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1.
Estimates of solar radiation distribution in urban areas are often limited by the complexity of urban environments. These limitations arise from spatial structures such as buildings and trees that affect spatial and temporal distributions of solar fluxes over urban surfaces. The traditional solar radiation models implemented in GIS can address this problem only partially. They can be adequately used only for 2‐D surfaces such as terrain and rooftops. However, vertical surfaces, such as facades, require a 3‐D approach. This study presents a new 3‐D solar radiation model for urban areas represented by 3‐D city models. The v.sun module implemented in GRASS GIS is based on the existing solar radiation methodology used in the topographic r.sun model with a new capability to process 3‐D vector data representing complex urban environments. The calculation procedure is based on the combined vector‐voxel approach segmenting the 3‐D vector objects to smaller polygon elements according to a voxel data structure of the volume region. The shadowing effects of surrounding objects are considered using a unique shadowing algorithm. The proposed model has been applied to the sample urban area with results showing strong spatial and temporal variations of solar radiation flows over complex urban surfaces. 相似文献
2.
Mingxi Zhang Bin Wang De Li Liu Jiandong Liu Hong Zhang Puyu Feng Dongdong Kong James Cleverly Xihua Yang Qiang Yu 《Transactions in GIS》2020,24(2):423-441
Solar radiation has been a major input to agricultural, hydrological, and ecological modeling. However, solar radiation is usually influenced by three groups of dynamic factors: sun–earth position, terrain, and atmospheric effects. Therefore, an integrated approach to accurately consider the impacts of those dynamic factors on solar radiation is essential to estimate solar radiation over rugged terrain. In this study, a spatial and temporal gap‐filling algorithm was proposed to obtain a seamless daily MODIS albedo dataset. A 1 km‐resolution digital elevation model was used to model the impact of local topography and shading by surrounding terrain on solar radiation. A sunshine‐based model was adopted to simulate radiation under the influence of clouds. A GIS‐based solar radiation model that incorporates albedo, shading by surrounding terrain, and variations in cloudiness was used to address the spatial variability of these factors in mountainous terrain. Compared with other independent solar radiation products, our model generated a more reliable solar radiation product over rugged terrain, with an R2 of 0.88 and an RMSE of 2.55 MJ m?2 day?1. The improved solar radiation products and open source app can be used further in practice or scientific research. 相似文献
3.
Estimating Geographical PV Potential Using LiDAR Data for Buildings in Downtown San Francisco 
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下载免费PDF全文 Sustainable solar energy is of the interest for the city of San Francisco to meet their renewable energy initiative. Buildings in the downtown area are expected to have great photovoltaic (PV) potential for future solar panel installation. This study presents a comprehensive method for estimating geographical PV potential using remote sensed LiDAR data for buildings in downtown San Francisco. LiDAR derived DSMs and DTMs were able to generate high quality building footprints using the object‐oriented classification method. The GRASS built‐in solar irradiation model (r.sun) was used to simulate and compute PV yields. Monthly and yearly maps, as well as an exquisite 3D city building model, were created to visualize the variability of solar irradiation across the study area. Results showed that monthly sum of solar irradiation followed a one‐year cycle with the peak in July and troughs in January and December. The mean yearly sum of solar irradiation for the buildings in the study area was estimated to be 1675 kWh/m2. A multiple regression model was used to test the significance of building height, roof area and roof complexity against PV potential. Roof complexity was found to be the dominant determinant. Uncertainties of the research are mainly from the inherent r.sun limitations, boundary problems, and the LiDAR data accuracy in terms of both building footprint extraction and 3D modeling. Future work can focus on a more automated process and segment rooftops of buildings to achieve more accurate estimation of PV potential. The outcome of this research can assist decision makers in San Francisco to visualize building PV potential, and further select ideal places to install PV systems. The methodology presented and tested in this research can also be generalized to other cities in order to meet contemporary society's need for renewable energy. 相似文献
4.
