Global changes in climate and land use are threatening natural ecosystems, biodiversity,
and the ecosystem services people rely on. This is why it is necessary to track and monitor …

Leaf area index (LAI) is a terrestrial essential climate variable that is required in a variety of
ecosystem and climate models. The Global LAnd Surface Satellite (GLASS) LAI product has …

For many applications, raw satellite observations need to be converted to high-level
products of various essential environmental variables. While numerous products are …

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 …

The unprecedented availability of optical satellite data in cloud-based computing platforms,
such as Google Earth Engine (GEE), opens new possibilities to develop crop trait retrieval …

Leaf area index (LAI) is an important variable for characterizing vegetation structure.
Contemporary satellite-based LAI products with moderate spatial resolution, such as those …

Precision agriculture management with remote sensing big data provides a promising
solution to monitor crops. Alfalfa is an important forage crop for various livestock around the …

Remote sensing estimation of evapotranspiration (ET) directly quantifies plant water
consumption and provides essential information for irrigation scheduling, which is a …

Understanding the impacts and extent of both climate change and human activities on
ecosystems is crucial to sustainable development. With low anti-interference ability, arid and …

The leaf area index (LAI) is an important parameter indicating the crop growth status. Many
vegetation indices and models have been developed to estimate LAI of different crops …