Results 151 to 160 of about 48,254,805 (247)

Estimation Accuracy Obviously Increased of Soil Organic Carbon Content Based on Habitat Patches Scale Using Interpretable Machine Learning in Southwest China

Land Degradation &Development, EarlyView.
ABSTRACT Although machine learning models have been successfully applied to estimate soil organic carbon (SOC), the lack of interpretability research has resulted in the absence of mechanistic explanations for these models. Therefore, in this study, we adopted the following workflow: first, we divided the whole study area into several subregions using ...
Wei Zhou, Jieyun Xiao, Haotian Liu, Lu Xu, Keming Wang   +4 more
wiley   +1 more source

Digital public services and subjective well-being in rural China: health and multidomain lifestyle pathways in the cross-provincial Dabie Mountains region. [PDF]

Front Public Health
Jiang L, Ma Y, Yang Z, Li H.
europepmc   +1 more source

Future Soil Erosion Under Combined CMIP6 Climate Projections and Land Use/Land Cover Change: A RUSLE‐Based Assessment of the Kampe Omi Dam Basin in Nigeria

Land Degradation &Development, EarlyView.
ABSTRACT Soil erosion remains a major environmental challenge in Nigeria, driven by the combined effects of climate variability and land use/land cover (LULC) changes. Understanding future dynamics is essential for effective soil conservation planning.
Titus Adeyemi Alonge, Amos T. Kabo‐Bah, Lily Lisa Yevugah, Abdul‐Karim Iddrisu   +3 more
wiley   +1 more source

A Multi-Source Remote-Sensing-Assisted Method for GNSS Station Site Selection in Underground Coal-Mining Subsidence Areas. [PDF]

Sensors (Basel)
He Y, Yu X, Su H, Xie Z, Su Q, Sun L, Feng P, Lin Z, Su R.   +8 more
europepmc   +1 more source

Topographic and Climatic Determinants of Soil Organic Carbon Across Landscapes: A Meta‐Analysis

Land Degradation &Development, EarlyView.
ABSTRACT The soil is the greatest natural store of organic carbon, holding between 1500 to 1550 Pg C of organic carbon at the top 100 cm of the soil globally—roughly twice the carbon pool in the atmosphere. The spatial distribution of this stock is controlled by a complex chain of controls: topographic position regulates the hydrological redistribution,
Vishal Sharma, Syed Hujjat ul Baligah, Tajamul Islam Shah, Shahid Shuja Shafai, Owais Bashir, Syed Sheraz Madhi, S. Naresh Kumar, Ayyandar Arunachalam, Shabir Ahmed Bangroo   +8 more
wiley   +1 more source

A Spatiotemporal Uncertainty-Aware Task Planning Framework for Cooperative Vehicle-UAV Remote Sensing Monitoring and Verification in Complex Terrain. [PDF]

Sensors (Basel)
Xu H, Hu L, Lu Z, Huang X, Wang Y, Chen X.   +5 more
europepmc   +1 more source

Revealing Dust Source Changes in East Asia From Past to Future: An Interpretable Deep Learning Approach

Land Degradation &Development, EarlyView.
ABSTRACT Aeolian dust source areas are controlled by climate and human activities and are closely associated with land degradation, yet their long‐term evolution under global warming remains insufficiently quantified. An integrated framework that couples a U‐Net segmentation model with Shapley Additive Explanations (SHAP) was built to map and attribute
Yanyu Li, Qizhong Wu, Xueshun Chen, Jiang Yue, Jieying He, Huaqiong Cheng   +5 more
wiley   +1 more source

Variation in Soil Organic Carbon Along an Altitudinal Gradient Across Different Aspects in the Timberline Zone of the Western Himalaya, India. [PDF]

Plants (Basel)
Rawal R, Sharma A, Mishra G, Barman T, Chaturvedi RK, Tewari LM.   +5 more
europepmc   +1 more source

Spatial Patterns, Driving Forces, and Potential Grain Losses of Non‐Grain Production of Farmland in Central Yunnan Urban Agglomeration, China

Land Degradation &Development, EarlyView.
ABSTRACT The expansion of farmland non‐grain production (NGP) poses a potential threat to food security and agricultural land protection, particularly in mountainous urban agglomerations. However, the utilization patterns, driving mechanisms, and associated production‐loss effects of farmland NGP in this specific regional context remain insufficiently ...
Xiaoliang Ma, Chun Li, Shanshan Chen, Yiting Wang, Zhiqiang Lin, Liding Chen   +5 more
wiley   +1 more source

Navigation and Sensor Fusion for Autonomous Field Robots in Precision Agriculture: Narrative Review. [PDF]

Sensors (Basel)
Boros N, Ambrus B, Nyéki A.
europepmc   +1 more source