In mountainous regions, solar radiation exhibits a strong spatial heterogeneity due to terrain shading effects. Terrain shading algorithms based on digital elevation models can be categorized into two types: area‐based and point‐specific. In this article, we evaluated two shading algorithms using designed mathematic surfaces. Theoretical shading effects over four Gauss synthetic surfaces were calculated and used to evaluate the terrain shading algorithms. We evaluated the area‐based terrain shading algorithm, Hillshade tool of ArcGIS, and the point‐specific shading algorithm from Solar Analyst (SA) in ArcGIS. Both algorithms showed shading overestimation, and Hillshade showed more accuracy with a mean absolute error (MAE) of 1.20%, as compared to the MAE of 1.66% of SA. The MAE of Hillshade increases exponentially as the spatial extent of the study area increases because the solar position for all locations on the surface is the same in Hillshade. Consequently, we suggest that the surface should be divided into more tiles in Hillshade when the discrepancy in the latitude of the whole surface is greater than 4°. Skyshed, which represents the horizon angle distribution in SA, is error‐prone over more complex terrain because horizon angle interpolation is problematic for such areas. We also propose a new terrain shading algorithm, with solar positions calculated using local latitude for each cell and the horizon angle calculated for every specific time interval, but without projections. The new model performs better than Hillshade and SA with an MAE of 0.55%. 相似文献
5.
Guofeng Wu Jan de Leeuw Andrew K. Skidmore Yaolin Liu Herbert H. T. Prins 《地球空间信息科学学报》2010,13(4):235-242
Measurements of photosynthetically active radiation (PAR), which are indispensable for simulating plant growth and productivity,
are generally very scarce. This study aimed to compare two extrapolation and one interpolation methods for estimating daily
PAR reaching the earth surface within the Poyang Lake national nature reserve, China. The daily global solar radiation records
at Nanchang meteorological station and daily sunshine duration measurements at nine meteorological stations around Poyang
Lake were obtained to achieve the objective. Two extrapolation methods of PARs using recorded and estimated global solar radiation
at Nanchang station and three stations (Yongxiu, Xingzi and Duchang) near the nature reserve were carried out, respectively,
and a spatial interpolation method combining triangulated irregular network (TIN) and inverse distance weighting (IDW) was
implemented to estimate daily PAR. The performance evaluation of the three methods using the PARs measured at Dahuchi Conservation
Station (day number of measurement = 105 days) revealed that: (1) the spatial interpolation method achieved the best PAR estimation
(R
2 = 0.89, s.e. = 0.99, F = 830.02, P < 0.001); (2) the extrapolation method from Nanchang station obtained an unbiased result (R
2 = 0.88, s.e. = 0.99, F = 745.29, P < 0.001); however, (3) the extrapolation methods from Yongxiu, Xingzi and Duchang stations were not suitable for this specific
site for their biased estimations. Considering the assumptions and principles supporting the extrapolation and interpolation
methods, the authors conclude that the spatial interpolation method produces more reliable results than the extrapolation
methods and holds the greatest potential in all tested methods, and more PAR measurements should be recorded to evaluate the
seasonal, yearly and spatial stabilities of these models for their application to the whole nature reserve of Poyang Lake. 相似文献
6.
Lei Lu Valentijn Venus Andrew Skidmore Tiejun Wang Geping Luo 《International Journal of Applied Earth Observation and Geoinformation》2011
The retrieval of land-surface temperature (LST) from thermal infrared satellite sensor observations is known to suffer from cloud contamination. Hence few studies focus on LST retrieval under cloudy conditions. In this paper a temporal neighboring-pixel approach is presented that reconstructs the diurnal cycle of LST by exploiting the temporal domain offered by geo-stationary satellite observations (i.e. MSG/SEVIRI), and yields LST estimates even for overcast moments when satellite sensor can only record cloud-top temperatures. Contrasting to the neighboring pixel approach as presented by Jin and Dickinson (2002), our approach naturally satisfies all sorts of spatial homogeneity assumptions and is hence more suited for earth surfaces characterized by scattered land-use practices. Validation is performed against in situ measurements of infrared land-surface temperature obtained at two validation sites in Africa. Results vary and show a bias of −3.68 K and a RMSE of 5.55 K for the validation site in Kenya, while results obtained over the site in Burkina Faso are more encouraging with a bias of 0.37 K and RMSE of 5.11 K. Error analysis reveals that uncertainty of the estimation of cloudy sky LST is attributed to errors in estimation of the underlying clear sky LST, all-sky global radiation, and inaccuracies inherent to the ‘neighboring pixel’ scheme itself. An error propagation model applied for the proposed temporal neighboring-pixel approach reveals that the absolute error of the obtained cloudy sky LST is less than 1.5 K in the best case scenario, and the uncertainty increases linearly with the absolute error of clear sky LST. Despite this uncertainty, the proposed method is practical for retrieving the LST under a cloudy sky condition, and it is promising to reconstruct diurnal LST cycles from geo-stationary satellite observations. 相似文献
7.
