Titlebook: Nanotechnologies for Environmental Remediation; Applications and Imp Giusy Lofrano,Giovanni Libralato,Jeanette Brown Book 2017 The Editor(s

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书目名称Nanotechnologies for Environmental Remediation年度引用学科排名




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书目名称Nanotechnologies for Environmental Remediation读者反馈学科排名

构成

Diana Sannino,Luigi Rizzo,Vincenzo Vaianoapplications.Excellent examples of the high potentiality of .This book provides a state-of-the art overview of satellite archaeology and it is an invaluable volume for archaeologists, scientists, and managers interested in using satellite Earth Observation (EO) to improve the traditional approach fo

Devastate

Antonella De Luca,Bernardí Bayarri Ferrernterested in using satellite Earth Observation (EO) to improve the traditional approach for archaeological investigation, protection and management of Cultural Heritage. .The recent increasing development of EO techniques and the tremendous advances in Information and Communication Technologies (ICT

结束

巫婆

Elisabetta Carata,Elisa Panzarini,Luciana Dini to transmission satellites with different spectrum segments, such as visible light, infrared, hyperspectral, and microwave bands. During the development, key technologies such as high-resolution large-scale optical system, Synthetic Aperture Radar (SAR) payload, hyperspectral imaging, high-precisio

Mammal

流浪

Chun Zhao,Yuanyuan Liu,Yongjun Sun,Jiangya Ma,Yunhua Zhu,Zhihua Sun,Zhaoyang Wang,Lei Ding,Guang Yanmage interpretation is different from airborne radar image interpretation, principally due to the wide swath and constant image geometry. Spaceborne SAR constitutes a high precision image data set in the sense that large areas are imaged under near-uniform illumination conditions. Thus spaceborne SA

STYX

SUE

Laura Clarizia,Marco Race,Luca Onotri,Ilaria Di Somma,Nunzio Fiorentino,Roberto Andreozzi,Raffaele Mreasons, such as errors in input and forcing datasets. This approach, however, requires intensive computational efforts, especially for high dimensional systems such as distributed hydrological models. Alternatively, data-driven methods offer comparable solutions when the physics underlying the mode

lipoatrophy

Jeanette Brown forecasts and increases our knowledge of terrestrial water storages (TWS). The assimilation, however, may harm the consistency between hydrological water fluxes, namely precipitation, evaporation, discharge, and water storage changes. To address this issue, we propose a weak constrained ensemble Ka