34   Artículos

 
en línea
Zhongyu Yang, Zirui Yu, Xiaoyun Wang, Wugeng Yan, Shijie Sun, Meichen Feng, Jingjing Sun, Pengyan Su, Xinkai Sun, Zhigang Wang, Chenbo Yang, Chao Wang, Yu Zhao, Lujie Xiao, Xiaoyan Song, Meijun Zhang and Wude Yang    
Aboveground biomass (AGB) is a key parameter reflecting crop growth which plays a vital role in agricultural management and ecosystem assessment. Real-time and non-destructive biomass monitoring is essential for accurate field management and crop yield p... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Xinya Lei, Yuewei Wang, Wei Han and Weijing Song    
Coastal cities are increasingly vulnerable to urban storm surge hazards and the secondary hazards they cause (e.g., coastal flooding). Accurate representation of the spatio-temporal process of hazard event development is essential for effective emergency... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Chunguang Bi, Shuo Zhang, He Chen, Xinhua Bi, Jinjing Liu, Hao Xie, Helong Yu, Shaozhong Song and Lei Shi    
Ensuring the security of germplasm resources is of great significance for the sustainable development of agriculture and ecological balance. By combining the morphological characteristics of maize seeds with hyperspectral data, maize variety classificati... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Yijiang Zhao, Xiao Tang, Zhuhua Liao, Yizhi Liu, Min Liu and Jian Lin    
Building type prediction is a critical task for urban planning and population estimation. The growing availability of multi-source data presents rich semantic information for building type prediction. However, existing residential building prediction met... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Bingbing Zhao, Xiaoyong Tan, Liang Luo, Min Deng and Xuexi Yang    
The inefficient use of urban resources and the imbalance of spatial structures make optimizing land use management a top priority in urban environmental management. Traditional land use classification systems that prioritize only natural features while d... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Xuefeng Guan, Jingbo Li, Changlan Yang and Weiran Xing    
Driving analysis of urban expansion (DAUE) is usually implemented to identify the driving factors and their corresponding driving effects/mechanisms for the expansion processes of urban land, aiming to provide scientific guidance for urban planning and m... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Wenwen Li, Sizhe Wang, Xiao Chen, Yuanyuan Tian, Zhining Gu, Anna Lopez-Carr, Andrew Schroeder, Kitty Currier, Mark Schildhauer and Rui Zhu    
The past decade has witnessed an increasing frequency and intensity of disasters, from extreme weather, drought, and wildfires to hurricanes, floods, and wars. Providing timely disaster response and humanitarian aid to these events is a critical topic fo... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Jing Zhao, Ning Liu, Junhui Li, Xi Guo, Hongtao Deng and Jinshan Sun    
The road transportation of explosives is highly concerning due to its substantial impact on social safety. For the safety management of explosive transportation, e.g., transport route planning and emergency rescue, explosion consequence evaluation is of ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Rito Clifford Maswanganyi, Chungling Tu, Pius Adewale Owolawi and Shengzhi Du    
Transfer learning (TL) has been proven to be one of the most significant techniques for cross-subject classification in electroencephalogram (EEG)-based brain-computer interfaces (BCI). Hence, it is widely used to address the challenges of cross-session ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Fengyun Xie, Linglan Wang, Haiyan Zhu and Sanmao Xie    
Rolling bearings are the core component of rotating machinery. In order to solve the problem that the distribution of collected rolling bearing data is inconsistent during the operation of bearings under complex working conditions, which results in poor ... ver más
Revista: Applied Sciences    Formato: Electrónico

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