《国际数字地球学报》(International Journal of Digital Earth)是国际数字地球学会依托中国科学院空天信息创新研究院主办的学术刊物。《学报》于2008年3月创刊,目前已被12个大型国际期刊检索机构收录。2020年影响因子为3.097,在全球50个地理类期刊中名列第17位,在30个遥感类期刊中排名第14位。在2019 Scopus CiteScore 引用分数榜中,《学报》在地球与行星科学类187个期刊中排名第11位。
《学报》以传播数字地球理念为宗旨,致力于数字地球学术交流,促进数字地球技术发展,推动数字地球在经济和社会可持续发展中的应用,并将在全球气候变化、自然灾害防治与响应、新能源探测、农业与食品安全和城市规划管理等方面发挥重要作用。该刊得到国内外科学界同行的广泛认可与高度肯定,成为同领域的主流学术期刊。
Multiplex network reconstruction for the coupled spatial diffusion of infodemic and pandemic of COVID-19Xiaoqi Zhang, Zi-Ke Zhang, Wenbo Wang, Donglin Hou, Jiajing Xu, Xinyue Ye & Shengwen Li
Pages: 401-423
Published online: 23 Feb 2021
The pandemic of COVID-19 witnessed a massive infodemic with the public being bombarded with vast quantities of information. The spreading of neutral and highly accurate reports can guide the public to self-protect and reduce the pandemic. Mis- and dis-information would intrigue panic and high exposure risk to epidemic. Although the infodemic has attracted attentions from the academia, it is still not known to what degree and in which direction the information flows contribute to the COVID-19 pandemic. To fill the gap, we apply network reconstruction techniques to rebuild the hidden multiplex network of information and COVID-19 spreading by which we aim at quantifying the interaction between the propagation of information and the spatial outbreak of COVID-19, and delineate between the positive and negative impact of information on the pandemic. By differentiating the types of media that participated in the information process, we find that in the early stage of COVID-19 pandemic, infodemic does play a critical role to amplify the risk of virus outbreak in China and the risk is even larger for those highly developed regions. Compared to the old-fashion media, the new mobile platforms impose a greater risk to reinforce the positive feedback between infodemic and COVID-19 pandemic. https://doi.org/10.1080/17538947.2021.1888326
The characteristics of multi-source mobility datasets and how they reveal the luxury nature of social distancing in the U.S. during the COVID-19 pandemicXiao Huang, Zhenlong Li, Yuqin Jiang, Xinyue Ye, Chengbin Deng, Jiajia Zhang & Xiaoming LiPublished online: 17 Feb 2021This study reveals the human mobility from various sources and the luxury nature of social distancing in the U.S during the COVID-19 pandemic by highlighting the disparities in mobility dynamics from lower-income and upper-income counties. We collect, process, and compute mobility data from four different sources. We further design a Responsive Index (RI) based on the time series of mobility change percentages to quantify the general degree of mobility-based responsiveness to COVID-19 at the U.S. county level. We find statistically significant positive correlations in the RI between either two data sources, revealing their general similarity, albeit with varying Pearson’s r coefficients. Despite the similarity, however, mobility from each source presents unique and even contrasting characteristics, in part demonstrating the multifaceted nature of human mobility. The results suggest that counties with higher income tend to react more aggressively in terms of reducing more mobility in response to the COVID-19 pandemic. Most states present a positive difference in RIbetween their upper-income and lower-income counties, where diverging patterns in time series of mobility changes percentages can be found. The findings shed light on not only the characteristics of multi-source mobility data but also the mobility patterns in tandem with the economic disparity. https://doi.org/10.1080/17538947.2021.1886358
Integrated monitoring of lakes’ turbidity in Wuhan, China during the COVID-19 epidemic using multi-sensor satellite observationsXianghan Sun, Jianqiang Liu, Jianru Wang, Liqiao Tian, Qu Zhou & Jian Li
Published online: 31 Dec 2020During the COVID-19 epidemic in Wuhan, China, a series of measures were implemented by the government to prevent the spread of disease, including the lockdown policy and construction of emergency hospitals. To estimate the impact of these measures on aquatic environments, turbidity of lakes in Wuhan was dynamically monitored by integrating multi-sensor satellite observations. Calibrated against field measurements, empirical turbidity models were developed with high accuracy (R2 = 0.77, RMSE = 3.13 NTU). Time series of lake turbidity during COVID-19 were then retrieved, and possible factors for the turbidity change were discussed, including meteorological conditions and human activities. Results demonstrated that (1) the mean turbidity showed a 24.9% decline from 33.4 NTU to 25.1 NTU after the lockdown in Wuhan, which dropped 16.0% compared to that in the previous year. This decline might be related to the sharp reduction in human activities after the lockdown; (2) no obvious turbidity disturbance was observed in the lakes around emergency hospitals during their construction, and the lakes remained stable after the operation of hospitals. The method of integrating multi-sensor satellite observations used in this study shows great performance in term of temporal resolution for dynamic monitoring of inland water.