Deepak Kumar 《国际地球制图》2013,28(13):1477-1495
AbstractThere is an urgent need for alternate energy resources throughout the world due to the decline in the accessibility of fossil fuels and other conventional resources. In this pursuit, solar energy offers a favourable solution and can easily be converted into energy. There are some solar radiation models which provide point and area-based computations based on the geometry of surface orientation and visible sky. The work comprises the mapping of the solar energy generation potential of southern India to balance the competing and upcoming energy demands. The current work explores and employs the geospatial technology to prepare solar energy potential map to deliver the valuable inputs to the energy sector. The research was supported with satellite-derived global solar radiation and temperature data over a span of one year. The values obtained from the spatial radiation models were processed to get the improved datasets. Suitable cartographic visualization of solar insolation parameters was presented for enhanced understanding of the spatial distribution of solar potential, PV output, air-temperature or other spatial characteristics. Twelve monthly maps, an annual map, and another map with the location of the measurement stations were created to unravel a number of unturned mystery about the understanding of solar resource diversity in a spatial context, which will support our decisions & arguments for any kind business. 相似文献
8.
9.
基于葵花-8卫星大气产品的地表下行短波辐射计算 总被引：2，自引：2，他引：0
地表下行短波辐射DSSR(Downward Surface Shortwave Radiation)的准确估算在气候变化研究和地表太阳能估算等领域具有重要作用。新一代静止气象卫星葵花-8(Himawari-8)具有高达10 min的对地观测能力,为DSSR近实时估算提供了新机遇。然而,日本宇宙航空研究开发机构(JAXA)对外公开的葵花-8辐射产品中,没有将其反演的云、气溶胶产品作为DSSR的输入参数,从而没有形成一整套的DSSR估算算法流程,缺乏产品输出的一致性。大气中的云、气溶胶是DSSR的重要影响因子,本文重点考虑云、气溶胶对太阳辐射的影响,基于大气辐射传输模式RSTAR构建了DSSR查找表,开发了DSSR的快速计算方法,进而将JAXA葵花-8二级云、气溶胶产品(光学厚度,粒子有效半径等)作为快速化计算方法的输入参量,计算得到了DSSR。通过与JAXA葵花-8二级DSSR产品(JAXA DSSR)对比,发现两者具有很好的空间一致性。为了进一步评价本文的DSSR计算精度,分别选取了陆地(Yonsei)和海洋(0n_165e)的观测数据验证了2016年4、7、10和12月本文计算的DSSR和同时期的JAXA DSSR产品,验证结果显示两者的DSSR在两个观测站点均具有非常高的相关性(全天空、晴空和云天条件下的相关系数R均大于0.88)。在两个站点云天条件下的验证结果中,考虑了云相态并在冰云模型中使用了非球形冰晶粒子(六棱柱)来计算DSSR,获得了比JAXA DSSR更小的偏差。本文提出的快速化计算方法能快速准确地计算DSSR,可为计算地表辐射收支等研究提供重要数据支撑。 相似文献
10.
