FIRST LARGE EXTENT AND HIGH RESOLUTION CROPLAND AND CROP TYPE MAP OF ARGENTINA

The availability of spatially explicit information about agricultural crops for large regions in Argentina is scarce. In particular, due to temporal dynamics of agricultural production (i.e. changes in planted crops from year to year) and spectral similarities among herbaceous crops it is difficult...

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Bibliographic Details
Published in:International archives of the photogrammetry, remote sensing and spatial information sciences. remote sensing and spatial information sciences., 2020-11, Vol.XLII-3/W12-2020, p.165-169
Main Authors: de Abelleyra, D., Verón, S., Banchero, S., Mosciaro, M. J., Propato, T., Ferraina, A., Gómez Taffarel, M. C., Dacunto, L., Franzoni, A., Volante, J.
Format: Article
Language:English
Subjects:
Agricultural land
Agricultural production
Crops
Dynamics
Regions
Remote sensing
Spatial distribution
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Summary:The availability of spatially explicit information about agricultural crops for large regions in Argentina is scarce. In particular, due to temporal dynamics of agricultural production (i.e. changes in planted crops from year to year) and spectral similarities among herbaceous crops it is difficult to generate crop type maps from remote sensing. Large regions with marked climatic variations, like the main agricultural areas of Argentina, represent an additional challenge. Here we generated a map based on supervised classifications using field samples along 14 agricultural zones. Best classification accuracies were obtained by combining seasonal indices (year, summer and winter), with indices that describe the temporal dynamics of vegetation. Accuracy was increased at regions with high and balanced number of samples and with longer growing seasons. The map allows to identify areas with clusters of one, two or three crops and to characterize areas with different spatial distribution between cropland and no cropland areas.
ISSN:2194-9034
1682-1750
2194-9034
DOI:10.5194/isprs-archives-XLII-3-W12-2020-165-2020