Estimating aboveground biomass of the mangrove forests on northeast Hainan Island in China using an upscaling method from field plots,UAV-LiDAR data and Sentinel-2 imagery     

《International Journal of Applied Earth Observation and Geoinformation》2020

The mangrove forests of northeast Hainan Island are the most species diverse forests in China and consist of the Dongzhai National Nature Reserve and the Qinglan Provincial Nature Reserve. The former reserve is the first Chinese national nature reserve for mangroves and the latter has the most abundant mangrove species in China. However, to date the aboveground ground biomass (AGB) of this mangrove region has not been quantified due to the high species diversity and the difficulty of extensive field sampling in mangrove habitat. Although three-dimensional point clouds can capture the forest vertical structure, their application to large areas is hindered by the logistics, costs and data volumes involved. To fill the gap and address this issue, this study proposed a novel upscaling method for mangrove AGB estimation using field plots, UAV-LiDAR strip data and Sentinel-2 imagery (named G∼LiDAR∼S2 model) based on a point-line-polygon framework. In this model, the partial-coverage UAV-LiDAR data were used as a linear bridge to link ground measurements to the wall-to-wall coverage Sentinel-2 data. The results showed that northeast Hainan Island has a total mangrove AGB of 312,806.29 Mg with a mean AGB of 119.26 Mg ha⁻¹. The results also indicated that at the regional scale, the proposed UAV-LiDAR linear bridge method (i.e., G∼LiDAR∼S2 model) performed better than the traditional approach, which directly relates field plots to Sentinel-2 data (named the G∼S2 model) (R² = 0.62 > 0.52, RMSE = 50.36 Mg ha⁻¹<56.63 Mg ha⁻¹). Through a trend extrapolation method, this study inferred that the G∼LiDAR∼S2 model could decrease the number of field samples required by approximately 37% in comparison with those required by the G∼S2 model in the study area. Regarding the UAV-LiDAR sampling intensity, compared with the original number of LiDAR plots, 20% of original linear bridges could produce an acceptable accuracy (R² = 0.62, RMSE = 51.03 Mg ha⁻¹). Consequently, this study presents the first investigation of AGB for the mangrove forests on northeast Hainan Island in China and verifies the feasibility of using this mangrove AGB upscaling method for diverse mangrove forests.  相似文献   

Mercury cycling during acid rain recovery at the forested Lesní potok catchment,Czech Republic     

Tomáš Navrátil  James B. Shanley  Jan Rohovec  Irena Dobešová  Šárka Matoušková  Michal Roll  Tereza Nováková  Filip Oulehle 《水文研究》2021,35(6):e14255

From 2011 to 2019, mercury (Hg) stores and fluxes were studied in the small forested catchment Lesní potok (LES) in the central Czech Republic using the watershed mass balance approach together with internal measurements. Mean input fluxes of Hg via open bulk deposition, beech throughfall and spruce throughfall during the periodwere 2.9, 3.9 and 7.6 μg m⁻² year⁻¹, respectively. These values were considerably lower than corresponding deposition Hg fluxes reported in the early years of the 21st century from catchments in Germany. Current bulk precipitation inputs at unimpacted Czech mountainous sites were lower than those in Germany. The largest Hg inputs to the catchment were via litterfall, averaging 22.6 and 17.8 μg m⁻² year⁻¹ for beech and spruce stands. The average Hg input, based on the sum of mean litterfall and throughfall deposition, was 23.0 μg m⁻² year⁻¹, compared to the estimated Hg output in runoff of 0.5 μg m⁻² year⁻¹, which is low compared to other reported values. Thus, only ~2% of Hg input is exported in stream runoff. Stream water Hg was only weakly related to dissolved organic carbon (DOC) but both concentrations were positively correlated with water temperature. The estimated total soil Hg pool averaged 47.5 mg m⁻², only 4% of which was in the O-horizon. Thus Hg in the O-horizon pool represents 72 years of deposition at the current input flux and 3800 years of export at the current runoff flux. Age-dating by ¹⁴C suggested that organic soil contains Hg from recent deposition, while mineral soil at 40–80 cm depth contained 4400-year old carbon, suggesting the soil had accumulated atmospheric Hg inputs through millennia to reach the highest soil Hg pool of the soil profile. These findings suggest that industrial era intensification of the Hg cycle is superimposed on a slower-paced Hg cycle during most of the Holocene.  相似文献   

