Multi-buffer zones reveal the relationship between spatial pattern of land surface temperature and land use indices in Guangzhou, China.

Zhoujiang Liu, Kai He, Zehua Ke, Litao Yuan, Yanqin Mao, Yuning Zhang

Abstract read

In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zhoujiang LiuInstitute of International Rivers and Eco-Security, Yunnan University, Kunming, China.

Kai HeCollege of Surveying and Information Engineering, West Yunnan University of Applied Sciences, Dali, China. witty98@126.com.

Zehua KeCollege of Surveying and Information Engineering, West Yunnan University of Applied Sciences, Dali, China.

Litao YuanCollege of Surveying and Information Engineering, West Yunnan University of Applied Sciences, Dali, China.

Yanqin MaoCollege of Surveying and Information Engineering, West Yunnan University of Applied Sciences, Dali, China.

Yuning ZhangFaculty of land and Resources Engineering, Kunming University of Science and Technology, Kunming, China.

Funding

The Special Basic Cooperative Research Programs of Yunnan Provincial Undergraduate Universities' Association: Research on the evaluation method of land ecosystem vulnerability in central Yunnan NO. 202401BA070001-016

6 · The paper itself

Abstract

Land surface temperature is a crucial physical parameter in the examination of the natural ecological environment. The study utilized Landsat data to investigate land use indices and thermal environment change in Guangzhou, employing the radiative transfer equation, concentric circles, Pearson correlation coefficient, and other geospatial methods. Overall, as the distance from the city center increased, NDVI values tended to rise, while land surface temperature showed a gradual decreasing trend. Additionally, land surface temperature exhibited a negative correlation with NDVI and a positive correlation with NDBI. Barren had the highest LST, followed by impervious, while the water and the forest were cooler. The high-temperature area took on a V-shape, primarily situated in the west and southern areas, whereas the cooler temperature zone was mainly found in the northeast. The results can offer a scientific foundation for further exploration of the urban heat island formation mechanism, development of rational planning policies, and assessment of urbanization’s impact on local climate.

Indexed as

Concentric circlesLand surface temperatureLand useLand use indicesPearson correlation coefficient

Identifiers

PMID41857131

DOI10.1038/s41598-026-44159-3

PMCPMC13139472

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.