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Atmospheric water vapour effects represent a major limitation of repeat-pass Interferometric SAR (InSAR) techniques including InSAR time series approaches (e.g. permanent scatterers (PS) and small bas...
The aim of this study was to compare percent tree cover products of Envisat MERIS and MODIS data of Seyhan River Basin at the Eastern Mediterranean Region of Turkey. In this study, Regression Tree (RT...
The aim of this study was to classify Envisat MERIS and Landsat ETM satellite sensor imagery using fuzzy classification techniques such as, linear mixture modelling and artificial neural networks. The...
As confirmed by many scientists, atmosphere has intensive contaminative role on Interferometric Synthetic Aperture Radar (InSAR) measurements. Atmospheric parameters, always influence radar’s phase bu...
A representative BRDF/albedo is required by ESA1 for the improved retrieval of atmospheric products, such as water vapour, from the ENVISAT-MERIS instrument. This BRDF/albedo is required at 13 of t...
The physically based Modular Inversion & Processing System (MIP) is used in an automized processing chain for inland water constituent retrieval from MERIS level 1B data. Preprocessing routines are u...
The possibilities of using MERIS full resolution (FR) data to extract sub-pixel land cover composition over The Netherlands are explored in this paper. More precisely, the use of MERIS FR time series...
In the framework of Geoland, Infoterra France has mapped with MERIS the distribution of annual crops surfaces in Belgium, Poland and Russia (Rostov oblast). The maps provided are the acreages of main...
Anthropogenic land use activities are significantly contributing to the ecological degradation of the Earth system. Therefore, having actual and reliable land cover information is fundamental to stud...
This paper describes the results of a preliminary study towards the use of MERIS data for land cover classification in the Ukrainian Carpathians. The work is carried out in the frames of BEAR initiat...
Combining water vapor data from gps and meris.     GPS  MERIS  Kriging       2015/8/20
Improved knowledge of atmospheric water vapor and its temporal and spatial variability is of great scientific interest for climate research and weather prediction, but also geodetic positioning appli...
Boreal forests and wetlands play an important role in the climate system, in particular through biosphere-atmosphere flux exchanges.They are an important pool of carbon and their role as sink or sourc...
基于2004~2010年太湖4次野外观测数据,结合MERIS遥感资料,评价两波段、三波段、改进三波段和四波段4个模型在浑浊II类水体叶绿素a浓度估算的精度,并利用太湖(13个有效样点)以及巢湖(21个有效样点)进行模型验证.结果表明,改进三波段模型反演叶绿素a浓度较高,更适于浑浊II类水体叶绿素a浓度的遥感反演,决定系数R2在0.34~0.94之间变化,RMSE变化范围为: 3.17~8.70 μ...
分析了永久散射体PS(Permanent Scatlerers)处理中进行大气改正的必要性,介绍了大气改正的方法,指出现有方法存在 的不足; 结合利用MERIS数据进行大气改正的优势,提出了基于MERIS数据的PS处理中大气改正的模型。采用青藏高原北麓河实验区 ASAR数据对该模型进行验证的结果表明,该方法能够有效提高永久散射体处理中大气改正的可信性,从而使得利用相对较少的ASAR数 据进行...
第三代水色传感器MERIS的荧光通道的合理设置为荧光遥感法的应用提供了广阔的发展前景。利用MERIS数据、同步地面光谱和水质监测数据,分别通过基线荧光高度(FLH)、归一化荧光高度(NFH)和最大叶绿素指数(MCI)建立了太湖叶绿素a浓度的荧光遥感估算模型。结果表明:MERIS荧光参数中最大叶绿素指数(MCI)较基线荧光高度(FLH)更适合太湖水体叶绿素a浓度的反演;归一化荧光高度(NFH)与实测...

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