Ground and satellite based detection of rangeland management in per humid grasslands of Argentina

Autores
Kurtz, Ditmar Bernardo
Año de publicación
2007
Idioma
inglés
Tipo de recurso
tesis de maestría
Estado
versión aceptada
Colaborador/a o director/a de tesis
Schellberg, Jürgen
Braun, Matthias
Descripción
Tesis para obtener el grado de Master of Science, de la Rheinische Friedrich-Wilhelms-Universität zu Bonn, en enero de 2007
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 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.
EEA Corrientes
Fil: Kurtz, Ditmar Bernardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Corrientes; Argentina.
Materia
Tierras de Pastos
Pastizales
Teledetección
Praderas
Imágenes por Satélites
Argentina
Rangelands
Pastures
Remote Sensing
Grasslands
Satellite Imagery
Empedrado, Corrientes
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/7153

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oai_identifier_str oai:localhost:20.500.12123/7153
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network_name_str INTA Digital (INTA)
spelling Ground and satellite based detection of rangeland management in per humid grasslands of ArgentinaKurtz, Ditmar BernardoTierras de PastosPastizalesTeledetecciónPraderasImágenes por SatélitesArgentinaRangelandsPasturesRemote SensingGrasslandsSatellite ImageryEmpedrado, CorrientesTesis para obtener el grado de Master of Science, de la Rheinische Friedrich-Wilhelms-Universität zu Bonn, en enero de 2007Ranging 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.EEA CorrientesFil: Kurtz, Ditmar Bernardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Corrientes; Argentina.Faculty of Agriculture, Universität zu BonnSchellberg, JürgenBraun, Matthias2020-04-27T15:07:59Z2020-04-27T15:07:59Z2007-01info:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_bdccinfo:ar-repo/semantics/tesisDeMaestriaapplication/pdfhttp://hdl.handle.net/20.500.12123/7153enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuaria2025-09-29T13:44:55Zoai:localhost:20.500.12123/7153instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:44:56.154INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Ground and satellite based detection of rangeland management in per humid grasslands of Argentina
title Ground and satellite based detection of rangeland management in per humid grasslands of Argentina
spellingShingle Ground and satellite based detection of rangeland management in per humid grasslands of Argentina
Kurtz, Ditmar Bernardo
Tierras de Pastos
Pastizales
Teledetección
Praderas
Imágenes por Satélites
Argentina
Rangelands
Pastures
Remote Sensing
Grasslands
Satellite Imagery
Empedrado, Corrientes
title_short Ground and satellite based detection of rangeland management in per humid grasslands of Argentina
title_full Ground and satellite based detection of rangeland management in per humid grasslands of Argentina
title_fullStr Ground and satellite based detection of rangeland management in per humid grasslands of Argentina
title_full_unstemmed Ground and satellite based detection of rangeland management in per humid grasslands of Argentina
title_sort Ground and satellite based detection of rangeland management in per humid grasslands of Argentina
dc.creator.none.fl_str_mv Kurtz, Ditmar Bernardo
author Kurtz, Ditmar Bernardo
author_facet Kurtz, Ditmar Bernardo
author_role author
dc.contributor.none.fl_str_mv Schellberg, Jürgen
Braun, Matthias
dc.subject.none.fl_str_mv Tierras de Pastos
Pastizales
Teledetección
Praderas
Imágenes por Satélites
Argentina
Rangelands
Pastures
Remote Sensing
Grasslands
Satellite Imagery
Empedrado, Corrientes
topic Tierras de Pastos
Pastizales
Teledetección
Praderas
Imágenes por Satélites
Argentina
Rangelands
Pastures
Remote Sensing
Grasslands
Satellite Imagery
Empedrado, Corrientes
dc.description.none.fl_txt_mv Tesis para obtener el grado de Master of Science, de la Rheinische Friedrich-Wilhelms-Universität zu Bonn, en enero de 2007
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 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.
EEA Corrientes
Fil: Kurtz, Ditmar Bernardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Corrientes; Argentina.
description Tesis para obtener el grado de Master of Science, de la Rheinische Friedrich-Wilhelms-Universität zu Bonn, en enero de 2007
publishDate 2007
dc.date.none.fl_str_mv 2007-01
2020-04-27T15:07:59Z
2020-04-27T15:07:59Z
dc.type.none.fl_str_mv info:eu-repo/semantics/masterThesis
info:eu-repo/semantics/acceptedVersion
http://purl.org/coar/resource_type/c_bdcc
info:ar-repo/semantics/tesisDeMaestria
format masterThesis
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/7153
url http://hdl.handle.net/20.500.12123/7153
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Faculty of Agriculture, Universität zu Bonn
publisher.none.fl_str_mv Faculty of Agriculture, Universität zu Bonn
dc.source.none.fl_str_mv reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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