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resumen

Resumen
Ranging is the most important single agricultural activity in the department of Empedrado, in the province of Corrientes, Argentina. The present study focuses on three issues (i) the classification of land cover types, (ii) the evaluation of range intensity use and (iii) the estimation of aboveground biomass. First, a multi-temporal Landsat image analysis, including supervised classification and ancillary data, was used to enable an accurate land cover [ver mas...]
dc.contributor.advisorSchellberg, Jürgen
dc.contributor.advisorBraun, Matthias
dc.contributor.authorKurtz, Ditmar Bernardo
dc.date.accessioned2020-04-27T15:07:59Z
dc.date.available2020-04-27T15:07:59Z
dc.date.issued2007-01
dc.identifier.urihttp://hdl.handle.net/20.500.12123/7153
dc.descriptionTesis para obtener el grado de Master of Science, de la Rheinische Friedrich-Wilhelms-Universität zu Bonn, en enero de 2007es_AR
dc.description.abstractRanging is the most important single agricultural activity in the department of Empedrado, in the province of Corrientes, Argentina. The present study focuses on three issues (i) the classification of land cover types, (ii) the evaluation of range intensity use and (iii) the estimation of aboveground biomass. First, a multi-temporal Landsat image analysis, including supervised classification and ancillary data, was used to enable an accurate land cover classification. Second, by plotting historical biomass information and Landsat calculated NDVI, a simple regression model was calculated. Third, with the previous land cover information and statistical, up to date stocking rates were calculated. By comparing radiometrically normalised and not normalised images it could be demonstrated that imagery normalization was not always necessary, when comparing NDVI values. Regarding biomass estimation, neither a simple nor an averaged point approach provided accurate results. The inverted distance weighted interpolation method showed better biomass estimates in per-humid grasslands. Two maps were achieved for Empedrado, one 26-class land cover map and one 8-class land grazing intensity map. The classification accuracy strongly relied on ancillary GIS based information. The resulting maps showed that intensive grassland use was the most common vegetation on the hills, whereas not intensively used and burned areas were prevailing on the plains. The calculation stocking rates of grasslands with Landsat images was possible as long as additional statistical data were available.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherFaculty of Agriculture, Universität zu Bonnes_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subjectTierras de Pastoses_AR
dc.subjectRangelandseng
dc.subjectPastizaleses_AR
dc.subjectPastureseng
dc.subjectTeledetecciónes_AR
dc.subjectRemote Sensingeng
dc.subjectPraderases_AR
dc.subjectGrasslandseng
dc.subjectImágenes por Satéliteses_AR
dc.subjectSatellite Imageryeng
dc.subjectArgentinaes_AR
dc.subject.otherEmpedrado, Corrienteses_AR
dc.titleGround and satellite based detection of rangeland management in per humid grasslands of Argentinaes_AR
dc.typeinfo:ar-repo/semantics/tesis de maestríaes_AR
dc.typeinfo:eu-repo/semantics/masterThesises_AR
dc.typeinfo:eu-repo/semantics/acceptedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.description.origenEEA Corrienteses_AR
dc.description.filFil: Kurtz, Ditmar Bernardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Corrientes; Argentina.es_AR


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