Data assimilation plays a dual role in advancing the “scientific” understanding and serving
as an “engineering tool” for the Earth system sciences. Land data assimilation (LDA) has …

The task of quantifying spatial and temporal variations in terrestrial water, energy, and
vegetation conditions is challenging due to the significant complexity and heterogeneity of …

Net ecosystem productivity (NEP) is an important indicator for estimating regional carbon
sources/sinks. The study focuses on a comprehensive computational simulation and …

Meteorological drought, especially when influenced by human activities, significantly
impacts agriculture. We assessed the Yangtze River Basin (YRB)'s crop ecosystem …

The enormous increase in the volume of Earth Observations (EOs) has provided the
scientific community with unprecedented temporal, spatial, and spectral information …

Rates of tree mortality are increasing globally, with implications for forests and climate. Yet,
how and why these trends vary globally remain unknown. Develo** a comprehensive …

Today, the most popular approaches in agricultural forecasting leverage process-based
crop models, crop monitoring data, and/or remote sensing imagery. Individually, each of …

Field research for exploring the impact of winter cover crops (WCCs) integration into
crop** systems is resource intensive, time-consuming and offers limited application …

In the Amazon, the dry season of 2023 as well as the beginning of the wet season in 2024
were marked by unprecedented high temperatures and large precipitation de cits. While the …

Rates of tree mortality are increasing globally, with implications for forests and climate. Yet,
how and why these trends vary globally remain unknown. Develo** a comprehensive …