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Analysis of regional economic development based on land use and land cover change information derived from Landsat imagery

The monitoring of economic activities is of great significance for understanding regional economic development level and policymaking. As the carrier of economic activities, land resource is an indispensable production factor of economic development, and economic growth leads to increased demand for...

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Autores principales: Chen, Chao, He, Xinyue, Liu, Zhisong, Sun, Weiwei, Dong, Heng, Chu, Yanli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7391701/
https://www.ncbi.nlm.nih.gov/pubmed/32728061
http://dx.doi.org/10.1038/s41598-020-69716-2
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author Chen, Chao
He, Xinyue
Liu, Zhisong
Sun, Weiwei
Dong, Heng
Chu, Yanli
author_facet Chen, Chao
He, Xinyue
Liu, Zhisong
Sun, Weiwei
Dong, Heng
Chu, Yanli
author_sort Chen, Chao
collection PubMed
description The monitoring of economic activities is of great significance for understanding regional economic development level and policymaking. As the carrier of economic activities, land resource is an indispensable production factor of economic development, and economic growth leads to increased demand for land as well as changes in land utilization form. As an important means of earth observation, remote-sensing technology can obtain the information of land use and land cover change (LUCC) related to economic activities. This study proposes a method for analysing regional economic situations based on remote-sensing technology, from which LUCC information extraction, sensitivity factor selection, model construction and accuracy evaluation were implemented. This approach was validated with experiments in Zhoushan City, China. The results show that the economic statistical index is most sensitive to the construction land area, and the average correlation coefficient between the actual data and the predicted data is 0.949, and the average of mean relative error is 14.21%. Therefore, this paper suggests that LUCC could be utilised as an explanatory indicator for estimating economic development at the regional level, and the potential applications of remotely-sensed image in economic activity monitoring are worth pursuing.
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spelling pubmed-73917012020-07-31 Analysis of regional economic development based on land use and land cover change information derived from Landsat imagery Chen, Chao He, Xinyue Liu, Zhisong Sun, Weiwei Dong, Heng Chu, Yanli Sci Rep Article The monitoring of economic activities is of great significance for understanding regional economic development level and policymaking. As the carrier of economic activities, land resource is an indispensable production factor of economic development, and economic growth leads to increased demand for land as well as changes in land utilization form. As an important means of earth observation, remote-sensing technology can obtain the information of land use and land cover change (LUCC) related to economic activities. This study proposes a method for analysing regional economic situations based on remote-sensing technology, from which LUCC information extraction, sensitivity factor selection, model construction and accuracy evaluation were implemented. This approach was validated with experiments in Zhoushan City, China. The results show that the economic statistical index is most sensitive to the construction land area, and the average correlation coefficient between the actual data and the predicted data is 0.949, and the average of mean relative error is 14.21%. Therefore, this paper suggests that LUCC could be utilised as an explanatory indicator for estimating economic development at the regional level, and the potential applications of remotely-sensed image in economic activity monitoring are worth pursuing. Nature Publishing Group UK 2020-07-29 /pmc/articles/PMC7391701/ /pubmed/32728061 http://dx.doi.org/10.1038/s41598-020-69716-2 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Chen, Chao
He, Xinyue
Liu, Zhisong
Sun, Weiwei
Dong, Heng
Chu, Yanli
Analysis of regional economic development based on land use and land cover change information derived from Landsat imagery
title Analysis of regional economic development based on land use and land cover change information derived from Landsat imagery
title_full Analysis of regional economic development based on land use and land cover change information derived from Landsat imagery
title_fullStr Analysis of regional economic development based on land use and land cover change information derived from Landsat imagery
title_full_unstemmed Analysis of regional economic development based on land use and land cover change information derived from Landsat imagery
title_short Analysis of regional economic development based on land use and land cover change information derived from Landsat imagery
title_sort analysis of regional economic development based on land use and land cover change information derived from landsat imagery
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7391701/
https://www.ncbi.nlm.nih.gov/pubmed/32728061
http://dx.doi.org/10.1038/s41598-020-69716-2
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