1.3k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN27 papers
- Tsinghua UniversityCN8 papers
- Lancaster UniversityGB7 papers
- University of SouthamptonGB7 papers
- Laboratoire des Sciences du Climat et de l'EnvironnementFR6 papers
- UK Centre for Ecology & HydrologyGB6 papers
- University of California, IrvineUS6 papers
- University of Chinese Academy of SciencesCN6 papers
- Wuhan UniversityCN6 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR4 papers
- State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingCN4 papers
29 papers
GRAND-HC: Graph-Refined Author Name Disambiguation
Yuanhao Sun, Zhouyang Jin, Yi Xu +5
From-Scratch Name Disambiguation (SND) groups papers sharing an ambiguous name into clusters of distinct real-world authors. Existing methods suffer from two critical limitations:…
Unaligned RGB Guided Hyperspectral Image Super-Resolution with Spatial-Spectral Concordance
Yingkai Zhang, Zeqiang Lai, Tao Zhang +2
Hyperspectral images super-resolution aims to improve the spatial resolution, yet its performance is often limited at high-resolution ratios. The recent adoption of high-resolution…
DRUM: Diffusion-based runoff model for probabilistic flood forecasting
Zhigang Ou, Congyi Nai, Baoxiang Pan +7
Extreme floods pose escalating risks in a changing climate, yet forecasting remains challenging due to peak flow underestimation and high uncertainty. We introduce DRUM, a diffusio…
Intercity connectivity and urban innovation
Xiaofan Liang, César A. Hidalgo, Pierre-Alexandre Balland +2
Urban outputs, from economy to innovation, are known to grow as a power of a city's population. But, since large cities tend to be central in transportation and communication netwo…
Research on the Spatial Data Intelligent Foundation Model
Shaohua Wang, Xing Xie, Yong Li +28
This report focuses on spatial data intelligent large models, delving into the principles, methods, and cutting-edge applications of these models. It provides an in-depth discussio…
Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs
Tianyu Zhang, Chengbin Hou, Rui Jiang +4
Node Importance Estimation (NIE) is a task of inferring importance scores of the nodes in a graph. Due to the availability of richer data and knowledge, recent research interests o…
Conflating point of interest (POI) data: A systematic review of matching methods
Kai Sun, Yingjie Hu, Yue Ma +2
Point of interest (POI) data provide digital representations of places in the real world, and have been increasingly used to understand human-place interactions, support urban mana…
To better understand realized ecosystem services: An integrated analysis framework of supply, demand, flow and use
Shuyao Wu, Kai-Di Liu, Wentao Zhang +3
Realized ecosystem services (ES) are the actual use of ES by societies, which is more directly linked to human well-being than potential ES. However, there is a lack of a general a…
Statistics for Spatially Stratified Heterogeneous Data
Jinfeng Wang, Robert Haining, Tonglin Zhang +2
Spatial statistics is dominated by spatial autocorrelation (SAC) based Kriging and BHM, and spatial local heterogeneity based hotspots and geographical regression methods, appraise…
Near-real-time global gridded daily CO emissions 2021
Xinyu Dou, Jinpyo Hong, Philippe Ciais +22
We present a near-real-time global gridded daily CO emissions dataset (GRACED) throughout 2021. GRACED provides gridded CO emissions at a 0.1degree*0.1degree spatial resolu…
Near-real-time estimates of daily CO2 emissions from 1500 cities worldwide
Da Huo, Xiaoting Huang, Xinyu Dou +19
Building on near-real-time and spatially explicit estimates of daily carbon dioxide (CO2) emissions, here we present and analyze a new city-level dataset of fossil fuel and cement…
UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery
Libo Wang, Rui Li, Ce Zhang +4
Semantic segmentation of remotely sensed urban scene images is required in a wide range of practical applications, such as land cover mapping, urban change detection, environmental…
Measuring daily-life fear perception change: a computational study in the context of COVID-19
Yuchen Chai, Juan Palacios, Jianghao Wang +2
COVID-19, as a global health crisis, has triggered the fear emotion with unprecedented intensity. Besides the fear of getting infected, the outbreak of COVID-19 also created signif…
Global Gridded Daily CO Emissions
Xinyu Dou, Yilong Wang, Philippe Ciais +15
Precise and high-resolution carbon dioxide (CO) emission data is of great importance of achieving the carbon neutrality around the world. Here we present for the first time the…
Exploring the Disproportion Between Scientific Productivity and Knowledge Amount
Luoyi Fu, Huquan Kang, Jianghao Wang +3
The pursuit of knowledge is the permanent goal of human beings. Scientific literature, as the major medium that carries knowledge between scientists, exhibits explosive growth duri…
Global Daily CO emissions for the year 2020
Zhu Liu, Zhu Deng, Philippe Ciais +25
The diurnal cycle CO emissions from fossil fuel combustion and cement production reflect seasonality, weather conditions, working days, and more recently the impact of the COVI…
ABCNet: Attentive Bilateral Contextual Network for Efficient Semantic Segmentation of Fine-Resolution Remote Sensing Images
Rui Li, Chenxi Duan
Semantic segmentation of remotely sensed images plays a crucial role in precision agriculture, environmental protection, and economic assessment. In recent years, substantial fine-…
A2-FPN for Semantic Segmentation of Fine-Resolution Remotely Sensed Images
Rui Li, Shunyi Zheng, Ce Zhang +2
Semantic segmentation using fine-resolution remotely sensed images plays a critical role in many practical applications, such as urban planning, environmental protection, natural a…
An Unsupervised Learning Method with Convolutional Auto-Encoder for Vessel Trajectory Similarity Computation
Maohan Liang, Ryan Wen Liu, Shichen Li +3
To achieve reliable mining results for massive vessel trajectories, one of the most important challenges is how to efficiently compute the similarities between different vessel tra…
Aligning geographic entities from historical maps for building knowledge graphs
Kai Sun, Yingjie Hu, Jia Song +1
Historical maps contain rich geographic information about the past of a region. They are sometimes the only source of information before the availability of digital maps. Despite t…
Seasonal association between viral causes of hospitalised acute lower respiratory infections and meteorological factors in China: a retrospective study
Bing Xu, Jinfeng Wang, Zhongjie Li +7
Acute lower respiratory infections caused by respiratory viruses are common and persistent infectious diseases worldwide and in China, which have pronounced seasonal patterns. Mete…
Robust Unsupervised Small Area Change Detection from SAR Imagery Using Deep Learning
Xinzheng Zhang, Hang Su, Ce Zhang +3
Small area change detection from synthetic aperture radar (SAR) is a highly challenging task. In this paper, a robust unsupervised approach is proposed for small area change detect…
Multi-Attention-Network for Semantic Segmentation of Fine Resolution Remote Sensing Images
Rui Li, Shunyi Zheng, Chenxi Duan +3
Semantic segmentation of remote sensing images plays an important role in a wide range of applications including land resource management, biosphere monitoring and urban planning.…
Multiscale Dynamic Human Mobility Flow Dataset in the U.S. during the COVID-19 Epidemic
Yuhao Kang, Song Gao, Yunlei Liang +3
Understanding dynamic human mobility changes and spatial interaction patterns at different geographic scales is crucial for assessing the impacts of non-pharmaceutical intervention…