基于SWAT模型的森林分布不连续流域水源涵养量多时间尺度分析   总被引：1，自引：0，他引：1  

林峰  陈兴伟  姚文艺  方艺辉  邓海军  吴杰峰  林炳青 《地理学报》2020,75(5):1065-1078

为解决森林分布不连续流域森林水源涵养功能及其多时间尺度特征的定量评价问题,根据分布式水文模型（SWAT）的特点,提出了反映森林斑块空间分布的水文响应单元划分方法,以及基于水量平衡法的森林不连续分布流域森林水源涵养量计算公式。以东南沿海的晋江流域为例,构建了2006年土地利用条件下的日时间步长SWAT模型,统计分析了2002—2010年降水条件下森林水源涵养量的时空变化规律。结果表明：① 构建的晋江流域SWAT模型精度较高,面积阈值为零生成的水文响应单元比较准确地反映流域森林斑块分布,提出的森林水源涵养量计算公式适用于森林空间分布不连续流域森林水源涵养量的多时间尺度分析,为流域森林水源涵养功能评价提供了一个新的方法。② 晋江流域森林水源年涵养量271.41~565.25 mm;月涵养量-29.15~154.59 mm;日尺度的极端降水期皆为正值,极端枯水期都为负值。表明年际之间不存在森林水源涵养的蓄丰补枯调节作用,但在年内的部分月份得到体现,而日尺度的森林蓄丰补枯功能充分发挥。从而揭示了不同时间尺度森林水源涵养量及其蓄丰补枯功能的差异。  相似文献   

天山雪岭云杉个体生物量分配及其变化规律的研究          下载免费PDF全文

罗庆辉  许仲林  徐泽源  李路  常亚鹏  徐昕亿  宋昕妮 《干旱区地理》2019,42(6):1378-1386

为了探讨天山雪岭云杉林生物量在个体组织中的分配情况及其变化规律，在研究区进行了大量的野外测量，利用已有的雪岭云杉林估算方程，分析了天山雪岭云杉林生物量在各器官（干、枝、叶、皮、根）中的分配及其变化规律。结果表明：（1） 研究区雪岭云杉林的平均生物量为388.74 t·hm^-2，树木各器官中，干、枝、根、叶和皮分别占生物量的43.65%、28.60%、13.49%、11.08%和3.18%。（2）各径级生物量所占百分比为：33.53%（40~50 cm）、20.13%（20~30 cm）、19.59%（30~40 cm）、18.19%（50~60 cm）和2.05%（10~20 cm）；树木生物量在不同树高中的分配表现为：48.78%（20~30 m）＞35.27%（10~20 m）＞14.70%（30~40 m）＞1.25%（0~10 m）；地上和地下生物量的分配比例为：87.54%和12.46%，分别为340.30 t·hm^-2和48.44 t·hm^-2。（3） 随海拔升高，天山雪岭云杉林生物量呈“单峰”变化，在海拔2 100~2 400 m处达到最大值611.58 t·hm^-2；干、皮生物量所占比例随海拔升高而减小，枝生物量逐渐增加，叶、根生物量呈先减小后增加的趋势；径级20~30 cm、30~40 cm和50~60 cm的生物量随海拔升高均呈“单峰型”变化趋势，都在海拔2 100~2 400 m处达到最大；雪岭云杉林不同树高生物量随海拔的升高呈现的趋势不同。天山雪岭云杉林生物量和年均降水量随经纬度的升高均呈降低变化，研究区林分生物量自西向东总体呈现逐渐降低的趋势；林分密度、海拔和降水共同决定了森林生物量的大小及其变化规律，海拔2 100~2 400 m是本研究区雪岭云杉林生长的最适宜场所。结果可为雪岭云杉林生态系统的恢复和重建提供基础资料，对研究区进行综合管理与生态健康分析具有重要意义。  相似文献   

Assessing model of highway slope stability based on optimized SVM     

《China Geology》2020,3(2):339-344

Considering the geological hazards attributed to the highway slope, using a common simple model cannot accurately assess the stability of the slope. First, principal component analysis (PCA) was conducted to extract the principal components of six factors (namely, bulk density, cohesion, internal friction angle, slope angle, slope height, and pore water pressure ratio) affecting the slope stability. Second, four principal components were adopted as input variables of the support vector machine (SVM) model optimized by genetic algorithm (GA). The output variable was slope stability. Lastly, the assessing model of highway slope stability based on PCA-GA-SVM is established. The maximal absolute error of the model is 0.0921 and the maximal relative error is 9.21% by comparing the assessment value and the practical value of the test sample. The above studies are conducive to enrich the assessing model of highway slope stability and provide some reference for highway slope engineering treatment.  相似文献   

