新疆伊犁盆地巩留凹陷航空高光谱油气探测     

童勤龙  刘德长  杨燕杰  王茂芝  邱俊挺 《地质学报》2019,93(4):945-956

为了进一步了解伊犁盆地巩留凹陷油气勘探潜力,为该地区下一步油气勘查提供依据和新的技术支持,利用航空高光谱SASI数据,采用混合调制匹配滤波(MTMF)方法,在伊犁盆地阿吾拉勒西段山前提取了油气烃信息,主要分布在二叠系晓山萨依组,反映了油页岩层的分布和油气渗漏地段,地表油气渗漏主要受断裂控制,与油气渗漏有关的蚀变主要为粘土化,碳酸盐化次之。在巩留凹陷提取了粘土化和碳酸盐化信息,主要分布在拜石墩与阿克吐别克乡之间,通过干扰因素的排除,在拜石墩南部筛选了四片油气微渗漏区。最后,结合区域地质、物探资料综合分析,认为该地区油气成藏和排烃可能始于燕山早期,在喜山期遭到严重破坏,盆地的不对称压陷,加速了油气的垂直和侧向运移,在盆地内部形成微渗漏,在阿吾拉勒山前沿着断裂逸散至地表形成宏渗漏,巩留凹陷拜石墩南部微渗漏地区对应深部二叠系褶皱带是下一步油气勘查有利目标区。  相似文献   

时间域航空电磁系统探测深度研究     

韩雪  殷长春  任秀艳  刘云鹤  张博  蔡晶 《吉林大学学报(地球科学版)》2019,49(5):1448-1456

时间域航空电磁系统探测深度与采样时间、发射磁矩、大地电导率、仪器背景噪声和灵敏度等诸多因素相关。本文基于时间域航空电磁一维正演对时间域航空电磁系统探测深度进行研究。正演算法从麦克斯韦方程出发,结合准静态近似条件,得到一维层状介质上空中心回线频率域电磁场响应的垂直分量,并采用汉克尔积分进行计算,进而通过时-频变换获得时间域电磁场响应。探测深度研究参考仪器背景噪声水平,通过设定最小可识别信号阈值（本文设定为系统背景噪声三倍）获取最大可探测分离时间,进而利用该分离时间结合平均电导率求取最大探测深度。最后本文以VTEM系统为例,对不同层状介质模型以及不同发射磁矩、背景噪声、发射脉宽和飞行高度下的时间域航空电磁系统最大探测深度进行分析和讨论。  相似文献   

Quantifying terrain controls on runoff retention and routing in the Northern Prairies     

Igor Pavlovskii  Saskia L. Noorduijn  Jessica E. Liggett  Jeanette Klassen  Masaki Hayashi 《水文研究》2020,34(2):473-484

The role of hummocky terrain in governing runoff routing and focussing groundwater recharge in the Northern Prairies of North America is widely recognised. However, most hydrological studies in the region have not effectively utilised information on the surficial geology and associated landforms in large-scale hydrological characterization. The present study uses an automated digital elevation model (DEM) analysis of a 6500-km² area in the Northern Prairies to quantify hydrologically relevant terrain parameters for the common types of terrains in the prairies with different surficial deposits widespread in the prairies, namely, moraines and glaciolacustrine deposits. Runoff retention (and storage) capacity within depressions varies greatly between different surficial deposits and is comparable in magnitude with a typical amount of seasonal snowmelt runoff generation. The terrain constraint on potential runoff retention varies from a few millimetres in areas classified as moraine to tens of millimetres in areas classified as stagnant ice moraine deposits. Fluted moraine and glaciolacustrine deposits have intermediate storage capacity values. The study also identified the probability density function describing a number of immediate upstream neighbours for each depression in a fill-and-spill network. A relationship between depression parameters and surficial deposits, as well as identified depression network structure, allows parametrisation of hydrologic models outside of the high-resolution DEM coverage, which can still account for terrain variation in the Prairies.  相似文献   

