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Retrievals of key biophysical parameters at mesoscale from the Ts/VI scatterplot domain
Geocarto International ( IF 3.8 ) Pub Date : 2020-10-14 , DOI: 10.1080/10106049.2020.1821099
George P. Petropoulos 1 , Dionissios Hristopulos 2
Affiliation  

Abstract

Earth Observation (EO) is often combined with simulated process models to gain insight on key parameters for the physical mechanisms and interactions of the Earth's system. The objective of this study is two-fold: First, it explores the combined use of EO data from the Advanced Along-Track Scanning Radiometer (AATSR) with the SimSphere land biosphere model via the “triangle” to derive latent (LE) and sensible heat (H) fluxes and soil moisture content (SMC) for diverse European ecosystems. Secondly, it investigates the influence of atmospheric correction on the “triangle”-derived retrievals. Both non-atmospherically (1P) and atmospherically corrected (2P) AATSR data products are used. The data cover selected days from 2007 to 2011 at 12 sites of a European ground monitoring network. For all the predicted parameters, the 2P product leads to improved statistical validation measures. The present study for the first time: (1) assesses the triangle technique at 1km mesoscale resolution using AATSR data; (2) investigates the effects of atmospheric correction and surface heterogeneity on prediction accuracy. The findings provide important information regarding potential operational use of the technique.



中文翻译:

从 Ts/VI 散点图域检索中尺度关键生物物理参数

摘要

地球观测 (EO) 通常与模拟过程模型相结合,以深入了解地球系统物理机制和相互作用的关键参数。本研究的目的有两个:首先,它探索了通过“三角形”将来自高级沿轨道扫描辐射计 (AATSR) 的 EO 数据与 SimSphere 陆地生物圈模型结合使用,以推导出潜在 (LE) 和敏感不同欧洲生态系统的热 (H) 通量和土壤水分含量 (SMC)。其次,研究了大气校正对“三角形”衍生反演的影响。使用非大气 (1P) 和大气校正 (2P) AATSR 数据产品。数据涵盖了从 2007 年到 2011 年在欧洲地面监测网络的 12 个站点的选定日期。对于所有预测参数,2P 产品导致改进的统计验证措施。本研究首次:(1)利用AATSR数据评估1km中尺度分辨率的三角技术;(2) 研究大气校正和地表异质性对预测精度的影响。研究结果提供了有关该技术潜在操作使用的重要信息。

更新日期:2020-10-14
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