Geospatial analysis of Musa acuminata cultivation using multi-temporal remote sensing – Uthal Balochistan

Climate change has made researchers realize there is a need to focus on crops consumed staple, including fruits. Uthal is the districts headquarter of Lasbela and has long been known for its valuable banana production. Due to scarcity of rainfall, aquifers are not recharging significantly, causing s...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of the Saudi Society of Agricultural Sciences 2024-09
Hauptverfasser: Hamza, Salma, Toheed, Muhammad, Mahmud, Shaista, Nawaz-ul-Huda, Syed
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title Journal of the Saudi Society of Agricultural Sciences
container_volume
creator Hamza, Salma
Toheed, Muhammad
Mahmud, Shaista
Nawaz-ul-Huda, Syed
description Climate change has made researchers realize there is a need to focus on crops consumed staple, including fruits. Uthal is the districts headquarter of Lasbela and has long been known for its valuable banana production. Due to scarcity of rainfall, aquifers are not recharging significantly, causing slow decrease in the Musa acuminate (common name banana) crop. Banana is a significant source of earnings for local cultivators. The primary objective of the present study is the fluctuation assessment of banana cultivation of Uthal. The methodology has been designed in three steps. The first was ground-truthing with the help of GPS survey of banana cultivation areas, the second, classification of greenery and banana crops based on Landsat 8 images via EVI and NDVI remote sensing tools. The third and last step was combined both data along with government published data for the accuracy assessment of banana cultivation areas. As per extracted results from NDVI, the share of banana total cultivated land of the study area has declined concerning the overall cultivated land of the study area which reduced from 1115 to 879 ha between 2013 and 2022. Results identified that the EVI-NDVI-GPS model is more significant for monitoring agricultural activities. The present study is an advanced contribution to the scientific field of Banana cultivation in Uthal.
doi_str_mv 10.1016/j.jssas.2024.09.004
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3153767548</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1658077X24000869</els_id><sourcerecordid>3153767548</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1764-b6684b23bdc5c8aaf589e33572f997bfd792bef2e3da058d617128e53aef96593</originalsourceid><addsrcrecordid>eNp9kL9OxDAMhzuABDp4ApaMLC1J0zTtwAAn_kkgFpDYIjd1IUfbHHGKxMY78IY8CT2OmcmS_fss-0uSI8EzwUV5sspWREBZzvMi43XGebGT7ItSVSnX-mkvOSRacc6FLlWh8v3k9Qo9rSE66BmM0H-QI-Y7djcRMLDT4EaIwOzUR_c-x_zIJnLjMxs2nTTisPZhZgMOPiIjHH-n359f7DG-zINz6L19cRRhPEh2O-gJD__qInm8vHhYXqe391c3y7Pb1M5nFWlTllXR5LJprbIVQKeqGqVUOu_qWjddq-u8wS5H2QJXVVsKLfIKlQTs6lLVcpEcb_eug3-bkKIZHFnsexjRT2SkUFKXWhXVHJXbqA2eKGBn1sENED6M4GZj1KzMr1GzMWp4bWajM3W6pXD-4t1hMGQdjhZbF9BG03r3L_8DwYWFSw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3153767548</pqid></control><display><type>article</type><title>Geospatial analysis of Musa acuminata cultivation using multi-temporal remote sensing – Uthal Balochistan</title><source>Elsevier ScienceDirect Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Hamza, Salma ; Toheed, Muhammad ; Mahmud, Shaista ; Nawaz-ul-Huda, Syed</creator><creatorcontrib>Hamza, Salma ; Toheed, Muhammad ; Mahmud, Shaista ; Nawaz-ul-Huda, Syed</creatorcontrib><description>Climate change has made researchers realize there is a need to focus on crops consumed staple, including fruits. Uthal is the districts headquarter of Lasbela and has long been known for its valuable banana production. Due to scarcity of rainfall, aquifers are not recharging significantly, causing slow decrease in the Musa acuminate (common name banana) crop. Banana is a significant source of earnings for local cultivators. The primary objective of the present study is the fluctuation assessment of banana cultivation of Uthal. The methodology has been designed in three steps. The first was ground-truthing with the help of GPS survey of banana cultivation areas, the second, classification of greenery and banana crops based on Landsat 8 images via EVI and NDVI remote sensing tools. The third and last step was combined both data along with government published data for the accuracy assessment of banana cultivation areas. As per extracted results from NDVI, the share of banana total cultivated land of the study area has declined concerning the overall cultivated land of the study area which reduced from 1115 to 879 ha between 2013 and 2022. Results identified that the EVI-NDVI-GPS model is more significant for monitoring agricultural activities. The present study is an advanced contribution to the scientific field of Banana cultivation in Uthal.