Satellite image time series (SITS) is a sequence of satellite images that record a given area
at several consecutive times. The aim of such sequences is to use not only spatial …

In this study, the use of Sentinel-1 interferometric coherence data as a tool for crop
monitoring has been explored. For this purpose, time series of images acquired by Sentinel …

Satellite remote sensing technologies have a high potential in applications for evaluating
land conditions and can facilitate optimized planning for agricultural sectors. However …

Abstract The European Union's Common Agricultural Policy (CAP) and the Habitats
Directive aim to improve biodiversity in agricultural landscapes. Both policies require …

The normalized difference vegetation index (NDVI) is a key parameter in precision
agriculture. It has been used globally since the 1970s as a proxy to monitor crop growth and …

The normalized difference vegetation index (NDVI) is a simple but powerful indicator, that
can be used to observe green live vegetation efficiently. Since its introduction in the 1970s …

Multispectral imagery provides unprecedented information on Earth system processes:
however, data gaps due to clouds and shadows are a major limitation. Normalized …

Vegetation activities and stresses are crucial for vegetation health assessment. Changes in
an environment such as drought do not always result in vegetation drought stress as …

Missing data is a recurrent problem in remote sensing, mainly due to cloud coverage for
multispectral images and acquisition problems. This can be a critical issue for crop …

The vegetation cover of forests and grasslands in mountain regions plays a crucial role in
regulating climate at both regional and global scales. Thus, it is necessary to develop …