The use of satellites to monitor crops and support their management is gathering increasing
attention. The improved temporal, spatial, and spectral resolution of the European Space …

Remote sensing with unmanned aerial vehicles (UAVs) is a game-changer in precision
agriculture. It offers unprecedented spectral, spatial, and temporal resolution, but can also …

Drought is a common hydrometeorological phenomenon and a pervasive global hazard. As
our climate changes, it is likely that drought events will become more intense and frequent …

In previous classification studies, three non-parametric classifiers, Random Forest (RF), k-
Nearest Neighbor (kNN), and Support Vector Machine (SVM), were reported as the foremost …

Timely and accurate estimation of crop yield before harvest to allow crop yields
management decision-making at a regional scale is crucial for national food policy and …

Remote sensing of plant phenology as an indicator of climate change and for map** land
cover has received significant scientific interest in the past two decades. The advancing of …

The Sentinel-2 satellite mission delivers multi-spectral imagery with 13 spectral bands,
acquired at three different spatial resolutions. The aim of this research is to super-resolve the …

Accurate prediction of crop yield at the field scale is critical to addressing crop production
challenges and reducing the impacts of climate variability and change. Recently released …

Over the past ten years, plant phenoty** technologies that utilize sensing and data mining
approaches to estimate crop traits in a high-throughput and objective manner, have been …

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 …