Understanding the Drivers of Land Surface Temperature Based on Multisource Data: A Spatial Econometric Perspective

Liu, Menghang; Ma, Haitao; Bai, Yu

doi:10.1109/jstars.2021.3129842

Cited by 8 publications

(1 citation statement)

References 71 publications

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“…This indicates that the efficient management and sustainable development of land systems will be of utmost importance to achieving SDGs in the following years. Recently, China has experienced unprecedented urbanization with increasing population, which inevitably intensifies the evolution of land systems (Zuo et al, 2018;Liu et al, 2021;He et al, 2022). Land use change refers to the transformation of land use morphology in a region during a certain period driven by human activities (Long et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal analysis of land use changes and their trade-offs on the northern slope of the Tianshan Mountains, China

2022

Front. Ecol. Evol.

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The unprecedented urbanization recently has inevitably intensified the changes in land use morphology. However, current studies on land use primarily analyze a single morphology, ignoring the relationships between different land use morphologies. Taking the northern slope of the Tianshan Mountains (NSTM) as the study area, this article quantifies the spatiotemporal pattern of land use change, and estimates trade-offs and synergies between dominant (patch density, largest patch index, and landscape shape index) and recessive (land use efficiency, land use intensity, and agricultural non-point source pollution) morphologies to fully understand the dynamic characteristics of land use. Results showed bare areas and grassland were always predominant land use types, and land use change from 1990 to 2020 was characterized by the increase of impervious surfaces and the decrease of bare areas. The strongest trade-off was found between largest patch index and land use intensity, while the synergy between landscape shape index and land use intensity was strongest. There are significant disparities in terms of temporal and spatial patterns of trade-offs/synergies. The correlation coefficients in different study periods were much smaller than their estimations in the whole region, and the trade-offs/synergies in the eastern NSTM were basically identical with the whole relationships. The findings reveal the interactions among various land use characteristics, and provide significant references for coordinated land management and regional high-quality development.

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Section: Introductionmentioning

confidence: 99%

Spatiotemporal analysis of land use changes and their trade-offs on the northern slope of the Tianshan Mountains, China

2022

Front. Ecol. Evol.

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Spatial analysis of land surface temperature distribution: case of the Greater Beirut Area

Al-Shaar

Bonin²,

Faour³

et al. 2022

Euro-Mediterr J Environ Integr

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Untangling the effects of the Belt and Road Initiative on carbon dioxide emissions

Liu

2023

Journal of Environmental Management

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Understanding the Drivers of Land Surface Temperature Based on Multisource Data: A Spatial Econometric Perspective

Cited by 8 publications

References 71 publications

Spatiotemporal analysis of land use changes and their trade-offs on the northern slope of the Tianshan Mountains, China

Spatiotemporal analysis of land use changes and their trade-offs on the northern slope of the Tianshan Mountains, China

Spatial analysis of land surface temperature distribution: case of the Greater Beirut Area

Untangling the effects of the Belt and Road Initiative on carbon dioxide emissions

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