About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Context-Aware Systems and Applications, and Nature of Computation and Communication. 9th EAI International Conference, ICCASA 2020, and 6th EAI International Conference, ICTCC 2020, Thai Nguyen, Vietnam, November 26–27, 2020, Proceedings

Research Article

Estimating Land Surface Temperature from Landsat-8 Images Based on a Cloud-Based Automated Processing Service

Download(Requires a free EAI acccount)
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-030-67101-3_5,
        author={Phan Hien Vu and Tan-Long Le and Cuong Pham-Quoc},
        title={Estimating Land Surface Temperature from Landsat-8 Images Based on a Cloud-Based Automated Processing Service},
        proceedings={Context-Aware Systems and Applications, and Nature of Computation and Communication. 9th EAI International Conference, ICCASA 2020, and 6th EAI International Conference, ICTCC 2020, Thai Nguyen, Vietnam, November 26--27, 2020, Proceedings},
        proceedings_a={ICCASA \& ICTCC},
        year={2021},
        month={1},
        keywords={Lansat LST Cloud-based service HCMC},
        doi={10.1007/978-3-030-67101-3_5}
    }
    
  • Phan Hien Vu
    Tan-Long Le
    Cuong Pham-Quoc
    Year: 2021
    Estimating Land Surface Temperature from Landsat-8 Images Based on a Cloud-Based Automated Processing Service
    ICCASA & ICTCC
    Springer
    DOI: 10.1007/978-3-030-67101-3_5
Phan Hien Vu, Tan-Long Le, Cuong Pham-Quoc,*
    *Contact email: cuongpham@hcmut.edu.vn

    Abstract

    As the biggest city in Vietnam, Ho Chi Minh City (HCMC) usually suffers from a number of environmental issues such as traffic jam, subsidence and inundation, river and air pollution, high temperature, etc. Therefore, a hazard maps system helps the city government and population understand well environmental risks. The main data sources for such system is a combination of in-situ measurements in ground and remotely sensed images from space. Popular satellite data products available and free of charge are used to environmental monitoring, consisting of Sentinel, Landsat, and Terra/Aqua MODIS. In this paper, we focus on estimating land surface temperature (LST) from Landsat-8 images based on a cloud-based automated processing service. The LST image is computed from red, near-infrared and thermal infrared bands. The service can be integrated as a part of a hazard map system when its data are collected from different sources.

    Keywords
    Lansat LST Cloud-based service HCMC
    Published
    2021-01-13
    Appears in
    SpringerLink
    http://dx.doi.org/10.1007/978-3-030-67101-3_5
    Copyright © 2020–2025 ICST
    EBSCOProQuestDBLPDOAJPortico
    EAI Logo

    About EAI

    • Who We Are
    • Leadership
    • Research Areas
    • Partners
    • Media Center

    Community

    • Membership
    • Conference
    • Recognition
    • Sponsor Us

    Publish with EAI

    • Publishing
    • Journals
    • Proceedings
    • Books
    • EUDL