Validation of the forest radiative transfer model FRT

The components of the forest radiative transfer model FRT developed at Tartu Observatory, Estonia are compared to the results of measurements of forest canopy downward radiance under forest canopy. Measurements were performed with a hemispheric-view imaging CCD-radiometer which was specially designed for this task. A thorough study of metrological properties of the radiometer was carried out and the respective preprocessing algorithms were created. The angular distribution of view probabilities and NIR radiances for tree crowns, trunks and canopy gaps are measured and compared to the model simulations for two coniferous and a broadleaf forests. Generally, the model reproduced the angular courses of component probabilities and NIR radiances rather well, however, in some cases problems with both the absolute levels of radiance and the angular course arose.     

A simple parameterization of canopy reflectance using photon recollision probability

Information on the fractions of incident radiation reflected, transmitted and absorbed by a plant canopy is crucial in remote sensing of vegetation and modeling of canopy microclimate. Photon recollision probability p allows to calculate easily the spectral behavior of canopy scattering, i.e. the sum of canopy reflectance and transmittance. However, to divide the scattered radiation into reflected and transmitted fluxes, additional models are needed. In this paper, we present a simple formula to estimate the fraction of radiation scattered upwards by a canopy. The new method is semi-empirical, makes use of the concept of photon recollision probability, and is derived from an analysis of modeling results. Although a physical interpretation is given for the single additional parameter needed in the formula, the scattering asymmetry parameter q, the method is not strictly based on the radiative transfer equation. Our results indicate that the method is accurate for low to moderate leaf area index (LAI) values, and provides a reasonable approximation even at LAI = 8. In addition, we present a method to compute p using numerical radiative transfer models.     

磷营养胁迫对冬小麦冠层光谱的影响

因为磷素重要的营养作用,其胁迫的存在影响冬小麦的正常生长。借助地面遥感仪器获取冬小麦在磷营养胁迫下的多个生育期里的冠层光谱数据并对其影响特征进行了分析。利用因子分析方法提取主因子与含有丰富信息的光谱变量,并结合极显著水平(0.01)的均值比较与检验过程考察了冬小麦冠层光谱,确定了对磷营养胁迫敏感的光谱波段:760nm,810nm和870nm与950nm,并在此基础上结合冬小麦对磷素的吸收利用特征选定了运用冠层光谱敏感波段反射率探测和区分磷营养胁迫的关键生育期:拔节期。结果同时表明,对冬小麦磷营养胁迫而言,近红外区间(760nm~1100nm)光谱反射特征的区分能力要强于可见光区。本文同时指出了研究与发展利用遥感技术进行营养胁迫监测的方法和着重点。     

飞机抛盖装置综合测试台的设计

针对某型飞机抛盖装置传统的检测方法存在的缺点,开发研制了飞机抛盖装置综合测试台及其计算机控制系统。测试台功能齐全、可靠性高、操作方便,并用计算机进行数据采集、处理和打印,实践表明高效实用,经济效益显著。     

2010年上海世博会主题馆建筑设计

文章简要介绍了中国2010年上海世博会主题馆设计的全面情况,包括主题馆功能概况,设计过程中以城市和传统作为构思源泉的设计理念,内外统一的整体设计方法以及以生态节能为特色的设计亮点。     

Some characteristics of the wind flow in the lower Urban Boundary Layer

The characteristics of the wind flow at low levels in the urban environment (Roughness Sublayer (RS)) are quite different from, and to some extent independent of the characteristics of the flow in the upper part of the Urban Boundary Layer. In the RS, in fact, the flow is influenced more by the local geometry, than by a homogeneous energy transfer between horizontal layers. In this paper, the results of wind tunnel flow measurements in and above a regular urban geometry pattern, with street canyons parallel and orthogonal to the oncoming wind, are reported. The statistics and the spectral characteristics of the flow in the RS are discussed. The influence of the oncoming turbulence on the RS flow is analysed, and the differences between the flow in transversal and longitudinal street canyons are evidenced.     

