共查询到20条相似文献，搜索用时 140 毫秒
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为了提高地面气象站稀少地区地表温度遥感反演的精度,本文基于多源遥感数据的优势,首先利用MODIS影像获取研究区像元尺度上平均大气水汽含量;然后利用同时相的HJ-1B影像估算区域地表比辐射率,再采用温度-植被指数法获取近地表大气温度;最后将以上3个参数输入单窗体算法,改进其地表温度反演的精度。研究结果表明,改进单窗体算法反演地表温度与地面实测温度的偏差小于1 K,为地面气象站点稀少的植被覆盖区域提供了一种可行的精确遥感反演地表温度方法。 相似文献
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基于HJ-1B数据和SEBAL模型的陆面蒸散发遥感估算 总被引：1，自引：0，他引：1
利用HJ-1B卫星数据和SEBAL模型,进行了淮河上游段的陆面蒸散发(ET)遥感估算。选取2010年4期少云的HJ-1B卫星影像,首先对ET估算中需要的中间变量——地表温度、地表反照率进行了反演,反演结果与MODIS产品结果基本一致;在此基础上,结合部分地面气象观测数据,基于SEBAL模型进行ET估算,并利用水文站点的实测蒸发皿数据对估算的日蒸散发结果进行验证,相对误差在10%之内。将ET估算值与土地利用覆盖类型、地形因子对比分析发现,不同土地覆盖类型的ET量不同,ET空间变异性与地形特征有一定关联。 相似文献
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由于对不同的传感器,单通道算法中的经验公式必须根据相应的热红外波段特征重新进行拟合,该文以覆盖广州市的卫星影像HJ-1B/CCD和HJ-1B/IRS为数据源,利用基于同步面上像元尺度的多源遥感数据MOD021KM,并结合上下行辐射和地表比辐射率来反演大气水汽含量以及大气透射率。在此基础上,针对环境卫星,提出修正的普适性单通道算法、大气辐射传输方程算法和单窗算法3种模型,进行广州市地表温度反演,最后利用野外观测数据进行验证。结果表明,相比普适性单通道算法和单窗算法,辐射传输方程模型精度比较高。 相似文献
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云层对地气系统辐射能量平衡有重要的调节作用,然而传统1维大气辐射传输模型仅能考虑晴空和全云两种情况。为了更好地研究云层对地表短波辐射的影响,以大气辐射传输模型SBDART(Santa Barbara Disort Atmospheric Radiative Transfer)为基础,在短波辐射传输基本方程中引入半球天空有效云覆盖度和区域真实云覆盖度两个关键云参数,考虑太阳方向和半球天空云层覆盖情况,对模型进行几何关系的修正。结合短波辐射的影响因素和SBDART模型的内置参数,选择13个参数,使用全局定量敏感性分析软件Sim Lab对修正后的模型进行参数敏感性分析及应用讨论。研究结果表明:该模型能够较好地描述云层对地表短波辐射的影响;对下行短波辐射和地表短波净辐射而言,太阳天顶角和地表反照率的影响最为显著;两个云覆盖参数在很大程度上也影响了地表短波辐射分量;在模型实际应用过程中,敏感性较强的6个参数均可以通过卫星遥感数据得到,模型具有较好的应用前景。由此可见,改进的短波辐射传输模型能够更好地考虑不同云层条件下、不同太阳–云–观测几何下的短波辐射传输问题,有利于提高短波辐射参量的遥感反演精度。 相似文献
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地表温度是是决定地表辐射能量收支的重要变量,在岩石圈、水圈、生物圈和大气圈的能量平衡和水量平衡研究中起着重要作用。利用热红外遥感技术可实现区域和全球尺度地表温度的快速获取,其受到了研究者的广泛关注。目前,FY-3D是国内光谱分辨率最高的对地观测卫星,极大的提高了对地观测能力,其搭载的中分辨率光谱成像仪（MERSI-II）经过大幅升级改进,性能有了显著提升,热红外数据的空间分辨率达到了250 m。本文使用大气辐射传输模型MODTRAN 5模拟了MERSI-II传感器热红外通道星上观测数据。在此基础上,构建了通用劈窗地表温度反演模型,结合ASTER GED全球地表发射率产品以及MERSI-II自身大气水汽反演算法,发展了地表温度遥感反演方法。最后,利用2019-08内蒙古乌海沙漠地区及美国SURFRAD多个站点的实测地表温度数据对本文提出的方法进行了验证。研究结果表明,相较地表实测数据,构建的劈窗算法反演的地表温度RMSE在1.6—2.6 K,反演精度达到了预期目标,还具有较高的空间分辨率,可以用于业务化的地表温度的反演,同时也说明其辐射定标精度有了一定保证,有效满足了区域和全球尺度地表温度遥感监测应用需求。 相似文献
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基于Landsat-8数据,采用遥感Priestly-Taylor模型分别估算蓟州区的净辐射通量以及归一化植被指数,进一步计算蓟州区日蒸散发量.区域蒸散发的遥感反演主要解决以下两个问题:一是遥感地表温度的反演;二是估算各类遥感模型所需的地表参数(叶面积指数、NDVI、地表阻抗等),结合物理模型或者半经验公式估算区域蒸散... 相似文献
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作为驱动地表与大气之间能量交换的关键物理量,地表温度在众多领域中都发挥着重要作用,包括气候变化、环境监测、蒸散发估算以及地热异常勘探等。Landsat热红外数据因其时间连续性和高空间分辨率等特点被广泛应用于地表温度反演中。本文详细地介绍了Landsat热红外传感器及其可用的数据与产品的现状,梳理了2001年—2020年20年间基于Landsat热红外数据的地表温度遥感反演与应用的相关文献发表及互引情况,系统地综述了基于Landsat热红外数据的地表温度反演算法,包括基于辐射传输方程的算法、单窗算法、普适性单通道算法、实用单通道算法和分裂窗算法等。在此基础上,进一步介绍了每种算法的参数化方案,包括地表比辐射率和大气参数的估算方法。最后针对Landsat热红外数据地表温度遥感反演提出了未来可能的发展趋势与研究方向。 相似文献
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热红外地表温度遥感反演方法研究进展 总被引：6，自引：0，他引：6
地表温度是表征地表过程变化的一个非常重要的特征物理量,是地表—大气能量交换的直接驱动因子,广泛地用于地表能量平衡、气候变化和资源环境监测等研究领域。本文系统地评述了热红外地表温度遥感反演方法,包括单通道算法、多通道算法、多角度算法、多时相算法和高光谱反演算法。回顾了地表温度反演的基础理论和方法;并在此基础上,进一步综述了地表温度遥感反演的验证方法,以及地表温度的时间和角度归一化方法;最后对未来提高地表温度反演精度的研究方向提出了建议。 相似文献
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Metropolitan Beijing is facing many environmental problems such as haze and urban heat island due to the rapid urbanization. Surface shortwave, longwave, and net radiations are key components of the surface-atmosphere radiation budget. Since megacities are affected by the thermal radiation of complex landscape structures and atmospheric environments, quantitative and spatially explicit retrieval from remotely sensed data remains a challenge. We collected the surface radiation fluxes from seven fixed sites representing different land-use types to calibrate the local parameters for remotely sensed