Evidence map›Paper›PMID 35031930›Full record

ArticleEnvironmental monitoring and assessment2022

Remotely sensed image interpretation for assessment of land use land cover changes and settlement impact on allocated irrigation water in Multan, Pakistan.

Maira Naeem, Hafiz Umar Farid, Muhammad Arbaz Madni, Rameez Ahsen, Zahid Mehmood Khan, Aqsa Dilshad, Huzaifa Shahzad

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Article in Environmental monitoring and assessment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Maira NaeemDepartment of Agricultural Engineering, Bahauddin Zakariya University, Multan, 60800, Pakistan. mairanaeem320@gmail.com.
Hafiz Umar FaridDepartment of Agricultural Engineering, Bahauddin Zakariya University, Multan, 60800, Pakistan. hufarid@bzu.edu.pk.ORCID http://orcid.org/0000-0001-7747-6240
Muhammad Arbaz MadniInstitute of Environmental Engineering and Research (IEER), University of Engineering and Technology Lahore, Lahore, 54890, Pakistan.
Rameez AhsenDepartment of Agricultural Engineering, Bahauddin Zakariya University, Multan, 60800, Pakistan.
Zahid Mehmood KhanDepartment of Agricultural Engineering, Bahauddin Zakariya University, Multan, 60800, Pakistan.
Aqsa DilshadDepartment of Agricultural Engineering, Bahauddin Zakariya University, Multan, 60800, Pakistan.
Huzaifa ShahzadDepartment of Agricultural Engineering, Bahauddin Zakariya University, Multan, 60800, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Industrial revolution and rapid population growth are responsible for alteration of land into different settlements. These changes may lead to change in land use (LU) and land cover (LC). The LULC changes have impact on hydrological regimes including streams flow pattern and allocated irrigation water (water allocation through Warabandi system). The present study aimed to identify the LULC changes and settlement impact on allocated water using the unsupervised classification and normalized difference vegetation index (NDVI) of Landsat images for the years of 1990 to 2020 in Multan District. The accuracy assessment and Kappa coefficient were also investigated to evaluate quality of results derived from the classified images. The results show that the reduction in waterbody, spare, and dense vegetation was -7.6, -1.7, and -30.7%, respectively. The settlements, barren, and crop lands have increased to 25.2, 10.1, and 4.6%, respectively, from 1990 to 2020. The values of kappa coefficient (0.84-0.85) showed very good level of classification. In addition, the volume of water loss due to change of LULC from waterbody into settlements, barren land, crop land, spare, and dense vegetation was found approximately 472, 44, 133, 54, and 85 m

Indexed as

Environmental MonitoringUrbanizationAgriculturePakistanWaterWaterAccuracy assessmentAllocated waterLULCRemotely sensed imageSettlements

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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.