Titlebook: Remote Sensing Time Series; Revealing Land Surfa Claudia Kuenzer,Stefan Dech,Wolfgang Wagner Book 2015 Springer International Publishing Sw

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書目名稱Remote Sensing Time Series影響因子(影響力)




書目名稱Remote Sensing Time Series影響因子(影響力)學(xué)科排名




書目名稱Remote Sensing Time Series網(wǎng)絡(luò)公開度




書目名稱Remote Sensing Time Series網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Remote Sensing Time Series被引頻次




書目名稱Remote Sensing Time Series被引頻次學(xué)科排名




書目名稱Remote Sensing Time Series年度引用




書目名稱Remote Sensing Time Series年度引用學(xué)科排名




書目名稱Remote Sensing Time Series讀者反饋




書目名稱Remote Sensing Time Series讀者反饋學(xué)科排名

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,Analysis of Snow Cover Time Series – Opportunities and Techniques,nsing has been used since the early 1970s to map terrestrial snow cover (Brown, J Clim 13:2339–2355, 2000) and both – sensors as well as retrieval algorithms – have undergone a substantial development since that time. This chapter will give a short introduction on how snow cover can be monitored fro

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TIMESAT: A Software Package for Time-Series Processing and Assessment of Vegetation Dynamics, biased noise, and can take missing data and quality flags into account. The software enables the extraction of seasonality parameters, like the beginning and end of the growing season, its length, integrated values, etc. TIMESAT has been used in a large number of applied studies for phenology param

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Land Surface Phenology in a West African Savanna: Impact of Land Use, Land Cover and Fire,ultural land use and fires, in addition to climatic variability. This study analyses the spatio-temporal patterns of land surface phenology in a Sudanian Savanna landscape of southern Burkina Faso based on time series of the Moderate Resolution Spectroradiometer (MODIS), and on multi-temporal Landsa

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