%0 Journal Article
%T Mapping and Characterizing the Green Belt of C車rdoba: Land Dynamics and the Urban-rural Transformation Process - Mapping and Characterizing the Green Belt of C車rdoba: Land Dynamics and the Urban-rural Transformation Process - Open Access Pub
%A Alejandro Benitez
%A Beatriz Giobellina
%A Nicol芍s A. Mari
%A Victoria Marinelli
%J OAP | Home | Journal of Agronomy Research | Open Access Pub
%D 2018
%X In C車rdoba, Argentina, the peri-urban horticulture is in conflict with industrial agriculture and urban development. This problem is partly due to urban expansion to rural areas occurred in the last years and to monoculture farming, which has replaced traditional fruit and vegetable cropping in the region. This transformation process has raised concern about the current and future availability of productive sectors that can sustain food supply within the city boundaries and its immediate surroundings as well as about the loss of ecosystem services associated with peri-urban natural environments. Although these dynamic processes are well known, they have not been described or quantified in C車rdoba. Baseline information about land use and its dynamics in productive areas or about number of producers is insufficient and/or out of date. At O-AUPA (Spanish acronym for Observatory of Urban and Peri-urban Agriculture and Agroecology) different mapping strategies are developed to contribute to the understanding of the land dynamics in the Green Belt of C車rdoba (GBC) and the rural environments surrounding the city. In this work, we present a method based on the use of remote sensing and geographical information systems to characterize urban, peri-urban and rural areas of C車rdoba city with the aim of evaluating the temporal dynamics of urban growth and the current state of land use and cover. We mapped and quantified the urban growth between 1974 and 2014, and evaluated land use in peri-urban and rural areas in 2015. We used satellite information from Landsat TM 5 to map the urban growth via a principal component analysis (PCA) and SPOT 5 imagery to characterize the current land use and land cover with the support vector machine classification algorithm. The results show an urban area growth of 46.5% over almost 40 years within the boundaries of the Capital department. Farm plot size increased, showing a concentration of land ownership, implying a reduced number of producers. Evidence indicates the importance of defining land planning guidelines that limit the advance of the urban frontier to valuable agricultural systems, ensure diversification of productive activities and protect and develop the fresh food production systems at the local level. DOI10.14302/issn.2639-3166.jar-19-2785 Land use planning, is a crucial process that requires that social actors assemble knowledge of the strategic variables generated by the complex dynamics and changes in the biophysical, socioeconomic, cultural, technological, and political situation in a territory. Awareness of the
%U https://www.openaccesspub.org/jar/article/1102