Mapeamento agrícola com imagens de sensores remotos orbitais para apoio ao gerenciamento de recursos hídricos

• Ano de defesa: 2014
• Autor(a) principal: Carmo, Nadyelle Curcino do
• Orientador(a): Ferreira, Nilson Clementino
• Banca de defesa: Ferreira, Nilson Clementino, Soares, Alexandre Kepler, Barbalho, Maria Gonçalves da Silva
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• dARK ID: ark:/38995/0013000004d08
• Idioma: por
• Instituição de defesa: Universidade Federal de Goiás
• Programa de Pós-Graduação: Programa de Pós-graduação em Engenharia do Meio Ambiente (EEC)
• Departamento: Escola de Engenharia Civil - EEC (RG)
• País: Brasil
• Palavras-chave em Português: Geoprocessamento; Mapeamento agrícola; Bacias de captação; Sensoriamento remoto
• Palavras-chave em Inglês: Geoprocessing; Agricultural mapping; Catchment areas; Remote sensing
• Área do conhecimento CNPq: ENGENHARIAS
• Link de acesso: http://repositorio.bc.ufg.br/tede/handle/tede/4318

The catchment areas of water are extremely important because they have the function of providing water for public supply, and its occupation should be monitored to avoid damage to its environmental quality. Currently, most of the mappings of use and occupation of land classified as agriculture evenly, not discriminate their crops, which could help more effectively in the planning and management of natural resources. This work aims at mapping the major crops of the state of Goiás, using GIS tools and remote sensing in order to provide support for managing water resources in the region. Vegetation indices produced from data collected by MODIS the years 2007-2013 to map cane sugar, corn and soybeans and winter corn were used. The methodology proved feasible, cost effective and promising for mapping corn and soybeans results, but the similarities obtained in relation to official data, for mapping of cane sugar and winter corn were not satisfactory. In a second step was quantified occupation of catchment basins of water for public supply for corn and soybeans in the state. The results showed that of the 183 catchment basins, 100 have these crops and that the basins of southern Goiás have densified occupation. The main conclusion of the paper is that the use and occupation of land in the catchment should be systematically monitored, which is quite feasible using images from satellite sensors with high temporal resolution, such as the MODIS images.