Analysis of the spatial extension of pineapple monocultures in northern Costa Rica using heterogeneous geographic data

VIAF
300226984
ORCID
0000-0002-5920-939X
Affiliation
Applied Mathematics and Computer Science (AMIS), Expertise and Spatialisation of knowledge for Environment for Sustainable Development (ESPACE-DEV), University of Montpellier Paul-Valéry, Montpellier, Béziers, France
Girres, Jean-François;
GND
1242926615
VIAF
4601163464697105680001
ORCID
0000-0001-6870-8943
Affiliation
Universidad Nacional Autónoma de México, Mexico
Prunier, Delphine;
ORCID
0000-0001-5476-1575
Affiliation
Universidad de Costa Rica, San José, Costa Rica
Rodriguez Echavarria, Tania;
ORCID
0000-0001-6962-0134
Affiliation
SENS, IRD, CIRAD, University of Montpellier Paul-Valéry, Montpellier, Béziers, France
Pottier, Aurea;
ORCID
0000-0002-7199-0772
Affiliation
SENS, IRD, CIRAD, University of Montpellier Paul-Valéry, Montpellier, Béziers, France
Leonard, Eric;
Affiliation
Master Géomatique de Montpellier, Montpellier, France
Audic, Victor;
Affiliation
Master Géomatique de Montpellier, Montpellier, France
Hellard, Maelane;
Affiliation
Master Géomatique de Montpellier, Montpellier, France
Magnaudet, Jean-Albert

In recent years, Costa Rica has become the world's leading producer and exporter of pineapple, with more than 65.000 hectares of its territory dedicated to this crop. The development of these intensive pineapple crops is mainly concentrated in the north of the country, especially in the border area with Nicaragua. This rapid expansion in these regions has many economic, social and environmental consequences. In order to understand the local impact of this phenomenon, a first analysis of land use changes for the benefit of pineapple monocultures must be performed. For this purpose, pineapple crop delineation layers in 2000 and 2019 were provided by MOCUPP, a United Nations agency responsible for monitoring agricultural areas in Costa Rica. Landsat 5 satellite images from 1998 and 2001 were also used to generate land cover classifications. The pineapple crop delineation layers produced by MOCUPP are characterized by heterogeneous granularities and positional accuracies, complicating the analysis of land cover changes through the generation of artefacts. To address this problem, an artefact removal procedure was conducted, based on the use of minimum shape and size indicators. The assignment of land use changes to pineapple crops allowed the assessment of deforested areas between 2000 and 2019. Thus, over this period, more than 6300 hectares of forest were lost to pineapple crops, mainly in the cantons of Los Chiles and San Carlos, in the northern part of the country. Finally, this article illustrates the problems associated with the use of heterogeneous data to analyse land cover changes. To avoid these problems, the use of prior data integration procedures, such as data matching algorithms, is recommended.

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