dc.creatorBarker B., Becker-Reshef I.
dc.creatorOliva, Patricia [Hemera Centro de Observación de la Tierra, Facultad de Ciencias, Universidad Mayor, Chile]
dc.date.accessioned2020-08-12T14:11:55Z
dc.date.accessioned2020-08-12T19:30:40Z
dc.date.accessioned2022-10-18T18:42:21Z
dc.date.available2020-08-12T14:11:55Z
dc.date.available2020-08-12T19:30:40Z
dc.date.available2022-10-18T18:42:21Z
dc.date.created2020-08-12T14:11:55Z
dc.date.created2020-08-12T19:30:40Z
dc.date.issued2018
dc.identifierP. Oliva, B. Barker and I. Becker-Reshef, "Geoglam Best Available Crop-Specific Global Maps: Strengths and Limitations," IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, 2018, pp. 8183-8186, doi: 10.1109/IGARSS.2018.8518815.
dc.identifierhttps://doi.org/10.1109/IGARSS.2018.8518815
dc.identifierhttps://doi.org/10.1109/IGARSS.2018.8518815
dc.identifierhttp://repositorio.umayor.cl/xmlui/handle/sibum/6978
dc.identifierDOI: 10.1109/IGARSS.2018.8518815
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4454815
dc.description.abstractAn accurate global map of current cropland is needed to tackle the agricultural challenges of the next decades. Several remote sensing products have provided with global cropland maps. To create the GEOGLAM best available global crop-specific maps, we integrated the SPAM 2005 with regional maps developed by different countries and international organisms. The comparison with other available global cropland products showed a clear linear agreement between products and a tendency towards overestimation of GEOGLAM best available global crop-specific maps. In addition, a sensitivity analysis was performed using the forecast production model for winter wheat developed in previous studies. It showed how at constant values of adjusted NDVI small variations of cultivated area (5000 ha) produced a 17% rate of variation in the estimated production values.
dc.languageen
dc.publisherIEEE
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
dc.titleGeoglam best available crop-specific global maps: Strengths and limitations
dc.typeArtículos de revistas


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