的结果最差,特别是对芦苇,其错分误差达到51．65％。监督分类法的精度虽然高于非监督分类,但其制图精度只有66．56％。而基于LBV变换分类法能够有效解决关于米草和芦苇的错分现象,它对其他地物的分类精度也很高,基本上都在90％以上。总体来说,LBV变换法已经达到了核心区分类的精度要求。     

应用Bjerhammar方法确定GPS重力似大地水准面

GPS技术的发展提出了新的大地边值问题——GPS重力边值问题.本文将Bjerhammar方法应用于GPS重力问题的求解,并在给出理论公式的基础上,针对实际计算中虚拟场元的分布和求解、虚拟球半径的确定及奇异积分等问题提出了具体的解决方案.文中通过比例因子k在虚拟球半径和GPS重力数据密度间建立起联系,并推导出其近似值.在...     

利用IRS-P5影像制作1∶50000 3D产品的试验研究

讨论了利用IRS-P5卫星遥感影像立体模型进行1∶50000 DEM,DOM,DLG等地理信息产品生产的相关问题,并进行了精度检测;同时与传统的航空摄影测量方法在原始资料获取、生产效率、工作量、数据成本等方面进行了对比分析。     

山西离石中心地震台数字倾斜仪资料质量跟踪分析

文章对山西离石中心地震台迁建后,新安装的数字水管倾斜仪、石英水平摆倾斜仪、洞体应变伸缩仪2011年的观测资料进行质量跟踪,得出,仪器观测精度、数据稳定性和可靠性等各方面均达到国家形变I类台的要求,且水管倾斜仪观测精度高于石英水平摆。同时,对影响观测的干扰因素进行分析,并提出改进观测质量的方法。