Evidence map›Paper›PMID 31792634›Full record

ArticleEnvironmental monitoring and assessment2019

Study of land cover/land use changes using RS and GIS: a case study of Multan district, Pakistan.

Sajjad Hussain, Muhammad Mubeen, Waseem Akram, Ashfaq Ahmad, Muhammad Habib-Ur-Rahman, Abdul Ghaffar, Asad Amin, Muhammad Awais, Hafiz Umar Farid, Amjad Farooq and 1 more

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Article in Environmental monitoring and assessment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

11 authors.

Sajjad HussainDepartment of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Vehari, Punjab, 61100, Pakistan.
Muhammad MubeenDepartment of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Vehari, Punjab, 61100, Pakistan. muhammadmubeen@ciitvehari.edu.pk.ORCID http://orcid.org/0000-0002-2823-9959
Waseem AkramDepartment of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Vehari, Punjab, 61100, Pakistan.
Ashfaq AhmadU.S.-Pakistan Centre for Advanced Studies in Agriculture and Food Security, University of Agriculture, Faisalabad, Pakistan.
Muhammad Habib-Ur-RahmanDepartment of Agronomy, MNS-University of Agriculture, Multan, Punjab, Pakistan. mhabibur@uni-bonn.de.
Abdul GhaffarDepartment of Agronomy, MNS-University of Agriculture, Multan, Punjab, Pakistan.
Asad AminDepartment of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Vehari, Punjab, 61100, Pakistan.
Muhammad AwaisDepartment of Agronomy, University College of Agriculture and Environmental Science, The Islamia University of Bahawalpur, Bahawalpur, Pakistan.
Hafiz Umar FaridDepartment of Agricultural Engineering, Bahauddin Zakariya University, Multan, Pakistan.
Amjad FarooqDepartment of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Vehari, Punjab, 61100, Pakistan.
Wajid NasimDepartment of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Vehari, Punjab, 61100, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water and land both are limited resources. Current management strategies are facing multiple challenges to meet food security of an increasing population in numerous South Asian countries, including Pakistan. The study of land cover/land use changes (LCLUC) and land surface temperature (LST) is important as both provide critical information for policymaking of natural resources. We spatially examined LCLU and LST changes in district Multan, Pakistan, and its impacts on vegetation cover and water during 1988 to 2017. The LCLUC indicate that rice and sugarcane had less volatility of change in comparison with both cotton and wheat. Producer's accuracy (PA) is the map accuracy (the producer of map), but user's accuracy (UA) is the accuracy from the point of view of a map user, not the map maker. Average overall producer's and user's accuracy for the region was 85.7% and 87.7% for Rabi (winter) and Kharif (summer) seasons, respectively. The results of this study showed that 'built-up area' increased with 7.2% of all the classes during 1988 to 2017 in the Multan district. Anthropogenic activities decreased the vegetation, leading to an increase in LST in study area. Changes on LCLU and LST during the last 30 years have shown that vegetation pattern has changed and temperature has increased in the Multan district.

Indexed as

Geographic Information SystemsRemote Sensing TechnologyEnvironmental MonitoringPakistanPlantsSeasonsTemperatureUrbanizationClimate changeCropsLand surface temperature (LST)NDVIRemote 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.