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Resumen
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
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dc.contributor.author | De Abelleyra, Diego | |
dc.contributor.author | Veron, Santiago Ramón | |
dc.contributor.author | Banchero, Santiago | |
dc.contributor.author | Mosciaro, Maria Jesus | |
dc.contributor.author | Propato, Tamara Sofia | |
dc.contributor.author | Ferraina, Antonella | |
dc.contributor.author | Gómez Taffarel, Maria Cielo | |
dc.contributor.author | Dacunto, Luciana | |
dc.contributor.author | Franzoni, Agustin | |
dc.contributor.author | Volante, Jose Norberto | |
dc.date.accessioned | 2023-04-20T12:19:08Z | |
dc.date.available | 2023-04-20T12:19:08Z | |
dc.date.issued | 2020-03-22 | |
dc.identifier.other | https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-165-2020 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12123/14533 | |
dc.identifier.uri | https://isprs-archives.copernicus.org/articles/XLII-3-W12-2020/165/2020/ | |
dc.description | Trabajo presentado al 2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS 2020), 22–26 March 2020, Santiago, Chile. | |
dc.description.abstract | 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. | eng |
dc.format | application/pdf | es_AR |
dc.language.iso | eng | es_AR |
dc.publisher | International Society of Photogrammetry and Remote Sensing | es_AR |
dc.rights | info:eu-repo/semantics/openAccess | es_AR |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | es_AR |
dc.source | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-3/W12-2020 (2020) | es_AR |
dc.subject | Cultivos | es_AR |
dc.subject | Crops | eng |
dc.subject | Tierras Agrícolas | es_AR |
dc.subject | Farmland | eng |
dc.subject | Argentina | es_AR |
dc.subject | Teledetección | |
dc.subject | Remote Sensing | eng |
dc.title | First Large Extent and High Resolution Cropland and Crop Type Map of Argentina | es_AR |
dc.type | info:ar-repo/semantics/artículo | es_AR |
dc.type | info:eu-repo/semantics/article | es_AR |
dc.type | info:eu-repo/semantics/publishedVersion | es_AR |
dc.rights.license | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) | es_AR |
dc.description.origen | EEA Salta. | es_AR |
dc.description.fil | Fil: De Abelleyra, Diego. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina | es_AR |
dc.description.fil | Fil: Veron, Santiago Ramón. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos; Argentina. | es_AR |
dc.description.fil | Fil: Banchero, Santiago. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina | es_AR |
dc.description.fil | Fil: Mosciaro, Maria Jesus. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Salta; Argentina | es_AR |
dc.description.fil | Fil: Propato, Tamara. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. | es_AR |
dc.description.fil | Fil: Ferraina, Antonela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. | es_AR |
dc.description.fil | Fil: Gomez Taffarel, Maria Cielo. Actividad privada; Argentina. | es_AR |
dc.description.fil | Fil: Dacunto, Luciana. Actividad privada; Argentina. | es_AR |
dc.description.fil | Fil: Franzoni, Agustin. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Salta; Argentina | es_AR |
dc.description.fil | Fil: Volante, Jose Norberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Salta; Argentina | es_AR |
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