基于ENVISAT ASAR数据的鄱阳湖湿地生物量反演研究

湿生植被是鄱阳湖湿地生态系统的重要组成部分,生物量的大小是衡量湿地生态系统初级生产力的主要指标之一.本文利用ENVISAT ASAR交替极化(HH,VV)数据对鄱阳湖湿地地区的湿生植被进行生物量反演研究,并在密歇根微波冠层散射(MIMICS)模型模拟分析的基础上利用人工神经网络(ANN)方法来反演生物量.据此计算出鄱阳湖4月份湿生植被的总生物量干重约为1.065×109kg,并给出了生物量分布图.反演结果表明,ENVISAT ASAR数据可以很好地用于湿地植被生物量反演;神经网络生物量反演方法可以有效地表达生物量与后向散射系数之间复杂的非线性关系,从而大大提高反演精度;反演结果的误差主要来自于实地采样、图像配准、反演计算过程中带来的误差.     

密云水库人工水源保护林降水再分配特征研究

对密云水库北京集水区3种类型人工水源保护林降水再分配特征研究,结果表明,在研究的2年间,大气降水总量545mm,刺槐林穿透降水量为437.78mm,林冠截留量97.73mm,树干茎流量12.49min,油松林穿透降水量397.98mm,林冠截留量131.54mm,树干茎流量15.48mm,板栗要穿透降水量422.07mm,林冠截留量110.73mm,树干茎流量12.20mm,次降雨条件下,林内穿透降雨量与产供销降雨量之间呈线性相关,且呈极显著水平,林冠截留量与次降雨量之间呈指数正相关关系,亦呈极显著水平。     

Multi-sensor model-data fusion for estimation of hydrologic and energy flux parameters

Model-data fusion offers considerable promise in remote sensing for improved state and parameter estimation particularly when applied to multi-sensor image products. This paper demonstrates the application of a ‘multiple constraints’ model-data fusion (MCMDF) scheme to integrating AMSR-E soil moisture content (SMC) and MODIS land surface temperature (LST) data products with a coupled biophysical model of surface moisture and energy budgets for savannas of northern Australia. The focus in this paper is on the methods, difficulties and error sources encountered in developing an MCMDF scheme and enhancements for future schemes. An important aspect of the MCMDF approach emphasized here is the identification of inconsistencies between model and data, and among data sets.The MCMDF scheme was able to identify that an inconsistency existed between AMSR-E SMC and LST data when combined with the coupled SEB-MRT model. For the example presented, an optimal fit to both remote sensing data sets together resulted in an 84% increase in predicted SMC and 0.06% increase for LST relative to the fit to each data set separately. That is the model predicted on average cooler LST's (∼ 1.7 K) and wetter SMC values (∼ 0.04 g cm^− 3) than the satellite image products. In this instance we found that the AMSR-E SMC data on their own were poor constraints on the model. Incorporating LST data via the MCMDF scheme ameliorated deficiencies in the SMC data and resulted in enhanced characterization of the land surface soil moisture and energy balance based on comparison with the MODIS evapotranspiration (ET) product of Mu et al. [Mu, Q., Heinsch, F.A, Zhao, M. and Running, S.W. (in press), Development of a global evapotranspiration algorithm based on MODIS and global meteorology data, Remote Sensing of Environment.]. Canopy conductance, g_C, and latent heat flux, λE, from the MODIS ET product were in good agreement with RMSEs for g_C = 0.5 mm s^− 1 and for λE = 18 W m^− 2, respectively. Differences were attributable to a greater canopy-to-air vapor pressure gradient in the MCMDF approach obtained from a more realistic partitioning of soil surface and canopy temperatures.     

Direct retrieval of the shape of leaf spectral albedo from multiangular hyperspectral Earth observation data

Physically-based retrieval of vegetation canopy properties from remote sensing data presumes a knowledge of the spectral albedo of the basic scattering unit, i.e. leaf. In this paper, we present a novel method to directly retrieve the spectral dependence of leaf single-scattering albedo of a closed broadleaf forest canopy from multiangular hyperspectral satellite imagery. The new algorithm is based on separating the reflected signal into a linear (first-order) and non-linear (diffuse) reflectance component. A limitation of the proposed algorithm is that the leaf single-scattering albedo ω(λ) is retrieved with an accuracy of a structural parameter (called a₀) which, in turn, depends on canopy bidirectional gap probability, ratio of leaf reflectance to transmittance, and distribution of leaf normals. The structural parameter (a₀) was found to depend on tree-level structural parameters, such as tree height and volume of a single crown, but not the amount of leaf area.