In the global context of population growth and climate change, monitoring crops is
necessary to sustain agriculture and conserve natural resources. While many studies have …

Monitoring the above ground biomass (AGB) in winter oilseed rape is important for
improving the agronomic management efficiency and predicting yield to ensure edible oil …

Agricultural vegetation development and harvest date monitoring over large areas requires
frequent remote sensing observations. In regions with persistent cloud coverage during the …

In agriculture, crop biomass is a vital indicator of the overall health of an ecosystem. Recent
developments in synthetic aperture radar (SAR) technologies have promoted the application …

The yield forecasting of corn constitutes a key issue in agricultural management, particularly
in the context of demographic pressure and climate change. This study presents two …

The time series of synthetic aperture radar (SAR) data are commonly and successfully used
to monitor the biophysical parameters of agricultural fields. Because, until now, mainly …

The aim of this study was to explore the differences in the accuracy of winter wheat
identification using remote sensing data at different growth stages using the same methods …

In recent years, the use of remotely sensed and on-ground observations of crop fields, in
conjunction with machine learning techniques, has led to highly accurate crop yield …

This work aims to estimate soil moisture and vegetation height from Global Navigation
Satellite System (GNSS) Signal to Noise Ratio (SNR) data using direct and reflected signals …

Identifying the rapeseed (Brassica napus L.) flowering dates are important for planting area
estimation, growth monitoring, and yield estimation. However, there is currently a lack of …