Evidence map›Paper›PMID 35684787›Full record

ArticleSensors (Basel, Switzerland)2022

Urban Greening Effect on Land Surface Temperature.

Anita Zaitunah, Samsuri, Angelia Frecella Silitonga, Lailan Syaufina

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Anita ZaitunahFaculty of Forestry, Universitas Sumatera Utara, Jalan Tri Dharma Ujung No 1, Medan 20155, North Sumatra, Indonesia.ORCID 0000-0002-7131-1397
SamsuriFaculty of Forestry, Universitas Sumatera Utara, Jalan Tri Dharma Ujung No 1, Medan 20155, North Sumatra, Indonesia.
Angelia Frecella SilitongaFaculty of Forestry, Universitas Sumatera Utara, Jalan Tri Dharma Ujung No 1, Medan 20155, North Sumatra, Indonesia.
Lailan SyaufinaDepartment of Silviculture, Faculty of Forestry and Environment, Bogor Agricultural University, Bogor 16680, West Java, Indonesia.

Funding

Ministry of Research, Technology and Higher Education 12/E1/KP.PTNBH/2021
6 · The paper itself

Abstract

Urbanization has accelerated the conversion of vegetated land to built-up regions. The purpose of this study was to evaluate the effects of urban park configuration on the Land Surface Temperature of the park and adjacent areas. In urban parks, the study analyzed the Normalized Difference Vegetation Index (NDVI), the Normalized Difference Built-up Index (NDBI), and the Land Surface Temperature (LST). The NDVI categorization process resulted in the development of a vegetation density distribution. The majority of Medan's urban areas were categorized as low density, as seen by their low NDVI values. The NDBI values were significantly higher in the majority of the area. This shows that the majority of places are experiencing a decline in vegetation cover. The density of vegetation varies according to the placement of park components such as trees, mixed plants, recreation, and sports areas. According to LST data, the temperature in the urban park was cooler than in the surrounding areas. Although the surrounding areas are densely populated, urban parks are dominated by trees. Additionally, there is a green space adjacent to the park, which is a green lane that runs alongside the main roadways.

Indexed as

Environmental MonitoringUrbanizationCitiesHot TemperatureTemperaturecity parkLSTNDVIremote sensingurban greening

Identifiers

PMID35684787
PMCPMC9185349

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.