GABLE: A first fine-grained 3D building model of China on a national scale from very high resolution satellite imagery DOI Creative Commons
Xian Sun, Xingliang Huang, Yongqiang Mao

et al.

Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 305, P. 114057 - 114057

Published: Feb. 27, 2024

Three-dimensional (3D) building models provide horizontal and vertical information of urban development patterns, which are significant to urbanization analysis, solar energy planning, carbon reduction sustainability. Despite that many popular products on a global or national scale proposed, these usually focus extraction height estimation at fairly coarse resolutions while categories not taken into consideration. In this study, we extend the previous work in two aspects involving introduction semantically fine-grained (i.e., 12 rooftop classes) spatially representations individual buildings with compact polygons. Specifically, develop novel framework for generation 3D models, including developing network joint classification, another parallel estimation, post-processing algorithm fusion results from independent networks. To train networks improve generalization, construct custom large-scale datasets addition existing Urban Building Classification (UBC) dataset 2023 IEEE Data Fusion Contest (DFC 2023) dataset. Finally, nation-scale fine-GrAined BuiLding modEl (GABLE) product is derived based Beijing-3 satellite images (0.5–0.8 m) our proposed framework. GABLE provides polygon, category value each instance. Further analyses conducted uncover distribution terms diversity, density. These demonstrate significance values GALBE, potentials far beyond these.

Language: Английский

Mapping fine-scale building heights in urban agglomeration with spaceborne lidar DOI
Xiao Ma, Guang Zheng, Chi Xu

et al.

Remote Sensing of Environment, Journal Year: 2022, Volume and Issue: 285, P. 113392 - 113392

Published: Dec. 6, 2022

Language: Английский

Citations

42
Global maps of 3D built-up patterns for urban morphological analysis DOI Creative Commons
Mengmeng Li, Yuan Wang, Job Rosier

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2022, Volume and Issue: 114, P. 103048 - 103048

Published: Oct. 7, 2022

Horizontal and vertical patterns of built-up land are essential to analyse a range environmental change impacts, such as exposure natural hazards, urban heat islands, trapping air pollution, well for decision making in this context. However, while data on horizontal abundant, they relatively rare patterns. Here, we present global maps 3D at 1-km2 resolution the nominal year 2015. These estimated using random forest models, fed with wide spatial trained reference from all continents except Antarctica. Independent testing indicates that R2 values models footprint, height, volume equal 0.89, 0.73, 0.84, respectively. Our results show buildings worldwide 6.16-m high average, total building is 1645 km3, which equivalent solid cube 12 km each side. Yet, find large variations patterns, both within across world regions. In particular, floor space per person exceeds 200 m2 Oceania North America, it only 29 South Asia 38 Sub-Saharan Africa. provide novel insights into distribution offer new opportunities assessments impacts. The height can be downloaded https://doi.org/10.34894/4QAGYL.

Language: Английский

Citations

41
Sensitivity of measuring the urban form and greenery using street-level imagery: A comparative study of approaches and visual perspectives DOI Creative Commons
Filip Biljecki, Tianhong Zhao, Xiucheng Liang

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2023, Volume and Issue: 122, P. 103385 - 103385

Published: June 17, 2023

Street View Imagery (SVI) is crucial in estimating indicators such as Sky Factor (SVF) and Green Index (GVI), but (1) approaches terminology differ across fields planning, transportation climate, potentially causing inconsistencies; (2) it unknown whether the regularly used panoramic imagery actually essential for tasks, or we can use only a portion of imagery, simplifying process; (3) do not know if non-panoramic (single-frame) photos typical crowdsourced platforms serve same purposes ones from services Google Baidu Maps their limited perspectives. This study first to examine comprehensively built form metrics, influence different practices on computing them multiple fields, usability normal (from consumer cameras). We overview run experiments 70 million images 5 cities analyse impact multitude variants SVI characterising physical environment mapping street canyons: few (e.g. fisheye) 96 scenarios perspective with variable directions, view, aspect ratios mirroring diverse smartphones dashcams. demonstrate that disparate give mostly comparable results metric R=0.82 R=0.98 metrics); often when using front-facing ultrawide camera), single-frame derive commercial counterparts. finding may simplify processes data also unlock value billions images, which are overlooked, benefit scores locations worldwide yet covered by services. Further, aggregated city-scale analyses, correspond closely.

Language: Английский

Citations

40
Global 30 meters spatiotemporal 3D urban expansion dataset from 1990 to 2010 DOI Creative Commons
Tingting He, Kechao Wang, Wu Xiao

et al.

Scientific Data, Journal Year: 2023, Volume and Issue: 10(1)

Published: May 26, 2023

Abstract Understanding the spatiotemporal dynamics of global 3D urban expansion over time is becoming increasingly crucial for achieving long-term development goals. In this study, we generated a dataset annual (1990–2010) using World Settlement Footprint 2015 data, GAIA and ALOS AW3D30 data with three-step technical framework: (1) extracting constructed land to generate research area, (2) neighborhood analysis calculate original normalized DSM slope height each pixel in study (3) correction areas greater than 10° improve accuracy estimated building heights. The cross-validation results indicate that our reliable United States(R 2 = 0.821), Europe(R 0.863), China(R 0.796), across world(R 0.811). As know, first 30-meter globe, which can give unique information understand address implications urbanization on food security, biodiversity, climate change, public well-being health.

