Effect of flying altitude and pulse repetition frequency on laser scanner penetration rate for digital elevation model generation in a tropical forest

In tropical forests, the penetration ability of airborne laser scanning (ALS) may be limited because of highly dense vegetation cover. However, in the typical planning of ALS surveys, the ability of laser pulses to penetrate forests is not considered. Nine round-trip flight lines covering the area of a tropical forest on the northeast side of the Tsengwen Reservoir in Taiwan were designed in this study. Five flight lines flew at altitudes of 1.525, 1.830, 2.135, 2.440, and 2.745 km, and the other four had pulse repetition frequencies (PRFs) of 100, 150, 200, and 250 kHz. The laser penetration index (LPI) is a quantitative index measuring the penetration ability of the ALS and consists of the ratio of the number of laser pulses reaching the forest floor to the total number of laser pulses. The LPI was used to represent the laser penetration rate and investigate the influence of flying altitude and PRF on the LPI. The results showed that as the flying altitude decreased by 1 km, the average LPI increased by 10%, and as the PRF decreased by 50 kHz, the average LPI increased by 2%. The effect of the LPI on digital elevation models (DEMs) was confirmed by visual images obtained by DEMs at five altitudes. The DEM obtained at an altitude of 2.745 km was coarsely textured, whereas that obtained at an altitude of 1.525 km was finely textured. The in-situ height data obtained from the electronic Global Navigation Satellite System (eGNSS) were compared with the data of the ALS-generated DEMs. The results indicated that when the LPI ≥60%, the height difference between the in situ data and DEM data was not prominent. However, when the LPI <60%, the ALS-derived DEM could be higher or lower than the in-situ height; the largest difference between the two was 1.7 m. The LPI of a forest should be considered for ALS survey planning, especially when consistent DEM precision for large tropical forest areas is paramount.     

集成Landsat OLI和机载LiDAR条带数据的亚热带森林生物量制图

以亚热带天然次生林为研究对象,借助一个条带的少量LiDAR点云数据和覆盖整个研究区的免费Landsat OLI多光谱数据,并结合地面实测数据,探索森林生物量低成本高精度制图方法。首先,提取了OLI和LiDAR特征变量,并与地上和地下生物量进行相关分析以筛选变量;然后,借助LiDAR数据覆盖区的样地和条带LiDAR数据构建"LiDAR生物量模型";再从LiDAR反演生物量的结果中进行采样,结合OLI特征变量构建"LiDAR-OLI模型";最后,与单独使用OLI多光谱数据建立的"OLI估算模型"结果进行比较,分析精度并验证新方法的效果。结果表明,"LiDAR-OLI模型"对地上和地下生物量的模型拟合效果较好且均优于"OLI模型",且其交叉验证的精度也较高并优于"OLI模型",从而证明了新方法的可靠性及有效性。本研究为主、被动遥感技术在中小尺度上协同反演森林参数提供了实验基础,也为基于全覆盖免费OLI多光谱数据及条带LiDAR数据的低成本森林生物量制图探索了技术路线。     

ZTEM二维非线性共轭梯度反演研究

ZTEM(Z轴倾子电磁法)是一种天然场源的频率域航空电磁法,其特点是磁场垂直分量在空中机载平台测量,磁场水平分量在地面的固定基站测量,具有勘探深度大、速度快、成本低、覆盖面积大等技术优势。本文实现了ZTEM二维有限差分正演和二维非线性共轭梯度(NLCG)反演算法。研究对象是倾子资料,反演过程中通过解"拟正演"问题来避开雅克比矩阵的直接计算。通过理论模型合成数据反演试算,验证了ZTEM倾子资料二维NLCG反演算法的稳定性与可靠性。与大地电磁(MT) TE模式阻抗资料反演结果进行对比,发现在异常体横向边界的约束方面,ZTEM倾子反演比MT阻抗反演更具优越性。     

时间域航空电磁系统探测深度研究

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。     

Automatic estimation of olive tree dendrometric parameters based on airborne laser scanning data using alpha-shape and principal component analysis

The aim of this study is to present an automatic approach for olive tree dendrometric parameter estimation from airborne laser scanning (ALS) data. The proposed method is based on a unique combination of the alpha-shape algorithm applied to normalized point cloud and principal component analysis. A key issue of the alpha-shape algorithm is to define the α parameter, as it directly affects the crown delineation results. We propose to adjust this parameter based on a group of representative trees in an orchard for which the classical field measurements were performed. The best value of the α parameter is one whose correlation coefficient of dendrometric parameters between field measurements and estimated values is the highest. We determined crown diameters as principal components of ALS points representing a delineated crown. The method was applied to a test area of an olive orchard in Spain. The tree dendrometric parameters estimated from ALS data were compared with field measurements to assess the quality of the developed approach. We found the method to be equally good or even superior to previously investigated semi-automatic methods. The average error is 19% for tree height, 53% for crown base height, and 13% and 9% for the length of the longer diameter and perpendicular diameter, respectively.     

