Quantifying irrigation water demand and supply gap using remote sensing and GIS in Multan, Pakistan.

Haseeb, Muhammad; Farid, Hafiz Umar; Khan, Zahid Mahmood; Anjum, Muhammad Naveed; Ahmad, Akhlaq; Mubeen, Muhammad

Haseeb, Muhammad; Farid, Hafiz Umar; Khan, Zahid Mahmood; Anjum, Muhammad Naveed; Ahmad, Akhlaq; Mubeen, Muhammad.

Afiliación

Haseeb M; Department of Agricultural Engineering, Bahauddin Zakariya University, Multan, 60800, Pakistan.
Farid HU; Department of Agricultural Engineering, Bahauddin Zakariya University, Multan, 60800, Pakistan. hufarid@bzu.edu.pk.
Khan ZM; Department of Agricultural Engineering, Bahauddin Zakariya University, Multan, 60800, Pakistan.
Anjum MN; Department of Land and Water Conservation Engineering, Faculty of Agricultural Engineering & Technology, PMAS Arid Agriculture University, Rawalpindi, 46000, Pakistan.
Ahmad A; Department of Mechanical Engineering, Bahauddin Zakariya University, Multan, 60800, Pakistan.
Mubeen M; Department of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Pakistan.

Environ Monit Assess ; 195(8): 990, 2023 Jul 25.

Article en En | MEDLINE | ID: mdl-37491409

Asunto(s)

Sistemas de Información Geográfica; Tecnología de Sensores Remotos; Humanos; Pakistán; Monitoreo del Ambiente/métodos; Urbanización; Grano Comestible; Conservación de los Recursos Naturales

Palabras clave

Demand and supply gap; LULC; Remotely sensed images; Water resources

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Sistemas de Información Geográfica / Tecnología de Sensores Remotos Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Environ Monit Assess Asunto de la revista: SAUDE AMBIENTAL Año: 2023 Tipo del documento: Article País de afiliación: Pakistán

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