Spatio‐temporal prediction and forecasting of land surface temperature (LST) are relevant. However, several factors limit their usage, such as missing pixels, line drops, and cloud cover in satellite images. Being measured close to the Earth's surface, LST is mainly influenced by the land use/land cover (LULC) distribution of the terrain. This article presents a spatio‐temporal interpolation method which semantically models LULC information for the analysis of LST. The proposed spatio‐temporal semantic kriging (ST‐SemK) approach is presented in two variants: non‐separable ST‐SemK (ST‐SemKNSep) and separable ST‐SemK (ST‐SemKSep). Empirical studies have been carried out with derived Landsat 7 ETM+ satellite images of LST for two spatial regions: Kolkata, India and Dallas, Texas, U.S. It has been observed that semantically enhanced spatio‐temporal modeling by ST‐SemK yields more accurate prediction results than spatio‐temporal ordinary kriging and other existing methods. 相似文献
11.
将DEM、坡度和坡向作为地形因子,基于ENVI/IDL编写MT-CLIM模型批量处理程序,使用改进MTCLIM模型对小兴安岭地区的地面气象台站进行太阳辐射模拟,并将模拟结果分别与辐射台站实测数据和二次趋势面统计模型进行验证。研究结果表明:从整年上,其与辐射台站的拟合精度R2为0.813 3,其中,夏季模拟太阳辐射日值拟合精度偏低,而其与二次趋势面统计模型拟合精度R2值范围为0.571 3~0.793 3;采用改进的MT-CLIM模型模拟较大区域的太阳辐射,比统计模型具有更好的普适性和高效性,能获得较好的中高纬低山丘陵区模拟效果,且为森林生态过程模型的输入参数研究提供依据。 相似文献
12.
Dibyendu Dutta Prachi Goel Manisha Singh Vinay Kumar Dadhwal Rodda Suraj Reddy 《国际地球制图》2017,32(3):286-297
A simple and exclusively satellite-based instantaneous net radiation (INR) and its components have been estimated and it is based on the method proposed. The method has been used to check its suitability over West Bengal, India on clear sky days which is eliminating the need for ground-based observations. The method explicitly recognizes the need for spatially varied input parameters to estimate net radiation using remote sensing information and provides a distributed daily average net radiation map with finer spatial resolution. The satellite-derived radiative flux components were compared with the Eddy Flux Tower measurements located at Bonnie camp within mangrove forest. The bias, root-mean square error and R2 between modelled and measured INR are 52.07, 49.5 W m?2 and 0.74, respectively which are within the acceptable limit. The errors in the downward short wave and long wave as well as upward short-wave and long-wave radiative flux are 13.78, 3.54, 12.41 and 3.54%, respectively. Further, variations of all the radiative flux components were analysed over different eco-systems. 相似文献
13.
Gravity field terrain effect computations by FFT 总被引：2，自引：2，他引：2
René Forsberg 《Journal of Geodesy》1985,59(4):342-360
The widespread availability of detailed gridded topographic and bathymetric data for many areas of the earth has resulted
in a need for efficient terrain effect computation techniques, especially for applications in gravity field modelling. Compared
to conventional integration techniques, Fourier transform methods provide extremely efficient computations due to the speed
of the Fast Fourier Transform (FFT. The Fourier techniques rely on linearization and series expansions of the basically unlinear terrain effect integrals, typically
involving transformation of the heights/depths and their squares. TheFFT methods will especially be suited for terrain reduction of land gravity data and satellite altimetry geoid data.
In the paper the basic formulas will be outlined, and special emphasis will be put on the practial implementation, where a
special coarse/detailed grid pair formulation must be used in order to minimize the unavoidable edge effects ofFFT, and the special properties ofFFT are utilized to limit the actual number of data transformations needed. Actual results are presented for gravity and geoid
terrain effects in test areas of the USA, Greenland and the North Atlantic. The results are evaluated against a conventional
integration program: thus, e.g., in an area of East Greenland (with terrain corrections up to10 mgal), the accuracy ofFFT-computed terrain corrections in actual gravity stations showed anr.m.s. error of0.25 mgal, using height data from a detailed photogrammetric digital terrain model. Similarly, isostatic ocean geoid effects in the
Faeroe Islands region were found to be computed withr.m.s. errors around0.03 m 相似文献
14.