半自动机载LiDAR点云建筑物三维重建方法

针对全自动建筑物3D重建存在需要后续人工检验,且发现重建错误需要花费额外时间修改的问题,提出了一种半自动的面向对象的机载LiDAR点云建筑物3D重建方法。基于建筑物类别点云的联通分析和平面生长分割结果,提出了自动的建筑物栋数检测、单栋建筑物外轮廓提取、单栋建筑物内部结构线提取方法;同时,在计算机无法完成部分工作时,人工辅助计算机完成高程阶越线提取、识别建筑物屋顶附属物点云等工作。实验证明,该方法可以适用于高密度机载LiDAR点云数据中城区大部分建筑物的3D模型重建。     

GVR机载微波辐射计反演算法适用性分析

为研究GVR(G-band water Vapor Radiometer)机载微波辐射计自带反演算法在天津地区的适用性,将2016年北京探空资料分成春夏秋冬,对垂直累积液态水和垂直累积水汽的反演精度进行数值模拟检验。结果表明:垂直累积液态水反演精度随高度变化不明显,春夏秋冬4个季节反演结果相对偏差值范围分别为29%~78%、31%~71%、36%~67%、35%~79%,绝对偏差值范围分别为0.04~0.492 mm、0.075~0.294 mm、0.074~0.315mm、0.116~0.347mm;垂直累积水汽反演精度随高度降低(3000m以上降低更为明显),春、夏、秋、冬4个季节相对偏差3000m以下时分别为2.6%~20.8%、7.9%~19.1%、4.3%~16.5%、3.4%~14.2%,3000m以上时分别为6.4%~89.7%、12.5%~36.9%、13.2%~50%、11.8%~301%。与其他类型机载微波辐射计反演精度及GVR在北极地区地基观测反演精度相比,GVR自带反演算法在天津地区的垂直累积液态水和垂直累积水汽反演精度明显偏低。     

航空电磁法在黄河口地区寻找浅层淡水的地质效果

对利用航空电磁法寻找浅层淡水的方法技术进行了探索,根据找水需要编制了保留区域场的三频标差异常图,对本区的海侵界线及海侵程度进行了研究,并在咸水区内圈定浅层淡水远景区29处,对各淡水远景区进行了分析与评价.     

北部湾北海─临高海区的空气微生物

对北部湾的北海-临高海区作了空气微生物含量考察。结果表明,测区的空气平均细菌、真菌、总菌量及真菌/总菌的百分比分别为632．3,1324．0,1956．3CFU·m-3及67．7％。数据分析显示：测区空气微生物含量呈北高、南低、中间最少的势态;近岸海区的比相邻陆区的低,海上部分的平均比环海南岛上空的稍大,比粤西海区的稍少。其昼夜变化显示出空气细菌量峰值出现在晨间,谷值在中午。真菌量的峰值出现在黄昏,谷值在上午。其状态基本上不同于北海市区的,但近似于相邻海区的。空气做生物含量与气温间无显著相关关系。结果意味着空气污染近岸区重于海上区,人为活动的影响也较海上区的大。     

基于广义模型约束的时间域航空电磁反演研究

由于航空电磁具有海量数据,因此快速有效的成像和反演手段至关重要.本文针对层状介质模型推导与实现了广义模型约束条件下时间域航空电磁一维反演.从正则化反演的目标函数出发,通过改变模型约束项构造Lp范数反演和聚焦反演,进而通过改变模型求解域构造出基于小波变换的稀疏约束反演.针对不同反演方法目标函数的构建方式,本文进一步从数学原理上分析不同反演方法的预期效果,并通过理论模型和实测数据进行验证.结果表明L0.8范数反演、聚焦反演和基于小波变换的稀疏约束反演可以得到更符合地下层状介质陡变界面的反演结果.