Extracting drainage networks and their connectivity using LiDAR data          下载免费PDF全文

Jennifer Roelens  Ine Rosier  Stefaan Dondeyne  Jos Van Orshoven  Jan Diels 《水文研究》2018,32(8):1026-1037

Policies, measures, and models geared towards flood prevention and managing surface waters benefit from high quality data on the presence and characteristics of drainage ditches. As a cost and labour effective alternative for acquiring such data through field surveys, we propose a method (a) to extract vector data representing ditch drainage networks based on local morphologic features derived from high resolution digital elevation models (DEM) and (b) to identify possible connections in the ditch network by calculating a probability of the connectivity using a logistic regression where the predictor variables are characteristics of the ditch centre lines or derived from the DEM. Using Light Detection and Ranging (LiDAR) derived DEMs with a 1 m resolution, the method was developed and tested for a mixed agricultural residential area in north‐eastern Belgium. The derived ditch segments had an error of omission of 8% and an error of commission of 5%. The original positional accuracy of the centre lines of the extracted ditches was 0.6 m and could be improved to 0.4 m by shifting each vertex to the position of the lowest LiDAR point located within a radius equal to the spatial resolution of the used DEM. About 69% of the false disconnections in the network were identified and corrected leading to a reduction of the unconnected parts of the ditch network by 71%. The extracted and connected network approximated the reference ditch network fairly well.  相似文献   

基于车载LiDAR点云的地物分类方法的研究     

邵帅  刘春晓  周光耀  井文胜 《测绘与空间地理信息》2017,(2):198-201

基于点云分类常用的近邻聚类法和物体表面分割等方法,本文提出了一种基于最大网格密度的近邻聚类的方法。该方法首先对原始点云进行低点提取,设置格网的大小,在此基础上对点云数据进行去噪并进行主成分分析,再对点云空间进行均匀格网化,使具有最大密度的格网为聚类中心,加入高程、强度以及法向量等特征对分割后的点云实现了不同地物的分类,提高了运算效率,降低了错分率。  相似文献   

基于LiDAR的海岛岸线自动提取研究     

郑真真  徐爱功  徐辛超 《测绘与空间地理信息》2017,40(9)

为了探讨栅格化方法与图像分割法对海岛岸线提取的效果,本文主要研究了基于Li DAR数据利用这两种方法对某岛进行瞬时海岸线的提取。利用栅格化方法通过对Li DAR点云数据进行粗差剔除、滤波去噪、构建Terrain数据集、创建栅格表面、生成TIN模型及自动生成等高线,从而实现了瞬时海岸线的提取;利用图像分割法是通过对Li DAR点云数据进行粗差剔除、滤波处理、构建TIN模型、生成二值栅格图像、图像处理与图像边缘提取的过程实现瞬时海岸线的提取。对两种方法提取的海岸线进行叠加显示分析,试验结果表明:两种方法提取的海岸线形态结构基本吻合,海岸线提取效率较传统方法均有提高,但栅格化方法提取的海岸线比图像分割方法提取的海岸线更平滑、更细化,边缘信息较为丰富,与实际海岸线更贴切,效果更加理想。  相似文献   

基于法向量密度聚类的LiDAR点云屋顶面提取     

赵传  张保明  郭海涛  陈小卫 《测绘科学技术学报》2017,34(4)

针对现有算法从LiDAR点云中提取复杂建筑物屋顶面不完整、阈值难以设置的问题,提出一种结合点云空间分布的法向量密度聚类提取屋顶面点云方法。通过构建Delaunay三角网,计算建筑物LiDAR点云的法向量;在分析建筑物点云空间和法向量分布特点的基础上,定义一种邻域关系度量屋顶面点云之间的相似性,并利用提出的算法聚类建筑物点云,得到屋顶面片点云粗提取结果;通过构建屋顶面片缓冲区,经面片处理得到建筑物各屋顶面的完整点云。选取不同复杂程度的建筑物进行实验,结果表明,算法能有效提取复杂建筑物屋顶面点云,具有较好的适应性,并能为建筑物三维重建提供可靠的屋顶面信息。  相似文献   

