Spatial and temporal variability of canopy and forest floor interception in a beech forest     

A. M. J. Gerrits  L. Pfister  H. H. G. Savenije 《水文研究》2010,24(21):3011-3025

Depending on season, rainfall characteristics and tree species, interception amounts to 15–50% of total precipitation in a forest under temperate climates. Many studies have investigated the importance of interception of different tree species in all kinds of different climates. Often authors merely determine interception storage capacity of that specific species and the considered event, and only sometimes a distinction is made between foliated and non‐foliated trees. However, interception is highly variable in time and space. First, since potential evaporation is higher in summer, but secondly because the storage capacity has a seasonal pattern. Besides weather characteristics, such as wind and rain intensity, snow causes large variations in the maximum storage capacity. In an experimental beech plot in Luxembourg, we found storage capacity of canopy interception to show a clear seasonal pattern varying from 0·1 mm in winter to 1·2 mm in summer. The capacity of the forest floor appears to be rather constant over time at 1·8 mm. Both have a standard deviation as high as ± 100%. However, the process is not sensitive to this variability resulting only in 11% variation of evaporation estimates. Hence, the number of raindays and the potential evaporation are stronger driving factors on interception. Furthermore, the spatial correlation of the throughfall and infiltration has been investigated with semi‐variograms and time stability plots. Within 6–7 m distance, throughfall and infiltration are correlated and the general persistence is rather weak. Copyright © 2010 John Wiley & Sons, Ltd.  相似文献   

南京市林地调查数据整合分析     

吴杨青  唐华  李梅香 《测绘通报》2020,(12):83-86

第三次国土调查与自然资源专项调查成果的分析集成，是自然资源管理工作的重要基础。本文以南京市林地调查数据的整合为切入点，进行第三次国土调查与森林资源规划设计调查数据交叉分析、林地分类标准梳理及映射、空间冲突规则制定、林地调查数据整合流程探索，为构建自然资源调查“一张底图”提供借鉴。  相似文献   

Estimating tree canopy cover using harmonic regression coefficients derived from multitemporal Landsat data     

《International Journal of Applied Earth Observation and Geoinformation》2020

The goal of this study was to evaluate whether harmonic regression coefficients derived using all available cloud-free observations in a given Landsat pixel for a three-year period can be used to estimate tree canopy cover (TCC), and whether models developed using harmonic regression coefficients as predictor variables are better than models developed using median composite predictor variables, the previous operational standard for the National Land Cover Database (NLCD). The two study areas in the conterminous USA were as follows: West (Oregon), bounded by Landsat Worldwide Reference System 2 (WRS-2) paths/rows 43/30, 44/30, and 45/30; and South (Georgia/South Carolina), bounded by WRS-2 paths/rows 16/37, 17/37, and 18/37. Plot-specific tree canopy cover (the response variable) was collected by experienced interpreters using a dot grid overlaid on 1 m spatial resolution National Agricultural Imagery Program (NAIP) images at two different times per region, circa 2010 and circa 2014. Random forest model comparisons (using 500 independent model runs for each comparison) revealed the following (1) harmonic regression coefficients (one harmonic) are better predictors for every time/region of TCC than median composite focal means and standard deviations (across times/regions, mean increase in pseudo R² of 6.7% and mean decrease in RMSE of 1.7% TCC) and (2) harmonic regression coefficients (one harmonic, from NDVI, SWIR1, and SWIR2), when added to the full suite of median composite and terrain variables used for the NLCD 2011 product, improve the quality of TCC models for every time/region (mean increase in pseudo R² of 3.6% and mean decrease in RMSE of 1.0% TCC). The harmonic regression NDVI constant was always one of the top four most important predictors across times/regions, and is more correlated with TCC than the NDVI median composite focal mean. Eigen analysis revealed that there is little to no additional information in the full suite of predictor variables (47 bands) when compared to the harmonic regression coefficients alone (using NDVI, SWIR1, and SWIR2; 9 bands), a finding echoed by both model fit statistics and the resulting maps. We conclude that harmonic regression coefficients derived from Landsat (or, by extension, other comparable earth resource satellite data) can be used to map TCC, either alone or in combination with other TCC-related variables.  相似文献   

