MONITORING POPULATION EVOLUTION IN THE PEARL RIVER DELTA FROM 2000 TO 2010
On behalf of more populous and developed regions in China, urban agglomerations have become important carries loading active economic activities and generous social benefits, and experienced sharper population increase, which results in great threat on local eco-environment construction. Therefore,...
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doaj-dff0c99393d74309a782ce4c86fdd36b2020-11-25T01:45:11ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342018-04-01XLII-32173217710.5194/isprs-archives-XLII-3-2173-2018MONITORING POPULATION EVOLUTION IN THE PEARL RIVER DELTA FROM 2000 TO 2010S. Yu0S. Yu1F. Liu2Z. Zhang3Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, ChinaUniversity of Chinese Academy of Sciences, Beijing 100049, ChinaInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, ChinaInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, ChinaOn behalf of more populous and developed regions in China, urban agglomerations have become important carries loading active economic activities and generous social benefits, and experienced sharper population increase, which results in great threat on local eco-environment construction. Therefore, exact and detailed population monitoring and analyzing, especially on the long sequence and multi frequency, is of great significance. The nighttime light time-series (NLT) products has been proven to be one of the most useful remotely sensed imagery to acquire persons at 1 km × 1 km scales. However, the existed problems, such as light saturation and blooming, greatly limit the accuracy of estimated results. Furthermore, it’s difficult to spatialize population at km<sup>2</sup> level due to the lack of basic data in non-census years. In order to solve all problems mentioned above, the populous Pearl River Delta was selected as the study area. A new residential extent extraction index (REEI) was proposed to solve light saturation and blooming problems. Population spatialization methods in census and non-census years were applied to acquire detailed population distribution from 2000 to 2010. Results showed the feasibility of the proposed methods in this work. During the decade, population was denser in the central PRD and sparser in the eastern, western and northern PRD. The speed of population increase was various in nine cities, but faster in 2000–2005 than 2005–2010.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3/2173/2018/isprs-archives-XLII-3-2173-2018.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
S. Yu S. Yu F. Liu Z. Zhang |
spellingShingle |
S. Yu S. Yu F. Liu Z. Zhang MONITORING POPULATION EVOLUTION IN THE PEARL RIVER DELTA FROM 2000 TO 2010 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
author_facet |
S. Yu S. Yu F. Liu Z. Zhang |
author_sort |
S. Yu |
title |
MONITORING POPULATION EVOLUTION IN THE PEARL RIVER DELTA FROM 2000 TO 2010 |
title_short |
MONITORING POPULATION EVOLUTION IN THE PEARL RIVER DELTA FROM 2000 TO 2010 |
title_full |
MONITORING POPULATION EVOLUTION IN THE PEARL RIVER DELTA FROM 2000 TO 2010 |
title_fullStr |
MONITORING POPULATION EVOLUTION IN THE PEARL RIVER DELTA FROM 2000 TO 2010 |
title_full_unstemmed |
MONITORING POPULATION EVOLUTION IN THE PEARL RIVER DELTA FROM 2000 TO 2010 |
title_sort |
monitoring population evolution in the pearl river delta from 2000 to 2010 |
publisher |
Copernicus Publications |
series |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
issn |
1682-1750 2194-9034 |
publishDate |
2018-04-01 |
description |
On behalf of more populous and developed regions in China, urban agglomerations have become important carries loading active economic activities and generous social benefits, and experienced sharper population increase, which results in great threat on local eco-environment construction. Therefore, exact and detailed population monitoring and analyzing, especially on the long sequence and multi frequency, is of great significance. The nighttime light time-series (NLT) products has been proven to be one of the most useful remotely sensed imagery to acquire persons at 1 km × 1 km scales. However, the existed problems, such as light saturation and blooming, greatly limit the accuracy of estimated results. Furthermore, it’s difficult to spatialize population at km<sup>2</sup> level due to the lack of basic data in non-census years. In order to solve all problems mentioned above, the populous Pearl River Delta was selected as the study area. A new residential extent extraction index (REEI) was proposed to solve light saturation and blooming problems. Population spatialization methods in census and non-census years were applied to acquire detailed population distribution from 2000 to 2010. Results showed the feasibility of the proposed methods in this work. During the decade, population was denser in the central PRD and sparser in the eastern, western and northern PRD. The speed of population increase was various in nine cities, but faster in 2000–2005 than 2005–2010. |
url |
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3/2173/2018/isprs-archives-XLII-3-2173-2018.pdf |
work_keys_str_mv |
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