Paper Info
Title
Human settlements from Landsat data using Google Earth Engine
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.
Year
DOI
Venue
2014
10.1109/IGARSS.2014.6946715
Geoscience and Remote Sensing Symposium
Keywords
Field
DocType
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,Landsat,NDSV,global mapping,urban remote sensing
Data set,Computer science,Remote sensing,Ground truth,Human settlement,Image resolution
Conference
ISSN
Citations 
PageRank 
2153-6996
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Giovanna Trianni19010.92
Emanuele Angiuli272.82
Gianni Lisini320721.99
Paolo Gamba468292.97