Land consumption delineates how effectively we use our living space - whether wastefully in area or efficiently. As the United Nations (UN) projects 5.1 billion population will live in urban areas in 2030, it is crucial to measure, compare, and understand land consumption for our cities across the globe. Currently global approaches for land consumption analysis rely on settlement layers produced by remote sensing data and population data achieved by distributing census data over settlement layers. These layers, however, do not have sufficient spatial details to capture the intra-urban structural variability within a city. In this study, we develop a classification system that consistently produces accurate local climate zone (LCZ) maps at intra-urban scale for 40 cities using Sentinel data. We use the LCZ classes as proxies to disaggregate the global population grids (GHS-POP) to this intra-urban scale. With the refined data, we perform an intra-urban land consumption analysis for 40 cities across the globe. Our measurements shows that current per-city land consumption studies severely deviate from the intra-urban variability. We argue urban land consumption at global scale must proceed to an intra-urban resolution. In addition, our measurements also indicate that urban land consumption is differing immensely across the globe.

土地消耗描绘了我们如何有效利用生活空间-无论是浪费面积还是有效利用。联合国（UN）预测，到2030年，将有51亿人口居住在城市地区，因此，衡量，比较和了解全球我们城市的土地消耗至关重要。当前，全球土地消耗分析方法依赖于遥感数据和人口数据产生的定居层，这些数据是通过在定居层上分布人口普查数据而获得的。但是，这些图层没有足够的空间细节来捕获城市内的城市内部结构变化。在这项研究中，我们开发了一个分类系统，该系统使用Sentinel数据始终如一地在40个城市的城市规模内生成准确的局部气候区（LCZ）地图。我们使用LCZ类作为代理，以将全球人口网格（GHS-POP）分解到这种城市内部规模。借助完善的数据，我们对全球40个城市进行了城市内部土地消耗分析。我们的测量结果表明，当前每个城市的土地消耗研究严重偏离了城市内部的可变性。我们认为，全球范围内的城市土地消耗必须推进城市内部的解决。此外，我们的测量结果还表明，全球的城市土地消耗存在巨大差异。我们认为，全球范围内的城市土地消耗必须推进城市内部的解决。此外，我们的测量结果还表明，全球的城市土地消耗存在巨大差异。我们认为，全球范围内的城市土地消耗必须推进城市内部的解决。此外，我们的测量结果还表明，全球的城市土地消耗存在巨大差异。