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

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Assessment of Vegetation Trends in Drylands from Time Series of Earth Observation Data,iew of suitable long-term Earth Observation (EO) based datasets for assessment of global dryland vegetation trends is provided and a status map of contemporary greening and browning trends for global drylands is presented. The vegetation metrics suitable for per-pixel temporal trend analysis is disc

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Assessing Rainfall-EVI Relationships in the Okavango Catchment Employing MODIS Time Series Data ando current and previous “effective” rainfall events. In this study a distributed lag model (DLM) was used to assess the impact of current and previous 16 day rainfall anomalies on the Enhanced Vegetation Index (EVI) as a proxy for ANPP in the Okavango catchment (South Africa). The two important aspec

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Investigating Fourteen Years of Net Primary Productivity Based on Remote Sensing Data for China,yses of NPP time-series allow for understanding temporal patterns and changes in vegetation productivity. These are especially important in rapidly changing environments, such as China, the world’s third largest country. In this study, we use the model BETHY/DLR (Biosphere Energy Transfer Hydrology

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Investigating Radar Time Series for Hydrological Characterisation in the Lower Mekong Basin,ter on the radar signal. The proper monitoring and analysis of such temporally dynamic phenomena requires dense time series data. Radar time series data is also useful for mitigating uncertainties in individual images, e.g. for the mapping of permanent water bodies. This chapter reviews capabilities