Interannual variations and trends in global land surface phenology derived from enhanced vegetation index during 1982–2010

Variations in satellite-derived phenology in China’s temperate vegetation

The relationship between vegetation phenology and climate is a crucial topic in global change research because it indicates dynamic responses of terrestrial ecosystems to climate changes. In this study, we investigate the possible impact of recent climate changes on growing season duration in the temperate vegetation of China, using the advanced very high resolution radiometer (AVHRR)/normalize...

Modeling of vegetation index and land surface temperature to identify and compare the changing trends, using generalized estimating equations

Normalized difference vegetation index and land surface temperature data, in a sample plot each from east, center and west of Nepal, from 2000 to 2015, were analyzed to identify and compare the trends of vegetation and temperature changes during the period. The data were obtained from moderate resolutions imaging spectro-radiometer. Normalized difference vegetation index charactiszes a resoluti...

Analysis of Differences in Phenology Extracted from the Enhanced Vegetation Index and the Leaf Area Index

Remote-sensing phenology detection can compensate for deficiencies in field observations and has the advantage of capturing the continuous expression of phenology on a large scale. However, there is some variability in the results of remote-sensing phenology detection derived from different vegetation parameters in satellite time-series data. Since the enhanced vegetation index (EVI) and the le...

Surface Observed Global Land Precipitation Variations during 1900–88

The authors have analyzed global station data and created a gridded dataset of monthly precipitation for the period of 1900–88. Statistical analyses suggest that discontinuities associated with instrumental errors are large for many high-latitude station records, although they are unlikely to be significant for the majority of the stations. The first leading EOF in global precipitation fields i...

Long-Term Detection of Global Vegetation Phenology from Satellite Instruments