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
Link To Document :
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