• DocumentCode
    143079
  • Title

    Human settlements from Landsat data using Google Earth Engine

  • Author

    Trianni, G. ; Angiuli, E. ; Lisini, G. ; Gamba, P.

  • Author_Institution
    Dipt. di Ing. Ind. e dell´Inf., Univ. di Pavia, Pavia, Italy
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    1473
  • Lastpage
    1476
  • 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 the human extents by means of the existing Landsat 5 and 7 data sets, allowing a multitemporal analysis of the evolution of human settlements at 30 m spatial resolution. Since human settlements are the main proxy to people geographical distribution, this layer may serve as a mean to disaggregate people counts in multiple time instants, with a consistent accuracy along more than 20 years. The approach is tested against available global data sets and existing ground truth data at the same spatial resolution, as well as with extents manually extracted from VHR data for large urban areas in Brazil.
  • Keywords
    geographic information systems; geophysics computing; remote sensing; Brazil; Google Earth Engine; Landsat 5 data set; Landsat 7 data set; Landsat data; human geographical distribution; human settlement evolution; human settlement extent layer; human settlements; large urban areas; multitemporal analysis; spatial resolution; Data mining; Earth; Indexes; Remote sensing; Satellites; Spatial resolution; Urban areas; Landsat; NDSV; global mapping; urban remote sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6946715
  • Filename
    6946715