Remote Sensing in Agriculture

Cropland expansion across tropical Africa produces nighttime cooling but hydroclimatically-dependent daytime effects, driven by turbulent heat flux changes tied to vegetation differences.

Global eddy covariance tower network analysis reveals spatial clustering and systematic bias toward fertile soils, potentially limiting representativeness of ecosystem-atmosphere interaction studies.

Foundation models outperform conventional satellite methods for tree species classification in mountain forests, achieving high accuracy with minimal training data but requiring nonlinear classifiers.

New index based on precipitation and evapotranspiration ratio reveals land relative humidity decreased substantially since 1973, reconciles climate model discrepancies, and improves hydroclimate.

2023 Amazon drought reduced vegetation carbon uptake, turning the region into a weak carbon source independent of fire emissions, revealing climate vulnerability.

Pantropical moist forests show converging leaf longevity under climate change, with long-longevity regions declining and short-longevity regions increasing.

Gridded aboveground net primary productivity dataset for global grasslands from 1958-2100, combining historical observations with future climate projections for carbon and land management research.

Study reveals accelerated north-east shift in global green wave trajectory, indicating restructured vegetation phenology and hemispheric productivity changes through 21st century.