Estimation of the 3D correlation structure of an alluvial aquifer from surface-based multi-frequency ground-penetrating radar reflection data     

Zhiwei Xu  James Irving  Kyle Lindsay  John Bradford  Peimin Zhu  Klaus Holliger 《Geophysical Prospecting》2020,68(2):678-689

Knowledge about the stochastic nature of heterogeneity in subsurface hydraulic properties is critical for aquifer characterization and the corresponding prediction of groundwater flow and contaminant transport. Whereas the vertical correlation structure of the heterogeneity is often well constrained by borehole information, the lateral correlation structure is generally unknown because the spacing between boreholes is too large to allow for its meaningful inference. There is, however, evidence to suggest that information on the lateral correlation structure may be extracted from the correlation statistics of the subsurface reflectivity structure imaged by surface-based ground-penetrating radar measurements. To date, case studies involving this approach have been limited to 2D profiles acquired at a single antenna centre frequency in areas with limited complementary information. As a result, the practical reliability of this methodology has been difficult to assess. Here, we extend previous work to 3D and consider reflection ground-penetrating radar data acquired using two antenna centre frequencies at the extensively explored and well-constrained Boise Hydrogeophysical Research Site. We find that the results obtained using the two ground-penetrating radar frequencies are consistent with each other, as well as with information from a number of other studies at the Boise Hydrogeophysical Research Site. In addition, contrary to previous 2D work, our results indicate that the surface-based reflection ground-penetrating radar data are not only sensitive to the aspect ratio of the underlying heterogeneity, but also, albeit to a lesser extent, to the so-called Hurst number, which is a key parameter characterizing the local variability of the fine-scale structure.  相似文献   

Regional soil organic carbon prediction model based on a discrete wavelet analysis of hyperspectral satellite data     

《International Journal of Applied Earth Observation and Geoinformation》2020

Most studies have the achieved rapid and accurate determination of soil organic carbon (SOC) using laboratory spectroscopy; however, it remains difficult to map the spatial distribution of SOC. To predict and map SOC at a regional scale, we obtained fourteen hyperspectral images from the Gaofen-5 (GF-5) satellite and decomposed and reconstructed the original reflectance (OR) and the first derivative reflectance (FDR) using discrete wavelet transform (DWT) at different scales. At these different scales, as inputs, we selected the 3 optimal bands with the highest weight coefficient using principal component analysis and chose the normalized difference index (NDI), ratio index (RI) and difference index (DI) with the strongest correlation with the SOC content using a contour map method. These inputs were then used to build regional-scale SOC prediction models using random forest (RF), support vector machine (SVM) and back-propagation neural network (BPNN) algorithms. The results indicated that: 1) at a low decomposition scale, DWT can effectively eliminate the noise in satellite hyperspectral data, and the FDR combined with DWT can improve the SOC prediction accuracy significantly; 2) the method of selecting inputs using principal component analysis and a contour map can eliminate the redundancy of hyperspectral data while retaining the physical meaning of the inputs. For the model with the highest prediction accuracy, the inputs were all derived from the wavelength range of SOC variations; 3) the differences in prediction accuracy among the different prediction models are small; and 4) the SOC prediction accuracy using hyperspectral satellite data is greatly improved compared with that of previous SOC prediction studies using multispectral satellite data. This study provides a highly robust and accurate method for predicting and mapping regional SOC contents.  相似文献   

Integrating spectral and non-spectral data to improve urban settlement mapping in a large Latin-American city     

