dc.contributorAgronomic Institute of São Paulo
dc.contributorUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-29T08:48:57Z
dc.date.accessioned2022-12-20T03:23:55Z
dc.date.available2022-04-29T08:48:57Z
dc.date.available2022-12-20T03:23:55Z
dc.date.created2022-04-29T08:48:57Z
dc.date.issued2000-01-01
dc.identifierInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 33, p. 678-685.
dc.identifier1682-1750
dc.identifierhttp://hdl.handle.net/11449/232092
dc.identifier2-s2.0-84865018325
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5412226
dc.description.abstract: 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.
dc.languageeng
dc.relationInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
dc.sourceScopus
dc.subjectAgriculture
dc.subjectDtm/dem/dsm
dc.subjectGIS
dc.subjectInformation extraction
dc.subjectModel-based processing
dc.subjectRaster
dc.subjectSoil conservation
dc.subjectWatersheds
dc.titleThe estimate of topographical variables for soil erosion modelling through geoprocessing
dc.typeActas de congresos


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