Evidence map›Paper›PMID 31385244›Full record

ArticleEnvironmental science and pollution research international2020

Using GIS tools to detect the land use/land cover changes during forty years in Lodhran District of Pakistan.

Sajjad Hussain, Muhammad Mubeen, Ashfaq Ahmad, Waseem Akram, Hafiz Mohkum Hammad, Mazhar Ali, Nasir Masood, Asad Amin, Hafiz Umar Farid, Syeda Refat Sultana and 3 more

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Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  17. Environmental toxicology and associated human health risks.Environmental science and pollution research international · 2020
    Article
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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

13 authors.

Sajjad HussainDepartment of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Vehari, 61100, Pakistan.
Muhammad MubeenDepartment of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Vehari, 61100, Pakistan. muhammadmubeen@ciitvehari.edu.pk.
Ashfaq AhmadUS-Pakistan Centre for Advanced Studies in Agriculture and Food Security, University of Agriculture, Faisalabad, Pakistan.
Waseem AkramDepartment of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Vehari, 61100, Pakistan.
Hafiz Mohkum HammadDepartment of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Vehari, 61100, Pakistan.
Mazhar AliDepartment of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Vehari, 61100, Pakistan.
Nasir MasoodDepartment of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Vehari, 61100, Pakistan.
Asad AminQueensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, QLD, Brisbane, 4072, Australia.
Hafiz Umar FaridDepartment of Agricultural Engineering, Bahauddin Zakariya University, Multan, Pakistan.
Syeda Refat SultanaDepartment of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Vehari, 61100, Pakistan.
Shah FahadCollege of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China. shah_fahad80@yahoo.com.
Depeng WangCollege of Life Science, Linyi University, Linyi, 276000, Shandong, China. dwyandywang@163.com.
Wajid NasimDepartment of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Vehari, 61100, Pakistan. wajidnasim@ciitvehari.edu.pk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Land use/land cover (LULC) change has serious implications for environment as LULC is directly related to land degradation over a period of time and results in many changes in the environment. Monitoring the locations and distributions of LULC changes is important for establishing links between regulatory actions, policy decisions, and subsequent LULC activities. The normalized difference vegetation index (NDVI) has the potential ability to identify the vegetation features of various eco-regions and provides valuable information as a remote sensing tool in studying vegetation phenology cycles. Similarly, the normalized difference built-up index (NDBI) may be used for quoting built-up land. This study aims to detect the pattern of LULC, NDBI, and NDVI change in Lodhran district, Pakistan, from the Landsat images taken over 40 years, considering four major LULC types as follows: water bodies, built-up area, bare soil, and vegetation. Supervised classification was applied to detect LULC changes observed over Lodhran district as it explains the maximum likelihood algorithm in software ERDAS imagine 15. Most farmers (46.6%) perceived that there have been extreme changes of onset of temperature, planting season, and less precipitation amount in Lodhran district in the last few years. In 2017, building areas increased (4.3%) as compared to 1977. NDVI values for Lodhran district were highest in 1977 (up to + 0.86) and lowest in 1997 (up to - 0.33). Overall accuracy for classification was 86% for 1977, 85% for 1987, 86% for 1997, 88% for 2007, and 95% for 2017. LULC change with soil types, temperature, and NDVI, NDBI, and slope classes was common in the study area, and the conversions of bare soil into vegetation area and built-up area were major changes in the past 40 years in Lodhran district. Lodhran district faces rising temperatures, less irrigation water, and low rainfall. Farmers are aware of these climatic changes and are adapting strategies to cope with the effects but require support from government.

Indexed as

Geographic Information SystemsUrbanizationEnvironmental MonitoringPakistanSeasonsClimate changeFarmers’ perceptionGeographic information systemNormalized difference built-up indexNormalized difference vegetation indexRemote sensing

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Registered trials

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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.