As one of the earliest remote sensing indices, the Normalized Difference Vegetation Index
(NDVI) has been employed extensively for vegetation research. However, despite an …

Understanding the variation of autumn phenology and its climatic drivers is important for
predicting terrestrial carbon cycles in the temperate grasslands of China. Using …

Seasonal patterns of water availability can differ dramatically among ecosystems, with well‐
known consequences for ecosystem structure and functioning. Less appreciated is that …

The extraction of phenological events in forest and agriculture commonly relies on
Vegetation Indices (VI) composed by visible and near infrared bands from satellite images …

Urban spring phenology changes governed by multiple biological and environmental factors
significantly impact urban ecosystem functions and services. However, the temporal …

Spring vegetation phenology is highly sensitive to global change. However, the effects of
ongoing climate warming and N deposition on grassland spring phenology and how abiotic …

Current knowledge of the spatiotemporal patterns of changes in soil moisture-based
terrestrial aridity has considerable uncertainty. Using Standardized Soil Moisture Index (SSI) …

Vegetation phenology is sensitive to climate change and has been defined as the footprint of
ongoing climate change. Previous studies have shown that the spatial difference in China's …

Vegetation phenology influences many ecosystem and climate processes, such as carbon
uptake and energy and water cycles. Thus, understanding drivers of vegetation phenology is …

Over the past decades, global warming has led to a lengthening of the time window during
which temperatures remain favorable for carbon assimilation and tree growth, resulting in a …