The estimate of topographical variables for soil erosion modelling through geoprocessing
Autor(a) principal: | |
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Data de Publicação: | 2000 |
Outros Autores: | |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/232092 |
Resumo: | : The technical requirements for geoprocessing of topographical data were studied, from digitizing until the obtention of the topographical factor of the Universal Soil Loss Equation (USLE), through calculation of slope (angle) and length. The development of the methods were based on data from manual cartographic survey and geographical information system (GIS) results of Sao Joaquim creek watershed (Pirassununga, SP, Brazil). A preliminary study, on the spatial behavior of the variables, their relations to local relief and to the topographical factor sensibility supported the selection of geoprocessing optimal procedures and parameters to achieve the maximum quality of the generated digital terrain models (DTM), and therefore, of all GIS results. Tests with the slope calculation indicated the need of high resolution, and the importance of post-processing (smoothing) and numerical fit. A method to obtain slope length was developed using spatial analysis functions of GIS. Results of the anisotropic cost analysis were correlated to measureed length, requiring linear fit. Errors for digital estimates prevailed in steep relief areas. |
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Repositório Institucional da UNESP |
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The estimate of topographical variables for soil erosion modelling through geoprocessingAgricultureDtm/dem/dsmGISInformation extractionModel-based processingRasterSoil conservationWatersheds: The technical requirements for geoprocessing of topographical data were studied, from digitizing until the obtention of the topographical factor of the Universal Soil Loss Equation (USLE), through calculation of slope (angle) and length. The development of the methods were based on data from manual cartographic survey and geographical information system (GIS) results of Sao Joaquim creek watershed (Pirassununga, SP, Brazil). A preliminary study, on the spatial behavior of the variables, their relations to local relief and to the topographical factor sensibility supported the selection of geoprocessing optimal procedures and parameters to achieve the maximum quality of the generated digital terrain models (DTM), and therefore, of all GIS results. Tests with the slope calculation indicated the need of high resolution, and the importance of post-processing (smoothing) and numerical fit. A method to obtain slope length was developed using spatial analysis functions of GIS. Results of the anisotropic cost analysis were correlated to measureed length, requiring linear fit. Errors for digital estimates prevailed in steep relief areas.Agronomic Institute of São PauloSão Paulo State UniversitySão Paulo State UniversityAgronomic Institute of São PauloUniversidade Estadual Paulista (UNESP)De Morisson Valeriano, MárcioGarcia, Gilberto José [UNESP]2022-04-29T08:48:57Z2022-04-29T08:48:57Z2000-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject678-685International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 33, p. 678-685.1682-1750http://hdl.handle.net/11449/2320922-s2.0-84865018325Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archivesinfo:eu-repo/semantics/openAccess2022-04-29T08:48:57Zoai:repositorio.unesp.br:11449/232092Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-29T08:48:57Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
The estimate of topographical variables for soil erosion modelling through geoprocessing |
title |
The estimate of topographical variables for soil erosion modelling through geoprocessing |
spellingShingle |
The estimate of topographical variables for soil erosion modelling through geoprocessing De Morisson Valeriano, Márcio Agriculture Dtm/dem/dsm GIS Information extraction Model-based processing Raster Soil conservation Watersheds |
title_short |
The estimate of topographical variables for soil erosion modelling through geoprocessing |
title_full |
The estimate of topographical variables for soil erosion modelling through geoprocessing |
title_fullStr |
The estimate of topographical variables for soil erosion modelling through geoprocessing |
title_full_unstemmed |
The estimate of topographical variables for soil erosion modelling through geoprocessing |
title_sort |
The estimate of topographical variables for soil erosion modelling through geoprocessing |
author |
De Morisson Valeriano, Márcio |
author_facet |
De Morisson Valeriano, Márcio Garcia, Gilberto José [UNESP] |
author_role |
author |
author2 |
Garcia, Gilberto José [UNESP] |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Agronomic Institute of São Paulo Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
De Morisson Valeriano, Márcio Garcia, Gilberto José [UNESP] |
dc.subject.por.fl_str_mv |
Agriculture Dtm/dem/dsm GIS Information extraction Model-based processing Raster Soil conservation Watersheds |
topic |
Agriculture Dtm/dem/dsm GIS Information extraction Model-based processing Raster Soil conservation Watersheds |
description |
: The technical requirements for geoprocessing of topographical data were studied, from digitizing until the obtention of the topographical factor of the Universal Soil Loss Equation (USLE), through calculation of slope (angle) and length. The development of the methods were based on data from manual cartographic survey and geographical information system (GIS) results of Sao Joaquim creek watershed (Pirassununga, SP, Brazil). A preliminary study, on the spatial behavior of the variables, their relations to local relief and to the topographical factor sensibility supported the selection of geoprocessing optimal procedures and parameters to achieve the maximum quality of the generated digital terrain models (DTM), and therefore, of all GIS results. Tests with the slope calculation indicated the need of high resolution, and the importance of post-processing (smoothing) and numerical fit. A method to obtain slope length was developed using spatial analysis functions of GIS. Results of the anisotropic cost analysis were correlated to measureed length, requiring linear fit. Errors for digital estimates prevailed in steep relief areas. |
publishDate |
2000 |
dc.date.none.fl_str_mv |
2000-01-01 2022-04-29T08:48:57Z 2022-04-29T08:48:57Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 33, p. 678-685. 1682-1750 http://hdl.handle.net/11449/232092 2-s2.0-84865018325 |
identifier_str_mv |
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 33, p. 678-685. 1682-1750 2-s2.0-84865018325 |
url |
http://hdl.handle.net/11449/232092 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
678-685 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1803650049429733376 |