Feilin Lai 《地理信息系统科学与遥感》2020,57(6):830-844

ABSTRACT

Information on urban settlements is crucial for sustainability planning and management. While remote sensing has been used to derive such information, its applicability can be compromised due to the complexity in the urban environment. In this study, we developed a remote sensing method to map land cover types in a large Latin-American city, which is well known for its mushrooming unplanned and informal settlements. After carefully considering the landscape complexity there, we designed a data fusion method combining multispectral imagery and non-spectral data for urban and land mapping. Specifically, we acquired a cloud-free Landsat-8 image and two non-spectral datasets, i.e., digital elevation models and road networks. Then, we implemented a set of experiments with different inputs to evaluate their merits in thematic mapping through a supervised protocol. We found that the map generated with the multispectral data alone had an overall accuracy of 73.3% but combining multispectral imagery and non-spectral data yielded a land cover map with 90.7% overall accuracy. Interestingly, the thermal infrared information helped substantially improve both the overall and categorical accuracies, particularly for the two urban classes. The two types of non-spectral data were critical in resolving several spectrally confused categories, thus considerably increasing the mapping accuracy. However, the panchromatic band with higher spatial resolution and its derived textural measurement only generated a marginal accuracy improvement. The novelties of our work are with the successful separation between the two major types of urban settlements in a complex environment using a carefully designed data fusion approach and the insight into the relative merits of the thermal infrared information and non-spectral data in helping resolve the issue of class ambiguity. These findings should be valuable in deriving accurate urban settlement information which can further advance the research on socio-ecological dynamics and urban sustainability.  相似文献   

东北三省全面振兴的社会经济支撑能力评估     

马丽  田华征  康蕾  戚伟 《地理科学》2020,40(6):863-873

在解析支撑能力和东北问题特点的基础上，从“创新、协调、绿色、开放、共享”五大理念出发建立全面振兴社会经济支撑能力评价指标体系和综合评价方法，以地级市为单元对东北三省进行评估。研究发现：各地市社会经济支撑能力差异显著，哈大沿线核心城市的支撑能力较强，西翼城市以及朝阳、七台河、绥化、葫芦岛、铁岭、双鸭山和鹤岗等资源型城市支撑能力较弱。因此未来东北地区在振兴政策的区域分布上应有所侧重，对不同地区施以不同的振兴或扶持政策。在创新、绿色、开放方面需要集中力量重点突破，而在体制机制改革和共享服务建设方面需要全面覆盖，并重点加强黑龙江北部和辽宁、吉林西翼城市的共享能力建设。  相似文献   

基于SPEI的渭河流域干旱时空变化特征分析          下载免费PDF全文

邹磊  余江游  夏军  王飞宇 《干旱区地理》2020,43(2):329-338

以标准化降水蒸散指数（SPEI）作为评估指标，基于渭河流域28个气象站点1961—2017年实测降水量和气温数据，采用Mann-Kendall（M-K）趋势检验、经验正交函数以及小波变换等方法分析渭河流域干旱时空变化特征，并研究渭河流域干旱与6种大尺度气候因子之间的相关关系，进一步探讨主要气候因子对流域干旱时空分布特征的潜在影响。研究表明：渭河流域在1961—2017年间整体呈现出变旱的趋势。通过经验正交函数分解，渭河流域干旱分布场主要有3种典型模态类型，分别为全局型、西北—东南反向分布型以及东—西反向分布型；同时，大尺度气候因子南方涛动指数SOI与流域干旱分布场具有更好的相关关系，对该区域内干旱变化有较强的影响。  相似文献   

Post-earthquake economic resilience and recovery efficiency in the border areas of the Tibetan Plateau: A case study of areas affected by the Wenchuan Ms 8.0 Earthquake in Sichuan,China in 2008     

Zhou  Kan  Liu  Baoyin  Fan  Jie 《地理学报(英文版)》2020,30(8):1363-1381

Journal of Geographical Sciences - The border areas of the Tibetan Plateau and the neighboring mountainous areas have a high incidence of earthquakes with a magnitude greater than Ms 5.0, as well...  相似文献   

An overview of clustering methods for geo-referenced time series: from one-way clustering to co- and tri-clustering     

Xiaojing Wu  Raul Zurita-Milla  Changqing Song 《International journal of geographical information science》2020,34(9):1822-1848

  相似文献   

Satellite-based Estimates of Canopy Photosynthetic Parameters for an Alpine Meadow in Northern     

NIU Ben  HE Yongtao  ZHANG Xianzhou  SHI Peili  DU Mingyuan 《资源与生态学报(英文版)》2020,11(3):253-262

