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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Surface energy fluxes with the Advanced Spaceborne Thermal Emission and Reflection radiometer (ASTER) at the Iowa 2002 SMACEX site (USA)
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Surface energy fluxes with the Advanced Spaceborne Thermal Emission and Reflection radiometer (ASTER) at the Iowa 2002 SMACEX site (USA)

机译：使用爱荷华州2002 SMACEX站点（美国）的先进星载热发射和反射辐射计（ASTER）的表面能通量

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摘要

Accurate estimation of surface energy fluxes from space at high spatial resolution has the potential to improve prediction of the impact of land-use changes on the local environment and to provide a means to assess local crop conditions. To achieve this goal, a combination of physically based surface flux models and high-quality remote-sensing data are needed. Data from the ASTER sensor are particularly well-suited to the task, as it collects high spatial resolution (15-90 m) images in visible, near-infrared, and thermal infrared bands. Data in these bands yield surface temperature, vegetation cover density, and land-use types, all critical inputs to surface energy balance models for assessing local environmental conditions, ASTER is currently the only satellite sensor collecting multispectral thermal infrared images, a capability allowing unprecedented surface temperature estimation accuracy for a variety of surface cover types. Availability of ASTER data to study surface energy fluxes allows direct comparisons against ground measurements and facilitates detection of modeling limitations, both possible because of ASTER's higher spatial resolution. Surface energy flux retrieval from ASTER is demonstrated using data collected over an experimental site in central Iowa, USA, in the framework of the Soil Moisture Atmosphere Coupling Experiment (SMACEX). This experiment took place during the summer of 2002 in a study of heterogeneous agricultural croplands. Two different flux estimation approaches, designed to account for the spatial variability, are considered: the Two-Source Energy Balance model (TSEB) and the Surface Energy Balance Algorithm or Land model (SEBAL). ASTER data are shown to have spatial and spectral resolution sufficient to derive surface variables required as inputs for physically based energy balance modeling. Comparison of flux model results against each other and against ground based measurements was promising, with flux values commonly agreeing within -50 W m{sup}(-2). Both TSEB and SEBAL showed systematic agreement and responded to spatially varying surface temperatures and vegetation densities. Direct comparison against ground Eddy Covariance data suggests that the TSEB approach is helpful over sparsely vegetated terrain.
机译：以高空间分辨率准确估算来自空间的表面能通量，有可能改善对土地利用变化对当地环境影响的预测，并提供一种评估当地作物状况的手段。为了实现这一目标，需要结合基于物理的表面通量模型和高质量的遥感数据。来自ASTER传感器的数据特别适合该任务，因为它可以收集可见，近红外和热红外波段中的高空间分辨率（15-90 m）图像。这些波段中的数据产生地表温度，植被覆盖密度和土地利用类型，这是用于评估局部环境条件的地表能量平衡模型的所有关键输入，ASTER是目前唯一收集多光谱热红外图像的卫星传感器，该功能可实现空前的地表各种表面覆盖类型的温度估算精度。 ASTER数据可用于研究表面能通量，从而可以与地面测量结果进行直接比较，并有助于检测建模限制，这两者都可以归因于ASTER更高的空间分辨率。在土壤水分-大气耦合实验（SMACEX）的框架下，使用在美国爱荷华州中部一个实验点收集的数据证明了从ASTER提取表面能通量。该实验于2002年夏季进行，研究对象是异种农业耕地。考虑了两种不同的通量估计方法（旨在解决空间变异性）：双源能量平衡模型（TSEB）和表面能量平衡算法或土地模型（SEBAL）。 ASTER数据显示具有足够的空间和光谱分辨率，可以导出作为基于物理的能量平衡建模输入所需的表面变量。通量模型结果彼此之间以及与地面测量结果之间的比较是有希望的，通量值通常在-50 W m {sup}（-2）之内。 TSEB和SEBAL都显示出系统的一致性，并对空间变化的地表温度和植被密度做出了响应。与地面涡流协方差数据的直接比较表明，TSEB方法在植被稀疏的地形上非常有用。

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