作者: Qing Chang , Jiahua Zhang , Wenzhe Jiao , Fengmei Yao
DOI: 10.1080/10106049.2016.1222633
关键词: Vegetation phenology 、 Satellite 、 Growing season 、 Normalized Difference Vegetation Index 、 Vegetation (pathology) 、 Climate change 、 Geography 、 Data source 、 Northern Hemisphere 、 Climatology
摘要: AbstractPhenology is a sensitive and critical feature of vegetation good indicator for climate change studies. The global inventory modelling mapping studies (GIMMS) normalized difference index (NDVI) has been the most widely used data source monitoring dynamics over large geographical areas in past two decades. With release third version NDVI (GIMMS NDVI3g) recently, it important to compare NDVI3g with those previous (NDVIg) link existing future applications phenology. In this study, three popular satellite start growing season (SOS) extraction methods were used, differences between SOSg SOS3g arising from explored. amplitude peak values are higher than NDVIg curve, which indicated that SOS derived (SOSg) was significantly later fr...