石羊河下游人工梭梭林土壤呼吸变化特征及其与水热因子的关系          下载免费PDF全文

王新友  马全林  靳虎甲  樊宝丽  张进虎  林慧龙 《干旱区地理》2019,42(3):570-580

土壤呼吸不仅是反映土壤生物活性的重要指标，也是全球碳循环研究中备受关注的热点问题。在地处典型干旱区的石羊河下游，以流动沙丘和去除土壤结皮人工梭梭林为对照，采用LI-8100土壤碳通量监测系统研究了栽植约40 a、30 a、10 a和5 a的人工梭梭林生长季和非生长季的土壤呼吸日变化，并分析了土壤水分和温度对土壤呼吸的影响。结果表明：（1）不同林龄梭梭林生长季和非生长季土壤呼吸速率的日变化均为明显的单峰曲线，且呈现出一定的波动性，日最大排放速率出现在12:00～14:00时，最小值出现在8:00时左右。（2）梭梭林营造和去结皮处理显著提高了沙漠土壤呼吸速率，而且不同林龄土壤呼吸速率大体上随着种植年限的增加而递增，表现为MC >40 a>30 a>10 a>MS >5 a，非生长季表现为MC >40 a>10 a>5 a>30 a>MS。（3）不同林龄梭梭林土壤呼吸速率均具有明显的季节变化特征，生长季（8 月）的土壤呼吸作用明显强于非生长季（1月）。（4）相关性分析表明，生长季和非生长季土壤呼吸均与0～5 cm土壤水分显著相关，且均呈二次曲线关系，分别为Y =-0.205 8X ²+0.946 5X-0.316 6（R ² =0.506 ²，P= 0.041 7）和Y= 0.118 7 X ²+0.156 3X+0.118 8（R ²=0.675 7，P =0.001 1）；但与10 cm土壤温度的相关性不显著，土壤水分是影响人工梭梭林土壤呼吸的关键因素。该研究进一步证明了人工梭梭林的营造有效改善了沙漠土壤的生物活性，提高了土壤碳通量水平，以土壤结皮破坏为基本特征的人工梭梭林退化和沙漠化必然在短期内加剧碳排放。因此，需要在沙漠地区合理营造人工林，并在造林和林业管理过程中注意保护土壤结皮，以减少CO²排放。  相似文献   

机载多光谱LiDAR的随机森林地物分类   总被引：1，自引：0，他引：1  

曹爽  潘锁艳  管海燕 《测绘通报》2019,(11):79-84

机载多光谱LiDAR技术利用激光进行探测和测距，不仅可以快速获取地面物体的三维坐标，还可以获得多个波段的地物光谱信息，可广泛用于地形测绘、土地覆盖分类、环境建模、森林资源调查等。本文提出了多光谱LiDAR的随机森林地物分类方法。该方法通过对LiDAR强度数据和高程数据提取分类特征，完成多光谱LiDAR的随机森林地物分类；并分析随机森林的特征贡献度特性，采用后向特征选择方法实现分类特征选择。通过对加拿大Optech Titan多光谱LiDAR数据的试验表明：随机森林方法可以获得较好的地物分类精度，而且可以适当地去除部分冗余和相关的特征，从而有效提高分类精度。  相似文献   

PDR算法对地磁室内定位精度的提升研究     

黄鹤  张新宇  仇凯悦 《测绘通报》2019,(12):18-21

利用建筑物中金属结构引起的地磁场扰动可以对室内的行人目标进行定位，而且基于地磁场的定位无需布设任何额外设施，因此可以以低成本实现定位。但仅靠单一的地磁技术无法满足室内定位的精度要求。为了解决磁场数据中单点定位的模糊性问题，本文提出了一种利用粒子滤波算法将PDR与地磁相融合的室内定位方法，并开发了地磁室内导航系统，以智能手机为硬件平台构建磁力计传感器模型，建立匹配轨迹的均方误差准则并实现PDR累积误差实时校正的迭代计算。在68 m×1.8 m的试验区域内，产生的平均定位误差为1.13 m，最大定位误差为2.17 m。本文算法的定位精度比单独PDR算法提升了42%；与单一地磁指纹匹配算法相比，定位精度提高了57%。试验证明，本文提出的融合算法对提高室内定位精度具有显著的作用。  相似文献   

一种基于GA-BP-MC神经网络的高铁桥墩沉降预测模型     

冯绍权  花向红  陶武勇  宣伟  吴伟  续东 《测绘通报》2019,(7):50-53,82

提出一种基于马尔科夫链修正的遗传BP神经网络预测模型（GA-BP-MC），利用遗传算法的全局寻优能力初始化BP神经网络权值和阈值，初步建立GA-BP神经网络预测模型，结合马尔科夫链的无后效性修正模型预测值，形成高精度GA-BP-MC神经网络变形预测模型。结合高铁桥墩沉降数据，分别与BP神经网络、GA-BP神经网络预测模型进行对比，结果表明，该预测模型精度最高。  相似文献   

平原地区机载激光雷达数据的抽稀算法分析   总被引：1，自引：0，他引：1  

杨明军  苏春梅  康冰锋  张珣  曹殿才 《测绘通报》2019,(1):101-107

目前，机载激光雷达点云数据在测绘行业中的应用还存在较多的瓶颈。为了使机载激光雷达点云数据更好地服务等值线等数据的生产，发挥其高效和高精度的优势，本文归纳、总结了国内外现有的LiDAR点云数据抽稀算法，并通过对比分析现有LiDAR点云数据抽稀算法存在的优缺点，如系统抽稀、格网抽稀、TIN抽稀和坡度抽稀等算法，结合平原地区激光点云在实际生产中的应用，研究了更适合平原地区点云数据的抽稀方法，通过大量的数据测试和试生产。结果表明，该方法可以在应用项目精度约束下保证数据质量，减少了后期数据处理应用的难度，提升了后续成果数据的质量，提高了作业生产效率，对机载激光雷达点云数据在测绘行业中的应用推广具有重要的现实意义。  相似文献