retrieval of net radiation. We proposed a remote sensing–based surface radiation retrieval method by embedding the underlying land covers and integrating the observational data. The improved method is feasible to accurately retrieve surface radiation and delineate spatial characteristics in metropolitan areas. The accuracy evaluation indicated that the difference between remotely sensed and in situ observed net radiation ranged within 0~± 40 W· m?2. The root mean squared error of the estimated net surface radiation was 32.71 W· m?2. The strongly spatial heterogeneity of surface radiation components in metropolitan Beijing was closely related to land-cover patterns from urban area to outskirts. We also found that the surface net radiation had a decreasing trend from 1984 to 2014, and the net radiation in the urban area was lower than that in the outskirts. According to the surface radiation budgets, urbanization resulted in the cooling effect in net radiation flux in the daytime, which was stemmed from low atmospheric transmittances from massive aerosol concentration and high surface albedo from light building materials. 相似文献
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《International Journal of Digital Earth》2013,6(8):764-784
ABSTRACTThe net all-wave radiation of the Great Lakes (GL) is a key to understanding the effects of climate change on the GL. There is a high possibility of underestimating the net all-wave radiation of the GL when using existing methodologies with inputs from near-shore and land-based meteorological data. This study provides the first technique to estimate net all-wave radiation over the GL from July 2001 to December 2014 using a combination of data from satellite remote sensing, reanalysis data sets, and direct measurements. The components of the surface radiation budget estimated from the proposed method showed good statistical agreement. The instantaneous net radiation estimated by our methods was compared with the in situ measurements from June 2008 to April 2012 (Stannard Rock Lighthouse: SR) and September 2009–April 2011 (Spectacle Reef Lighthouse: SP). The comparisons from SR and SP also showed strong statistic agreement (R2?=?0.74 and 0.7; RMSE?=?9.26 and 10.60?W?m?2 respectively). Monthly spatial variations of net shortwave radiation varied with cloud cover and surface albedo while net longwave radiation varied with the temperature difference between the water surface and the atmosphere. 相似文献
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同化MODIS温度产品估算地表水热通量 总被引：4，自引：0，他引：4
基于集合卡尔曼滤波和通用陆面模型(CLM 1.0)发展了一个地表温度的同化系统。这个系统同化了MODIS温度产品, 并将MODIS的叶面积指数引入CLM模型中, 主要用于改进地表水热通量的估算精度。将CLM输出的地表温度与MODIS地表温度建立关系, 并作为同化系统的观测算子。将MODIS地表温度与实测地表温度进行了比较, 将其均方差(Root Mean Square Error, RMSE)作为观测误差。选取3个美国通量网站点(Blackhill、Bondville、Brookings)作为实验数据, 结果表明: 同化结果中地表温度、显热通量的估算精度均有提高。其中Blackhill站的估算精度改进最大, 均方差由81.5W·m-2减小到58.4W·m-2, Bondville站均方差由47.0W·m-2减小到31.8W·m-2, Brookings站均方差由46.5W·m-2减小到45.1W·m-2。潜热通量估算精度在Bondville站均方差由88.6W·m-2减小到57.7W·m-2, Blackhill站均方差由53.4W·m-2减小到47.2W·m-2。总之, 结合陆面过程模型同化MODIS温度产品估算地表水热通量是可行的。 相似文献
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Surface soil moisture (SSM) is a critical variable for understanding the energy and water exchange between the land and atmosphere. A multi-linear model was recently developed to determine SSM using ellipse variables, namely, the center horizontal coordinate (x0), center vertical coordinate (y0), semi-major axis (a) and rotation angle (θ), derived from the elliptical relationship between diurnal cycles of land surface temperature (LST) and net surface shortwave radiation (NSSR). However, the multi-linear model has a major disadvantage. The