Urban and peri-urban agriculture in developing countries studied using remote sensing and insitu methods

dc.contributor.authorAppeaning A.K.
dc.date.accessioned2012-05-08T16:31:11Z
dc.date.accessioned2017-10-14T12:15:09Z
dc.date.available2012-05-08T16:31:11Z
dc.date.available2017-10-14T12:15:09Z
dc.date.issued2010
dc.description.abstractUrban farming, practiced by about 800 million people globally, has contributed significantly to food security and food safety. The practice has sustained livelihood of the urban and peri-urban low income dwellers in developing countries for many years. Its popularity among the urban low income in largely due to lack of formal jobs and as a means of adding up to household income. There is increasing need to sustainably manage urban farming in developing nations in recent times. Population increase due to rural-urban migration and natural, coupled with infrastructure developments are competing with urban farming for available space and scarce resources such as water for irrigation. Lack of reliable data on the extent of urban urban/peri-urban areas being used for farming has affected developing sustainable policies to manage urban farming in Accra. Using ground based survey methods to map the urban farmlands are inherently problematic and prohibitively expensive. This has influenced accurate assessment of the future role of urban farming in enhancing food security. Remote sensing, however, allows areas being used as urban farmlands to be rapidly established at relatively low cost. This paper will review advances in the use of remote sensing technology to develop an integrated monitoring technique for urban farmlands in Accra.en_US
dc.identifier.urihttp://197.255.68.203/handle/123456789/1170
dc.language.isoenen_US
dc.publisherJournal of Remote Sensing (2): 497-513en_US
dc.subjectUrban/peri-urban farmingen_US
dc.subjectfood securityen_US
dc.subjectremote sensingen_US
dc.subjectsustainable monitoringen_US
dc.subjectAccra-Ghanaen_US
dc.titleUrban and peri-urban agriculture in developing countries studied using remote sensing and insitu methodsen_US
dc.typeArticleen_US

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