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 …

The remote sensing (RS) technique is less cost-and labour-intensive than ground-based
surveys for diverse applications in agriculture. Machine learning (ML), a branch of artificial …

This study reviews the abundant research on FAO56 crop coefficients, published following
introduction of the FAO56 paper in 1998. The primary goal was to evaluate, update, and …

Many research papers on crop water requirements of vegetables have been produced since
the publication of the FAO56 guidelines in 1998. A review of this literature has shown that …

In this article, we investigated the detection of forest vegetation changes during the period of
2017 to 2019 in the Low Tatras National Park (Slovakia) and the Sumava National Park …

A three-year study was conducted to assess the ability of satellite-based vegetation index
(VI) images to track evapotranspiration over wheat. While the ability of using VIs, notably …

In cotton, an optimal balance between vegetative and reproductive growth will lead to high
yields and water-use efficiency. Remote sensing estimations of vegetation variables such as …

Multispectral imaging using Unmanned Aerial Vehicles (UAVs) has changed the pace of
precision agriculture. Actual evapotranspiration (ETa) from the very high spatial resolution of …

Public domain synthetic-aperture radar (SAR) imagery, particularly from Sentinel-1, has
widened the scope of day and night vegetation monitoring, even when cloud cover limits …

This paper systematically reviews the potential of the Sentinel-2 (A and B) in assessing
drought. Research findings, including the IPCC reports, highlighted the increasing trend in …