In this work we propose an approach for mapping flooded areas from Sentinel-2 MSI
(Multispectral Instrument) data based on soft fuzzy integration of evidence scores derived …

An accurate, frequently updated, automatic and reproducible mapping procedure to identify
seasonal cultivated crops is a prerequisite for many crop monitoring activities. Deep learning …

Gridded satellite-based rainfall products have not been so far evaluated for flood hazards
monitoring through empirical methods, especially over large areas. Therefore, the main aims …

Rapid and accurate monitoring of irrigation dynamics in paddy fields (the start, end, duration
and irrigation peak, etc.) at field scales is crucial to the fine management of agricultural water …

Leaf area index (LAI) is a key biophysical variable fundamental in natural vegetation and
agricultural land monitoring and modelling studies. This paper is aimed at comparing …

We review, analyse, and discuss the recent evolution and the future sustainability of rice
paddy fields in Italy—the largest European producer—using outcomes from available …

In this study we used the PhenoRice algorithm to track recent variations of rice cultivation
practices along the Senegal River Valley. Time series of MODIS imagery with 250 m spatial …

Colonial waterbirds, a major biodiversity element occurring in the core of ultra-anthropized
Europe, are ideal indicators of the wellness of inland wetlands. Nonetheless, there is a …

Evapotranspiration (ET) is an important component of the hydrological cycle. Understanding
the ET process has become of fundamental importance given the scenario of global change …

Hyperspectral imaging has become a valuable remote sensing tool due to the development
of advanced remote acquisition systems with high spatial and spectral resolution, and the …