DMSP/OLS night-time light imagery for urban population estimates in the Brazilian Amazon

被引:154
作者
Amaral, S
Monteiro, AMV
Camara, G
Quintanilha, JA
机构
[1] Inst Nacl Pesquisas Espaciais, DPI, BR-12201 Sao Jose Dos Campos, SP, Brazil
[2] Univ Sao Paulo, Escola Politecn, POLI, BR-05508900 Sao Paulo, Brazil
关键词
D O I
10.1080/01431160500181861
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
This article analyses DMSP/OLS night-time imagery as an information source to detect human settlements and to estimate the urban population in the Amazon region. DMSP/OLS single orbits were used to generate a DMSP stable light mosaic for 2002, in which most of the urban settlements with a population higher than 5000 inhabitants were precisely identified. DMSP/OLS night-time mosaic images from 1995, 1999 and 2002 were integrated with the IBGE census data and the correlation between DMSP/OLS night-time light area and the urban population was compared. Coefficients of determination higher than 0.8 were obtained from the linear regression between DMSP/OLS night-time lights and urban population census data. Although the fieldwork showed that DMSP image data could only record urbanized settlements with more than 2.5 km(2) of well-lit surface areas, the initial and Final extension of the night-time light foci were actually precisely registered. Therefore, this paper identifies the potential of DMSP night-time light images for estimating urban population as well as the technical limitations of using such images as a means to monitor urban population dynamics annually in a region where data are scarce and the demographic dynamics are unique, as in the Brazilian Amazon.
引用
收藏
页码:855 / 870
页数:16
相关论文
共 47 条
  • [1] AMARAL S, 2003, THESIS U SAO PAULO
  • [2] Amaral Silvana., 2005, Computers, Environment and Urban Systems, V29, P179, DOI [DOI 10.1016/J.COMPENVURBSYS.2003.09.004, 10.1016/j.compenvurbsys.2003.09.004]
  • [3] [Anonymous], PEOPLE PIXELS LINKIN
  • [4] [Anonymous], 1998, PEOPLE PIXELS
  • [5] [Anonymous], 2001, LUCC REPORT SERIES
  • [6] [Anonymous], CENS DEM 2000
  • [7] A remote sensing/GIS-based physical template to understand the biogeochemistry of the Ji-Parana river basin (Western Amazonia)
    Ballester, MVR
    Victoria, DD
    Krusche, AV
    Coburn, R
    Victoria, RL
    Richey, JE
    Logsdon, MG
    Mayorga, E
    Matricardi, E
    [J]. REMOTE SENSING OF ENVIRONMENT, 2003, 87 (04) : 429 - 445
  • [8] BECKER BK, 1995, MAN BIOSPH, V15, P53
  • [9] BECKER BK, 1998, ESPECFICIDADE URBANO
  • [10] BECKER BK, 2001, REV POLITICAS OCUPAC