Geographic information system on the land use planning

Authors

  • Mayesse A. da Silva Universidade Federal de Lavras, Departamento de Ciência do Solo
  • Diego A. F. de Freitas Universidade Federal de Lavras, Departamento de Ciência do Solo
  • Marx L. N. Silva Universidade Federal de Lavras, Departamento de Ciência do Solo
  • Anna H. Oliveira Universidade Federal de Lavras, Departamento de Ciência do Solo
  • Gabriela C. Lima Universidade Federal de Lavras, Departamento de Ciência do Solo
  • Nilton Curi Universidade Federal de Lavras, Departamento de Ciência do Solo

DOI:

https://doi.org/10.5039/agraria.v8i2a2289

Keywords:

land use appropriate, land use capability, hydrologically correct digital elevation model

Abstract

Geographic information system (GIS) can be used on the extrapolation of the specific information, allowing more rapid, lower cost and high accuracy in the land use planning at catchments. The goal of this study was to use GIS as support in the land use planning at Posses catchment (Extrema, MG, Brazil). For this, the digital elevation model (DEM) was determined using the method topogrid and the interpolation quality was evaluated of two ways: comparing contour lines from survey of the catchment (scale 1:10,000) and contour lines derived from DEM and identification of model error by root mean square error (RMSE). From the DEM class of land use planning were expanded and interpreted for the catchment according the Land Use Capability Classification System used for the Brazil. Land uses recommended for the Posses catchment were native grasslands, reforestation and environmental conservancy. Posses catchment has 11% of its lands underutilized, 12% with use above the land use capability, 58% in the appropriate use, 18% of the permanent preservation areas and 1% of the roads.

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Published

2022-02-01

How to Cite

Mayesse A. da Silva, Diego A. F. de Freitas, Marx L. N. Silva, Anna H. Oliveira, Gabriela C. Lima, & Nilton Curi. (2022). Geographic information system on the land use planning. Brazilian Journal of Agricultural Sciences, 8(2), 316-323. https://doi.org/10.5039/agraria.v8i2a2289

Issue

Section

Agricultural Engineering