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Assessment of Land Cover Status and Change in the World and “the Belt and Road” Region from 2016 to 2020
The assessment of land cover and changes will help to understand the temporal and spatial pattern of land cover in the world and the Belt and Road (B&R) region, and provide reference information for global sustainable development and the Belt and Road construction. In this paper, the 1 km global...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10458204/ https://www.ncbi.nlm.nih.gov/pubmed/37631695 http://dx.doi.org/10.3390/s23167158 |
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author | Yang, Aixia Zhong, Bo Hu, Longfei Kai, Ao Li, Li Zhao, Fei Wu, Junjun |
author_facet | Yang, Aixia Zhong, Bo Hu, Longfei Kai, Ao Li, Li Zhao, Fei Wu, Junjun |
author_sort | Yang, Aixia |
collection | PubMed |
description | The assessment of land cover and changes will help to understand the temporal and spatial pattern of land cover in the world and the Belt and Road (B&R) region, and provide reference information for global sustainable development and the Belt and Road construction. In this paper, the 1 km global land cover classification maps of 2016 and 2020 with a high accuracy of 88% are mapped using the Moderate Resolution Imaging Spectroradiometer (MODIS) time series surface reflectance products. Based on the maps, the land cover status of the world and the Belt and Road region, the land cover change from 2016 to 2020, and the mutual transformation characteristics between various types, are analyzed. The research results indicate that from 2016 to 2020, the global change rates of cropland, forest, grassland, and impervious surface are 0.25%, 0.22%, 0.08% and 3.41%, respectively. In the Belt and Road region, the change rates of cropland, forest, grassland, and impervious surface are 0.42%, 0.60%, −0.55% and 2.98% respectively. The assessment results will help to clarify the spatial pattern of land cover change in the five years from 2016 to 2020, so as to provide valuable scientific information for the global realization of sustainable development goals and the construction of the B&R. |
format | Online Article Text |
id | pubmed-10458204 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104582042023-08-27 Assessment of Land Cover Status and Change in the World and “the Belt and Road” Region from 2016 to 2020 Yang, Aixia Zhong, Bo Hu, Longfei Kai, Ao Li, Li Zhao, Fei Wu, Junjun Sensors (Basel) Article The assessment of land cover and changes will help to understand the temporal and spatial pattern of land cover in the world and the Belt and Road (B&R) region, and provide reference information for global sustainable development and the Belt and Road construction. In this paper, the 1 km global land cover classification maps of 2016 and 2020 with a high accuracy of 88% are mapped using the Moderate Resolution Imaging Spectroradiometer (MODIS) time series surface reflectance products. Based on the maps, the land cover status of the world and the Belt and Road region, the land cover change from 2016 to 2020, and the mutual transformation characteristics between various types, are analyzed. The research results indicate that from 2016 to 2020, the global change rates of cropland, forest, grassland, and impervious surface are 0.25%, 0.22%, 0.08% and 3.41%, respectively. In the Belt and Road region, the change rates of cropland, forest, grassland, and impervious surface are 0.42%, 0.60%, −0.55% and 2.98% respectively. The assessment results will help to clarify the spatial pattern of land cover change in the five years from 2016 to 2020, so as to provide valuable scientific information for the global realization of sustainable development goals and the construction of the B&R. MDPI 2023-08-14 /pmc/articles/PMC10458204/ /pubmed/37631695 http://dx.doi.org/10.3390/s23167158 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yang, Aixia Zhong, Bo Hu, Longfei Kai, Ao Li, Li Zhao, Fei Wu, Junjun Assessment of Land Cover Status and Change in the World and “the Belt and Road” Region from 2016 to 2020 |
title | Assessment of Land Cover Status and Change in the World and “the Belt and Road” Region from 2016 to 2020 |
title_full | Assessment of Land Cover Status and Change in the World and “the Belt and Road” Region from 2016 to 2020 |
title_fullStr | Assessment of Land Cover Status and Change in the World and “the Belt and Road” Region from 2016 to 2020 |
title_full_unstemmed | Assessment of Land Cover Status and Change in the World and “the Belt and Road” Region from 2016 to 2020 |
title_short | Assessment of Land Cover Status and Change in the World and “the Belt and Road” Region from 2016 to 2020 |
title_sort | assessment of land cover status and change in the world and “the belt and road” region from 2016 to 2020 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10458204/ https://www.ncbi.nlm.nih.gov/pubmed/37631695 http://dx.doi.org/10.3390/s23167158 |
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