Language: Английский

Citations

33
Combining ICESat-2 photons and Google Earth Satellite images for building height extraction DOI Creative Commons
Yi Zhao, Bin Wu, Qiaoxuan Li

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2023, Volume and Issue: 117, P. 103213 - 103213

Published: Jan. 29, 2023

Building heights are one of the crucial data for comprehending functions urban systems. Employing optical remote sensing imagery, shadow-based method is most promising methods which have been proposed estimating building height. However, existing studies height estimation restricted to a small area due lack annotations and ignorance azimuth variations. The Ice, Cloud, Land Elevation Satellite-2 (ICESat-2) allows large-scale retrieval in along-track direction thus can be taken as ground truth support algorithms extraction. Here, we an approach extracting by combining Google Earth Satellite (GES) images ICESat-2 photons. shadow instances were first extracted using U-Net deep learning framework. Based on retrieved from photons, improved model minimizing global error across all sample buildings was developed. A typical located city center Shanghai, China with around 90 km2 selected validate method. In total 15,966 successfully results indicated that estimated high accuracy absolute mean 4.08 m. Moreover, shows better performance compared datasets. holds great potential building-level contributes further morphologies.

Language: Английский

Citations

31
Nowcasting Daily Population Displacement in Ukraine through Social Media Advertising Data DOI Creative Commons
Douglas R. Leasure, Ridhi Kashyap, Francesco Rampazzo

et al.

Population and Development Review, Journal Year: 2023, Volume and Issue: 49(2), P. 231 - 254

Published: April 6, 2023

Abstract In times of crisis, real‐time data mapping population displacements are invaluable for targeted humanitarian response. The Russian invasion Ukraine on February 24, 2022, forcibly displaced millions people from their homes including nearly 6 million refugees flowing across the border in just a few weeks, but information was scarce regarding and vulnerable populations who remained inside Ukraine. We leveraged social media Facebook's advertising platform combination with preconflict to build monitoring system estimate subnational sizes every day disaggregated by age sex. Using this approach, we estimated that 5.3 had been internally away baseline administrative region first three weeks after start conflict. Results revealed four distinct displacement patterns: large‐scale evacuations, refugee staging areas, internal areas refuge, irregular dynamics. While use provided one only quantitative estimates conflict setting virtual real time, conclude acknowledging risks challenges these new streams future.

Language: Английский

Citations

31
Scale-dependent and season-dependent impacts of 2D/3D building morphology on land surface temperature DOI
Fengxiang Guo, Uwe Schlink, Wanben Wu

et al.

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 97, P. 104788 - 104788

Published: July 10, 2023

Language: Английский

Citations

29
Scaling of the morphology of African cities DOI Creative Commons
Rafael Prieto Curiel, Jorge E. Patiño, Brilé Anderson

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2023, Volume and Issue: 120(9)

Published: Feb. 23, 2023

A large proportion of Africa's infrastructure is yet to be built. Where and how these new buildings are constructed matters since today's decisions will last for decades. The resulting morphology cities has lasting implications a city's energy needs. Estimating projecting needs always been challenging in Africa due the lack data. Yet, given sweeping urbanization expected over next three decades, this obstacle must overcome guide toward trajectory sustainability resilience. Based on location surface nearly 200 million continent, we estimate interbuilding distance almost six thousand cities. Buildings' footprint data enable construction urban form indicators compare African cities' elongation, sprawl, emptiness. We establish BASE model, where mean between functional relation number Buildings their average Area, as well Sprawl Elongation its spatial arrangement. structures cities-our proxy demands related mobility-grows faster than square root population, from combined impact sublinear growth increase building size sprawl. that when city doubles it triples demand transport.

Language: Английский

Citations

28
Mapping Population Distribution with High Spatiotemporal Resolution in Beijing Using Baidu Heat Map Data DOI Creative Commons
Wenxuan Bao, Adu Gong, Tong Zhang

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(2), P. 458 - 458

Published: Jan. 12, 2023

Population distribution data with high spatiotemporal resolution are of significant value and fundamental to many application areas, such as public health, urban planning, environmental change, disaster management. However, still not widely available due the limited knowledge complex human activity patterns. The emergence location-based service big provides additional opportunities solve this problem. In study, we integrated ambient population data, nighttime light building volume data; innovatively proposed a spatial downscaling framework for Baidu heat map during work time sleep time; mapped (i.e., hourly, 100 m) in Beijing. Finally, validated generated maps using highest-quality validation mobile signaling data). relevant results indicate that our both has accuracy, Beijing on regular weekday shows “centripetal centralization at daytime, centrifugal dispersion night” variation characteristics, interaction between purpose residents’ activities functional differences leads evolution distribution, China’s “surgical control dynamic zero COVID-19” epidemic policy was strongly implemented. addition, can be transferred other regions, which is governmental emergency measures studies about risks issues.

Language: Английский

Citations

27
Leveraging Chinese GaoFen-7 imagery for high-resolution building height estimation in multiple cities DOI
Peimin Chen, Huabing Huang, Jinying Liu

et al.

Remote Sensing of Environment, Journal Year: 2023, Volume and Issue: 298, P. 113802 - 113802

Published: Sept. 12, 2023

Language: Английский

Citations

27