Mapping of slopes for the operation of agricultural harvesters in Bandeirantes Municipality (PR)

The slope of terrain represents a risk factor for mechanized harvesting, leading to impediments or restrictions on agricultural operations, or even to machines toppling over in the field. Recently, the Digital Terrain Model (DTM) has become widely adopted as one of the most viable techniques for obt...

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Bibliographic Details
Main Authors: Gustavo Rodrigues Gimenes, Rone Batista Oliveira, Alessandra Fagioli da Silva, Luiz Carlos Reis, Teresinha Esteves da Silveira Reis
Format: Article
Language:English
Published: Universidade Estadual de Londrina 2017-03-01
Series:Semina: Ciências Agrárias
Subjects:
Online Access:http://www.uel.br/revistas/uel/index.php/semagrarias/article/view/23612
Description
Summary:The slope of terrain represents a risk factor for mechanized harvesting, leading to impediments or restrictions on agricultural operations, or even to machines toppling over in the field. Recently, the Digital Terrain Model (DTM) has become widely adopted as one of the most viable techniques for obtaining slope and elevation. Therefore, this study aims to assess methods of acquiring DTMs to calculate the slope, and to determine the areas that are suitable and unsuitable for the operation of harvesters in the municipality of Bandeirantes (PR). Four methods were selected to produce DTMs for the construction of slope zoning maps applicable for harvester operations. The image sources included SRTM, ASTER GDEM, digitizing contour lines and kriging of spatial point data. After generating DTMs by the four different methods, the area suitable for the operation of harvesters was obtained based on the limits of operational slopes for harvesters in the literature. The high-resolution images, such as those obtained by scanning the contour lines and ASTER GDEM gave the best representation of the ground surface. Regardless of the method used to obtain the operational slopes, the municipality has a large area that is suitable for mechanized harvesting.
ISSN:1676-546X
1679-0359