model coefficients are calculated based on simulated data produced by a land surface model simulation that requires sufficient meteorological measurements. This study aims to determine the model coefficients directly using limited meteorological parameters rather than via the complicated simulation process, decreasing the dependence of the model coefficients on meteorological measurements. With the simulated data, a practical algorithm was developed to estimate SSM based on combined optical and thermal infrared data. The results suggest that the proposed approach can be used to determine the coefficients associated with all ellipse variables based on historical meteorological records, whereas the constant term varies daily and can only be determined using the daily maximum solar radiation in a prediction model. Simulated results from three FLUXNET sites over 30 cloud-free days revealed an average root mean square error (RMSE) of 0.042 m3/m3 when historical meteorological records were used to synchronously determine the model coefficients. In addition, estimated SSM values exhibited generally moderate accuracies (coefficient of determination R2 = 0.395, RMSE = 0.061 m3/m3) compared to SSM measurements at the Yucheng Comprehensive Experimental Station. 相似文献
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Yunjun Yao Shunlin Liang Qiming Qin Kaicun Wang Shaohua Zhao 《International Journal of Applied Earth Observation and Geoinformation》2011
The latent heat of evapotranspiration (ET) plays an important role in the assessment of drought severity as one sensitive indicator of land drought status. A simple and accurate method of estimating global ET for the monitoring of global land surface droughts from remote sensing data is essential. The objective of this research is to develop a hybrid ET model by introducing empirical coefficients based on a simple linear two-source land ET model, and to then use this model to calculate the Evaporative Drought Index (EDI) based on the actual estimated ET and the potential ET in order to characterize global surface drought conditions. This is done using the Global Energy and Water Cycle Experiment (GEWEX) Surface Radiation Budget (SRB) products, AVHRR-NDVI products from the Global Inventory Modeling and Mapping Studies (GIMMS) group, and National Centers for Environmental Prediction Reanalysis-2 (NCEP-2) datasets. We randomly divided 22 flux towers into two groups and performed a series of cross-validations using ground measurements collected from the corresponding flux towers. The validation results from the second group of flux towers using the data from the first group for calibration show that the daily bias varies from −6.72 W/m2 to 12.95 W/m2 and the average monthly bias is −1.73 W/m2. Similarly, the validation results of the first group of flux towers using data from second group for calibration show that the daily bias varies from −12.91 W/m2 to 10.26 W/m2 and the average monthly bias is −3.59 W/m2. To evaluate the reliability of the hybrid ET model on a global scale, we compared the estimated ET from the GEWEX, AVHRR-GIMMS-NDVI, and NECP-2 datasets with the latent heat flux from the Global Soil Wetness Project-2 (GSWP-2) datasets. We found both of them to be in good agreement, which further supports the validity of our model's global ET estimation. Significantly, the patterns of monthly EDI anomalies have a good spatial and temporal correlation with the Palmer Drought Severity Index (PDSI) anomalies from January 1984 to December 2002, which indicates that the method can be used to accurately monitor long-term global land surface drought. 相似文献
