Abstract Machine learning (ML) has proven to be a powerful tool for utilizing the rapidly
increasing amounts of remote sensing data for environmental monitoring. Yet ML models …

Leaf area index (LAI) is a critical vegetation structural variable and is essential in the
feedback of vegetation to the climate system. The advancement of the global Earth …

The global population is expected to reach 9.8 billion by 2050. There is an exponential
growth of food production to meet the needs of the growing population. However, the limited …

With a growing number of Earth observation (EO) products available through operational
programmes such as the European Union's Copernicus, there is increasing emphasis on …

Leaf area index (LAI) is a key variable for characterizing crop growth conditions and
estimating crop productivity. Despite continuing efforts to develop LAI estimation algorithms …

Leaf area index (LAI) with an explicit biophysical meaning is a critical variable to
characterize terrestrial ecosystems. Long-term global datasets of LAI have served as …

Abstract The Sentinel-2 Level 2 Prototype Processor (SL2P) is made available to users for
the retrieval of vegetation biophysical variables including leaf area index (LAI) from …

Over the last decade, a series of global moderate resolution leaf area index (LAI) products
have become available and been widely applied in many disciplines. At the same time …

Canopy clum** index (CI) characterizes the spatial distribution of leaves or needles within
a vegetation canopy. CI is critical in determining the canopy radiation transfer …

This paper provides a review and summary status of the research underway by the NASA
Terra Aqua Suomi-NPP Land Discipline Team to provide continuity of global land data …