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Demarcation of Prime Farmland Protection Areas around a Metropolis Based on High-Resolution Satellite Imagery
Prime farmland (PF) is defined as high-quality farmland and a prime farmland protection area (PFPA, including related roads, waters and facilities) is a region designated for the special protection of PF. However, rapid urbanization in China has led to a tremendous farmland loss and to the degradati...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5175287/ https://www.ncbi.nlm.nih.gov/pubmed/28000668 http://dx.doi.org/10.1038/srep37634 |
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author | Xia, Nan Wang, YaJun Xu, Hao Sun, YueFan Yuan, Yi Cheng, Liang Jiang, PengHui Li, ManChun |
author_facet | Xia, Nan Wang, YaJun Xu, Hao Sun, YueFan Yuan, Yi Cheng, Liang Jiang, PengHui Li, ManChun |
author_sort | Xia, Nan |
collection | PubMed |
description | Prime farmland (PF) is defined as high-quality farmland and a prime farmland protection area (PFPA, including related roads, waters and facilities) is a region designated for the special protection of PF. However, rapid urbanization in China has led to a tremendous farmland loss and to the degradation of farmland quality. Based on remote sensing and geographic information system technology, this study developed a semiautomatic procedure for designating PFPAs using high-resolution satellite imagery (HRSI), which involved object-based image analysis, farmland composite evaluation, and spatial analysis. It was found that the HRSIs can provide elaborate land-use information, and the PFPA demarcation showed strong correlation with the farmland area and patch distance. For the benefit of spatial planning and management, different demarcation rules should be applied for suburban and exurban areas around a metropolis. Finally, the overall accuracy of HRSI classification was about 80% for the study area, and high-quality farmlands from evaluation results were selected as PFs. About 95% of the PFs were demarcated within the PFPAs. The results of this study will be useful for PFPA planning and the methods outlined could help in the automatic designation of PFPAs from the perspective of the spatial science. |
format | Online Article Text |
id | pubmed-5175287 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-51752872016-12-29 Demarcation of Prime Farmland Protection Areas around a Metropolis Based on High-Resolution Satellite Imagery Xia, Nan Wang, YaJun Xu, Hao Sun, YueFan Yuan, Yi Cheng, Liang Jiang, PengHui Li, ManChun Sci Rep Article Prime farmland (PF) is defined as high-quality farmland and a prime farmland protection area (PFPA, including related roads, waters and facilities) is a region designated for the special protection of PF. However, rapid urbanization in China has led to a tremendous farmland loss and to the degradation of farmland quality. Based on remote sensing and geographic information system technology, this study developed a semiautomatic procedure for designating PFPAs using high-resolution satellite imagery (HRSI), which involved object-based image analysis, farmland composite evaluation, and spatial analysis. It was found that the HRSIs can provide elaborate land-use information, and the PFPA demarcation showed strong correlation with the farmland area and patch distance. For the benefit of spatial planning and management, different demarcation rules should be applied for suburban and exurban areas around a metropolis. Finally, the overall accuracy of HRSI classification was about 80% for the study area, and high-quality farmlands from evaluation results were selected as PFs. About 95% of the PFs were demarcated within the PFPAs. The results of this study will be useful for PFPA planning and the methods outlined could help in the automatic designation of PFPAs from the perspective of the spatial science. Nature Publishing Group 2016-12-21 /pmc/articles/PMC5175287/ /pubmed/28000668 http://dx.doi.org/10.1038/srep37634 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Xia, Nan Wang, YaJun Xu, Hao Sun, YueFan Yuan, Yi Cheng, Liang Jiang, PengHui Li, ManChun Demarcation of Prime Farmland Protection Areas around a Metropolis Based on High-Resolution Satellite Imagery |
title | Demarcation of Prime Farmland Protection Areas around a Metropolis Based on High-Resolution Satellite Imagery |
title_full | Demarcation of Prime Farmland Protection Areas around a Metropolis Based on High-Resolution Satellite Imagery |
title_fullStr | Demarcation of Prime Farmland Protection Areas around a Metropolis Based on High-Resolution Satellite Imagery |
title_full_unstemmed | Demarcation of Prime Farmland Protection Areas around a Metropolis Based on High-Resolution Satellite Imagery |
title_short | Demarcation of Prime Farmland Protection Areas around a Metropolis Based on High-Resolution Satellite Imagery |
title_sort | demarcation of prime farmland protection areas around a metropolis based on high-resolution satellite imagery |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5175287/ https://www.ncbi.nlm.nih.gov/pubmed/28000668 http://dx.doi.org/10.1038/srep37634 |
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