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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
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Water and energy balance interactions with vegetation in mountainous terrain are influenced by topographic effects, spatial variation in vegetation type and density, and water availability. This is the case for the mountainous areas of northern Portugal, where ancestral irrigated meadows (lameiros) are a main component of a complex vegetation mosaic. The widely used surface energy balance model METRIC was applied to four Landsat images to determine the spatial and temporal distribution of the energy balance terms in the identified land cover types (LCT). A discussion on the variability of evapotranspiration (ET) through the various vegetation types was supported by a comparison between the respective crop coefficients and those available in the literature corresponding to the LCT, which has shown the appropriateness of METRIC estimates of ET. METRIC products derived from images of May and June – NDVI, surface temperature, net radiation, soil heat flux, sensible heat flux, and ET – were used to characterize the LCTs, through application of principal component analysis. Three principal components explained the variance of observed variables and their varimax rotated loadings allowed a good explanation of the behaviour of the explanatory variables in association with the LCTs. Information gained contributes to improve the characterization of the study area and may further support conservation and management of these mountain landscapes. 相似文献
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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
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《International Journal of Digital Earth》2013,6(3):203-218
Abstract While data like HJ-1 CCD images have advantageous spatial characteristics for describing crop properties, the temporal resolution of the data is rather low, which can be easily made worse by cloud contamination. In contrast, although Moderate Resolution Imaging Spectroradiometer (MODIS) can only achieve a spatial resolution of 250 m in its normalised difference vegetation index (NDVI) product, it has a high temporal resolution, covering the Earth up to multiple times per day. To combine the high spatial resolution and high temporal resolution of different data sources, a new method (Spatial and Temporal Adaptive Vegetation index Fusion Model [STAVFM]) for blending NDVI of different spatial and temporal resolutions to produce high spatial–temporal resolution NDVI datasets was developed based on Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM). STAVFM defines a time window according to the temporal variation of crops, takes crop phenophase into consideration and improves the temporal weighting algorithm. The result showed that the new method can combine the temporal information of MODIS NDVI and spatial difference information of HJ-1 CCD NDVI to generate an NDVI dataset with both high spatial and high temporal resolution. An application of the generated NDVI dataset in crop biomass estimation was provided. An average absolute error of 17.2% was achieved. The estimated winter wheat biomass correlated well with observed biomass (R 2 of 0.876). We conclude that the new dataset will improve the application of crop biomass estimation by describing the crop biomass accumulation in detail. There is potential to apply the approach in many other studies, including crop production estimation, crop growth monitoring and agricultural ecosystem carbon cycle research, which will contribute to the implementation of Digital Earth by describing land surface processes in detail. 相似文献