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
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/7153
Ver los metadatos del registro completo
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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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1844619143722041344 |
score |
12.559606 |