Abstract<title/>When the source data for the digital elevation model (DEM) are not known and any additional information or features such as skeleton lines of terrain is not available, a triangular regular network (TRN) is constructed with simple subdivision using one or two diagonals uniformly. Such a model gives inaccurate directions for interpolation because of the inaccurate diagonals used in triangulation and thereby, results in inaccurate contours representing artificial terrain features. In this study, a new method is developed based on slope information computed at DEM points determining accurate diagonals in the subdivision process, which is beneficial not only through the skeleton lines of a terrain but also all over the DEM. Consequently, it is shown that the proposed method is able to build a high fidelity TRN from a DEM without any additional information or features. 相似文献
15.
《International Journal of Digital Earth》2013,6(9):1013-1029
ABSTRACTThe effect of terrain shadow, including the self and cast shadows, is one of the main obstacles for accurate retrieval of vegetation parameters by remote sensing in rugged terrains. A shadow- eliminated vegetation index (SEVI) was developed, which was computed from only red and near-infrared top-of-atmosphere reflectance without other heterogeneous data and topographic correction. After introduction of the conceptual model and feature analysis of conventional wavebands, the SEVI was constructed by ratio vegetation index (RVI), shadow vegetation index (SVI) and adjustment factor (f (Δ)). Then three methods were used to validate the SEVI accuracy in elimination of terrain shadow effects, including relative error analysis, correlation analysis between the cosine of solar incidence angle (cosi) and vegetation indices, and comparison analysis between SEVI and conventional vegetation indices with topographic correction. The validation results based on 532 samples showed that the SEVI relative errors for self and cast shadows were 4.32% and 1.51% respectively. The coefficient of determination between cosi and SEVI was only 0.032 and the coefficient of variation (std/mean) for SEVI was 12.59%. The results indicate that the proposed SEVI effectively eliminated the effect of terrain shadows and achieved similar or better results than conventional vegetation indices with topographic correction. 相似文献
16.
C. Brunini F. Azpilicueta M. Gende E. Camilion A. Aragón Ángel M. Hernandez-Pajares M. Juan J. Sanz Dagoberto Salazar 《Journal of Geodesy》2011,85(12):931-939
This paper presents a technique for ingesting ground- and space-based dual-frequency GPS observations into a semi-empirical
global electron density model. The NeQuick-2 model is used as the basis for describing the global electron density distribution.
This model is mainly driven by the F2 ionosphere layer parameters (i.e. the electron density, N
m
F2, and the height, h
m
F2 of the F2 peak), which, in the absence of directly measured values, are computed from the ITU-R database (ITU-R 1997). This database was established using observations collected from 1954 to 1958 by a network of around 150 ionospheric sounders
with uneven global coverage. It allows computing monthly median values of N
m
F2 and h
m
F2 (intra-month variations are averaged), for low and high solar activity. For intermediate solar activity a linear interpolation
must be performed. Ground-based GNSS observations from a global network of ~350 receivers are pre-processed in order to retrieve
slant total electron content (sTEC) information, and space-based GPS observations (radio occultation data from the FORMOSAT-3/COSMIC
constellation) are pre-processed to retrieve electron density (ED) information. Both, sTEC and ED are ingested into the NeQuick-2
model in order to adapt N
m
F2 and h
m
F2, and reduce simultaneously both, the observed minus computed sTEC and ED differences. The first experimental results presented
in this paper suggest that the data ingestion technique is self consistent and able to reduce the observed minus computed
sTEC and ED differences to ~25–30% of the values computed from the ITU-R database. Although sTEC and ED are both derived from
GPS observations, independent algorithm and models are used to compute their values from ground-based GPS observations and
space-based FORMOSAT-3/COSMIC radio occultations. This fact encourages us to pursue this research with the aim to improve
the results presented here and assess their accuracy in a reliable way. 相似文献
17.
