For many years, spectral remote sensing has been essential for research on the Earth's
surface. The data from a single satellite sensor is sometimes insufficient to fulfil the …

Fine spatial resolution (ie,≤ 100 m) land surface temperature (LST) data are crucial to study
heterogeneous landscapes (eg, agricultural and urban). Some well-known spatiotemporal …

The digital twin concept has found widespread application across diverse industries. Herein,
we present a comprehensive conceptual framework for the cognitive soil digital twin, which …

The rapid advancements in satellite remote sensing have enhanced the capability to monitor
and analyze the Earth's surface. Among the many variables captured through satellite …

Rapid and accurate acquisition of soil organic matter (SOM) information in cultivated land is
important for sustainable agricultural development and carbon balance management. This …

Existing in situ global sediment monitoring limits our potential to answer regional and
continental scale sediment transport questions. Remote sensing of rivers has an established …

The tradeoff among spatial, temporal, and spectral resolution of remote sensing (RS) images
due to sensor properties limits the development of RS applications. Most image …

Continuous monitoring of crop health, especially plant EvapoTranspiration (ET) helps make
efficient irrigation decisions. While various infield and remote sensing technologies provide …

The spatial resolution (250–1000 m) of the FY-3D MERSI is too coarse for agricultural
monitoring at the farmland scale (20–30 m). To achieve the winter wheat yield (WWY) at the …

Images derived from an individual sensor fail to simultaneously satisfy the demands of high
spatial, spectral, and temporal resolutions. Multisource remote sensing image (RSI) fusion …