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Is remote sensing useful for finding and monitoring urban farms?

Is remote sensing useful for finding and monitoring urban farms?

Brown, M.E. ORCID: 0000-0001-7384-3314 and McCarty, J.L. (2017) Is remote sensing useful for finding and monitoring urban farms? Applied Geography, 80. pp. 23-33. ISSN 0143-6228 (doi:https://doi.org/10.1016/j.apgeog.2017.01.008)

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Abstract

As the world becomes increasingly urbanized, the need for fresh fruits and vegetables in urban areas grows while the difficulty of bringing these perishable products to these areas also increases. Small-scale agriculture located in urban areas is a highly effective and profitable way to provide these products to communities that are far from extensive commercial agricultural areas. Here we describe how remote sensing can be used with data mining approaches to monitor urban and peri-urban farms within cities in both developed and developing countries. Using very high resolution satellite imagery together with moderate and coarse resolution imagery and information from social media and the web, we analyze the usefulness of different methods to identify farms within urban boundaries in four countries. The analysis shows how a mixed-method approach is necessary in order to identify where urban farming is occurring and to monitor its change through time. Although remote sensing-based vegetation and water indices were useful, without ancillary data they are not effective at remotely mapping the locations of urban farms. However, remote sensing is a good way to monitor vegetation condition in locations where actively managed urban farms are known to exist.

Item Type: Article
Uncontrolled Keywords: urban and peri-urban agriculture, very high resolution imagery, MODIS, Landsat, Dakar, Harare, Detroit, Ho Chi Minh City
Subjects: S Agriculture > S Agriculture (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Natural Resources Institute
Faculty of Engineering & Science > Natural Resources Institute > Food & Markets Department
Last Modified: 27 Jul 2020 14:39
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/28474

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