提出基于MODIS大气和地表产品反演高精度复杂地形下的光合有效辐射模型。该方法是对普通的大气传输模型进行简化, 在模型中分别考虑了削减光合有效辐射的5个主要因子: 瑞利散射、臭氧和水汽吸收、气溶胶散射以及地表和大气间的多次反射。从3个方面考虑了复杂地形对于光合有效辐射的影响: (1) 坡度和坡向; (2) 天空可视角; (3) 邻近地形的附加辐射。提取2006年晴空条件下的估算结果与中国生态网络山东禹城站和长白山站的实测值的比较, 得到相关系数分别为0.924和0.9, 表明模型反演结果能够较好地解译实际光合有效辐射的变化。通过比较考虑地形和不考虑地形2种情况得到的光合有效辐射, 定量地分析了地形对光合有效辐射的影响。 相似文献
18.
Ephemeris errors of GPS satellites 总被引：2，自引：0，他引：2
Oscar L. Colombo 《Journal of Geodesy》1986,60(1):64-84
Ephemeris errors are supposed to be a major factor limiting the usefulness ofGPS in high precision geodesy. Considerations of orbital mechanics suggest that, regardless of their complexity, the uncertainties
in the solar radiation pressure model, the gravity field model, and the estimated initial state, may have simple effects on
the ephemeris. This possibility has been tested by fitting linear combinations of simple functions—chosen on theoretical grounds—to
simulated errors of three-day ephemerides. With a set of five functions for the across-track component, six for the radial,
and seven for the along-track, it has been possible to fit the position errors to better than 1% of theirr.m.s values, in all the caces studied. The simulations included —besides solar radiation pressure errors—gravity field model and
initial state uncertainties, as well as an unknown constant force along the axis of the solar panels. The solar radiation
force was calculated taking into account the shape, orientation, and physical properties (reflectivity and specularity) of
the main parts of the spacecraft, under various conditions of illumination (continuous sunlight, eclipses, etc.). 相似文献
19.
GIDS空间插值法估算云下地表温度 总被引：1，自引：2，他引：1
选用陆面区域温度最佳空间插值法—梯度距离平方反比法(GIDS),为近似估算云下地表温度提供了可能。实验选取暖季南京江宁地区ETM+影像和ASTERGDEMV1高程数据,探索分析GIDS估算云下地表温度的可行性和可信性。对14种空间大小云覆盖区实验研究表明:利用GIDS插值估算云下地表温度具有可行性,且估算误差随着云覆盖区范围增大而增加,其最大MAE<0.9℃,最大RMSE<1.2℃,并在云覆盖区小于100×100像元时,最大MAE<0.8℃、RMSE<1℃;插值精度与最近邻无云像元典型代表性、区域内空间复杂度和地表覆盖类型均有关,存在不稳定性和动态性;云下NDVI均方差与MAE、RMSE有着一致变化趋势,借助NDVI均方差指示云下地表空间异质性及NDVI–LST负相关性,可对插值结果进行可信性评判,以避免插值结果盲目应用,推进和提升地表温度产品应用价值。 相似文献
20.
本文提出一种新的半经验地形校正模型SCEDIL(Simple topographic Correction using Estimation of Diffuse Light),该模型通过结合DEM与光学影像数据寻找局部区域内完全光照和阴影的水平像元,并以光照、阴影水平像元的平均反射率值估算局部区域散射辐射比,提高了陡峭山区影像的地形校正精度。以高分一号卫星和Landsat ETM+影像为例,从目视判读和定量分析两个方面,比较分析该算法与传统半经验地形校正算法(C、SCS+C)的校正结果。结果表明:(1)对较为平坦的地形,SCEDIL和C、SCS+C校正都有较好的目视结果;对地面起伏较大的陡峭地形,C、SCS+C校正后,原阴影区域易呈现破碎化特征,SCEDIL校正后,原阴影区域过渡较为平滑。(2)SCEDIL校正后,各波段反射率的均值和标准差优于C、SCS+C校正,SCEDIL校正后,影像总分类精度与同类地物光谱信息均一性均优于C和SCS+C校正。SCEDIL半经验地形校正方法能有效地去除影像中的地形干扰,尤其对陡峭地形的校正效果,优于常规地形校正模型。 相似文献