Guoqing Li

National assessment reveals widespread wind farm impacts on land surface temperature and vegetation in China

Ziyan Li, Yan Li, Yingzuo Qin, Laibao Liu et autres

• The 675 wind farms in China exhibited an overall LST effect of nighttime warming and daytime cooling. • The vegetation decreased by wind farm construction and recovered over time. • The LST and vegetation impacts of wind farms depended on land …

cn, hk, gb, us (code pays fourni par la source)

Assessing field-scale salt leaching during saline soil remediation with electrical resistivity tomography and electromagnetic induction methods

Yanhui You, Wei Fu, Haixia Liu, Guoqing Li et autres

During the remediation of saline wasteland, it is crucial to rapidly and accurately characterize the spatial distribution and temporal dynamics of soil salinity for evaluating the efficacy of leaching measures and guiding management strategies. In this study, electrical resistivity tomography (ERT) and …

cn (code pays fourni par la source)

An Integration Framework of Remote Sensing and Social Media for Dynamic Post-Earthquake Impact Assessment

Zhi‐Gang Ren, Tengfei Yang, Guoqing Li, HU Sheng-wu et autres

Effective post-disaster management requires continuous and reliable monitoring of the evolving disaster situation. While remote sensing provides objective measurements of ground deformation, social media data offer dynamic insights into public perception and disaster progression. However, integrating these complementary data sources to achieve …

cn (code pays fourni par la source)

Mamba for Remote Sensing: Architectures, Hybrid Paradigms, and Future Directions

Zefeng Li, Long Zhao, Yihang Lu, Yue Ma et autres

Modern Earth observation combines high spatial resolution, wide swath, and dense temporal sampling, producing image grids and sequences far beyond the regime of standard vision benchmarks. Convolutional networks remain strong baselines but struggle to aggregate kilometre-scale context and long temporal dependencies without …

cn (code pays fourni par la source)

A noise-robust structural health monitoring framework using modified MFCC and deep autoencoders with Bhattacharyya distance

Guoqing Li, Shuai Luo, Hao Wei, Dehai Song

This study proposes a novel structural damage detection method that integrates Mel-frequency cepstral coefficients (MFCCs) and deep autoencoder (DAE) networks to enhance robustness against measurement noise and uncertainties. MFCCs are extracted from power spectrum ratios derived from vibration signals to serve as …

cn (code pays fourni par la source)

Relationship between daytime napping duration and pan-cancer risk: a prospective cohort study based on the China Health and Retirement Longitudinal Study (CHARLS)

Guoqing Li, Tianyu Gan, Yiqin Zhou, Hui Zhou et autres

BACKGROUND: In recent years, cancer has become a hot topic in the field of health management, and its etiology may be related to a variety of factors. Current research suggests that daytime napping duration is associated with variety of diseases, but few …

cn (code pays fourni par la source)

Warm-dry climate narrowed the difference between vegetation greenness and photosynthetic phenology periods in the Yellow River Basin, China

Yan Liu, Jialin Bi, Xiaoyu Cai, Liping Wang et autres

cn (code pays fourni par la source)

OFNet: Integrating Deep Optical Flow and Bi-Domain Attention for Enhanced Change Detection

Quan Zou, Guoqing Li, Wenyang Yu, Yong Yang et autres

Change detection technology holds significant importance in disciplines such as urban planning, land utilization tracking, and hazard evaluation, as it can efficiently and accurately reveal dynamic regional change processes, providing crucial support for scientific decision-making and refined management. Although deep learning methods …

cn (code pays fourni par la source)

A Systematic Review on UAV Remote Sensing Multimodal Data Fusion Strategies with Deep Learning Architectures

Xu Zhou, Aiai Ren, Guoqing Li, Jing Li et autres

Multimodal data fusion in Unmanned Aerial Vehicle (UAV) remote sensing (RS) has transformed many scientific research and industrial application domains, like environmental monitoring, precision agriculture, and urban planning, by integrating sensor data’s modalities such as RGB, Light Detection and Ranging (LiDAR), Synthetic …

au, cn (code pays fourni par la source)

Landslide Segmentation in High-Resolution Remote Sensing Images: The Van–UPerAttnSeg Framework with Multi-Scale Feature Enhancement

Chang Li, Quan Zou, Guoqing Li, Wenyang Yu

Among geological disasters, landslides are a common and extremely destructive disaster. Their rapid identification is crucial for disaster analysis and response. However, traditional methods of landslide recognition mainly rely on visual interpretation and manual recognition of remote sensing images, which are time-consuming …

cn (code pays fourni par la source)

A Novel Earth-System Spatial Grid Model: ISEA4H-ESSG for Multi-Layer Geoscience Data Integration and Analysis

Yue Ma, Guoqing Li, Long Zhao, Xiaochuang Yao

This paper presents a novel Earth-System Stratified Grid (ISEA4H-ESSG) model, designed to address the challenges in multi-layer geoscience data management and analysis. In the realm of geosciences, which encompasses the solid earth, atmosphere, hydrosphere, and biosphere, as well as planetary and space …

cn (code pays fourni par la source)

Nanonitrator: Novel nano-composite formulation of inorganic nitrate enhancing body protective effects

Wen Pan, Geng Hu, Shaorong Li, Guoqing Li et autres

cn (code pays fourni par la source)