https://doi.org/10.1080/17538947.2020.1868584
The geometry of mesoscale eddies in the South China Sea: characteristics and implicationsGuiyan Han, Fenglin Tian, Chunyong Ma & Ge ChenPages: 464-479
Published online: 04 Jan 2021The symmetrical circular shape of mesoscale eddies has been widely used in their scientific researches. Recently, an elliptical average eddy shape has been confirmed for eddies in the global ocean using multi-satellite altimeter data. As a regional extension of a previous study on the geometry of global eddies, a mean eddy shape in the South China Sea (SCS) has been derived by averaging a large number of orientational eddy boundaries. The mean shape is approximately a mathematic ellipse with a semimajor axis of 101.3 km and a semiminor axis of 61.3 km. Its size is larger than the global one. The principal eddy orientation in the SCS is 74°/254° (nearly northeast-southwest), different from that of eddies in the global ocean (171°/351°, nearly east–west). Composite analyses of chlorophyll (CHL) concentrations and sea surface temperature anomalies (SSTA) indicate a dipole structure for circular eddies in the non-rotated coordinate system. While a monopole structure for elliptical eddies in the eddy-centric coordinate system is obtained. The results demonstrate that the elliptical shape of eddies affects oceanographical variables. The findings provide a new approach for exploring the role of air–sea interactions on oceanic eddies.https://doi.org/10.1080/17538947.2020.1842523
A data fusion-based framework to integrate multi-source VGI in an authoritative land use databaseLanfa Liu, Ana-Maria Olteanu-Raimond, Laurence Jolivet, Arnaud-le Bris & Linda SeePublished online: 05 Nov 2020Updating an authoritative Land Use and Land Cover (LULC) database requires many resources. Volunteered geographic information (VGI) involves citizens in the collection of data about their spatial environment. There is a growing interest in using existing VGI to update authoritative databases. This paper presents a framework aimed at integrating multi-source VGI based on a data fusion technique, in order to update an authoritative land use database. Each VGI data source is considered to be an independent source of information, which is fused together using Dempster-Shafer Theory (DST). The framework is tested in the updating of the authoritative land use data produced by the French National Mapping Agency. Four data sets were collected from several in-situ and remote campaigns run between 2018 and 2020 by contributors with varying profiles. The data fusion approach achieved an overall accuracy of 85.6% for the 144 features having at least two contributions when the confidence threshold was set to 0.05. Despite the heterogeneity and limited amount of VGI used, the results are promising, with 99% of the LU polygons updated or enriched. These results show the potential of using multi-source VGI to update or enrich authoritative LU data and potentially LULC data more generally.
https://doi.org/10.1080/17538947.2020.1842524
Versioned geoscientific workflow for the collaborative geo-simulation of human-nature interactions – a case study of global change and human activitiesYuting Chen, Hui Lin, Ling Xiao, Qi Jing, Lan You, Yulin Ding, Mingyuan Hu & Adam Thomas Devlin
Pages: 510-539
Published online: 26 Nov 2020
Global change refers to changes in the relationship between humans and nature. It is desirable to actively integrate human social activities into the unified framework of global change so that their mutual relations and functional mechanisms can be understood. This complicated issue necessitates an appropriate method allowing domain experts to collaboratively contribute their knowledge to geoscientific research. Also, an efficient approach to optimize experimentation is of great importance. The reproducibility of research methods and results needs to be improved to boost the sharing of geographic knowledge and resources. This paper proposes a versioned geoscientific workflow and characterizes its full lifecycle using Virtual Geographic Environments, intending to facilitate and improve research related to the interactions between global change and human activities. The geoscientific workflow management is realized using the concept of version management, making geographic simulation methods and computational results easily reproducible and extendable. The sharing and reuse of geographic knowledge in various forms are archived through version management of geoscientific workflows. A versatile prototype system is implemented which enables the visual modeling of geoscientific workflows, the interactive optimization and collaborative evaluation of geoscientific workflows at runtime, the multi-dimensional dynamic visualization of geo-workflow outputs, and role-based access control for data security.
https://doi.org/10.1080/17538947.2020.1849439
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