Quantification of Urban Greenspace in Shenzhen Based on Remote Sensing Data
Rapid urbanization has led to the expansion of Shenzhen’s built-up land and a substantial reduction in urban greenspace (UG). However, the changes in UG in Shenzhen are not well understood. Here, we utilized long-time-series land cover data and the Normalized Difference Vegetation Index (NDVI) as a...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/20/4957 |
| _version_ | 1797572371800915968 |
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| author | Yu Bai Menghang Liu Weimin Wang Xiangyun Xiong Shenggong Li |
| author_facet | Yu Bai Menghang Liu Weimin Wang Xiangyun Xiong Shenggong Li |
| author_sort | Yu Bai |
| collection | DOAJ |
| description | Rapid urbanization has led to the expansion of Shenzhen’s built-up land and a substantial reduction in urban greenspace (UG). However, the changes in UG in Shenzhen are not well understood. Here, we utilized long-time-series land cover data and the Normalized Difference Vegetation Index (NDVI) as a proxy for greenspace quality to systematically analyze changes in the spatio-temporal pattern and the exposure and inequality of UG in Shenzhen. The results indicate that the UG area has been decreasing over the years, although the rate of decrease has slowed in recent years. The UG NDVI trend exhibited some seasonal variations, with a noticeable decreasing trend in spring, particularly in the eastern part of Shenzhen. Greenspace exposure gradually increased from west to east, with Dapeng and Pingshan having the highest greenspace exposure regardless of the season. Over the past two decades, inequality in greenspace exposure has gradually decreased during periods of urban construction in Shenzhen, with the fastest rate of decrease in spring and the slowest rate of decrease in summer. These findings provide a scientific basis for a better understanding of the current status of UG in Shenzhen and promote the healthy development of the city. Additionally, this study provides scientific evidence and insights for relevant decision-making institutions. |
| first_indexed | 2024-03-10T20:55:19Z |
| format | Article |
| id | doaj.art-10df507e8d9c42758b0c5ff0de00d367 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T20:55:19Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-10df507e8d9c42758b0c5ff0de00d3672023-11-19T17:58:48ZengMDPI AGRemote Sensing2072-42922023-10-011520495710.3390/rs15204957Quantification of Urban Greenspace in Shenzhen Based on Remote Sensing DataYu Bai0Menghang Liu1Weimin Wang2Xiangyun Xiong3Shenggong Li4Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaUniversity of Chinese Academy of Sciences, Beijing 100190, ChinaShenzhen Ecological Environmental Monitoring Center of Guangdong Province, Shenzhen 518049, ChinaShenzhen Ecological Environmental Monitoring Center of Guangdong Province, Shenzhen 518049, ChinaKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaRapid urbanization has led to the expansion of Shenzhen’s built-up land and a substantial reduction in urban greenspace (UG). However, the changes in UG in Shenzhen are not well understood. Here, we utilized long-time-series land cover data and the Normalized Difference Vegetation Index (NDVI) as a proxy for greenspace quality to systematically analyze changes in the spatio-temporal pattern and the exposure and inequality of UG in Shenzhen. The results indicate that the UG area has been decreasing over the years, although the rate of decrease has slowed in recent years. The UG NDVI trend exhibited some seasonal variations, with a noticeable decreasing trend in spring, particularly in the eastern part of Shenzhen. Greenspace exposure gradually increased from west to east, with Dapeng and Pingshan having the highest greenspace exposure regardless of the season. Over the past two decades, inequality in greenspace exposure has gradually decreased during periods of urban construction in Shenzhen, with the fastest rate of decrease in spring and the slowest rate of decrease in summer. These findings provide a scientific basis for a better understanding of the current status of UG in Shenzhen and promote the healthy development of the city. Additionally, this study provides scientific evidence and insights for relevant decision-making institutions.https://www.mdpi.com/2072-4292/15/20/4957urban greenspacegreenspace exposuregreenspace inequalityShenzhen |
| spellingShingle | Yu Bai Menghang Liu Weimin Wang Xiangyun Xiong Shenggong Li Quantification of Urban Greenspace in Shenzhen Based on Remote Sensing Data Remote Sensing urban greenspace greenspace exposure greenspace inequality Shenzhen |
| title | Quantification of Urban Greenspace in Shenzhen Based on Remote Sensing Data |
| title_full | Quantification of Urban Greenspace in Shenzhen Based on Remote Sensing Data |
| title_fullStr | Quantification of Urban Greenspace in Shenzhen Based on Remote Sensing Data |
| title_full_unstemmed | Quantification of Urban Greenspace in Shenzhen Based on Remote Sensing Data |
| title_short | Quantification of Urban Greenspace in Shenzhen Based on Remote Sensing Data |
| title_sort | quantification of urban greenspace in shenzhen based on remote sensing data |
| topic | urban greenspace greenspace exposure greenspace inequality Shenzhen |
| url | https://www.mdpi.com/2072-4292/15/20/4957 |
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