Abstract The Normalized Difference Vegetation Index (NDVI), one of the earliest remote
sensing analytical products used to simplify the complexities of multi-spectral imagery, is …

Change detection captures the spatial changes from multi temporal satellite images due to
manmade or natural phenomenon. It is of great importance in remote sensing, monitoring …

Forecasted increase drought frequency and severity may drive worldwide declines in forest
productivity. Species‐level responses to a drier world are likely to be influenced by their …

Distinguishing the respective roles of climate change and anthropogenic activities can
provide crucial information for sustainable management of the environment. Here, using the …

Accurate prediction of crop yield is essential for agricultural trading, market risk management
and food security. Although various statistical models and machine learning models have …

The demand for large-scale and long-term information on tree growth is increasing rapidly
as environmental change research strives to quantify and forecast the impacts of continued …

Drought events are of great importance in most Mediterranean climate regions because of
the diverse and costly impacts they have in various economic sectors and on the …

Environmental factors that drive vegetation change in the Three River Headwater Region
(TRHR) on Qinghai-Tibetan Plateau are largely unknown. In particular, the response of …

Environmental conditions are very changeable; fluctuations in temperature, precipitation,
illumination intensity, and other factors can decrease a plant productivity and crop. The …

A major component of climate change is an increase in temperature and precipitation
variability. Over the last few decades, an increase in the frequency of extremely warm …