Characterizing the livingness of geographic space across scales using global nighttime light data DOI Creative Commons
Zheng Ren, Bin Jiang, Chris de Rijke

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2024, Volume and Issue: 133, P. 104136 - 104136

Published: Sept. 1, 2024

Language: Английский

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

Efficacy of the SDGSAT-1 glimmer imagery in measuring sustainable development goal indicators 7.1.1, 11.5.2, and target 7.3 DOI Creative Commons
Shaoyang Liu,

Congxiao Wang,

Zuoqi Chen

et al.

Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 305, P. 114079 - 114079

Published: Feb. 29, 2024

The Sustainable Development Goals Satellite 1 (SDGSAT-1), equipped with the Glimmer Imager (GLI), provides high-resolution nighttime light (NTL) data across multiple spectral bands, potentially facilitating monitoring of sustainable development goals (SDGs). This study developed a denoising algorithm for multispectral SDGSAT-1 GLI and demonstrated that its capacity allows measurement SDG indicators 7.1.1, 11.5.2, achievement target 7.3. results indicate (1) can effectively remove strips salt-and-pepper noise from images, residual significantly reduced almost little information loss. (2) accurately identify electrified areas at finer spatial scale calculating Indicator compared to traditional NASA's Black Marble Product. findings show highly urbanized cities exhibit greater proportion their population access electricity than underdeveloped cities. (3) proficiently estimates economic losses resulting non-natural disasters 11.5.2. Changes in NTL intensity strongly correlate pandemic-induced losses, an R2 exceeding 0.8. (4) When measuring Target 7.3 achievement, bands classify streetlight types into light-emitting diode high-pressure sodium lamps acceptable overall accuracy (89.9%). Sequentially, classification shows Shanghai achieved 13.09% energy-saving benefit. Overall, by leveraging high resolution, spectra, appropriate satellite overpass times GLI, estimated this outperform those based on products, have potential serve as direct source or reference factor estimating least 11 indicators.

Language: Английский

Citations

15

Exploration of the development of water-energy-food nexus and its endogenous and exogenous drivers in the Yellow River Basin, China DOI
Yirui Wang, Jinxi Song, Qi Li

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 378, P. 124735 - 124735

Published: March 3, 2025

Language: Английский

Citations

1

Global spatial patterns between nighttime light intensity and urban building morphology DOI Creative Commons
Bin Wu, Hailan Huang, Yu Wang

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2023, Volume and Issue: 124, P. 103495 - 103495

Published: Sept. 20, 2023

The comprehensive characterization of global urbanization requires consideration both human activities and urban physical structures. Both structures exhibit regular self-similar patterns, yet the spatial patterns between two at a scale remain elusive. This study utilized NPP-VIIRS annual composite data newly available world settlement footprint 3D to investigate relationships nighttime light intensity building morphological indicators across several scales. Our results demonstrated that there is weak association morphology pixel level, as shown by maximum correlation coefficient approximately 0.4, but strong provincial/state level with over 0.8. Additionally, we performed an urban-rural gradient analysis evaluate indicators. indicated dominant gradients for morphologies follow declining trend from centers rural areas. Notably, inconsistencies were found predominantly in Africa. findings also suggested can be served indicator urbanization, thus provide implications facilitating solutions aimed reducing income disparity promoting sustainable development.

Language: Английский

Citations

18

The Synergy Between Remote Sensing and Social Sensing in Urban Studies: Review and perspectives DOI
Xiaoyue Xing, Bailang Yu, Chaogui Kang

et al.

IEEE Geoscience and Remote Sensing Magazine, Journal Year: 2024, Volume and Issue: 12(1), P. 108 - 137

Published: Jan. 4, 2024

Urban studies require a rich set of information sources and techniques that enable comprehensive depiction urban environments. Remote sensing captures physical characteristics landscapes, while social collects data from media digital devices to reflect human activities. The combination remote has been employed investigate environments, dynamics, the well-being city residents. This review explores leading ideas methodologies synergy between in broad context studies. involves leveraging benefits gain deeper understanding than can be acquired through any single approach. Two types are identified, namely, "transfer-based synergy" "integration-based synergy." former transfers based on their similarity. latter integrates these ways complementary advantages. motivations methods summarized show how such is suited for investigating complex nature systems. Typical applications include land use functional zone mapping, special identification, estimation natural socioeconomic elements, emergency response. We also identify quality issues, refinement methodologies, expansion still pose challenges worth future research. lays foundation synergizing sensing, offering researchers guidance reexamine reconceptualize multiple perspectives.

Language: Английский

Citations

8

A study on siting of emergency shelters for dam failure floods considering population distribution and weather effects DOI
Yutie Jiao, Zongkun Li, Wei Ge

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 914, P. 169901 - 169901

Published: Jan. 4, 2024

Language: Английский

Citations

8

Potential of SDGSAT-1 nighttime light data in extracting urban main roads DOI
Bin Wu, Yu Wang, Hailan Huang

et al.

Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 315, P. 114448 - 114448

Published: Oct. 1, 2024

Language: Английский

Citations

7

Using POI and multisource satellite datasets for mainland China's population spatialization and spatiotemporal changes based on regional heterogeneity DOI
Jinyu Zhang, Xuesheng Zhao

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 912, P. 169499 - 169499

Published: Dec. 19, 2023

Language: Английский

Citations

15

A novel dynamic quantification model for diurnal urban land use intensity DOI Creative Commons
Huijun Zhou, Junlei Yuan, Disheng Yi

et al.

Cities, Journal Year: 2024, Volume and Issue: 148, P. 104861 - 104861

Published: Feb. 8, 2024

Most urban land use studies lack dynamic analyses and precise temporal resolutions of use. To address this issue, our study introduces a model that incorporates eight indicators function, capturing intensity shifts every 15 min. We establish method for computing these using data. Our has notably enhanced resolution, provides detailed service depictions, integrates real-world attributes, such as building size type. This allows harmonious comparisons between human activity data static functional areas. novel the validation comparison results addresses evaluations in studies. extensive analysis reveals following significant findings: 1) Certain regions near Beijing's Third Ring Road show variable potential nighttime economic development. 2) Daytime high morning peak social concentrations, whereas evening peaks manifest dispersed—albeit intense—residential 3) Mixed does not guarantee consistent daily activities; however, proximity to multiple train stations intensifies diverse activities, leading heightened mixed Overall, robust dataset management facilitates greenhouse-gas emissions vitality, among other research topics.

Language: Английский

Citations

5

Characterizing the 3-D structure of each building in the conterminous United States DOI
Yangzi Che, Xuecao Li,

Xiaoping Liu

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 105, P. 105318 - 105318

Published: Feb. 27, 2024

Language: Английский

Citations

5