Agriculture provides humanity with food, fibers, fuel, and raw materials that are paramount
for human livelihood. Today, this role must be satisfied within a context of environmental …

Leaf area index (LAI) is a critical vegetation structural variable and is essential in the
feedback of vegetation to the climate system. The advancement of the global Earth …

Many time-series smoothing methods can be used for reducing noise and extracting plant
phenological parameters from remotely-sensed data, but there is still no conclusive …

Abstract The applications of Normalized Difference Vegetation Index (NDVI) time-series data
are inevitably hampered by cloud-induced gaps and noise. Although numerous …

Remote sensing optical sensors onboard operational satellites cannot have high spectral,
spatial and temporal resolutions simultaneously. In addition, clouds and aerosols can …

Dense time series of optical satellite imagery describing vegetation activity provide essential
information for the efficient and regular monitoring of vegetation. Nevertheless, the temporal …

Continuous, consistent, and long time-series from remote sensing are essential to
monitoring changes on Earth's surface. However, analyzing such data sets is often …

A variety of approaches are available to fill the gaps in the time series of vegetation
parameters estimated from satellite observations. In this paper, a scheme considering …

Long-term vegetation time series (TS) forecasting based on climatic data is one of the most
challenging topics, capable of assisting in advanced estimation and management for …

Drought is one of the most complex natural hazards because of its slow onset and long-term
impact; it has the potential to negatively affect many people. There are several advantages …