• DocumentCode
    84312
  • Title

    Scaling up to National/Regional Urban Extent Mapping Using Landsat Data

  • Author

    Trianni, Giovanna ; Lisini, Gianni ; Angiuli, Emanuele ; Moreno, E.A. ; Dondi, Piercarlo ; Gaggia, Alessandro ; Gamba, Paolo

  • Author_Institution
    Dipt. di Ing. Ind. e dell´Inf., Univ. di Pavia, Pavia, Italy
  • Volume
    8
  • Issue
    7
  • fYear
    2015
  • fDate
    Jul-15
  • Firstpage
    3710
  • Lastpage
    3719
  • Abstract
    This paper describes a methodology to extract a consistent human settlement extent layer using Landsat data and its implementation in the Google Earth Engine platform. The approach allows the extraction of human settlement extents by means of the existing Landsat 5 and 7 data sets, allowing to check their evolution at 30-m spatial resolution. Since human settlements are the main proxy to people geographical distribution and to building locations, this layer may serve as a mean to disaggregate people/building counts at the regional/national level. The approach is tested in several parts of the world against existing ground truth data at the same spatial resolution in Brazil and China, as well as against extents manually extracted from VHR data in three different geographical areas: 1) Brazil; 2) South East China; and 3) Indonesia.
  • Keywords
    land use; remote sensing; Brazil; China; Google Earth Engine platform; Landsat 5 data set; Landsat 7 data set; VHR data; geographical distribution; human settlement extraction; national level; national urban extent mapping; regional level; regional urban extent mapping; Clouds; Earth; Remote sensing; Satellites; Spatial resolution; Training; Vectors; Global mapping; Landsat; normalized difference spectral vector (NDSV); urban remote sensing;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1939-1404
  • Type

    jour

  • DOI
    10.1109/JSTARS.2015.2398032
  • Filename
    7052336