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2000–2020年京津冀城乡建设用地及SDG11.3.1指标数据集
Urban built-up area and SDG indicator 11.3.1 dataset for the Beijing-Tianjin-Hebei region, China from 2000 to 2020
: 2021 - 07 - 30
: 2021 - 08 - 08
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摘要&关键词
摘要:京津冀城市群是我国最重要和发展最迅速的城市群之一。通过掌握区域内城市用地和人口的动态变化及二者之间的相互关系,调整优化城市布局和空间结构,合理配置城市土地资源,对该区域的可持续发展具有重要意义。本文基于长时序Landsat影像,利用Google Earth Engine云平台提取了京津冀地区建设用地,将提取结果与GlobeLand30、GHS-Built、GAIA和GLC_FCS-2020四种土地覆盖产品相融合,生成了京津冀2000-2020年五期城乡建设用地数据集,经验证整体精度优于90%。基于该数据提取了城市功能边界,计算了京津冀地区各城市的SDG 11.3.1指标:土地消耗率(Land Consumption Rate, LCR),人口增长率(Population Growth Rate, PGR)及土地消耗率与人口增长率的比率(Ratio of Land Consumption Rate to Population Growth Rate, LCRPGR)。结果表明,京津冀地区土地消耗率与人口增长率的比率整体从2000-2005年的1.142波动到2005-2010年的0.946、2010-2015年的2.232和2015-2020年的1.538。不同人口规模城市的LCRPGR值变化趋势不同,中小型城市土地资源利用效率持续降低。特别是小型城市LCRPGR值高于其他类型城市,土地资源利用效率最低。本数据可作为京津冀地区城市扩张分析的基础数据,应用于该区域可持续发展目标相关指标的监测和评估。
关键词:京津冀;建设用地;土地利用效率;SDG11;Google Earth Engine
Abstract & Keywords
Abstract: The Beijing-Tianjin-Hebei(BTH) region is one of the most important and fastest-growing urban agglomerations in China. By capturing the dynamic changes of urban land and population in the region and their relationship, adjusting and optimizing the urban layout and spatial structure, and rational allocation of urban land resources are of great significance to the sustainable development of this region. Based on time series of Landsat images, this study uses the Google Earth Engine cloud platform to extract built-up land in the Beijing-Tianjin-Hebei region, and integrates the results with GlobeLand30, GHS-Built, GAIA and GLC_FCS-2020 land cover products to derive the built-up land data set during the period 2000-2020 in the region. An overall accuracy higher than 90% was obtained. Based on this data set, the urban functional boundaries were extracted, and the SDG 11.3.1 indicators-land consumption rate(LCR), population growth rate(PGR) and ratio of land consumption rate to population growth rate(LCRPGR) were calculated for each city. The results show that the overall LCRPGR value in the BTH region fluctuated from 1.142 in 2000-2005 to 0.946 in 2005-2010, 2.232 in 2010-2015, and 1.538 in 2015-2020. The change trend of LCRPGR value for cities with different population sizes is different. The LCRPGR values of small and medium-sized cities increased gradually, and the land use efficiency was decreasing. The LCRPGR values of small cities are higher than that of other types of cities. This dataset can be used as the basic data for urban expansion analysis in the BTH region, and applied to the monitoring and assessment of relevant indicators of the sustainable development goals in the region.
Keywords: Beijing-Tianjin-Hebei region; built-up area; land use efficiency; SDG11; Google Earth Engine
稿件与作者信息
束磊
Lei Shu
周美玲
Meiling Zhou
鹿琳琳
Linlin Lu
lull@radi.ac.cn
马永欢
Yonghuan Ma
张双成
Shuangcheng Zhang
刘昭华
Zhaohua Liu
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