一种利用点云邻域信息的建筑物屋顶面高精度自动提取方法   总被引：1，自引：0，他引：1  

赵传  张保明  陈小卫  郭海涛  卢俊 《测绘学报》2017,46(9):1123-1134

从LiDAR数据中高精度地提取建筑物屋顶面是构建屋顶面拓扑关系、实现建筑物三维模型重建的关键。本文针对现有算法提取复杂建筑物屋顶面适应性较差、精度较低等问题,提出了一种利用点云邻域信息的建筑物屋顶面高精度自动提取方法。通过主成分分析计算点云特征,构建特征直方图,选取可靠种子点;利用提出的局部点云法向量分布密度聚类算法聚类种子点,快速准确地提取初始屋顶面片;构建基于邻域信息的投票模型,有效地解决屋顶面竞争现象。试验结果表明,本文方法可自动、高精度地提取屋顶面,对不同复杂程度的建筑物具有较好的适应性,能为建筑物三维模型重建提供可靠的屋顶面信息。  相似文献   

Retrieving aboveground biomass of wetland Phragmites australis (common reed) using a combination of airborne discrete-return LiDAR and hyperspectral data     

《International Journal of Applied Earth Observation and Geoinformation》2017

Wetland biomass is essential for monitoring the stability and productivity of wetland ecosystems. Conventional field methods to measure or estimate wetland biomass are accurate and reliable, but expensive, time consuming and labor intensive. This research explored the potential for estimating wetland reed biomass using a combination of airborne discrete-return Light Detection and Ranging (LiDAR) and hyperspectral data. To derive the optimal predictor variables of reed biomass, a range of LiDAR and hyperspectral metrics at different spatial scales were regressed against the field-observed biomasses. The results showed that the LiDAR-derived H_p99 (99th percentile of the LiDAR height) and hyperspectral-calculated modified soil-adjusted vegetation index (MSAVI) were the best metrics for estimating reed biomass using the single regression model. Although the LiDAR data yielded a higher estimation accuracy compared to the hyperspectral data, the combination of LiDAR and hyperspectral data produced a more accurate prediction model for reed biomass (R² = 0.648, RMSE = 167.546 g/m², RMSE_r = 20.71%) than LiDAR data alone. Thus, combining LiDAR data with hyperspectral data has a great potential for improving the accuracy of aboveground biomass estimation.  相似文献   

Estimating the spatial distribution,extent and potential lignocellulosic biomass supply of Trees Outside Forests in Baden-Wuerttemberg using airborne LiDAR and OpenStreetMap data     

《International Journal of Applied Earth Observation and Geoinformation》2017

Trees Outside Forests (TOF) represent a source of lignocellulosic biomass that has received increasing attention in the recent years. While some studies have already investigated the potential of TOF in Germany, a spatial explicit analysis, specifically for Baden-Wuerttemberg, is still lacking. We used a unique wall-to-wall airborne Light Detection and Ranging (LiDAR) dataset combined with OpenStreetMap (OSM) data to map and classify TOF of the federal state of Baden-Wuerttemberg (∼35.000 km²) in south-western Germany. Furthermore, from annual biomass potentials of TOF areas collected from available literature, we calculated the mean annual biomass supply for all TOF areas in Baden-Wuerttemberg. This combination of remote sensing-based classification and available literature resulted in a mean annual biomass supply between ∼490,000–730,000 t from TOF in Baden-Wuerttemberg. The classification congruence on three reference sites was very high (∼99%) using a simple filter technique applied to the LiDAR data and masking man-made objects using OSM data. In contrast, the available literature revealed a high variability of biomass potentials, supporting the demand for an inventory system. Still, the results demonstrate the applicability of LiDAR based vegetation mapping and the value of OSM data in Baden-Wuerttemberg to detect man-made objects.  相似文献