Farmers and ranchers depend on annual forage production for grassland livestock
enterprises. Many regression and machine learning (ML) prediction models have been …

The timely and accurate quantification of grassland biomass is a prerequisite for sustainable
grazing management. With advances in artificial intelligence, the launch of new satellites …

Actual evapotranspiration (ET a) can be estimated using optical remote sensing and
meteorological data. Herein we calibrated and applied the CMRSET (CSIRO MODIS …

The uncertainty from the under-estimation and over-estimation of forest aboveground
biomass (AGB) is an urgent problem in optical remote sensing estimation. In order to more …

Above-ground biomass (AGB) is an important component for identifying carbon stocks,
monitoring the impacts of climate change, and evaluating merchantable timber. Accurate …

Time series data provided by the Sentinel-2 and Landsat satellite missions offer manifold
opportunities for grassland monitoring. The high intra-annual observation density of Sentinel …

Brazilian livestock is predominantly extensive, with approximately 90% of the production
being sustained on pasture, which occupies around 20% of the territory. It is estimated that …

Soil organic carbon (SOC) can influence atmospheric CO 2 concentration and then the
extent to which the climate emergency is mitigated globally. It follows the elucidation of the …

Accurate assessment of aboveground biomass (AGB) in tropical forests, particularly within a
biodiversity hotspot, is vital for sustainable resource management and the preservation of …

Waterlogging affects millions of hectares traditionally used for food production every year.
Despite this, existing literature and process-based frameworks enabling simulation of …