منابع مشابه
Enhancement of the Modis Daily Snow Albedo Product
The MODIS daily snow albedo product is a data layer in the MOD10A1 snow-cover product that includes snow-covered area and fractional snow cover as well as quality information and other metadata (Riggs et al., 2006; Hall and Riggs, 2007). It was developed to augment the MODIS BRDF/Albedo algorithm (MCD43) that provides 16-day maps of albedo globally at 500-m resolution (Schaaf et al., 2002). But...
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In this paper we study the impact of using images to machine-translate user-generated ecommerce product listings. We study how a multi-modal Neural Machine Translation (NMT) model compares to two text-only approaches: a conventional state-of-the-art attentional NMT and a Statistical Machine Translation (SMT) model. User-generated product listings often do not constitute grammatical or well-form...
متن کاملData Mining from Remote Sensing Snow and Vegetation Product
Snow is an important research interest in international cryosphere research. In China, cold region account for 43% of the total area (Yang et al., 2000). The area of stable snow where snow cover duration is greater than 60 days is approximately 420×104km2. In West China, the recharge to spring freshet from winter snow is a necessary regulation for spring drought (Qin et al., 2006). However, lar...
متن کاملReduction of Cloud Obscuration in the MODIS Snow Data Product
A challenging problem in snow mapping is the discrimination of snow from clouds. Snow and clouds often have similar spectral reflectance features across the spectrum and may have similar temperatures making discrimination difficult. Data from the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the NASA Earth Observing System (EOS) Terra spacecraft, is used to generate many geophys...
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ژورنال
عنوان ژورنال: TranscUlturAl: A Journal of Translation and Cultural Studies
سال: 2017
ISSN: 1920-0323
DOI: 10.21992/t9zd03