</description><identifier>ISSN: 1658-077X</identifier><identifier>DOI: 10.1016/j.jssas.2024.09.004</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>agricultural land ; Balochistan ; Banana ; bananas ; climate change ; common names ; EVI ; Google Earth ; GPS ; Landsat ; Musa acuminata ; NDVI ; rain ; Remote Sensing ; surveys ; Uthal ; vegetation</subject><ispartof>Journal of the Saudi Society of Agricultural Sciences, 2024-09</ispartof><rights>2024 The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1764-b6684b23bdc5c8aaf589e33572f997bfd792bef2e3da058d617128e53aef96593</cites><orcidid>0009-0003-3312-7446 ; 0000-0002-9544-6886</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jssas.2024.09.004$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,45976</link.rule.ids></links><search><creatorcontrib>Hamza, Salma</creatorcontrib><creatorcontrib>Toheed, Muhammad</creatorcontrib><creatorcontrib>Mahmud, Shaista</creatorcontrib><creatorcontrib>Nawaz-ul-Huda, Syed</creatorcontrib><title>Geospatial analysis of Musa acuminata cultivation using multi-temporal remote sensing – Uthal Balochistan</title><title>Journal of the Saudi Society of Agricultural Sciences</title><description>Climate change has made researchers realize there is a need to focus on crops consumed staple, including fruits. Uthal is the districts headquarter of Lasbela and has long been known for its valuable banana production. Due to scarcity of rainfall, aquifers are not recharging significantly, causing slow decrease in the Musa acuminate (common name banana) crop. Banana is a significant source of earnings for local cultivators. The primary objective of the present study is the fluctuation assessment of banana cultivation of Uthal. The methodology has been designed in three steps. The first was ground-truthing with the help of GPS survey of banana cultivation areas, the second, classification of greenery and banana crops based on Landsat 8 images via EVI and NDVI remote sensing tools. The third and last step was combined both data along with government published data for the accuracy assessment of banana cultivation areas. As per extracted results from NDVI, the share of banana total cultivated land of the study area has declined concerning the overall cultivated land of the study area which reduced from 1115 to 879 ha between 2013 and 2022. Results identified that the EVI-NDVI-GPS model is more significant for monitoring agricultural activities. The present study is an advanced contribution to the scientific field of Banana cultivation in Uthal.</description><subject>agricultural land</subject><subject>Balochistan</subject><subject>Banana</subject><subject>bananas</subject><subject>climate change</subject><subject>common names</subject><subject>EVI</subject><subject>Google Earth</subject><subject>GPS</subject><subject>Landsat</subject><subject>Musa acuminata</subject><subject>NDVI</subject><subject>rain</subject><subject>Remote Sensing</subject><subject>surveys</subject><subject>Uthal</subject><subject>vegetation</subject><issn>1658-077X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kL9OxDAMhzuABDp4ApaMLC1J0zTtwAAn_kkgFpDYIjd1IUfbHHGKxMY78IY8CT2OmcmS_fss-0uSI8EzwUV5sspWREBZzvMi43XGebGT7ItSVSnX-mkvOSRacc6FLlWh8v3k9Qo9rSE66BmM0H-QI-Y7djcRMLDT4EaIwOzUR_c-x_zIJnLjMxs2nTTisPZhZgMOPiIjHH-n359f7DG-zINz6L19cRRhPEh2O-gJD__qInm8vHhYXqe391c3y7Pb1M5nFWlTllXR5LJprbIVQKeqGqVUOu_qWjddq-u8wS5H2QJXVVsKLfIKlQTs6lLVcpEcb_eug3-bkKIZHFnsexjRT2SkUFKXWhXVHJXbqA2eKGBn1sENED6M4GZj1KzMr1GzMWp4bWajM3W6pXD-4t1hMGQdjhZbF9BG03r3L_8DwYWFSw</recordid><startdate>20240916</startdate><enddate>20240916</enddate><creator>Hamza, Salma</creator><creator>Toheed, Muhammad</creator><creator>Mahmud, Shaista</creator><creator>Nawaz-ul-Huda, Syed</creator><general>Elsevier