Evaluation of a Global Vegetation Model using time series of satellite vegetation indices

Estimation of vegetation cover resilience from satellite time series

Resilience is a fundamental concept for understanding vegetation as a dynamic component of the climate system. It expresses the ability of ecosystems to tolerate disturbances and to recover their initial state. Recovery times are basic parameters of the vegetation’s response to forcing and, therefore, are essential for describing realistic 5 vegetation within dynamical models. Healthy vegetatio...

Investigation on the Patterns of Global Vegetation Change Using a Satellite-Sensed Vegetation Index

The pattern of vegetation change in response to global change still remains a controversial issue. A Normalized Difference Vegetation Index (NDVI) dataset compiled by the Global Inventory Modeling and Mapping Studies (GIMMS) was used for analysis. For the period 1982–2006, GIMMS-NDVI analysis indicated that monthly NDVI changes show homogenous trends in middle and high latitude areas in the nor...

Performance evaluation of vegetation indices using remotely sensed data

Vegetation is one of the most important components of the ecosystems. Knowledge about variations in vegetation species and community distribution patterns, alternations in vegetation phonological (growth) cycles, and modifications in plant physiology and morphology provide a valuable insight in to the climate, geologic and physiographic, characteristics of an area, so mapping vegetation cover i...

Evaluation of Three MODIS-Derived Vegetation Index Time Series for Dryland Vegetation Dynamics Monitoring

Understanding the spatial and temporal dynamics of vegetation is essential in drylands. In this paper, we evaluated three vegetation indices, namely the Normalized Difference Vegetation Index (NDVI), the Soil-Adjusted Vegetation Index (SAVI) and the Enhanced Vegetation Index (EVI), derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) Surface-Reflectance Product in the Xinjiang...

Long-Term Detection of Global Vegetation Phenology from Satellite Instruments