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An Updating System for the Gridded Population Database of China Based on Remote Sensing, GIS and Spatial Database Technologies
The spatial distribution of population is closely related to land use and land cover (LULC) patterns on both regional and global scales. Population can be redistributed onto geo-referenced square grids according to this relation. In the past decades, various approaches to monitoring LULC using remot...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3280851/ https://www.ncbi.nlm.nih.gov/pubmed/22399959 http://dx.doi.org/10.3390/s90201128 |
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author | Yang, Xiaohuan Huang, Yaohuan Dong, Pinliang Jiang, Dong Liu, Honghui |
author_facet | Yang, Xiaohuan Huang, Yaohuan Dong, Pinliang Jiang, Dong Liu, Honghui |
author_sort | Yang, Xiaohuan |
collection | PubMed |
description | The spatial distribution of population is closely related to land use and land cover (LULC) patterns on both regional and global scales. Population can be redistributed onto geo-referenced square grids according to this relation. In the past decades, various approaches to monitoring LULC using remote sensing and Geographic Information Systems (GIS) have been developed, which makes it possible for efficient updating of geo-referenced population data. A Spatial Population Updating System (SPUS) is developed for updating the gridded population database of China based on remote sensing, GIS and spatial database technologies, with a spatial resolution of 1 km by 1 km. The SPUS can process standard Moderate Resolution Imaging Spectroradiometer (MODIS L1B) data integrated with a Pattern Decomposition Method (PDM) and an LULC-Conversion Model to obtain patterns of land use and land cover, and provide input parameters for a Population Spatialization Model (PSM). The PSM embedded in SPUS is used for generating 1 km by 1 km gridded population data in each population distribution region based on natural and socio-economic variables. Validation results from finer township-level census data of Yishui County suggest that the gridded population database produced by the SPUS is reliable. |
format | Online Article Text |
id | pubmed-3280851 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-32808512012-03-07 An Updating System for the Gridded Population Database of China Based on Remote Sensing, GIS and Spatial Database Technologies Yang, Xiaohuan Huang, Yaohuan Dong, Pinliang Jiang, Dong Liu, Honghui Sensors (Basel) Article The spatial distribution of population is closely related to land use and land cover (LULC) patterns on both regional and global scales. Population can be redistributed onto geo-referenced square grids according to this relation. In the past decades, various approaches to monitoring LULC using remote sensing and Geographic Information Systems (GIS) have been developed, which makes it possible for efficient updating of geo-referenced population data. A Spatial Population Updating System (SPUS) is developed for updating the gridded population database of China based on remote sensing, GIS and spatial database technologies, with a spatial resolution of 1 km by 1 km. The SPUS can process standard Moderate Resolution Imaging Spectroradiometer (MODIS L1B) data integrated with a Pattern Decomposition Method (PDM) and an LULC-Conversion Model to obtain patterns of land use and land cover, and provide input parameters for a Population Spatialization Model (PSM). The PSM embedded in SPUS is used for generating 1 km by 1 km gridded population data in each population distribution region based on natural and socio-economic variables. Validation results from finer township-level census data of Yishui County suggest that the gridded population database produced by the SPUS is reliable. Molecular Diversity Preservation International (MDPI) 2009-02-20 /pmc/articles/PMC3280851/ /pubmed/22399959 http://dx.doi.org/10.3390/s90201128 Text en © 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Yang, Xiaohuan Huang, Yaohuan Dong, Pinliang Jiang, Dong Liu, Honghui An Updating System for the Gridded Population Database of China Based on Remote Sensing, GIS and Spatial Database Technologies |
title | An Updating System for the Gridded Population Database of China Based on Remote Sensing, GIS and Spatial Database Technologies |
title_full | An Updating System for the Gridded Population Database of China Based on Remote Sensing, GIS and Spatial Database Technologies |
title_fullStr | An Updating System for the Gridded Population Database of China Based on Remote Sensing, GIS and Spatial Database Technologies |
title_full_unstemmed | An Updating System for the Gridded Population Database of China Based on Remote Sensing, GIS and Spatial Database Technologies |
title_short | An Updating System for the Gridded Population Database of China Based on Remote Sensing, GIS and Spatial Database Technologies |
title_sort | updating system for the gridded population database of china based on remote sensing, gis and spatial database technologies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3280851/ https://www.ncbi.nlm.nih.gov/pubmed/22399959 http://dx.doi.org/10.3390/s90201128 |
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