B.V</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0009-0003-3312-7446</orcidid><orcidid>https://orcid.org/0000-0002-9544-6886</orcidid></search><sort><creationdate>20240916</creationdate><title>Geospatial analysis of Musa acuminata cultivation using multi-temporal remote sensing – Uthal Balochistan</title><author>Hamza, Salma ; Toheed, Muhammad ; Mahmud, Shaista ; Nawaz-ul-Huda, Syed</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1764-b6684b23bdc5c8aaf589e33572f997bfd792bef2e3da058d617128e53aef96593</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>agricultural land</topic><topic>Balochistan</topic><topic>Banana</topic><topic>bananas</topic><topic>climate change</topic><topic>common names</topic><topic>EVI</topic><topic>Google Earth</topic><topic>GPS</topic><topic>Landsat</topic><topic>Musa acuminata</topic><topic>NDVI</topic><topic>rain</topic><topic>Remote Sensing</topic><topic>surveys</topic><topic>Uthal</topic><topic>vegetation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hamza, Salma</creatorcontrib><creatorcontrib>Toheed, Muhammad</creatorcontrib><creatorcontrib>Mahmud, Shaista</creatorcontrib><creatorcontrib>Nawaz-ul-Huda, Syed</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Journal of the Saudi Society of Agricultural Sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hamza, Salma</au><au>Toheed, Muhammad</au><au>Mahmud, Shaista</au><au>Nawaz-ul-Huda, Syed</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Geospatial analysis of Musa acuminata cultivation using multi-temporal remote sensing – Uthal Balochistan</atitle><jtitle>Journal of the Saudi Society of Agricultural Sciences</jtitle><date>2024-09-16</date><risdate>2024</risdate><issn>1658-077X</issn><abstract>Climate change has made researchers realize there is a need to focus on crops consumed staple, including fruits. Uthal is the districts headquarter of Lasbela and has long been known for its valuable banana production. Due to scarcity of rainfall, aquifers are not recharging significantly, causing slow decrease in the Musa acuminate (common name banana) crop. Banana is a significant source of earnings for local cultivators. The primary objective of the present study is the fluctuation assessment of banana cultivation of Uthal. The methodology has been designed in three steps. The first was ground-truthing with the help of GPS survey of banana cultivation areas, the second, classification of greenery and banana crops based on Landsat 8 images via EVI and NDVI remote sensing tools. The third and last step was combined both data along with government published data for the accuracy assessment of banana cultivation areas. As per extracted results from NDVI, the share of banana total cultivated land of the study area has declined concerning the overall cultivated land of the study area which reduced from 1115 to 879 ha between 2013 and 2022. Results identified that the EVI-NDVI-GPS model is more significant for monitoring agricultural activities. The present study is an advanced contribution to the scientific field of Banana cultivation in Uthal.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.jssas.2024.09.004</doi><orcidid>https://orcid.org/0009-0003-3312-7446</orcidid><orcidid>https://orcid.org/0000-0002-9544-6886</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1658-077X
ispartof Journal of the Saudi Society of Agricultural Sciences, 2024-09
issn 1658-077X
language eng
recordid cdi_proquest_miscellaneous_3153767548
source Elsevier ScienceDirect Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
subjects agricultural land
Balochistan
Banana
bananas
climate change
common names
EVI
Google Earth
GPS
Landsat
Musa acuminata
NDVI
rain
Remote Sensing
surveys
Uthal
vegetation
title Geospatial analysis of Musa acuminata cultivation using multi-temporal remote sensing – Uthal Balochistan
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T13%3A23%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Geospatial%20analysis%20of%20Musa%20acuminata%20cultivation%20using%20multi-temporal%20remote%20sensing%20%E2%80%93%20Uthal%20Balochistan&rft.jtitle=Journal%20of%20the%20Saudi%20Society%20of%20Agricultural%20Sciences&rft.au=Hamza,%20Salma&rft.date=2024-09-16&rft.issn=1658-077X&rft_id=info:doi/10.1016/j.jssas.2024.09.004&rft_dat=%3Cproquest_cross%3E3153767548%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3153767548&rft_id=info:pmid/&rft_els_id=S1658077X24000869&rfr_iscdi=true