Urban Growth and Rural Transition in China Based on DMSP/OLS Nighttime Light Data

Nighttime light (NTL) images provide uniform, consistent, and valuable data sources. Based on four reference regions, the NTL imagery of China was fully intercalibrated during the period 1992–2012. Using lit areas and the intensity of NTL imagery, this study synthetically analyzed the urbanization p...

Full description

Bibliographic Details
Main Author: Minghong Tan
Format: Article
Language:English
Published: MDPI AG 2015-07-01
Series:Sustainability
Subjects:
Online Access:http://www.mdpi.com/2071-1050/7/7/8768
id doaj-c577c2efe4e743c389455ce12f04a604
record_format Article
spelling doaj-c577c2efe4e743c389455ce12f04a6042020-11-24T23:04:33ZengMDPI AGSustainability2071-10502015-07-01778768878110.3390/su7078768su7078768Urban Growth and Rural Transition in China Based on DMSP/OLS Nighttime Light DataMinghong Tan0Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A Datun Road, Beijing 100101, ChinaNighttime light (NTL) images provide uniform, consistent, and valuable data sources. Based on four reference regions, the NTL imagery of China was fully intercalibrated during the period 1992–2012. Using lit areas and the intensity of NTL imagery, this study synthetically analyzed the urbanization process and rural transition in China. The results showed that, over the whole country, the pixel numbers of urban areas increased by 173% from 1992 to 2012. During the 2000s, urban areas expanded much more quickly than during the 1990s. Urban growth varied greatly across the four regions, which could be pictured using the flying-geese paradigm. In the 1990s, East China experienced the most rapid rate of growth, while a decade later Middle China had the highest growth rate. NTL imagery can also be used to describe changes in rural human activities if the imagery is corrected using completely dark rural pixels. In China, because of the massive rural-urban migration, some marginal regions experienced a decrease in nighttime light intensity (NTLI) and rural areas went through a period of transition.http://www.mdpi.com/2071-1050/7/7/8768Chinafull intercalibrationnighttime light imagerural transitionurban growth
collection DOAJ
language English
format Article
sources DOAJ
author Minghong Tan
spellingShingle Minghong Tan
Urban Growth and Rural Transition in China Based on DMSP/OLS Nighttime Light Data
Sustainability
China
full intercalibration
nighttime light image
rural transition
urban growth
author_facet Minghong Tan
author_sort Minghong Tan
title Urban Growth and Rural Transition in China Based on DMSP/OLS Nighttime Light Data
title_short Urban Growth and Rural Transition in China Based on DMSP/OLS Nighttime Light Data
title_full Urban Growth and Rural Transition in China Based on DMSP/OLS Nighttime Light Data
title_fullStr Urban Growth and Rural Transition in China Based on DMSP/OLS Nighttime Light Data
title_full_unstemmed Urban Growth and Rural Transition in China Based on DMSP/OLS Nighttime Light Data
title_sort urban growth and rural transition in china based on dmsp/ols nighttime light data
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2015-07-01
description Nighttime light (NTL) images provide uniform, consistent, and valuable data sources. Based on four reference regions, the NTL imagery of China was fully intercalibrated during the period 1992–2012. Using lit areas and the intensity of NTL imagery, this study synthetically analyzed the urbanization process and rural transition in China. The results showed that, over the whole country, the pixel numbers of urban areas increased by 173% from 1992 to 2012. During the 2000s, urban areas expanded much more quickly than during the 1990s. Urban growth varied greatly across the four regions, which could be pictured using the flying-geese paradigm. In the 1990s, East China experienced the most rapid rate of growth, while a decade later Middle China had the highest growth rate. NTL imagery can also be used to describe changes in rural human activities if the imagery is corrected using completely dark rural pixels. In China, because of the massive rural-urban migration, some marginal regions experienced a decrease in nighttime light intensity (NTLI) and rural areas went through a period of transition.
topic China
full intercalibration
nighttime light image
rural transition
urban growth
url http://www.mdpi.com/2071-1050/7/7/8768
work_keys_str_mv AT minghongtan urbangrowthandruraltransitioninchinabasedondmspolsnighttimelightdata
_version_ 1725629713121017856