Abstract Long Short-Term Memory (LSTM) has recently emerged as a crucial tool for
scientific research in hydrology and water resources. Despite its widespread use, a …

This review focuses on digital soil organic carbon (SOC) map** at regional or national
scales in spatial resolutions up to 1 km using open data remote sensing sources …

Map** of soil organic matter (SOM) in cultivated land is one of the important aspects of
digital soil map**, and its results are of great significance for agricultural precision …

To address the problem of excessive computation in the remote sensing scene classification
(RSSC) algorithms, this paper proposes an efficient RSSC model, which is named …

Synthesizing bare soil pictures in regions with complex vegetation is challenging, which
hinders the accuracy of predicting soil organic carbon (SOC) in specific areas. An SOC …

Climate change and human activities have significantly impacted the long-term growth of
vegetation, thereby altering the ecosystem's response mechanisms. The Yellow River Water …

Generating accurate spatial information on soil organic matter (SOM) is increasingly
important in the context of global environmental change. Both prediction models and …

For most of the arable land in Russia (132–137 million ha), the dominant and accurate soil
information is stored in the form of map archives on paper without coordinate reference. The …

Soil organic carbon (SOC) plays a major role in the global carbon cycle and is an important
factor for soil health and fertility. Accurate map** of SOC and other influencing parameters …

Sandy soils are susceptible to excessive nitrogen (N) leaching under intensive crop
production which is linked with the soil's low nutrient holding capacity and high-water …