Hai Lan
Orcid: 0000-0002-4119-4388Affiliations:
- George Mason University, NSF Spatiotemporal Innovation Center, Fairfax, USA
- University of Maryland, Department of Geographical Sciences, College Park, MD, USA (PhD 2020)
- New York University, Department of Computer Science and Engineering, Brooklyn, NY, USA
According to our database1,
Hai Lan
authored at least 12 papers
between 2018 and 2022.
Collaborative distances:
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Bibliography
2022
Data Gap Filling Using Cloud-Based Distributed Markov Chain Cellular Automata Framework for Land Use and Land Cover Change Analysis: Inner Mongolia as a Case Study.
Remote. Sens., 2022
ISPRS Int. J. Geo Inf., 2022
Challenges and opportunities of the spatiotemporal responses to the global pandemic of COVID-19.
Ann. GIS, 2022
2021
Spatiotemporal Analysis of Sea Ice Leads in the Arctic Ocean Retrieved from IceBridge Laxon Line Data 2012-2018.
Remote. Sens., 2021
COVID-Scraper: An Open-Source Toolset for Automatically Scraping and Processing Global Multi-Scale Spatiotemporal COVID-19 Records.
IEEE Access, 2021
2020
PhD thesis, 2020
Modeling urban growth by coupling localized spatio-temporal association analysis and binary logistic regression.
Comput. Environ. Urban Syst., 2020
Spatiotemporal Patterns of COVID-19 Impact on Human Activities and Environment in Mainland China Using Nighttime Light and Air Quality Data.
Remote. Sens., 2020
Int. J. Digit. Earth, 2020
A State-Level Socioeconomic Data Collection of the United States for COVID-19 Research.
Data, 2020
2018
Spark Sensing: A Cloud Computing Framework to Unfold Processing Efficiencies for Large and Multiscale Remotely Sensed Data, with Examples on Landsat 8 and MODIS Data.
J. Sensors, 2018