Spatio-temporal variability of multi-layer soil water at a hillslope scale in the critical zone of the Chinese Loess Plateau     

Meina He  Yunqiang Wang  Li Wang  Ruijie Li 《水文研究》2020,34(23):4473-4486

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全卷积网络和条件随机场相结合的全极化SAR土地覆盖分类     

赵泉华  谢凯浪  王光辉  李玉 《测绘学报》2020,49(1):65-78

针对经典全卷积网络(fully convolution network,FCN)分类精度低、效果差,以及传统的极化合成孔径雷达(PolSAR)土地覆盖分类方法未充分考虑地物散射特性的问题,提出了一种结合改进FCN和条件随机场(conditional random field,CRF)的全极化SAR土地覆盖分类算法。首先,利用Freeman分解和Pauli分解建模全极化SAR影像,同时提取各分解对应的散射特征,参考Freeman分解散射功率获取其主散射分量对应的主散射地物;同时,借鉴在图像分类领域中具有卓越表现的FCN-Vgg19-8s网络,考虑其高层卷积参数量大和低层卷积模型参数优化程度不足,通过在高层和中层分别构建多尺度卷积组和代价函数设计了FCN-MD-8s网络,保证对整体模型参数进行降维和优化;以Freeman分解散射机理特征为基准,采用级连式迁移学习结构,实现FCN-MD-8s网络的模型训练和测试;然后,根据主散射分量所对应的主散射地物,在各分量预测图中提取出主特征地物,得到分量地物分类结果,并将其进行叠加得到全局粗分类;最后,利用全连接CRF结合Pauli相干分解重建假彩色图,对全局粗分类进行全局像素类别转移获得细分类结果。通过对分类结果定性和定量分析,可知提出算法具有有效性和可行性。  相似文献   

Strength of ensemble learning in multiclass classification of rockburst intensity     

Junfei Zhang  Yuhang Wang  Yuantian Sun  Guichen Li 《国际地质力学数值与分析法杂志》2020,44(13):1833-1853

Rockbust is a violent expulsion of rock due to the extreme release of strain energy stored in surrounding rock mass, leading to considerable damages to underground strucures and equipment, and threatening workers' safety. As the operational depth of engineering projects increases, a larger number of factors influence the mechanism of rockburst. Therefore, accurate classification of rockburst intensity cannot be achieved based on conventional criteria. It is urgent to develop new models with high accuracy and ease to implement in practice. This study proposed an ensemble machine learning method by aggregating seven individual classifiers including back propagation neural network, support vector machine, decision tree, k-nearest neighbours, logistic regression, multiple linear regression and Naïve Bayes. In addition, we proposed nine data imputation methods to replace the missing values in the compiled database including 188 rockburst instances. Five-fold cross validation and the beetle antennae search algorithm are used to tune hyperparameters and voting weights of the individual classifiers. The results show that the rockburst classification accuracy obtained by the classifier ensemble has increased by 15.4% compared with the best individual classifier on the test set. The predictor importance obtained by the classifier ensemble shows that the elastic energy index is the most sensitive input variable for rockburst intensity classification. This robust ensemble method can be extended to solve other classification problems in underground engineering projects.  相似文献   

系泊方柱在畸形波与波群伴生波浪作用下运动响应试验研究   总被引：1，自引：1，他引：0  

潘文博  梁晨  崔成  张昊宸  张宁川 《海洋工程》2020,38(1):42-53

畸形波与波群伴生波浪作用于系泊浮体,和常规随机波浪作用比较,运动响应时频域特征均将发生显著变化。基于物理模型试验,采用小波方法计算伴生波浪和常规随机波浪作用下系泊浮体运动响应的时频域特征变化及波群因子与浮体运动响应时频域特征的定量关系。结果表明:伴生波浪作用下浮体运动响应显著大于常规随机波浪的作用结果,且波群因子G A对浮体运动响应时频域特征有显著影响;伴生波浪作用下浮体纵荡运动的广义能量谱E(t)统计特征值E max(t)、E 1/10(t)、E 1/3(t)、E average(t)均明显大于相同波谱下常规随机波浪的结果,且随着波群因子G A增大显著增大;伴生波浪作用下各运动响应能量集中度δE显著大于常规随机波浪作用结果,且能量集中时域分布范围参数ΔT E以纵荡运动分量最为显著。  相似文献   

