Songchao Chen
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View article: A Novel Relationship between Corticotropin-Releasing Hormone Level and High-Altitude Hypoxia in Human and Rat Model
A Novel Relationship between Corticotropin-Releasing Hormone Level and High-Altitude Hypoxia in Human and Rat Model Open
Background: Acute mountain sickness (AMS) strikes people who travel too quickly to high altitude, outstripping their ability to acclimatize. Individual susceptibility to AMS remains unpredictable. The aim of study was to investigate the ne…
View article: A fused canopy height map of Italy (2004–2024) from spaceborne and airborne LiDAR, and Landsat via deep learning and Bayesian averaging
A fused canopy height map of Italy (2004–2024) from spaceborne and airborne LiDAR, and Landsat via deep learning and Bayesian averaging Open
Forests are vital for the carbon sequestration, biodiversity conservation, and climate regulation, making the precise and continuous monitoring of forest structure attributes such as canopy height essential. Here we present a two decades l…
View article: A national soil organic carbon density dataset (2010–2024) in China
A national soil organic carbon density dataset (2010–2024) in China Open
Soil organic carbon (SOC) is a vital component of terrestrial ecosystems and a key indicator of soil quality, agricultural potential, and climate regulation. Despite growing interest in SOC distribution across China, high-resolution and st…
View article: Integrating Historical Crop Rotation Changes Into Soil Organic Matter Mapping in the Cropland of Southeastern China
Integrating Historical Crop Rotation Changes Into Soil Organic Matter Mapping in the Cropland of Southeastern China Open
The prediction of cropland soil organic matter (SOM) is crucial for understanding ecosystem services such as food production and carbon sequestration. However, the influence of historical agricultural management practices on soil propertie…
View article: Machine Learning-Based Comparative Analysis on Direct and Indirect Mapping of Soil Texture Types Through Soil Particle Size Fractions Using Multi-Source Remote Sensing
Machine Learning-Based Comparative Analysis on Direct and Indirect Mapping of Soil Texture Types Through Soil Particle Size Fractions Using Multi-Source Remote Sensing Open
Soil texture, defined by the proportions of sand, silt, and clay particles in the soil, is one of the most essential physical properties of soil. High-resolution soil texture data can provide critical parameter support for soil hydrologica…
View article: Spatio-temporal dynamics and drivers of cropland ecosystem services value during the past two decades in Yangtze river economic belt, China
Spatio-temporal dynamics and drivers of cropland ecosystem services value during the past two decades in Yangtze river economic belt, China Open
Introduction Cropland ecosystem is one of the fundamental natural resources for human survival and development, serving not only as the core carrier of food production but also as an important provider of ecological services. Clarifying th…
View article: Unveiling the Effects of Crop Rotation on Cropland Soil pH Mapping: A Remote Sensing-Based Soil Sample Grouping Strategy
Unveiling the Effects of Crop Rotation on Cropland Soil pH Mapping: A Remote Sensing-Based Soil Sample Grouping Strategy Open
Crop rotation affects soil pH by disturbing H+ production and consumption within soil–crop systems, primarily through fertilization, irrigation, cropping, and harvest. Studies have shown that crop rotation improves soil organic matter pred…
View article: Improving the Accuracy of Soil Classification by Using Vis–NIR, MIR, and Their Spectra Fusion
Improving the Accuracy of Soil Classification by Using Vis–NIR, MIR, and Their Spectra Fusion Open
Soil spectroscopy offers a rapid, cost-effective alternative to traditional soil analyses for characterization and classification. Previous studies have mainly focused on predicting soil categories using single sensors, particularly visibl…
View article: Future Habitat Shifts and Economic Implications for <i>Ophiocordyceps sinensis</i> Under Climate Change
Future Habitat Shifts and Economic Implications for <i>Ophiocordyceps sinensis</i> Under Climate Change Open
Ophiocordyceps sinensis is a vital and unique traditional medicine native to the Tibetan Plateau (TP) and its adjacent regions. Its habitat has significantly diminished in recent years due to commercial harvesting and climate change. Altho…
View article: Mapping Soil Organic Carbon by Integrating Time-Series Sentinel-2 Data, Environmental Covariates and Multiple Ensemble Models
Mapping Soil Organic Carbon by Integrating Time-Series Sentinel-2 Data, Environmental Covariates and Multiple Ensemble Models Open
