Search Results - "Sha, Dexuan"
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Spatiotemporal Patterns of COVID-19 Impact on Human Activities and Environment in Mainland China Using Nighttime Light and Air Quality Data
Published in Remote sensing (Basel, Switzerland) (01-05-2020)“…The sudden outbreak of the COVID-19 pandemic has brought drastic changes to people’s daily lives, work, and the surrounding environment. Investigations into…”
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Multi-Layers Feature Fusion of Convolutional Neural Network for Scene Classification of Remote Sensing
Published in IEEE access (2019)“…Remote sensing scene classification is still a challenging task in remote sensing applications. How to effectively extract features from a dataset with limited…”
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The Impact of Policy Measures on Human Mobility, COVID-19 Cases, and Mortality in the US: A Spatiotemporal Perspective
Published in International journal of environmental research and public health (23-01-2021)“…Social distancing policies have been regarded as effective in containing the rapid spread of COVID-19. However, there is a limited understanding of policy…”
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Unsupervised Adversarial Domain Adaptation with Error-Correcting Boundaries and Feature Adaption Metric for Remote-Sensing Scene Classification
Published in Remote sensing (Basel, Switzerland) (01-04-2021)“…Unsupervised domain adaptation (UDA) based on adversarial learning for remote-sensing scene classification has become a research hotspot because of the need to…”
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Spatiotemporal analysis of medical resource deficiencies in the U.S. under COVID-19 pandemic
Published in PloS one (14-10-2020)“…Coronavirus disease 2019 (COVID-19) was first identified in December 2019 in Wuhan, China as an infectious disease, and has quickly resulted in an ongoing…”
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Taking the pulse of COVID-19: a spatiotemporal perspective
Published in International journal of digital earth (02-10-2020)“…The sudden outbreak of the Coronavirus disease (COVID-19) swept across the world in early 2020, triggering the lockdowns of several billion people across many…”
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The Roles of Sea Ice Export, Atmospheric and Oceanic Factors in the Seasonal and Regional Variability of Arctic Sea Ice during 1979–2020
Published in Remote sensing (Basel, Switzerland) (01-02-2022)“…The seasonal and regional variability of Arctic sea ice area (SIA) and thickness (SIT) were investigated between 1979 and 2020 for the Atlantic sector (AS),…”
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Individual-Level Fatality Prediction of COVID-19 Patients Using AI Methods
Published in Frontiers in public health (30-09-2020)“…The global covid-19 pandemic puts great pressure on medical resources worldwide and leads healthcare professionals to question which individuals are in…”
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Big Earth data analytics: a survey
Published in Big earth data (03-04-2019)“…Big Earth data are produced from satellite observations, Internet-of-Things, model simulations, and other sources. The data embed unprecedented insights and…”
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An Open-Source Workflow for Spatiotemporal Studies with COVID-19 as an Example
Published in ISPRS international journal of geo-information (01-01-2022)“…Many previous studies have shown that open-source technologies help democratize information and foster collaborations to enable addressing global physical and…”
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PreciPatch: A Dictionary-based Precipitation Downscaling Method
Published in Remote sensing (Basel, Switzerland) (01-03-2020)“…Climate and weather data such as precipitation derived from Global Climate Models (GCMs) and satellite observations are essential for the global and local…”
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Spatiotemporal Analysis of Sea Ice Leads in the Arctic Ocean Retrieved from IceBridge Laxon Line Data 2012–2018
Published in Remote sensing (Basel, Switzerland) (01-10-2021)“…The ocean and atmosphere exert stresses on sea ice that create elongated cracks and leads which dominate the vertical exchange of energy, especially in cold…”
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Spatiotemporal Patterns and Driving Factors on Crime Changing During Black Lives Matter Protests
Published in ISPRS international journal of geo-information (27-10-2020)“…The death of George Floyd has brought a new wave of 2020 Black Lives Matter (BLM) protests into U.S. cities. Protests happened in a few cities accompanied by…”
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COVID-Scraper: An Open-Source Toolset for Automatically Scraping and Processing Global Multi-Scale Spatiotemporal COVID-19 Records
Published in IEEE access (01-01-2021)“…In 2019, COVID-19 quickly spread across the world, infecting billions of people and disrupting the normal lives of citizens in every country. Governments,…”
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An Environmental Data Collection for COVID-19 Pandemic Research
Published in Data (Basel) (01-09-2020)“…The COVID-19 viral disease surfaced at the end of 2019 and quickly spread across the globe. To rapidly respond to this pandemic and offer data support for…”
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A spatiotemporal data collection of viral cases for COVID-19 rapid response
Published in Big earth data (01-01-2021)“…Under the global health crisis of COVID-19, timely, and accurate epidemic data are important for observation, monitoring, analyzing, modeling, predicting, and…”
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Public Opinions on COVID-19 Vaccines—A Spatiotemporal Perspective on Races and Topics Using a Bayesian-Based Method
Published in Vaccines (Basel) (01-09-2022)“…The COVID-19 pandemic has been sweeping across the United States of America since early 2020. The whole world was waiting for vaccination to end this pandemic…”
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The spatial dynamics of Ukraine air quality impacted by the war and pandemic
Published in International journal of digital earth (2023)“…In recent years, our world has experienced significant disruptions due to the COVID-19 pandemic, and Russia's 2022 invasion of Ukraine, impacting human…”
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A State-Level Socioeconomic Data Collection of the United States for COVID-19 Research
Published in Data (Basel) (01-12-2020)“…The outbreak of COVID-19 from late 2019 not only threatens the health and lives of humankind but impacts public policies, economic activities, and human…”
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An On-Demand Service for Managing and Analyzing Arctic Sea Ice High Spatial Resolution Imagery
Published in Data (Basel) (01-04-2020)“…Sea ice acts as both an indicator and an amplifier of climate change. High spatial resolution (HSR) imagery is an important data source in Arctic sea ice…”
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