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Revista Chapingo serie ciencias forestales y del ambiente
versión On-line ISSN 2007-4018versión impresa ISSN 2007-3828
Resumen
GUEVARA-OCHOA, Cristian et al. A methodology for the characterization of land use using medium-resolution spatial images. Rev. Chapingo ser. cienc. for. ambient [online]. 2018, vol.24, n.2, pp.207-218. ISSN 2007-4018. https://doi.org/10.5154/r.rchscfa.2017.10.061.
Introduction:
The characterization of land uses represents one of the essential inputs for the management of natural resources at different scales.
Objective:
To develop a methodology to characterize land use in the upper creek basin from the Azul stream (Buenos Aires, Argentina), through the fusion of satellite images with a medium spatial resolution.
Materials and methods:
A time-series of 23 images was used from the Normalized Difference Vegetation Index (NDVI) of the MODIS-Terra satellite (product MOD13Q1) for the period May 2015 - May 2016. Landsat 8 images were used to discriminate some categories difficult to classify with NDVI-MODIS. The final cover map was validated regarding verification points independent to the classification process; its accuracy was evaluated by means of the Kappa statistic.
Results and discussion:
The NDVI time series allowed to recognize the phenological patterns of the covers and land use of greater representativeness in the region. Seven land cover were discriminated; the agricultural uses represented 81.5 % of the surface, double-crop wheat-soya (soybean in Argentina) system predominated (39.4 %). The overall accuracy of the final map was high (88.9 %, Kappa coefficient = 0.86).
Conclusion:
The methodology used has the advantage of being quick and replicable, to characterize the land uses of a given region and to evaluate its potential changes over time.
Palabras llave : Remote sensing; NDVI series; MODIS satellite; Landsat satellite; phenological signature.