Despite extensive use of Sentinel-2 (S-2) data for mapping soil organic carbon (SOC), how to fully mine the potential of time-series S-2 data still remains unclear. To fill this gap, this study introduced an innovative approach for mining …
View article: A Novel Framework for Improving Soil Organic Carbon Mapping Accuracy by Mining Temporal Features of Time-Series Sentinel-1 Data
A Novel Framework for Improving Soil Organic Carbon Mapping Accuracy by Mining Temporal Features of Time-Series Sentinel-1 Data Open
Digital soil organic carbon (SOC) mapping is used for ecological protection and addressing global climate change. Sentinel-1 (S-1) microwave radar remote sensing data offer critical insights into SOC dynamics through tracking variations in…
View article: Comparison of Machine Learning and Geostatistical Methods on Mapping Soil Organic Carbon Density in Regional Croplands and Visualizing Its Location‐Specific Dominators via Interpretable Model
Comparison of Machine Learning and Geostatistical Methods on Mapping Soil Organic Carbon Density in Regional Croplands and Visualizing Its Location‐Specific Dominators via Interpretable Model Open
High‐precision soil organic carbon density (SOCD) map is significant for understanding ecosystem carbon cycles and estimating soil organic carbon storage. However, the current mapping methods are difficult to balance accuracy and interpret…
View article: Ensemble and transfer learning of soil inorganic carbon with visible near-infrared spectra
Ensemble and transfer learning of soil inorganic carbon with visible near-infrared spectra Open
Soil inorganic carbon (SIC) dominates the soil carbon pools in semi-arid and arid areas globally. Variations in the SIC pool would substantially affect the atmospheric CO2 concentrations. The rapid and accurate measurement of SIC content u…
View article: Including soil spatial neighbor information improves model performance in predictive soil mapping
Including soil spatial neighbor information improves model performance in predictive soil mapping Open
Digital soil mapping (DSM) is revolutionizing the understanding and management of soil resources by providing high-resolution spatial and temporal soil information essential for tackling environmental challenges. While integrating environm…
View article: Land cover changes induced spatio-temporal dynamics in soil organic carbon stock across Europe over the past decade (2009-2018)
Land cover changes induced spatio-temporal dynamics in soil organic carbon stock across Europe over the past decade (2009-2018) Open
Soil organic carbon (SOC) is a critical component of the global carbon cycle, serving as the largest terrestrial carbon reservoir and significantly influencing atmospheric greenhouse gas concentrations and climate dynamics. This study inve…
View article: Spatial Estimation of Soil Organic Matter and Total Nitrogen by Fusing Field Vis–NIR Spectroscopy and Multispectral Remote Sensing Data
Spatial Estimation of Soil Organic Matter and Total Nitrogen by Fusing Field Vis–NIR Spectroscopy and Multispectral Remote Sensing Data Open
Accurate and timely acquisition of soil information is crucial for precision agriculture, food security, and environmental protection. Proximal visible near-infrared reflectance (vis–NIR) spectroscopy has been widely employed for rapid and…
View article: High-Accuracy Mapping of Soil Organic Carbon by Mining Sentinel-1/2 Radar and Optical Time-Series Data with Super Ensemble Model
High-Accuracy Mapping of Soil Organic Carbon by Mining Sentinel-1/2 Radar and Optical Time-Series Data with Super Ensemble Model Open
Accurate digital soil organic carbon mapping is of great significance for regulating the global carbon cycle and addressing climate change. With the advent of the remote sensing big data era, multi-source and multi-temporal remote sensing …
View article: Digital mapping of soil salinity with time-windows features optimization and ensemble learning model
Digital mapping of soil salinity with time-windows features optimization and ensemble learning model Open
Soil salinization poses considerable global environmental and ecological risks. Remote-sensing time-series data enable more accurate monitoring and prediction of soil salinity levels, offering a refined approach to soil salinization assess…
View article: Including soil spatial neighbor information for digital soil mapping
Including soil spatial neighbor information for digital soil mapping Open
Digital soil mapping (DSM) is transforming how we understand and manage soil resources, offering high-resolution spatial–temporal soil information essential for addressing environmental challenges. The integration of environmental covariat…