This paper describes a computationally fast and accurate technique for the atmospheric
correction of satellite measurements in the solar spectrum. The main advantage of the method is …

New remote sensing sensors will acquire High spectral, spatial and temporal Resolution
Satellite Image Time Series (HR-SITS). These new data are of great interest to map land cover …

Over lands, the cloud detection on remote sensing images is not an easy task, because of
the frequent difficulty to distinguish clouds from the underlying landscape, even at a high …

Crop area extent estimates and crop type maps provide crucial information for agricultural
monitoring and management. Remote sensing imagery in general and, more specifically, high …

Among many indirect approaches to retrieve effective leaf area index (LAI), hemispherical
photography is now widely used by the scientific community in forestry applications. A recent …

The convergence of new EO data flows, new methodological developments and cloud
computing infrastructure calls for a paradigm shift in operational agriculture monitoring. The …

TURC, a diagnostic model for the estimation of continental gross primary productivity (GPP)
and net primary productivity (NPP), is presented. This model uses a remotely sensed …

Satellite and airborne optical sensors are increasingly used by scientists, and policy makers,
and managers for studying and managing forests, agriculture crops, and urban areas. Their …

Long term flux measurements of different crop species are necessary to improve our
understanding of management and climate effects on carbon flux variability as well as cropland …

The recent availability of high spatial and temporal resolution (HSTR) remote sensing data (Formosat-2,
and future missions of Venμs and Sentinel-2) offers new opportunities for crop …