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首页> 外文期刊>Earth System Science Data Discussions >Seasonal evolution of soil and plant parameters on the agricultural Gebesee test site: a database for the set-up and validation of EO-LDAS and satellite-aided retrieval models
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Seasonal evolution of soil and plant parameters on the agricultural Gebesee test site: a database for the set-up and validation of EO-LDAS and satellite-aided retrieval models

机译:农业Gebesee试验场上土壤和植物参数的季节性变化:用于建立和验证EO-LDAS和卫星辅助检索模型的数据库

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Ground reference data are a prerequisite for the calibration, update, and validation of retrieval models facilitating the monitoring of land parameters based on Earth Observation data. Here, we describe the acquisition of a comprehensive ground reference database which was created to test and validate the recently developed Earth Observation Land Data Assimilation System (EO-LDAS) and products derived from remote sensing observations in the visible and infrared range. In situ data were collected for seven crop types (winter barley, winter wheat, spring wheat, durum, winter rape, potato, and sugar beet) cultivated on the agricultural Gebesee test site, central Germany, in 2013 and 2014. The database contains information on hyperspectral surface reflectance factors, the evolution of biophysical and biochemical plant parameters, phenology, surface conditions, atmospheric states, and a set of ground control points. Ground reference data were gathered at an approximately weekly resolution and on different spatial scales to investigate variations within and between acreages. In situ data collected less than 1?day apart from satellite acquisitions (RapidEye, SPOT?5, Landsat-7 and -8) with a cloud coverage ?≤??25?% are available for 10 and 15?days in 2013 and 2014, respectively. The measurements show that the investigated growing seasons were characterized by distinct meteorological conditions causing interannual variations in the parameter evolution. Here, the experimental design of the field campaigns, and methods employed in the determination of all parameters, are described in detail. Insights into the database are provided and potential fields of application are discussed. The data will contribute to a further development of crop monitoring methods based on remote sensing techniques. The database is freely available at PANGAEA (https://doi.org/10.1594/PANGAEA.874251).
机译:地面参考数据是校准,更新和验证取回模型的先决条件,这些模型有助于根据“地球观测”数据监视土地参数。在这里,我们描述了一个全面的地面参考数据库的获取,该数据库的创建是为了测试和验证最近开发的地球观测土地数据同化系统(EO-LDAS)以及从可见光和红外范围的遥感观测得出的产品。收集了2013年和2014年在德国中部农业Gebesee试验场种植的7种作物类型的原地数据(冬大麦,冬小麦,春小麦,硬粒小麦,冬油菜,马铃薯和甜菜)。该数据库包含信息高光谱表面反射因子,生物物理和生化植物参数,物候,表面条件,大气状态和一组地面控制点的演变。以大约每周的分辨率和不同的空间尺度收集地面参考数据,以调查英亩内和英亩之间的变化。除卫星采集(RapidEye,SPOT?5,Landsat-7和-8)外,在不到1天的时间内收集的云数据≤25%的原位数据在2013年和2014年的10天和15天可用, 分别。测量结果表明,所调查的生长季节的特征是明显的气象条件,导致参数演变的年际变化。在此,将详细介绍野战活动的实验设计以及确定所有参数所采用的方法。提供了对数据库的见解,并讨论了潜在的应用领域。这些数据将有助于进一步发展基于遥感技术的作物监测方法。该数据库可从PANGEA(https://doi.org/10.1594/PANGAEA.874251)免费获得。

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