基于间断自适应MRF的相位解缠算法     

周立凡  张世奇  夏瑜  钟珊  龚声蓉 《测绘通报》2020,(12):6

合成孔径干涉雷达（InSAR）技术已被广泛应用于地面高程信息的获取。相位解缠作为其关键步骤直接关系到地表高程的提取精度。然而，相位解缠受相位连续性假设的限制无法识别间断相位，影响在陡峭地形区域的高程反演精度。针对上述问题，本文提出了一种基于间断自适应马尔可夫随机场模型（DA-MRF）的相位解缠算法处理间断相位。首先构建DA-MRF模型的能量函数能够自适应地在连续相位处保持像素连接，同时在间断相位处阻断像素连接；然后再利用图割算法优化能量函数，完成相位解缠。仿真和实测数据试验证明，本文方法与常用的相位解缠算法相比，具有更强的间断相位保持能力，更适用于地形变化剧烈场景中的地形重建。  相似文献   

Global and local sensitivity analyses for coupled thermo–hydro–mechanical problems          下载免费PDF全文

Long Nguyen‐Tuan  Tom Lahmer  Maria Datcheva  Tom Schanz 《国际地质力学数值与分析法杂志》2017,41(5):707-720

This paper focuses on the sensitivity analysis for coupled thermo–hydro–mechanical problems employing both local and global sensitivity methods. A derivative‐based method is used in the local sensitivity approach, whereas the random balance designs method is used for the global sensitivity analysis. The main goal is to investigate the effect of uncertainties in the constitutive parameters on the results from nonlinear coupled thermo–hydro–mechanical analyses of unsaturated soil behavior whose modeling generally involves large sets of constitutive relations. Knowing the parameter sensitivity allows to qualitatively assess the validity of the results obtained by computational simulations of high‐risk situations, for example, emerging nuclear waste repositories. Copyright © 2016 John Wiley & Sons, Ltd.  相似文献   

Variability of dissolved organic carbon in precipitation during storms at the Shale Hills Critical Zone Observatory          下载免费PDF全文

Lidiia Iavorivska  Elizabeth W. Boyer  Jeffrey W. Grimm  Matthew P. Miller  David R. DeWalle  Kenneth J. Davis  Margot W. Kaye 《水文研究》2017,31(16):2935-2950

Organic compounds are removed from the atmosphere and deposited to the Earth's surface via precipitation. In this study, we quantified variations of dissolved organic carbon (DOC) in precipitation during storm events at the Shale Hills Critical Zone Observatory, a forested watershed in central Pennsylvania (USA). Precipitation samples were collected consecutively throughout the storm during 13 events, which spanned a range of seasons and synoptic meteorological conditions, including a hurricane. Further, we explored factors that affect the temporal variability by considering relationships of DOC in precipitation with atmospheric and storm characteristics. Concentrations and chemical composition of DOC changed considerably during storms, with the magnitude of change within individual events being comparable or higher than the range of variation in average event composition among events. Although some previous studies observed that concentrations of other elements in precipitation typically decrease over the course of individual storm events, results of this study show that DOC concentrations in precipitation are highly variable. During most storm events, concentrations decreased over time, possibly as a result of washing out of the below‐cloud atmosphere. However, increasing concentrations that were observed in the later stages of some storm events highlight that DOC removal with precipitation is not merely a dilution response. Increases in DOC during events could result from advection of air masses, local emissions during breaks in precipitation, or chemical transformations in the atmosphere that enhance solubility of organic carbon compounds. This work advances understanding of processes occurring during storms that are relevant to studies of atmospheric chemistry, carbon cycling, and ecosystem responses.  相似文献