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不同GPS掩星电离层剖面产品相关性分析     

周荣  侯威震  曾晨曦  张绍成  柴炳阳 《测绘通报》2019,(11):31-38,73

将在一定时空限定范围内的不同低轨卫星COSMIC、GRACE、CHAMP、FY3C的电离层掩星电子密度剖面定义为一个掩星对来对比分析不同类型掩星电离层产品。结果表明：COSMIC掩星对之间的电子密度剖面整体轮廓符合得很好，电子密度剖面主要在250 km以下和500 km以上存在较大的偏差，250~500 km的电子密度整体偏差较小，统计得到的COSMIC掩星对的电子密度参量NmF2和hmF2的相关系数能分别达到0.99和0.97，具有高度相关性，不同COSMIC卫星之间没有明显的系统误差；COSMIC、GRACE、CHAMP和FY3C不同低轨卫星间的电子密度剖面略有差异，通过统计电子密度参量NmF2和hmF2之间的相关系数，COSMIC和CHAMP的相关系数分别为0.95和0.86，COSMIC和GRACE的相关系数分别为0.98和0.94，COSMIC和FY3C的相关系数分别为0.96和0.92，不同掩星类型之间的电子密度参量之间也具有高度相关性，验证了不同卫星任务GPS掩星电离层剖面的一致性。  相似文献   

云南曲靖刘家冲剖面关底组中的鱼类微体化石及其地层学意义     

王建华  赵文金  朱敏  李强  蔡家琛  张娜  彭礼健  罗彦超 《地学前缘》2020,27(6):329-340

云南曲靖地区的关底组产出世界闻名的潇湘脊椎动物群(Xiaoxiang Vertebate Fauna),但其地层的划分对比和时代归属一直存有争议,特别是其下部地层的划分及时代归属争议最大。通过在曲靖城南以关底组下段地层为主的刘家冲剖面上开展详细的野外及室内地层古生物学研究工作,文章厘清了该剖面上的志留纪地层,并依据采自数个层位样品中丰富的鱼类微体化石材料探讨了关底组下部的地质时代。研究结果表明:刘家冲剖面上出露的志留纪地层根据岩性变化特征可划分为关底组Ⅰ段(岳家山段)、Ⅱ段(崇家湾段)和Ⅲ段(彩莲段);Ⅰ段的下部以浅黄色、浅黄绿色含砾粉砂质泥岩、钙质粉砂岩为主,未见化石,而上部以深灰色、灰黑色页岩为主,含少量腕足类Lingula sp.及双壳类;Ⅱ段则以灰绿色、暗紫红色页岩互层、并夹薄层状灰岩为主,从下往上灰岩夹层逐渐增多,含丰富的腕足类、海百合茎等无脊椎动物化石及鱼类微体化石;在关底组Ⅲ段地层中首次发现的鱼类微体化石多样性高,门类比较齐全,包括无颌类、盾皮鱼类、棘鱼类和硬骨鱼类四大早期脊椎动物类群,从鱼群组成面貌上看隶属于潇湘脊椎动物群扬子鱼类组合(Yangtze Fish Assemblage)。笔者主要依据对其中棘鱼类的全球对比分析研究,并在结合牙形类等无脊椎动物化石研究进展及新认识的基础上,深入探讨了关底组下部Ⅰ段及Ⅱ段的地质时代。关底组Ⅱ段的时代应为志留纪罗德洛世高斯特晚期(late Gorstian, Ludlow),关底组Ⅰ段含砾岩层之上、含盾皮鱼类“王氏鱼”(Wangolepis)的地层,则应归入罗德洛世高斯特早期(early Gorstian, Ludlow),而在该剖面上尚未发现鱼类化石的关底组Ⅰ段下部,目前还不能确定全部归入高斯特阶(Gorstian),有可能会下延到温洛克统(Wenlock)之中。文章中相关工作的开展,不仅为中国志留纪生物地层的精深研究提供了古鱼类学方面的可靠证据,而且为探讨早期脊椎动物演化提供了新的地质年代意见。  相似文献